How to bring predictive analytics into the age of agentic AI
Bringing predictive analytics to the agentic AI era
What happened
The focus of enterprise AI competition has shifted from whether predictive models can outperform statistical forecasts to how prediction systems can make autonomous decisions without straying from business intent. Deep learning and generative AI enable real-time training, allowing AI to keep evolving rather than wait for quarterly refreshes, and expand its data sources from structured numerical records to unstructured interaction data. Vishal Gupta, a partner at Everest Group, says the word 'analytics' is giving way to AI.
Keep reading
Latest daily · Issue 24NVIDIA and AI4Bharat Introduce Nemotron-pretraining-Indic-v1 and an Open Data Generation PipelineTrending now
- 1Meta Releases Muse Spark Open With Mac and Cloud Support, Topping US Open-Weight Index
- 2Google Launches Gemini 4 Argon Globally, Expands Paid Access as Benchmark Results Vary
- 3OpenAI Updates GPT-6 Astra Pro in ChatGPT With Parallel Agents and Faster Responses
- 4Meta’s New Business Terms Raise Dispute Over Website Crawling and AI Training Rights
Tomorrow at 08:00, a briefing like this arrives in your inbox.
The same kind of briefing as the one above: a few stories worth reading. Free. Mail starts after you confirm, and every letter has a one-click unsubscribe. Read a past issue · 2026-10-17