Ericsson ConsumerLab expects daily use of AI across text, voice, images and video in India to rise from 22 percent today to 43 percent by 2030. The global projection for…

Cyberattacks are costing Indian enterprises more and taking longer to recover from. Fortinet’s India Cybersecurity Skills Gap survey, which polled 60 IT and security decision-makers in December 2025, links part…

For years, the cloud sovereignty conversation has centred on one question: where is the data stored? A new Deloitte report, “Sovereign cloud for India: Building trusted digital infrastructure for the…

Everpure’s Global Data Sovereignty Report 2026, based on 2,100 enterprise organisations across eight markets, reveals a defining disconnect between strategic priority and operational readiness. “We talk about data sovereignty a…

Enterprise AI adoption has moved faster than the governance designed to contain it. That much is understood. What Delinea’s 2026 Identity Security Report makes uncomfortably concrete is how wide that…

Cloudera is pitching its Anywhere Cloud platform to Indian banks and regulators as a way to run AI across clouds and data centres without moving sensitive data. Many companies can…

Google Cloud made a clear pitch to India’s smaller businesses: AI is no longer only for big enterprises. At Cloud Day India 2026, held at Andaz Delhi on October 28,…

Microsoft has introduced a sweeping Voluntary Exit Offer (VEO) to approximately 60,000 employees, representing roughly 27% of its 223,000-strong global workforce, as the tech giant recalibrates operations amid massive capital…

Harness has acquired select assets from Augment Code to expand automation across the software development life cycle (SDLC). The acquisition includes Cosmos, the Auggie CLI products, the Code Context Engine,…

Airtel Business has launched Airtel IQ Gateway, a platform aimed at helping enterprises manage customer communications across SMS, WhatsApp, Rich Communication Services (RCS), business voice, and number verification from one…

Cognizant today announced the formation of the Claude Frontier Capability Group, more than 25,000 professionals committed to delivering Claude for clients. The group is focused on execution excellence, transformation and…

Databricks, the Data and AI company, today announced the second generation of Genie that changes how people get work done: Genie is now an always-on, autonomous agent for enterprise work.…

QualiZeal, a global leader in Trust-first, AI-powered Quality Engineering and digital transformation, and HFS Research, a leading global research and advisory firm, have recently launched “HFS Take 5 x QualiZeal,” a joint research study examining whether enterprises are equipped to validate AI systems in production and how Quality Engineering (QE) must evolve for the AI era. The study surveyed 101 enterprise quality and technology leaders in the US. The study reveals a widening gap between the pace of enterprise AI adoption and the mechanisms needed to assure it. While 57% of enterprises run generative AI in some form of production and 36% have agentic systems live, formal AI validation frameworks remain largely in pilot stages. Only 15% have a purpose-built approach to AI testing, while 52% are testing probabilistic AI systems using frameworks designed for deterministic software. As AI becomes more autonomous and business-critical, the study points to a shift from traditional QE towards trust engineering. Commenting on the collaboration, Kalyan Konda, Co-Founder, Executive Director & CEO, QualiZeal, said, “Enterprises have moved AI into production much faster than they have developed the discipline to govern it. Through our work with HFS Research, we wanted to put hard numbers behind this gap and understand how organizations are addressing it. The larger issue is that ownership of AI quality is no longer just a testing question; it has become a boardroom question. The study shows that 37% of enterprises are running AI in production without a named function accountable for its quality. That is a significant gap, and it reinforces why organizations need clear accountability and fit-for-purpose validation as they scale their AI initiatives.” The study also shows that accuracy is proven, but trust is not. While 88% of enterprises measure model accuracy, far fewer measure bias and fairness (47%), explainability (37%), or can provide regulatory compliance evidence (35%). Speaking about the findings, Madhu Murty, Co-Founder & Head of India Operations, QualiZeal, said, “Quality Engineering is going through a fundamental shift. Earlier, the focus was largely on assuring software. Now, with AI becoming integral to enterprise systems, we are being asked to assure intelligence itself. And quality engineers have a very important role to play in this transition. The study shows that 82% of enterprises expect the QE role to grow significantly. That is why we are investing in AI-skilled quality engineers and building roles that are relevant to this new environment. We don’t see AI and automation replacing quality engineers. We see them elevating the role of quality engineers into that of trust engineers.” That expanding mandate is not yet matched by investment. The study finds that QE has received the mandate without the budget, with only 24% of enterprises reporting proportional resources for the expanded role. QualiZeal’s AI ecosystem, including QMentisAI™ and ValidAIte™, is built to help enterprises close this gap by embedding AI-led quality and AI assurance into their delivery and governance pipelines. “Most enterprises can prove their AI is accurate. Far fewer can prove it is fair, explainable, or compliant, and that is the test regulators, auditors, and customers will apply. Accuracy gets AI into production, but trust is what lets it scale. Closing that gap doesn’t require another tool. It requires a named owner for AI quality, testing AI as the probabilistic system it is rather than as conventional software, and giving QE a budget that matches its expanded mandate,” said Hansa Iyengar, Practice Leader, HFS Research. The HFS Take 5 x QualiZeal study offers enterprise leaders an evidence-based view of where AI assurance stands today and what it will take to move from AI pilots to trusted, production-grade AI.

Vertiv a global leader in critical digital infrastructure, announced a global ecosystem offering that brings together an expanded collaboration with Dow, a materials science company and provider of advanced coolant…

OutSystems, the Agentic Systems Platform helping regulated enterprises safely modernize legacy tech and run agentic systems, today announced the expansion of its Agentic Industry Solutions portfolio into insurance with Agentic…

Procol, an AI-native procurement and finance platform managing over $30 billion in enterprise spend, will launch Clara 2.0 for Indian enterprises at Gartner IT Symposium/Xpo 2026, taking place November 16–18…

New Relic, the intelligent observability platform, today announced the launch of New Relic Autopilot Kubernetes Agent. Designed for operations teams including site reliability engineers (SREs) and platform engineers, the new…

Commvault (NASDAQ: CVLT), delivering continuous recovery for the AI era, today announced Commvault Recovery Studio, a new approach to enterprise recovery that will use precise automation to bring back the…

SAS’s Jared Peterson says enterprise AI’s real challenge is production: integration, human oversight, quality data and open architecture, with Pune owning core Viya R&D. Two years ago, enterprise AI meant…

Jain initially began working directly with students through More Than Play, tutoring 150 children in science and mathematics. For Aarav A. Jain, STEM education is not simply about learning how…

Enterprises have no shortage of AI pilots; what they lack, argues Niraj Nagrani, Chief Data and AI Officer at Altimetrik, is an operating system to run them on. In this…

Oracle has launched a builder experience that lets enterprises run AI agent teams directly inside Fusion Cloud Applications, without a separate runtime or external orchestration layer. The company calls the…

For years, COMPUTEX Taipei was an exhibition where tech enthusiasts came to see flashy gaming rigs, watch overclocking contests, and explore the latest laptops and PC hardware. It was, above…