Sanjay Sahay

From 2020 to 2025, the AI world experienced what Ilya Sutskever, former OpenAI chief scientist, calls the “age of scaling.” This era was marked by rapid advancements achieved primarily by increasing compute power, data, and model sizes in a predictable recipe known as scaling laws. The approach fueled major breakthroughs, including the rise of models […]

Claude Opus 4.5 plants Anthropic firmly in the top tier of frontier models, claiming the crown on coding, agents, and real-world computer use. Benchmarks suggest it edges out rivals like GPT‑5.1 and Gemini 3 Pro on complex and agentic software tasks. With cheaper tokens and availability across AWS Bedrock, Google Vertex, and Microsoft’s Foundry, it

Zimmer Biomet, a major medical device company valued at $25 billion, faced a disastrous SAP S/4HANA implementation. The project unfortunately ended in a $172 million lawsuit against Deloitte. A promised transformative project promising $100–200 million in annual savings became an operational havoc, $75 million in lost revenue, and a $2 billion hit to market value.

The November 2025 Gainsight–Salesforce incident is a classic supply chain attack, where criminals did not break Salesforce directly but slipped in through a third‑party app used by many enterprises. Stolen OAuth/authentication tokens from an earlier Salesloft–Drift campaign were reused like master keys to open connected Salesforce instances. What appears to be exposed in most cases

Google’s Nano Banana Pro, available in the Gemini app, lets users create precise visuals, infographics, storyboards, and lead magnets quickly and easily. By selecting Tools → Create images → Thinking with “Thinking with 3 Pro,” users provide detailed prompts—like “Create a detailed anatomy of a car with labeled parts” or “Design a manga-style storyboard”—to generate

This is a tectonic shift in how we create, iterate, edit and use images. Google DeepMind’s Nano Banana Pro, built on the latest Gemini 3 Pro platform, transforms how we create and edit images. Now anyone—from students to designers—can turn ideas into eye-catching visuals or infographics with greater realism and context than ever before. Enhanced

It is an all out war. The battle for AI supremacy and that of the world. The AI world is buzzing with excitement as Google unveils Gemini 3, a model heralded for advanced reasoning, creativity, and task performance beyond simple conversation. It’s viewed as a transformational upgrade, able to build interactive simulations and complex layouts,

Sundar Pichai had once said that Google may not have been the first movers in a large number of products but when they finally deliver they transform that technology. AI seems to be going the same way. Google has launched Gemini 3, its most advanced artificial intelligence model yet. This new AI is designed to

Satya Nadella’s articulation of a “positive-sum” AI future marks a paradigm shift in how technology leaders are redefining AI’s impact. Rather than focusing solely on company valuations or dominance, Nadella emphasizes that progress will be measured by how AI elevates economies and societies together. This utilitarian approach stresses shared growth and innovation, positioning Microsoft as

Claude AI streamlines chaotic business finance data, transforming scattered invoices, revenue statements, and expenses into clean, organized spreadsheets. Its ability to handle messy files without manual reformatting saves valuable time. Small businesses and solo entrepreneurs finally gain a clear financial snapshot without needing an accountant, removing complexity and friction in bookkeeping. Insightful dashboard creation is

What cannot be tested in a framework and made robust for use has no value. Moving AI agents from flashy demos to dependable real-world systems demand rigor. Fiddler AI’s field guide reframes this transition through better testing, observability, and human oversight. It highlights why reliability, not novelty, defines production success. The era of responsible AI