Yesterday, Lucidity, a Bengaluru based company that helps businesses manage cloud storage more efficiently, raised $21 million in a Series A funding round led by WestBridge Capital. The funding follows a previous investment from BEENEXT in June 2024, bringing Lucidity’s total funding to $31 million.

Lucidity’s platform automates cloud storage management, helping businesses reduce costs by up to 70%. It works across major cloud providers—AWS, Azure, and Google Cloud—adjusting storage space automatically based on demand. This means companies don’t have to manually manage their cloud storage, saving time and resources.

“The need for cloud storage resources is growing with ongoing advances in AI and a simultaneous need to reduce overall cloud spend. Lucidity fundamentally transforms how enterprises manage and orchestrate their cloud storage infrastructure,” said Rishit Desai, partner at WestBridge Capital. “Lucidity’s unparalleled platform increases storage efficiency and significantly reduces costs for customers of all sizes.”

Founded in 2021, Lucidity has seen rapid growth, reporting a 400% year-over-year increase. Large companies, including World Market, Dometic, a global airline, and a major credit ratings firm, use Lucidity’s technology to better manage their cloud storage and cut expenses.

“Many enterprises struggle with properly managing their cloud storage, as it’s a challenging area to solve that hasn’t received proper attention until now,” said Lucidity co-founder Nitin Bhadauria. “Lucidity delivers the only platform that automatically manages and optimises block storage in real-time across all three major cloud providers while significantly reducing costs.”

Customers have praised Lucidity’s impact. Brian Lupson, director of operations & governance at Iron Mountain, shared, “We used to spend countless hours provisioning our cloud block storage. With Lucidity, we were able to not only free up that time by automating our storage management, but were able to save significant cost on our annual block storage spend.”

Similarly, Ram Kesavan, sr. director of engineering at World Market, said, “Lucidity removes the possibility of our servers running out of disk space as it manages disk space expansion when needed.”

With the new funding, Lucidity plans to grow its team and further improve its platform to help businesses manage storage more efficiently.“The adoption of cloud continues to accelerate yet cloud storage is often an afterthought and can be difficult to right-size,” said Dan O’Brien, chief solutions officer at Presidio. “Lucidity is a game-changer in cloud storage management, helping enterprises optimise storage utilisation, enhance performance, and significantly reduce costs.

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The Adobe suite is widely popular among professionals, thanks to its grace in integrating AI to assist creative workflows. Expanding on its existing AI-powered offerings, Adobe has now introduced a new Firefly app, along with the launch of its video model, making it a multimedia generation tool for users.

Adobe states that the Firefly video model is the industry’s first commercially safe AI video generation model, which powers ‘Generate Video (beta)’ in the Firefly application, as well as ‘Generative Extend (beta)’ in Adobe Premiere Pro. 

The company claims that it generates IP-friendly video content that can be used in production and has been trained on content that Adobe has permission to use.

It is important to note that the video model is available in public beta, which means you should be cautious about production use cases.

To get access to the video model, customers have to opt for Firefly Standard or Pro subscription plans. The plans include different limits for generating videos, images, or vectors as per the customer’s requirements. 

The Firefly app integrates with the Adobe Creative Cloud applications, including Premier Pro, Photoshop, Express, and more.

To generate a video clip, one must simply type in a text prompt, control the camera angle for the shots, and create various design elements as assets. At the moment, the model supports up to 1080p resolution, and it plans to support 4k resolution soon.

David Wadhwani, president of Adobe’s digital media business, said, “Firefly is designed for creative professionals looking for unmatched creative control and IP-friendly tools that can be used safely and effectively in both ideation and production.” 

“We’ve been thrilled to hear from beta customers who’ve found it a game-changer for ideating concepts and producing stunning videos, and we can’t wait to see how the creative community uses it to bring their stories to the world,” he added.

While Adobe has tried its best to protect the creator’s work, it remains to be seen how Firefly performs for creators and how they use it.

The post Adobe Adds New AI-Powered Video Model to Its Arsenal appeared first on Analytics India Magazine.

New research from OpenAI highlights the results of their reasoning models (o-series models) and how LLMs have evolved from amateur competitive programmers to competing with the world’s best. 

OpenAI’s latest AI model, o3, earned an impressive 2724 rating on CodeForces, placing it in the 99.8th percentile. It also secured a gold medal-level score at the 2024 International Olympiad in Informatics (IOI).

According to the research, o3 outperforms the o1-ioi model, which is specifically fine-tuned for IOI. This proves that reinforcement learning is more effective than hand-crafted approaches.

At IOI 2024, o3 competed under standard conditions and crossed the gold medal threshold. On CodeForces, it ranked among the top 200 programmers globally, competing with elite human coders.

“General-purpose reasoning capabilities developed through reinforcement learning are now outperforming carefully hand-crafted, domain-specific solutions,” said Ethan Mollick, associate professor at The Wharton School. “Rather than building specialised systems for specific tasks, large, general-purpose models can achieve superior results through better reasoning abilities.”

The research is part of OpenAI’s ongoing efforts to assess its models’ performance in competitive programming and broader software engineering. 

Anthropic, the company behind the Claude model series, also released a report on Monday which highlighted AI’s influence on the workplace.

The findings revealed that approximately 36% of all occupations incorporate AI for at least a quarter of their tasks. Moreover, 57% of AI applications enhance human capabilities, while 43% focus on automation. However, only 4% of occupations rely on AI for at least 75% of their tasks.

The study identified software development and technical writing as the primary areas where AI is utilised. In contrast, AI plays a minimal role in tasks that involve physical interaction with the environment.

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Saudi Arabia has announced a $1.5 billion investment in Silicon Valley-based AI startup Groq to expand AI inference infrastructure in the region. The agreement, revealed at LEAP 2025, Saudi Arabia’s leading tech event, strengthens the Kingdom’s AI computing capabilities and advances its Vision 2030 goal of building an AI-powered economy.

The funding builds on Groq’s previous work in the region, including the rapid deployment of the largest AI inference cluster in the Middle East in December 2024. The cluster, installed in just eight days, serves increasing global demand for AI compute power.

Groq operates from a data center in Dammam, Saudi Arabia, providing AI inference capabilities through GroqCloud. 

At LEAP 2025, Groq CEO Jonathan Ross, alongside Saudi Aramco CTO Ahmad O. Al-Khowaiter and Tareq Almin, demonstrated real-time AI applications, including reasoning large language models (LLMs), Saudi Arabia’s locally developed model Allam, and text-to-speech models in both English and Arabic.

“It’s an honor for Groq to be supporting the Kingdom’s 2030 vision,” Ross said. “We are excited to work alongside Saudi innovators to shape the next chapter of AI.”

The investment positions Saudi Arabia as a key player in AI infrastructure while addressing the region’s growing need for advanced computing solutions. Groq continues to provide AI inference technology for enterprises and developers through cloud and on-premise solutions.

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OpenAI has outlined its plans to release GPT-4.5 and GPT-5 to simplify product offerings and enhance AI usability. Sam Altman, OpenAI’s chief, shared the update in a post on X.

“We want AI to ‘just work’ for you; we realise how complicated our model and product offerings have gotten,” Altman said. He also expressed dissatisfaction with the current model picker, saying, “We hate the model picker as much as you do and want to return to magic unified intelligence.”

GPT-4.5, internally referred to as Orion, will be the next release and the last non-chain-of-thought model. Following this, OpenAI plans to unify the o-series and GPT-series models, enabling systems that can integrate all tools and determine optimal thinking time for tasks.

GPT-5 will be introduced in ChatGPT and the API as a system incorporating various OpenAI technologies, including o3. OpenAI will not release o3 as a standalone model. Altman said that GPT-4.5 or GPT-5 could be released within weeks or months.

