Tags: digital transformation

Microsoft’s latest Work Trend Index reveals a paradox in corporate AI rollout: while 65% of employees worry about falling behind if they don’t adopt AI, only 26% say their leaders consistently model its use. The study, based on global survey data and more than 100,000 de‑identified Copilot chats, shows many workers feel unsupported, with 45% preferring to stick to familiar goals and just 13% feeling rewarded for AI innovation. The findings point to a cultural gap that could slow the promised boost in productivity from generative AI tools. Ler mais

OpenAI announced a partnership with Indian IT giant Infosys to integrate its artificial‑intelligence suite, including the Codex coding assistant, into Infosys' Topaz AI platform. The collaboration aims to help Infosys' global clients modernize software development, automate workflows and scale AI deployments, starting with software engineering, legacy modernization and DevOps. The move comes as IT services firms grapple with slowing client spending and rapid advances in generative AI, and offers OpenAI a distribution channel to reach large enterprises across more than 60 countries. Ler mais

Enterprises that proved AI can work are now focusing on responsible, economical, and repeatable deployment. Leaders are asking about cost, governance, and real‑world impact as AI moves beyond customer service into core operations. Four trends dominate: responsible AI and trust‑building, industry‑tuned models, AI factories that standardize deployment, and AI‑led legacy modernization. Organizations that adopt these approaches will turn AI experiments into durable competitive advantage. Ler mais

Reliance Industries chairperson Mukesh Ambani unveiled a ₹10 trillion (about $110 billion) plan to build AI computing infrastructure across India over the next seven years. The initiative includes gigawatt‑scale data centers, a nationwide edge‑computing network, and AI services integrated with the Jio telecom platform. Powered by surplus green energy, the project aims to lower the cost of AI compute, partner with Indian enterprises and academia, and embed AI across sectors such as manufacturing, logistics, agriculture, healthcare, and finance. Ler mais

Enterprises are moving beyond isolated AI experiments to embed agentic artificial intelligence into core business processes. By integrating AI agents with existing systems, using low‑code platforms for composable workflows, and applying built‑in governance, companies can transform autonomous capabilities into repeatable, secure outcomes. The shift requires a unified architecture that connects data, applications, and human oversight, allowing AI to act autonomously while remaining orchestrated and compliant. Ler mais

The U.S. Department of Transportation (DOT) is employing Google’s Gemini artificial intelligence system to write safety rules for automated vehicles and other transportation initiatives. Officials expect Gemini to handle the majority of drafting work, shifting human staff to oversight roles. Google has promoted the partnership as a model for federal digital transformation, offering a year of Gemini access at a reduced cost. Critics raise concerns about the reliance on AI for rulemaking and the potential for widespread adoption across government agencies. Ler mais

AI‑first browsers embed generative tools such as summarization, rewriting and real‑time suggestions directly into the web‑page experience. While they boost productivity, they also blur the line between approved enterprise software and shadow AI, making it harder for organizations to see when employees invoke AI and what data is processed. This hidden usage creates version drift, skips formal review steps, and shifts interpretation away from source documents, leading to gaps in audit trails, retention, compliance and operational consistency. Experts recommend new controls to keep AI‑generated content traceable and governed within existing workflows. Ler mais

Microsoft chief executive Satya Nadella has begun publishing a personal blog on the platform “sn scratchpad.” In his first entry, Nadella urges the industry to move beyond debates about “AI slop versus sophistication” and to focus on building AI agents that act as cognitive amplifiers for users. He highlights Microsoft’s vision of voice‑driven Copilot tools, acknowledges current gaps between promise and performance, and calls for a shift from isolated models to integrated systems that consider societal impact. Nadella frames 2026 as a pivotal year for artificial intelligence and promises more regular commentary on technology’s real‑world effects. Ler mais

Emergn research reveals a split view on AI training responsibility. While 81% of employees expect employers to provide upskilling, 83% of CEOs believe workers should train themselves. The gap extends to senior leaders, with 64% of COOs and 59% of CTOs sharing the CEO stance. The lack of adequate training could deter two‑thirds of job seekers and risk delays in digital transformation, higher churn, and reduced productivity and wellbeing. Companies face a critical challenge in balancing expectations to stay competitive in the AI‑driven talent war. Ler mais

European organizations are turning to generative AI to illuminate decades‑old mainframe systems that still power banks, governments and large enterprises. By combining static analysis tools with AI‑driven code summarization, teams gain the visibility needed to document, assess risk and comply with strict regulations such as GDPR and the AI Act. The approach enables gradual modernization—wrapping APIs, automating workflows and updating code—without dismantling stable infrastructure, offering a clearer path toward digital transformation while preserving the reliability of legacy platforms. Ler mais