Search results for: Analytics
All filters
Resources type
Category
Job Role
Topic
Enterprises are investing heavily in AI, but investment alone does not create business outcomes. This article explores how business ownership, governed AI-ready data, a consistent innovation methodology and reusable business assets can help turn AI experimentation into growth, operational efficiency and reduced technical debt.
A practical guide for students and parents on the skills, mindset, and proof students need to become enterprise-ready AI practitioners in a data and AI-driven job market.
Business-led innovation is becoming essential as enterprises look for practical ways to turn AI ideas into real outcomes. Inspired by Scott Sandschafer’s MCWT fireside chat, this article explores why AI innovation leadership requires clarity, mentorship, governance, reusable assets, and a repeatable path from idea to production.
AI agents are moving quickly from executive conversation to enterprise experimentation. Gartner’s 2026 CIO and Technology Executive Survey found that only 17% of organizations had deployed AI agents at the time of the survey, while 64% expected to deploy them within the next 24 months. Gartner also notes that most enterprises are still using agents for incremental automation rather than…
A successful POC is only the beginning. This blog explains how to plan the last mile early, with practical guidance on modular architecture, MLOps, governance, scaling, and the tools and platforms that help move AI and data initiatives into production faster.
Most enterprises are investing in AI, but few are happy with business outcomes. This practical playbook shows how to scale impact with a governed AI sandbox, minimum viable data, semantics, and a repeatable methodology.
One platform, whether you’re in data or digital. Find out more about our end-to-end enterprise solution.
Webinars
Webinars