ChatGPT’s free tier will offer unlimited access to GPT-5 at the standard intelligence level, subject to abuse thresholds. “Plus subscribers will be able to run GPT-5 at a higher level of intelligence, and Pro subscribers will be able to run GPT-5 at an even higher level of intelligence,” Altman said. These models will include capabilities such as voice, canvas, search, and deep research.

Meanwhile, according to recent reports, OpenAI is progressing in its plan to develop custom AI chips to reduce reliance on NVIDIA. The company is preparing to finalise the design of its first in-house chip in the coming months and intends to send it for fabrication at TSMC (Taiwan Semiconductor Manufacturing Company).

OpenAI is also engaged in discussions with SoftBank to secure an investment of up to $25 billion. 

Most recently, X chief Elon Musk and a group of investors made a bid to buy OpenAI for around $97.4 billion. The bid aims to acquire the nonprofit organisation that controls OpenAI. The group includes Musk’s AI company, xAI, investment firms like Vy Capital, and notable investors such as Ari Emanuel.

However, Altman reaffirmed that the company is not up for sale, stating, “The OpenAI mission is not for sale.”

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California-based Confluent, the data streaming giant founded by the creators of Apache Kafka, has announced a strategic partnership with Jio Platforms Limited to integrate its data streaming platform with Jio Cloud Services. 

This agreement positions Confluent as the first data streaming platform available on Jio Cloud. It enables businesses in India to leverage real-time data for next-generation applications, including generative AI.  

Confluent Cloud will now be accessible on Jio Cloud Services, simplifying data streaming adoption for Indian enterprises. The partnership also includes Confluent Platform as a managed service, catering to public and private sector organisations with enterprise-grade security and governance at scale.  

Kiran Thomas, president and CEO of Jio Platforms Limited, highlighted the significance of data streaming in India’s digital evolution. “We’re on the precipice of rapid transformation in India, and data streaming is a must-have for businesses to stay ahead of consumer trends, including advancements in AI,” he said. 

Data streaming is increasingly recognised as essential for innovation. According to Confluent’s 2024 Data Streaming Report, 94% of IT leaders in India believe data streaming accelerates product launches, while 95% see it as a driver of AI development.  

“Confluent with Jio will enable more organisations in India to harness the power of data streaming to fuel their businesses with real-time data and provide better services to its citizens,” said Erica Ruliffson Schultz, president of field operations at Confluent. 

She also mentioned that the partnership with Jio is a huge leap forward in making data streaming easily accessible and pervasive.

On Jio Cloud Services, Confluent will support data streaming across four core principles: streaming, connecting, processing, and governing data. The companies aim to accelerate India’s digital transformation through this collaboration.

Not Just Jio, But Also Databricks

Confluent has also recently expanded its partnership with Databricks to make real-time data integration easier for businesses, as announced by Jay Kreps, co-founder and CEO at Confluent. 

While many companies struggle to connect their AI and analytics with real-time operations because their data is siloed and difficult to manage, the company said this collaboration is aimed at helping businesses move data between systems effortlessly and securely.   

It allows businesses to instantly apply AI-driven insights, allowing them to make better, faster decisions without manual effort. For AI to be useful, it needs fresh, high-quality data. With this integration, AI models can continuously learn from real-time events, improving accuracy and automation. 

Confluent and Databricks are likely to roll out deeper product integrations in the coming months, ensuring AI-powered insights can seamlessly flow between analytical and operational systems. 

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Snowflake has launched Cortex Agents, a fully managed service aimed at integrating, retrieving, and processing structured and unstructured data at scale.

Cortex Agents plan tasks, execute them using tools, and refine responses for improved accuracy. Available via a REST API, the service integrates into applications using Cortex Analyst for structured data (SQL generation) and Cortex Search for unstructured data retrieval. 

The new solution, now in public preview, enables businesses to build AI-driven applications with advanced governance and security features.

The Cortex Agents framework integrates Anthropic’s Claude 3.5 Sonnet, which enhances reasoning, coding, and workflow execution within Snowflake’s secure perimeter.

Cortex Agents review user queries and break them into structured and unstructured components. For example, a business user can request top distributors by revenue (structured) and then ask about contract details (unstructured). The agent disambiguates queries, splits tasks, and selects tools for execution.

Cortex Analyst, a fully managed LLM-powered Snowflake Cortex feature, generates SQL for structured data, while Cortex Search retrieves insights from text, audio, and images. The system ensures governed access and compliance while mapping business terms to structured data using semantic understanding. 

Snowflake reports that Cortex Analyst has achieved 90% accuracy in text-to-SQL use cases.

On the other hand, Cortex Search has outperformed OpenAI’s embedding models by 12% in unstructured data retrieval accuracy. It supports large-scale indexing, improved affordability, and customisable vector embeddings.

Snowflake also introduced Cortex AI Observability, powered by TruLens, for the evaluation and tracing of AI agents. “AI observability can evaluate agent performance using techniques such as LLM-as-a-judge, allowing customers to refine and optimise their applications,” Snowflake said.

Snowflake sees AI agents as a transformative force for enterprises, automating complex tasks and improving efficiency across industries such as finance, engineering, and customer support. “As LLMs continue to advance, agents will collaborate, plan, execute, and refine tasks, driving efficiency and reducing costs,” the company said. 

The post Snowflake’s New Cortex Agents Bridge AI and Enterprise Data Like Never Before appeared first on Analytics India Magazine.

IIT Madras and ISRO have developed and booted an indigenous aerospace-grade semiconductor chip based on RISC-V, an open-source Instruction Set Architecture. 

The ‘IRIS’ (Indigenous RISCV Controller for Space Applications) chip was developed from the ‘SHAKTI’ processor baseline. This highlights India’s efforts toward self-reliance in semiconductor technology for space applications.  

Professor V. Kamakoti, director at IIT Madras, led the SHAKTI microprocessor project at the Prathap Subrahmanyam Centre for Digital Intelligence and Secure Hardware Architecture (PSCDISHA).

The project is backed by the Ministry of Electronics and Information Technology (MeitY) under the ‘Digital India RISC-V’ (DIRV) initiative. 

IIT Madras called this a “breakthrough in India’s self-reliance in space tech” in its post on X. The post further broke down the manufacturing process and claimed that the IRIS chip “will power ISRO’s space missions, ensuring advanced fault tolerance & computing reliability.”

V. Narayanan, chairman of ISRO, also hinted that a flight test may be coming soon! Furthermore, Kamakoti also took to X to display a demo of the chip.

@iitmadras & @isro successfully developed and booted an aerospace-grade, SHAKTI-based semiconductor chip (@ShaktiProcessor) —a breakthrough in India’s self-reliance in space tech!

This Made-in-India processor was:
Designed & tested by IIT Madras
Developed with ISRO… pic.twitter.com/Sit9pQP566

— IIT Madras (@iitmadras) February 11, 2025

How was the Chip Made?

This Made-in-India processor was manufactured at SCL (Semiconductor Laboratory) Chandigarh and packaged at Tata Advanced Systems in Karnataka. The motherboard was further developed by PCB Power in Gujarat and assembled by Syrma SGS in Chennai.

“After RIMO in 2018 and MOUSHIK in 2020, this is the third SHAKTI chip we have fabricated at SCL Chandigarh and successfully booted at IIT Madras,” Kamakoti said. 

The fact that chip design, fabrication, packaging, motherboard development, assembly, software, and booting all happened within India validates the strength of the country’s semiconductor ecosystem. 

The IRIS chip is designed for a range of applications, including IoT and strategic computing needs. This effort aligns with ISRO’s goal of indigenising semiconductors for command and control systems and other critical functions in space missions.  

