Год: 2025

OpenAI has begun rolling out GPT-5.1, an upgrade to the GPT-5 model family that introduces new reasoning features, faster performance on simple tasks, and expanded personalisation tools across ChatGPT.

The update is being released gradually to paid users before reaching free and logged-out users in the coming days.

The release includes two models — GPT-5.1 Instant, which serves as the default chat model, and GPT-5.1 Thinking, which is the company’s advanced reasoning system. Both models now adjust their “thinking time” depending on task complexity.

According to OpenAI, GPT-5.1 Instant is warmer and more conversational, while GPT-5.1 Thinking provides clearer explanations and more persistent reasoning on difficult prompts.

OpenAI said users had made it clear that “great AI should not only be smart, but also enjoyable to talk to,” adding that GPT-5.1 responds more reliably to instructions and maintains tone more consistently across prompts.

The company also introduced expanded tone-setting tools, allowing users to adjust ChatGPT’s style in real time.

Updated preset styles—Default, Professional, Friendly, Candid, Quirky, Efficient, Nerdy, and Cynical—now apply across all chats immediately.

Users can additionally fine-tune traits such as warmth, conciseness, and emoji usage. OpenAI said ChatGPT may “proactively offer to update” tone settings based on user behaviour.

GPT-5.1’s improvements include adaptive reasoning, which lets the model decide when to generate longer internal reasoning traces for complex tasks. OpenAI reported that GPT-5.1 Thinking is roughly twice as fast on the simplest tasks and twice as slow on the most complex ones compared with its predecessor.

The new models will also be available in the API later this week. GPT-5.1 Instant will appear as gpt-5.1-chat-latest, while GPT-5.1 Thinking will be released under the GPT-5.1 endpoint with adaptive reasoning enabled. GPT-5 will remain under the legacy models tab for three months “to give people time to compare and adapt,” the company said.

OpenAI described GPT-5.1 as “a step forward in both capability and usability” and said future upgrades to GPT-5 will follow the same naming pattern.

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Google is introducing “Private AI Compute,” a new cloud-based platform that allows users to access advanced AI features on their devices while maintaining data privacy.

This feature, which closely resembles Apple’s Private Cloud Compute, emerges as companies strive to strike a balance between users’ privacy demands and the growing computational requirements of modern AI applications.

As stated by the company, Google developed Private AI Compute to harness the complete speed and power of Gemini cloud models for AI experiences. The new feature offers quicker, more useful responses, simplifying the process of finding what you need, receiving intelligent suggestions, and taking action.

Private AI Compute allows on-device capabilities to operate with enhanced features while upholding privacy assurances. With this technology, Magic Cue is becoming even more beneficial, offering timely suggestions on the latest Pixel 10 devices.

Additionally, with the assistance of the platform, the Recorder app on Pixel can now summarise transcriptions across a broader array of languages.

Many Google products utilise AI features, such as translation and chatbots, directly on devices, keeping user data local. However, Google acknowledges that this method is unsustainable, as more advanced AI tools need greater computational power than devices can offer.

Private AI Compute is a secure, multi-layered system designed with core principles of privacy. It operates on a seamless Google tech stack powered by custom Tensor Processing Units (TPUs) and integrates world-class privacy through Titanium Intelligence Enclaves (TIE). Remote attestation and encryption ensure your device connects to a hardware-secured cloud environment, allowing Gemini models to process your data in a protected space.

“This ensures sensitive data processed by Private AI Compute remains accessible only to you and no one else, not even Google,” it said in the blog.

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Cloudera has announced a collaboration with Intel to accelerate enterprise-grade AI adoption across industries in the Asia-Pacific (APAC) region. The partnership integrates Intel Xeon 6 Processors with Cloudera’s AI stack, enabling businesses to deploy and manage AI workloads seamlessly across hybrid and on-premise environments.

According to the release, this collaboration aims to make enterprise AI more scalable, secure, and efficient. The integration is expected to help enterprises shift from experimental AI projects to full-scale production, ensuring performance and governance without compromising flexibility.

“Enterprises are no longer experimenting with AI. They’re executing at scale, and that demands a platform built for real-world complexity,” said Remus Lim, SVP of Asia Pacific and Japan at Cloudera. He added that Cloudera’s AI platform “brings intelligence to data” with the support of Intel’s technology to deliver tangible business outcomes.

Santhosh Viswanathan, VP and MD of Intel India, said that AI’s success depends on efficient and responsible deployment. “As enterprises begin to accelerate their AI deployments, the Cloudera stack, powered by Intel’s enterprise-ready AI platforms, will help customers unlock value from their data faster, more securely, and at scale,” he said.