The ISRO Inertial Systems Unit (IISU) in Thiruvananthapuram initiated the development of a 64-bit RISC-V-based controller and collaborated with IIT Madras on specifications and design. The final configuration was tailored to meet the computing requirements of ISRO’s existing sensors and systems.  

The design also supports future expansion through multiple boot modes and hybrid memory/device extensions. Extensive software and hardware testing ensured high reliability and performance.   

Kamaljeet Singh, director general at SCL Chandigarh, highlighted the role of SCL, saying, “Fabricated in our 180 nm technology node, the processor underwent extensive design validation and testing. SCL remains committed to supporting academia and startups.” 

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ByteDance, the parent company of TikTok, has dropped a family of joint image-video generation models called Goku. The models seem to be named after the popular anime character ‘Goku’ from the Dragon Ball series. 

This comes right after the company teased a video AI model that generates videos from images, dubbed OmniHuman-1.

Researchers claim that the Goku models help create product videos featuring AI-generated influencers, marketing avatars, landscape demos, visualising Chinese poetry, portrait video demos, and more.

The research paper attributes the model’s ability to generate high-quality videos to several key factors. One is the implementation of a rectified flow (RF) formulation for joint image and video generation and the employment of a 3D joint image-video VAE to compress inputs into a shared latent space. 

Moreover, the architecture features a Transformer network with full attention, enhanced with techniques like FlashAttention, sequence parallelism, Patch n’ Pack, 3D RoPE position embedding, and Q-K normalisation.

The paper also states that the Goku models demonstrate superior performance in both qualitative and quantitative evaluations, setting new benchmarks when compared to competitors like Luma, Open-Sora, Mira, and Pika.

Goku achieved 0.76 on GenEval, 83.65 on DPG-Bench for text-to-image generation, and 84.85 on VBench for text-to-video tasks. You can see the benchmark results below. 

“We believe that this work provides valuable insights and practical advancements for the research community in developing joint image-and-video generation models,” the researchers said.

The model’s ability to generate high-quality product videos featuring AI-generated influencers and other realistic visuals could hugely benefit content creators, influencers, marketers, and others.

The post ByteDance Unveils Goku to Take on Google’s Luma and OpenAI’s Sora appeared first on Analytics India Magazine.

TVS Motor Company on Tuesday announced plans to invest ₹2,000 crore in Karnataka over the next five years to establish a Global Capability Centre (GCC) and expand its production and engineering facilities in Mysuru. 

This initiative aims to boost innovation, attract top talent, and strengthen research capabilities, supporting the company’s 2030 growth targets.

The investment was revealed at the Global Investors Meet (GIM), Invest Karnataka 2025, where TVS Motor managing director Sudarshan Venu outlined the company’s vision.

Venu stated that they envision a capability centre that will attract top talent and innovative ideas and possess research capabilities to serve as the birthplace of next-generation bikes.

The company has signed an agreement with the Karnataka government, which includes plans to set up a test track and build new office infrastructure. The centre will bring together engineers, designers, and AI/ML experts to drive future innovations.

Venu stated that the proposed plan seeks to provide substantial solutions for both personal and commercial mobility, establishing new standards

Expansion Plans in Mysuru

According to reports, TVS Motor already operates a manufacturing facility in Mysuru with over 3,500 employees and an annual production capacity of 1.5 million vehicles. The factory caters to both domestic and export markets, generating ₹7,600 crore in revenue, with ₹1,200 crore from exports alone.

With the new investment, TVS aims to double its exports and overall revenue from Mysuru operations.

The post TVS Motor to Set Up GCC in Karnataka with a potential investment of ₹2,000 Crore appeared first on Analytics India Magazine.

The Adani Group has partnered with Singapore’s ITE Education Services (ITEES) to launch the world’s largest finishing school in Mundra (Gujarat), as announced by Gautam Adani, chairman of Adani Group, on X.

The initiative aims to train over 25,000 learners annually, supporting India’s skill development and employment efforts.  

The facility will also incorporate AI-driven immersive learning and advanced innovation centres to enhance technical training. The programme is aligned with the Make in India movement, aiming to strengthen the country’s workforce by equipping learners with industry-relevant skills.  

Gautam Adani (left) with Suresh Natarajan (right), CEO at ITE Education Services

ITEES, known globally for technical education, will bring expertise in curriculum development and training methodologies. The partnership marks a significant step in advancing India’s vocational education and workforce readiness.  

The finishing school is part of Adani Group’s broader efforts to bridge the skill gap in India. The training programme is expected to contribute to economic growth by preparing professionals for various industries.

Last year, Adani Group acquired 25 acres of land parcel in the Pimpri industrial zone of Pune’s Haveli locality from Finolex Industries for around Rs 471 crore. The company plans to develop a large data centre on this land.

The Adani Group’s data centre business is led by AdaniConneX, a 50:50 joint venture between Adani Enterprises and US-based global hyperscale data centre provider EdgeConneX. The plan was to develop 1 GW of data centre capacity over the next decade.

With this move, it aimed to become one of the top three data centre operators by 2030, capitalising on India’s increasing digitisation.

At the beginning of 2025, Mukesh Ambani’s Reliance Industries Limited (RIL) also announced plans to construct what could become the world’s largest data centre by capacity in Jamnagar, India. 

This development comes in the backdrop of a global surge in investments in AI infrastructure.

Reliance executives have not yet commented on the project, which is estimated to cost between $20 billion and $30 billion. Currently, the conglomerate has approximately $26 billion on its balance sheet, which could be used to finance the venture.

The post Adani Group, Singapore’s ITEES to Launch the World’s Largest Finishing School With AI-Driven Learning appeared first on Analytics India Magazine.

Enfabrica Corporation, the California-based leading innovator in AI networking, has announced the opening of its India R&D centre in Hyderabad, strengthening its global presence and expanding AI infrastructure capabilities. 

This move underscores the company’s commitment to scaling silicon and software product development while leveraging India’s deep talent pool.

The Hyderabad centre will focus on accelerating the delivery of Enfabrica’s cutting-edge Accelerated Compute Fabric SuperNIC (ACF-S) silicon and networking software, designed to enhance the efficiency and scalability of AI infrastructure for Generative AI (GenAI) training, inference, and retrieval-augmented generation (RAG) applications.

The company aims to significantly expand its workforce in India, with plans to quadruple its headcount by the end of 2025.

The company’s 3.2 Terabit/second ACF SuperNIC is engineered to be the fastest and most resilient GPU network interface controller, capable of supporting AI clusters ranging from 2,000 to over 100,000 GPUs. By optimising network design, the technology aims to enhance AI framework performance while reducing capital and operational expenses.

“Computer technology has always advanced at the speed and capacity set by interconnect and scaling capabilities,” said Shrijeet Mukherjee, chief development officer at Enfabrica. “There is a tremendous opportunity for expansion in this market and Enfabrica is well positioned to help lead that evolution. We are proud to establish our very own hub in Hyderabad, leveraging the massive Indian talent pool to drive further innovation.”

India’s Growing AI EcosystemIndia’s AI market is on track to reach $8 billion by 2025, growing at a compound annual growth rate of over 40% from 2020 to 2025. The country’s digital infrastructure, combined with its diverse demographic and economic landscape, presents a strategic advantage for scaling AI applications. 

Backed by Strong InvestmentFounded in 2020 by Silicon Valley veterans Rochan Sankar and Shrijeet Mukherjee, alongside key engineers from Broadcom, Google, Cisco, AWS, and Intel, Enfabrica has rapidly emerged as a leader in AI networking. 

The company recently announced the general availability of its 3.2 Tbps ACF SuperNIC and secured a $115 million Series C funding round, bringing its total funding to $260 million. With strong investor backing, Enfabrica is poised for further growth and innovation in the AI infrastructure space.

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OpenAI CEO Sam Altman revealed in an interview with British media outlet Sky News on Tuesday that the company would like to work with China. Altman made the comment when he was asked if he was worried about the country’s progress. 

However, responding to a question about whether the US would let him do that, Altman said, “I know that for sure, no. Should we try as hard as we can? Absolutely, yes.”

Altman’s statement follows the shockwave created by DeepSeek in the AI ecosystem, which has sparked concerns among several industry leaders who fear China’s rise. 

Recently, Dario Amodei, CEO of Anthropic, said, “If we can close [export control loopholes] fast enough, we may be able to prevent China from getting millions of chips, increasing the likelihood of a unipolar world with the US ahead.”

Similarly, in an interview with CNBC at the Davos World Economic Forum 2025, Microsoft CEO Satya Nadella said, “We should take the development of China very seriously.” 

Venture capitalist Vinod Khosla echoed the industry’s strongest fear. In a blog post, he earlier said, “We may have to worry about sentient AI destroying humanity, but the risk of an asteroid hitting the Earth or a pandemic also exists. But the risk of China destroying our system is significantly larger, in my opinion.” 

Altman’s take on China seems refreshing, to say the least. 

In a podcast with The Times on Monday, while speaking about China’s DeepSeek, Altman said, “They did some nice work. I think there’s also some nice pieces of product work like showing the chain of thought.” He went on to praise the research behind DeepSeek’s model, although he feels “it isn’t a big update” to the ecosystem. 

OpenAI reportedly has evidence that DeepSeek trained on its models and is investigating this with Microsoft. However, Altman recently revealed that the company does not plan to sue DeepSeek right now. 

Altman is Still a Fan of Open Source 

In the same interview with Sky News, Altman added, “I think we should probably open source somewhat more.” 

In a Reddit ‘ask-me-anything’ (AMA) session, he said, “I personally think we have been on the wrong side of history here and need to figure out a different open-source strategy.”

This comes at a time when industry leaders are rooting for the development of more open-source models, owing to DeepSeek’s recent success.

Meanwhile, Chamath Palihapitiya, a venture capitalist, said in an interview, “I think in the war of open versus closed, open has won.” 

Palihapitiya believes OpenAI is now considering to open source what they’re doing in some way.

That said, OpenAI has released multiple open-source models and tools in the past. The company’s second iteration of the GPT model was also made available for open-source use. 

The post ‘We’d Like to Work With China,’ says OpenAI CEO Sam Altman appeared first on Analytics India Magazine.

Gujarat chief minister Bhupendra Patel on Tuesday unveiled the Gujarat Global Capability Centre (GCC) Policy (2025-30) at GIFT City, Gandhinagar. The policy aims to make the state a leading hub for GCCs. 

Under the policy, the Gujarat government plans to set up at least 250 new GCCs, attracting over ₹10,000 crore in investment and creating more than 50,000 jobs. The scheme also offers financial incentives, including capital and operational expenditure support, employment assistance, skill development initiatives, and tax benefits.

Speaking at the event, Patel highlighted Gujarat’s commitment to policy-driven growth under Prime Minister Narendra Modi’s leadership. “This initiative has opened new avenues for establishing Global Capability Centres in Gujarat. While these centres were initially set up as cost-saving units, they have now evolved into hubs for innovation and business resilience,” Patal said.

Key Highlights

To support businesses, the Gujarat GCC policy offers financial incentives, including capital expenditure (CapEx) support of up to ₹200 crore and operational expenditure (OpEx) support of up to ₹40 crore. 

It also includes employment incentives, covering up to 50% of one month’s salary for newly hired local employees, along with an interest subsidy of 7% on term loans, capped at ₹1 crore.

Moreover, eligible companies will receive full electricity duty reimbursement. 

The policy emphasises skill development, offering up to 75% reimbursement of training costs for students and working professionals. Furthermore, businesses can benefit from support for quality certification, with up to ₹10 lakh reimbursement to enhance industry standards.

Patel also emphasised Gujarat’s strong infrastructure, industry-friendly policies, and skilled workforce. “Gujarat is ready to become a global leader in the GCC ecosystem, supporting the Prime Minister’s vision of a developed India by 2047.”

The policy aligns with the Union Budget 2025, which includes a special plan to promote GCCs across India and expand job opportunities in smaller cities. 

However, Gujarat is not alone.

Last month, Sanjay Dubey, additional chief secretary at the Madhya Pradesh government, announced on LinkedIn the launch of a GCC Policy 2025.

The state cabinet approved the policy, which builds on the success of the Madhya Pradesh IT, Information Technology Enabled Services (ITES), and ESDM Investment Promotion Policy 2023. This move seeks to transform the state’s tier-2 cities into hubs of global innovation, collaboration, and excellence.
In 2024, the Karnataka government introduced the GCC policy 2024, aiming to bolster its reputation as a global innovation hub while creating 3.5 lakh jobs by 2029.

The post Gujarat Launches GCC Policy to Create Over 50,000 Jobs appeared first on Analytics India Magazine.

Prime Minister Narendra Modi met Google CEO Sundar Pichai at the AI Action Summit, which is currently underway in Paris. While highlighting India’s AI progress, Modi sent a clear message to the world: Invest in the country’s AI future.

“India is making remarkable strides in AI, leveraging it for public good. We urge the world to come and invest in our nation and bet on our Yuva Shakti!” he wrote on X. 

Pichai expressed his excitement about meeting the PM. He said they discussed AI’s potential in India and ways to work together on its digital transformation.

Besides co-chairing the summit with French President Emmanuel Macron, Modi also met with Perplexity CEO Aravind Srinivas, Scale AI CEO Alexandr Wang, US vice president JD Vance, and a few other AI leaders at the summit. 

In his speech on Monday, he said, “AI is writing the code for humanity in this century.” He also expressed his views on the values that shape a powerful and responsible AI system and discussed building quality datasets free from biases. 

India will be hosting the next AI summit.

Modi reinforced the announcement made by IT minister Ashwini Vaishnaw a few days ago, saying that “India is building its own AI model” and added that the country has the world’s largest AI talent pool. 

The IndiaAI Compute Facility, which has acquired 18,000 GPUs, will lead India’s initiative to build its AI models.Speaking at the Invest Karnataka 2025 inaugural event at Bangalore Palace on Monday, Union minister Rajnath Singh proclaimed, “Bengaluru will give India its first foundational artificial intelligence model.” The announcement underscores the city’s growing role as a leader in the next wave of technological innovation.

The post PM Modi Urges the World to Invest in India’s AI Future appeared first on Analytics India Magazine.

Accenture and Google Cloud are collaborating to accelerate the adoption of cloud solutions and generative AI in Saudi Arabia. The goal is to help businesses improve operations, create new opportunities, and enhance customer experiences while ensuring data security and compliance.

A recent report by the Saudi Data and Artificial Intelligence Authority (SDAIA) and Accenture suggests that generative AI could boost Saudi Arabia’s GDP by 4%. 

To support this growth, Accenture and Google Cloud are expanding their generative AI centre of excellence to Saudi Arabia. This will help businesses develop AI-powered solutions using Google Cloud’s technology and Accenture’s expertise.

“Being ready for continuous reinvention hinges on a modern digital core to rapidly seize every opportunity,” said Majid Altuwaijri, Accenture’s Saudi Arabia chair and country managing director. 

The partnership also aims to help companies like the General Organisation for Social Insurance (GOSI) leverage generative AI. GOSI has already used cloud technology to create a secure, scalable AI environment where its developers and researchers can experiment with the latest AI tools.