A joint whitepaper from Cloudera and Intel outlines key focus areas shaping enterprise AI’s future.

These include agentic AI and human-in-the-loop systems, conversational AI using automatic speech recognition and named entity recognition on-premises, and the Model Context Protocol, which connects data marts with large language models for secure data access.

The companies also highlight the growing role of small language models that offer compact yet powerful AI capabilities for enterprises. Through this partnership, Cloudera and Intel aim to empower organisations to operationalise AI at scale, balancing innovation with governance and cost efficiency.

The post Cloudera, Intel to Bring AI to Core Enterprise Operations appeared first on Analytics India Magazine.

Collaborative design platform Figma has opened its first office in India, located in Bengaluru. The company also said that it has begun hiring.

Alongside the launch, Figma unveiled new AI design tools and released research showing strong adoption of AI in design among Indian companies.

“Today India is our second-largest active user market. As it evolves into a global software and manufacturing hub, the value of design will only grow,” Scott Pugh, APAC vice president of sales at Figma, said. “We’ve seen increasing demand from Indian companies, and with the office opening, we want to get closer to our users and the community here.”

All Figma products are now available in India, including Figma Design, Figma Make, Dev Mode, Figma Sites, FigJam, Figma Slides, Figma Draw, and Figma Buzz.

Figma said over 85% of its users are based outside the United States, and about half its revenue in 2024 came from international markets. The Bengaluru office joins a global network that includes New York, Tokyo, Singapore, London, Paris, Berlin, Sydney, and São Paulo.

Figma recently acquired Weavy, a generative AI platform, and introduced new design systems integration in Figma Make, which it said will help teams scale design capabilities across products and brands.

According to Figma, 93% of designers in India say their companies already use AI in design, while 85% believe AI simplifies code writing. The study also found that 81% of developers consider design increasingly important to the success of AI-powered products. The survey was conducted by YouGov among 730 professionals in design, engineering, and product leadership roles.

Figma said it now serves users in 85% of India’s 28 official states, and counts leading organisations such as Airtel, CARS24, Groww, Juspay, Myntra, Swiggy, TCS, and Zomato among its customers. Over 40% of BSE100 companies use Figma products.

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Firstsource has made a strategic investment in AppliedAI, an AI workflow automation platform built to transform how complex, regulated enterprise processes are automated end-to-end.

The investment, the company said, reinforces its UnBPO strategy, moving beyond traditional outsourcing to build technology first, compliant, and outcome-driven operations.

In many industries, complex processes still depend on multiple teams manually reviewing information, verifying documents, and coordinating approvals, a rule-driven, repetitive workflow often prone to errors or delays.

While RPA and workflow tools have automated parts of these processes, the overall system remains fragmented.

The company said AppliedAI reimagines this end-to-end, using its Large Work Model to learn enterprise workflows, identify friction points, and re-engineer them for higher efficiency and business impact, through data-driven intelligence.

Routine, low-risk tasks can be handled automatically, while only exceptions are escalated for human review, delivering faster, more accurate, and more resilient operations.

By integrating AppliedAI’s agentic automation and human-in-the-loop capabilities into core operations, Firstsource said it will help clients automate mission-critical, compliance-heavy workflows with full transparency and auditability, improve accuracy, speed, and resilience through secure AI orchestration and enterprise -grade controls.

It said the initiative would also unlock measurable business outcomes across industries such as healthcare, financial services, insurance, and government.

Sanjiv Goenka, chairman, RPSG Group and Firstsource, said, “As we move beyond the limits of traditional outsourcing, our investment in Applied AI is a decisive step towards reimagining enterprise operations from the ground up.”

He said that UnBPO is not just about integrating automation, it’s about fundamentally transforming how work gets done, using AI to rearchitect workflows for speed, compliance, and lasting business advantage.

The company said that AppliedAI’s Opus platform and Large Work Model fit powerfully into this vision, enabling us to create intelligent, secure automation for the most complex, regulated sectors.

“Together, we are defining the future of work: where human expertise and agentic AI collaborate seamlessly to deliver smarter outcomes, greater value, and resilience for our clients,” Goenka said.

Arya Bolurfrushan, founder & CEO, AppliedAI, said, “This partnership turbocharges Firstsource’s UnBPO vision, combining their deep operational expertise with our supervised automation and outcome-based pricing model.”

Firstsource said that by embedding AppliedAI’s capabilities into the Firstsource ecosystem, clients gain access to a richer network of deep domain experts and scalable AI solutions, empowering them to transition confidently to intelligent automation.

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