“Organisations need the combination of leading technology and services expertise to successfully deploy generative AI,” said Bader Almadi, general manager of Google Cloud in Saudi Arabia. “With Google Cloud’s advanced capabilities and Accenture’s industry expertise, customers will have access to the resources needed to plan, deploy and optimise generative AI projects.”

Beyond technology, Accenture and Google Cloud are committed to developing local talent. To help professionals gain skills in cloud computing and AI, they plan to offer training programs, hackathons, and hands-on labs. 

Accenture’s LearnVantage platform will provide upskilling programs, specialised academies, and certifications to support Saudi Arabia’s digital workforce.

The collaboration comes at a time when businesses in Saudi Arabia are eager to embrace digital transformation. 

By combining AI, cloud technology, and local expertise, Accenture and Google Cloud aim to drive innovation and ensure data security through Google’s Dammam cloud region.

Meanwhile, Australian telecommunications company Telstra and Accenture also announced plans for a joint venture (JV). This is aimed at accelerating Telstra’s data and AI strategy to enhance network leadership and improve customer experiences.

While the JV will develop specialised AI tools to optimise business processes and enhance workforce efficiency, Telstra’s data and AI teams in Australia and India will be offered roles in the JV, with training to advance AI fluency and critical skills.

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Meta is in talks to acquire FuriosaAI, a South Korean AI chip startup, to strengthen its custom chip efforts amid an NVIDIA GPU shortage. According to reports, the deal could be finalised this month, but other buyers are also in discussions.

Founded in 2017, FuriosaAI developed RNGD, an AI chip optimised for Llama 2 and Llama 3. The chip is said to consume less power than NVIDIA’s H100 GPUs. 

FuriosaAI has raised 170 billion won ($115 million) from investors, including Naver and DSC Investment. CEO June Paik, formerly of Samsung and AMD, holds an 18.4% stake.

The talks come as South Korean rival Rebellions merged with SK Hynix-backed Sapeon, forming the country’s first AI chip unicorn. 

South Korea is ramping up AI investments, positioning startups like FuriosaAI as key players. If Meta proceeds with the acquisition, it could reduce the reliance on NVIDIA’s high-cost GPUs.

Meanwhile, even OpenAI is building its custom chip.

The company plans to finalise the design soon and send it to TSMC for production, with mass production expected in 2026. A team of 40 engineers, led by former Google employee Richard Ho, is developing the chip in partnership with Broadcom. The chip will be used for training AI models and improved over time.

Tech giants Microsoft and Meta have faced challenges in producing AI chips. OpenAI’s move aligns with industry efforts to reduce dependence on NVIDIA, which controls 80% of the AI chip market. Microsoft and Meta plan to invest $80 billion and $60 billion in AI infrastructure next year, respectively.

The chip will use 3-nm technology with features similar to NVIDIA’s, including fast memory and networking. 

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Positron, an AI chip startup that aims to go head-to-head with NVIDIA, has raised $23.5 million in funding from investors, including Flume Ventures, Valor Equity Partners, Atreides Management, and Resilience Reserve. The company said it will use the fund to scale the production of its energy-efficient AI chips, offering businesses a more cost-effective alternative to NVIDIA’s hardware.

The company, launched in 2023, is led by Mitesh Agrawal, with co-founders Thomas Sohmers and Edward Kmett.

“With this funding, we’re scaling at a pace that AI hardware has never seen before–from expanding shipments of our first-generation products to bringing our second-generation accelerators to market in 2026,” Agrawal said in a statement.

He added that their solution is growing rapidly because it outperforms conventional GPUs in both cost and energy efficiency while delivering AI hardware that eliminates reliance on foreign supply chains.

More Rivals to NVIDIA AI Chips 

Positron, as a startup, claims to have already shipped products to data centres and neoclouds around the US.

According to the company, their Atlas systems are presently achieving 3.5 times better performance per dollar and 3.5 times greater power efficiency than NVIDIA H100 GPUs for inference. Its servers powered by field-programmable gate array (FPGA) support models with up to a trillion parameters while offering plug-and-play compatibility with Hugging Face and OpenAI APIs.

The system uses a memory-optimised architecture that uses more than 93% of the bandwidth. Traditional GPUs often consume upwards of 10,000 watts per server, creating a major hurdle for data centres with limited infrastructure. However, the chip’s energy-efficient architecture makes it cost-efficient, allowing traditional data centres to harness AI computing without needing to overhaul the infrastructure completely.

Addressing the chip’s unique value proposition in a statement, one of the investors, Rob Reid, the co-founder of Resilience Reserve, said, “What sets Positron apart is not just its cost efficiency, but its ability to bring AI hardware to market at an unprecedented speed and provide high performance per watt. Their innovative approach is enabling businesses to scale AI workloads without the typical barriers of cost and power consumption.”

Positron mentioned that it has built a fully American supply chain, which ensures that its AI hardware is designed, fabricated, and assembled in the US. With developments like this, including OpenAI’s aim to produce AI chips, it should be exciting to see who succeeds in taking off NVIDIA’s AI crown.

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A research study commissioned by computing giant IBM revealed on Wednesday that most Indian companies made significant progress in executing their AI strategies last year. 

The study surveyed over 2,000 IT decision-makers worldwide, 224 of whom were from India. Among the ones surveyed in the country, 87% reported progress in their AI strategy, and 76% revealed that they had achieved results driven by return on investment (ROI).

About 89% of the Indian respondents said their companies have started more than 10 AI pilots in the last year. Furthermore, 93% of the Indian respondents said they will increase their AI investments this year. 

The majority of them reported looking for open-source solutions, and 48% revealed that more than half of the AI solutions being used are based on open-source technologies.

Among the companies that are yet to achieve ROI-driven results from AI projects, 33% expect to see savings within the next 12 months, and all of them believe they will achieve a positive ROI within three years. 

Only 1% of the surveyed Indian respondents revealed that their AI strategy had not made progress. 

The surveyed Indian companies revealed that they are focusing their AI investments this year on IT operations, software coding, and data quality management.  

The detailed report from IBM, outlining the findings from multiple countries worldwide, can be found here. 

Indian Prime Minister Narendra Modi on Tuesday spoke at the AI Action Summit in Paris, where he said that India leads in AI adoption. According to him, India has one of the world’s largest AI talent pools. 

“India is building its own large language model. Considering our diversity, we also have a unique public-private partnership model for pooling resources like computing power,” he added. In this year’s Budget, the government allocated ₹2,000 crore for the IndiaAI mission – nearly a fifth of the scheme’s ₹10,370 crore announced last year. 

Moreover, AIM recently reported that Indian companies and startups are increasingly using AI-enabled coding tools. Although companies were initially hesitant to adopt such tools, they are now leaning toward them due to their benefits. 

Furthermore, a recent survey by GitHub revealed that 56% of Indian developers are using AI tools to help them boost their chances for employment owing to the skills they develop. Moreover, around 80% of them believe AI tools have improved code quality.

The post Indian Companies Bullish on Long-Term AI Investments; 76% Surveyed Firms Achieved ROI-Driven Results: IBM Study appeared first on Analytics India Magazine.

Apple has reportedly partnered with Chinese tech giant Alibaba to introduce AI features to iPhones in China, according to The Information.

The move comes at a time when iPhone sales in China have declined, partly due to a lack of advanced AI capabilities. With local competitors like Huawei integrating AI into their smartphones, Apple aims to stay competitive by leveraging Alibaba’s vast consumer data.

Apple initially considered working with Baidu, Tencent, ByteDance, and DeepSeek but ultimately chose Alibaba. The partnership is expected to help the Cupertino-based giant navigate China’s strict regulatory environment while enhancing Siri, search, and personalisation features for Chinese users.

The delay in Apple Intelligence in China was due to its reliance on ChatGPT, which is unavailable in China. 

By collaborating with Alibaba, Apple may accelerate AI feature approvals and make iPhones more appealing in China. However, the deal also signals a rare shift for Apple, as it will need to integrate third-party AI into its tightly controlled ecosystem.

This partnership highlights the growing importance of AI in the smartphone market and Apple’s efforts to maintain its foothold in China. China is Apple’s second-largest market after the US, and securing a strong AI strategy in the region is crucial for the company’s competitiveness.

Previously, Apple Intelligence came under fire for sending out an incorrect notification on the iPhone regarding a BBC news report about the arrest of Luigi Mangione, the lead suspect in the murder of UnitedHealthcare CEO Brian Thompson. “Luigi Mangione shoots himself…” read a part of the notification. Following this, Apple paused the feature.

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Cybercriminals have increasingly been exploiting the growing use of artificial intelligence (AI) with a new phishing scam that tricks users into downloading malware. Security researchers at CloudSEK have uncovered a sophisticated cyberattack called the ‘DeepSeek ClickFix scam’, which uses fake captcha pages and malware-infected downloads to steal login credentials.

How the Scam Works

Attackers have created a fake website (deepseekcaptcha[.]top) that looks very similar to DeepSeek’s official verification page. 

As part of this scam, users are asked to complete a fraudulent captcha verification. When clicked, the verification runs a hidden PowerShell command. This command installs two dangerous malware programs – Vidar Stealer and Lumma Stealer – that steal login details, financial data, and session tokens.

The stolen data can be used to hack accounts, including those on platforms like Steam and Telegram. To avoid detection, cybercriminals have used Cloudflare hosting, making it difficult for security systems to track and block the malicious site.

Cybersecurity Experts Warn AI Users to Stay Vigilant

According to CloudSEK’s threat intelligence lead, Sparsh Kulshrestha, this attack highlights how hackers are adapting to new technologies. 

“The DeepSeek ClickFix scam is a stark reminder of how cybercriminals continuously adapt to exploit emerging technologies. AI users must be extra vigilant when engaging with online verification requests,” he warned.

Cybersecurity experts warn that AI-related scams are becoming more sophisticated, making them harder to detect using traditional security tools.

How to Protect Yourself

CloudSEK recommends several precautionary measures to prevent phishing scams. Users should always verify website URLs before entering credentials to ensure they are on a legitimate platform. 

Users must also be cautious of captcha requests, as AI platforms do not repeatedly require verification. Unexpected prompts should be treated with suspicion. 

Enabling multi-factor authentication (MFA) adds an extra layer of security, which prevents hackers from accessing accounts even if credentials are stolen. Organisations should also implement anti-phishing protection, such as email filters and domain monitoring tools, to detect phishing scams early. 

Lastly, keeping devices and security software updated helps protect against new and evolving threats.

The post CloudSEK Uncovers Fake Captcha Scam Targeting AI Users appeared first on Analytics India Magazine.

Invest Karnataka 2025 saw the signing of several significant memorandums of understanding (MoUs), reinforcing the state’s attractiveness to major investors. The Mahindra Group outlined plans to invest approximately ₹40,000 crore to expand its footprint in Karnataka, particularly in renewable energy and electric vehicles. 

Similarly, JSW Group committed ₹1.2 lakh crore toward increasing its steel production and setting up new facilities in the state.

While not all agreements were disclosed, industry leaders expressed confidence in Karnataka’s industrial-friendly policies and commitment to economic expansion.

In the semiconductor sector, US-based Lam Research inked an MoU with the Karnataka government, pledging ₹10,000 crore to strengthen the state’s growing role in chip manufacturing. 

Altogether, these and other investment commitments amount to nearly $115 billion, highlighting Karnataka’s business-friendly environment and focus on sustainable economic expansion.

Source: X

Launch of Industrial Policy

The Government of Karnataka has launched its Industrial Policy 2024-29, emphasising a streamlined single-window clearance system to enhance investor experience and facilitate ease of doing business. 

Deputy chief minister DK Shivakumar introduced the policy on the inaugural day of the Global Investors Meet—Invest Karnataka 2025, in the presence of chief minister Siddaramaiah, industries minister MB Patil, and other senior officials. 

The new industrial policy aims to accelerate economic growth, attract investments, and create 20 lakh jobs by 2029. With a target to boost the manufacturing sector’s annual growth rate to 12% and attract investments worth ₹7.5 lakh crore, the policy focuses on making Karnataka a leader in sustainable industrial practices. 

It also prioritises sunrise sectors such as Electronics System Design & Manufacturing (ESDM), Aerospace & Defense, Advanced Manufacturing, and Future Mobility. Additionally, the government aims to ensure balanced regional development by incentivizing industrial expansion in underdeveloped areas.

One of the key features of the policy is the recognition of logistics and warehousing as an industry, granting it the necessary support and investment avenues. 

To address skill shortages in the sector, the government will roll out specialised workforce training programs, including industry-connected workshops, vocational training, and technical courses in Industrial Training Institutes (ITIs). These efforts aim to bridge skill gaps and create a highly skilled workforce.

A major focus of the new policy is the introduction of flexible subsidy options for investors, allowing them to choose between Production-Linked Incentives (PLI) and Capital Subsidy, depending on their business needs. 

Additionally, sustainability initiatives receive significant attention, with incentives offered to industries implementing Zero Liquid Discharge (ZLD), air pollution control, energy efficiency measures, and electrification of thermal processes. Companies with Greenco certification will be eligible for additional benefits.

The policy also encourages the integration of Research & Development (R&D) centers and Global Capability Centers (GCCs) with manufacturing units by offering a 10% additional incentive. 

Speaking at the event, Union Minister Rajnath Singh said that Bengaluru will give India its first foundational AI model. “As India, Bangalore not only creates the future of India but also saves it, driving innovation and progress at national and global scale,” he said.

Anand Mahindra, Chairperson of Mahindra and Mahindra, at the Inaugural event of Invest Karnataka 2025. Source: AIM

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Perplexity, an AI search engine startup, announced that its in-house model, Sonar, will be available to all Pro users on the platform. Now, users with the Perplexity Pro plan can make Sonar the default model via settings.

Sonar is built on top of Meta’s open-source Llama 3.3 70B. It is powered by Cerebras Inference, which claims to be the world’s fastest AI inference engine. The model is capable of producing 1200 tokens per second. 

“We optimised Sonar across two critical dimensions that strongly correlate with user satisfaction – answer factuality and readability,” Perplexity announced, indicating that Sonar significantly improves the base Llama model on these aspects. 

Perplexity revealed that their evaluations found that Sonar outperforms OpenAI’s GPT-4o mini and Anthropic’s Claude 3.5 Haiku and offers performance parity with the bigger models GPT-4o and Claude 3.5 Sonnet.

Furthermore, Perplexity said Sonar is 10 times faster than Google’s Gemini 2.0 Flash. 

Recently, French AI startup Mistral revealed its app, Le Chat, which claimed to be the fastest AI assistant in the competition. During our testing, we found it to be faster than all other models. Gemini 2.0 Flash, on the other hand, came in second. Like Perplexity’s Sonar, Mistral’s Le Chat is also powered by Cerebras Inference. 

Recently, Perplexity also announced the availability of the powerful DeepSeek-R1 model on the platform, hosted on servers in the United States. 

A few weeks ago, Perplexity announced that the Sonar API is available in two variants: the Sonar and the Sonar Pro. The company also called it the most affordable API in the market.

The company said Sonar Pro is “ideal for multi-step tasks requiring deep understanding and context retention”. Moreover, it provides “in-depth answers” with twice the citations of Sonar. The Pro version costs $3 per million input tokens, $15 per million output tokens, and $5 per 1,000 searches, with multiple searches allowed. 

The Sonar plan is simpler. It charges $1 per million tokens for input and output and $5 per 1,000 searches, with only one search per request.

The post Perplexity Launches Sonar for Pro Users; Performance on Par with GPT-4o, Claude 3.5 Sonnet appeared first on Analytics India Magazine.

Telangana is evolving from merely serving as a back office for global companies to becoming a centre for innovation, advanced technology, and intellectual property development.

At the 32nd Hyderabad Software Enterprises Association (HYSEA) National Summit & Awards, Telangana’s IT minister, Sridhar Babu, outlined a bold vision to shift from Global Capability Centers (GCCs) to Global Value Centers (GVCs), strengthening Hyderabad’s position in the global technology landscape.

“Over the past few years, GCCs have made Hyderabad a key technology and business hub. Now, we must take the next step—moving from service delivery to value creation, from execution to innovation,” Babu said. “Hyderabad will not just be a preferred destination for global enterprises; it will become essential to the future of technology.”

According to government data, the city’s IT sector is growing at 13% annually, with $32 billion in exports and $5 billion in domestic IT output. With a $186 billion GDP, Telangana aims to contribute $1 trillion to India’s economy in the next decade by leading in AI, semiconductors, defense technology, and deep-tech innovation. 

Hyderabad already hosts 1,500+ tech firms, 1.5 million IT professionals, and 300,000 AI engineers, making it one of the fastest-growing tech hubs globally.

The HYSEA National Summit & Awards, organised by HYSEA and Software Technology Parks of India (STPI-H), is Telangana’s leading IT industry event. This year’s theme, “AI & Beyond: Redefining the Future,” highlighted Hyderabad’s role in AI-driven transformation.

As Telangana focuses on AI in governance, semiconductor research, and deep-tech skills, the shift from GCCs to GVCs will help attract more global investments and establish Hyderabad as a leader in next-generation technology.

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In an Indo-French collaboration between two localisation-focused companies driven by AI, Bengaluru-based Reverie Language Technologies has partnered with MediaWen, a Paris-based startup. The announcement was made at the AI Action Summit held in the French capital.

This collaboration aims to revolutionise video accessibility by enabling seamless localisation into 11 Indian languages, fostering inclusivity across diverse audiences. While Reverie builds AI-driven speech and text models for Indian languages, MediaWen offers localisation optimisation for audiovisual content.

Accelerating Video Localisation in Indian Languages

India features a diverse set of languages. While solutions like Google Translate can overcome the language barrier, they may not be a one-size-fits-all solution for organisations. This is where companies like Reverie step in by trying to build an AI rocket for India and experimenting with desi bots.

The partnership integrates Reverie’s proprietary AI technologies, such as automated translation, speech-to-text, and text-to-speech APIs, into MediaWen’s SaaS-based video localisation platform, MediaWen•Hub. Together, they aim to create a sophisticated AI-powered video localisation ecosystem tailored for the Indian audience.

The AI-driven integration empowers organisations with automated transcription, translation, and speech synthesis in 11 Indian languages, including Hindi, Tamil, Marathi, Telugu, Odia, Punjabi, Malayalam and Gujarati.

Vivekananda Pani, co-founder of Reverie Language Technologies, shared his thoughts on the collaboration, “As video formats continue to dominate digital communication, democratising content for Indian audiences is essential. Research indicates that over 2 billion videos are shared daily in India across multiple platforms.”

He further added, “With our AI-driven integrations on MediaWen•Hub, we are excited to support the next generation of content creators and ensure wider accessibility across digital ecosystems.”

MediaWen CEO Erwan de Kerautem also spoke about the significance of the alliance. “The complementary technologies and shared values of this Franco-Indian partnership make it all the more significant. Giving everyone access to video content in their preferred language strengthens our common mission to train, educate and entertain the Indian population in diverse languages.”

They have made the solution available to the public at Coming2India.com. This newly launched full-service localisation platform, backed by Eureka Innowwide, combines expertise from both companies.

In addition, they have partnered with Braahmam’s team of native Indian language experts to provide an end-to-end localisation experience.

On its website, the company currently mentions use cases for its solution in marketing, communications, and e-learning. Such a solution can benefit any foreign company that wants to communicate with the Indian market or Indian clients. It remains to be seen how the partnership will progress.

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Union Minister Rajnath Singh, speaking at the Invest Karnataka 2025 inaugural event at Bangalore Palace, declared that “Bengaluru will give India its first foundational artificial intelligence model.” The announcement underscores the city’s growing role as a leader in the next wave of technological innovation.

Singh highlighted how Bengaluru, long recognised as India’s technology capital, has consistently been at the forefront of transformative industries. “Just as the city of India laid its software and technology foundation, I am confident that in the near future, Bangalore will give India its first foundational artificial intelligence model,” he stated, indicating the government’s commitment to using AI as a key driver of economic and industrial growth.

The event, attended by industry leaders, policymakers, and investors, showcased Karnataka’s strategic position in India’s economic and technological landscape. Singh praised Bengaluru’s role in India’s ascent to global prominence, citing its deep-rooted expertise in aerospace, information technology, and now, AI. “As India, Bangalore not only creates the future of India but also saves it, driving innovation and progress at national and global scale,” he said.

The minister also reassured investors about India’s evolving business climate, emphasising that the days of bureaucratic hurdles were over. “Today, India no longer presents red tape to investors. Instead, we roll out a red carpet for them,” Singh remarked. 

A few days back, Union IT Minister Ashwini Vaishnaw announced at the Utkarsh Odisha Conclave that India is set to develop its own generative AI model, aiming to rival global platforms like ChatGPT and DeepSeek. “Soon, we will have our own LLM,” said Vaishnaw.

The initiative will be driven by the IndiaAI Compute Facility, which has acquired 18,000 GPUs to support the creation of an LLM tailored to the country’s needs.

Invest Karnataka 2025, scheduled from February 12 to 14 at Bangalore Palace, is set to be a novel platform where global leaders, investors, and innovators converge to discuss the future of industries, economies, and technology. 

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OpenAI chief Sam Altman has once again reiterated that the company is not for sale, dismissing recent speculation about a potential bid from X chief Elon Musk. In a recent interview with Bloomberg, Altman said, “The OpenAI mission is not for sale.” This comes amid reports that Musk, who is working on his own AI venture, xAI, has been trying to acquire OpenAI.

Altman believes Musk’s actions are aimed at slowing down OpenAI’s progress. “I think he’s probably just trying to slow us down,” Altman said. “He obviously is a competitor.” Altman further expressed a preference for competition through innovation rather than tactics like lawsuits. “I wish he would just compete by building better products,” he said.

Regarding OpenAI’s structure, Altman clarified that the company is not moving to a for-profit model. In December last year, the company published a blog in which it said that OpenAI’s Board of Directors is reviewing its corporate structure to ensure it aligns with the mission of benefiting all of humanity through artificial general intelligence (AGI). 

The company said the goal is to choose the best non-profit/for-profit structure for long-term success, ensure the sustainability of the non-profit, and equip both arms to support the mission.

“We’re not moving to a for-profit model where we’re not sure we’re going to do it all,” he said. The nonprofit aspect of OpenAI will continue to be important, with the board exploring options for its future structure.

Altman is attending the Paris Action Summit, which is focused on using AI technology wisely. He spoke about the importance of infrastructure and economic growth and mentioned OpenAI’s latest product “Deep Research” as an example of innovation. 

Musk and a group of investors made a bid on Monday to buy OpenAI for around $97.4 billion. The bid is aimed at acquiring the nonprofit organisation that controls OpenAI. The group includes Musk’s AI company, xAI, investment firms like Vy Capital, and notable investors such as Ari Emanuel.

However, Altman took to X to reject the offer and suggested that OpenAI would rather buy Twitter for $9.74 billion.

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At the AI Action Summit 2025 hosted in Paris, France, Google CEO Sundar Pichai spoke about how AI can influence various sectors such as education, healthcare, science, etc. and why the company invests as much in the industry. 

While Google has taken multiple opportunities to showcase how the company plans to use AI to benefit humanity, Pichai’s recent talk included several personal anecdotes as he urged the world to embrace AI and address issues related to public policy. 

He took the stage to help ease the scepticism associated with AI and spoke about how policies must be framed with a balanced approach.

“I grew up doing math using logarithmic tables, and I was uncomfortable watching my kids learn math with smartphones. They’ve turned out just fine,” he added.

‘We Mustn’t Let Our Bias for Present Get in Way of Future’

Pichai began his talk by sharing his experiences while growing up in Chennai. He shared how he had to wait five years before his family acquired a rotary phone, which changed their lives. 

Moreover, he revealed once he had to take a “four-hour round trip” to get blood test results for his mother, but, now, all he needed to do was just pick up the phone. 

Citing similar examples, Pichai highlighted the power of transformative technologies. “We’re still in the early days, yet I already believe AI will be the most profound shift of our lifetimes,” he said. 

Pichai added that to unlock the full potential of AI, an ecosystem of innovators must be enabled, and a powerful infrastructure must be built. “We’re excited for the path [US] President [Donald] Trump, [French] President [Emmanuel] Macron and other countries are forging here,” he said. 

Pichai highlighted the need for industries to invest in people and prepare them for the workforce ahead. He believes people will have to act boldly to advance the applications of AI responsibly. 

Along these lines, Pichai outlined a framework for a successful AI public policy. This policy must address the risks associated with the technology without affecting progress. He also suggested that policies must fill gaps and draw on existing laws instead of creating new ones.

However, the AI race is not limited to the United States. China made a bold entry recently, France is showing promise with Mistral, and India is actively working on a foundational model. Hence, Pichai suggested that policies must be aligned across countries. 

“AI can’t flourish if there is a fragmented regulatory environment, with different rules across different countries and regions,” he said. 

According to him, AI is a once-in-a-generation opportunity to improve lives. “We must not let our own bias for the present get in the way of the future.” 

Taking the stage at the summit, Indian Prime Minister Narendra Modi, said that AI is writing the code for humanity.

PM Modi said AI is developing at an unprecedented scale and speed, and being adapted and deployed even faster. He stressed the need for collective global efforts to establish governance and standards. 

“Governance is not just about managing risk and rivalries, it is also about promoting innovation

and deploying it for the global good. So we must think deeply and discuss openly about innovation and governance,” he said, echoing Pichai’s sentiment. 

France & EU to Loosen Regulations

Aligning with Pichai’s expectations, Macron said that Europe is planning to reduce AI regulations. As per Reuters, European Union’s digital chief Henna Virkkunen promised to simplify rules and implement them in a business-friendly way. 

With regards to AI infrastructure in France, Macron announced plans for €109 billion of private AI investment, analogous to The Stargate Project in the US. 

The recent few events have been a ray of hope for Europe and its relatively restricted tech ecosystem. Sam Altman, CEO of OpenAI, announced that the company is opening a new office in Munich, Germany. This is in addition to their previous offices in Dublin, London, Paris and Brussels. 

Furthermore, Mistral announced plans to invest “several billion euros” in building its first data centre in France. The AI startup also recently announced a new application called Le Chat, which it claimed is the fastest AI assistant capable of producing over 1,000 tokens per second. The chatbot is powered by Cerebras Inference, which is also touted as the world’s fastest AI inference engine. 

The post ‘It was Uncomfortable to Watch My Kids Learn Math on Smartphones, but They Turned Out Fine,’ says Google CEO appeared first on Analytics India Magazine.

Capgemini, on Tuesday, introduced a generative AI-driven method for protein engineering that significantly reduces data requirements, making scientific breakthroughs faster and more accessible. 

This new approach, powered by a specialised protein large language model (pLLM), predicts the most effective protein variants while using 99% less data than traditional methods. With a patent pending, this breakthrough is expected to drive innovation across industries such as healthcare, agriculture, and environmental science.

Capgemini’s methodology tackles one of the biggest challenges in biotechnology research—the data bottleneck—by enabling discoveries with smaller datasets. 

This means organisations can develop new bio-solutions even in resource-limited environments. By reducing research costs and time, this approach allows businesses to explore solutions that were previously too expensive or impractical.

Roshan Gya, CEO of Capgemini Invent, emphasised the impact of this development: “Our new methodology is faster, more cost-effective and opens the door to new opportunities for clients to develop innovative bio-based solutions.”

Plastic Waste and Medical Research

The approach enhanced a cutinase enzyme that breaks down PET plastic by 60%, making it easier and more cost-effective to degrade plastic waste. This could help reduce environmental pollution and lower waste management costs.

AI-driven predictions reduced the number of experiments needed to improve the Green Fluorescent Protein (a widely used research marker) from thousands to just 43 while increasing its brightness by seven times. 

This efficiency can speed up drug discovery, diagnostics, and bioengineering applications.

The breakthrough has drawn praise from experts in the field. 

Stephen Wallace, professor of chemical biotechnology at the University of Edinburgh, highlighted its significance: “Capgemini’s generative AI-driven approach represents a significant leap in protein engineering. By drastically reducing data requirements, Capgemini has fundamentally transformed the innovation timeline in bioengineering.” 

He further mentioned that this breakthrough reflects a clear vision for the future of engineering biology, leveraging the design and engineering of new biocatalysts to enable more sustainable and scalable industrial processes. 

With its expertise and adaptability, Capgemini is well-positioned to drive technological advances in this exciting and rapidly evolving interdisciplinary field.

This breakthrough was developed in Capgemini’s AI-driven biotechnology lab at Cambridge Consultants in the UK. For over ten years, Cambridge Consultants has been pioneering engineering biology and AI development. 

The lab brings together experts in biology, chemistry, AI, digital twins, electronics, and sustainability to push the boundaries of scientific discovery.

The post Capgemini’s AI Breakthrough to Accelerate Bioeconomy appeared first on Analytics India Magazine.

Lennox, a global leader in heating, ventilation, air conditioning, and refrigeration (HVACR) solutions, has announced a $6 million expansion of its Global Capability Centre (GCC) in Chennai. The expansion increases the facility’s size to 150,000 sq. ft. and will enable the workforce to grow from 900 to 1,500 employees.

The Chennai GCC, established in 2010, has evolved into a strategic hub for Lennox, supporting global operations in IT, engineering, finance, marketing communications, HR, legal, customer experience, and sourcing. 

The new facility features modern collaborative workspaces, expanded Controls & IT labs, a gym, play area, privacy pods, recharge rooms, mother care rooms, and training areas, all aimed at fostering innovation and employee well-being.

“Chennai remains a vital hub for our global operations. Over the past 15 years, Lennox has invested $14 million in India, reinforcing our commitment to innovation, job creation, and sustainable development. Chennai’s skilled workforce and dynamic business ecosystem align perfectly with our mission to drive technological advancements and deliver next-generation HVACR solutions,” said Prakash Bedapudi, executive vice president and CTO.

This expansion further strengthens Lennox’s global operations while leveraging Tamil Nadu’s business-friendly policies and skilled workforce. With Chennai’s thriving industrial ecosystem, the investment is expected to drive collaboration, sustainability, and cutting-edge HVACR advancements for Lennox’s global customer base.

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