Enterprise AI Strategy

Abstract illustration depicting interconnected nodes and data streams, symbolizing enterprise AI adoption and scalability challenges

AI Adoption Is Widespread, but Scaling It Is Not

Enterprise AI use is growing faster than the operating models needed to turn it into measurable value. Scaling requires workflow redesign, shared ownership, selective use-case investment, and outcome-based measurement.

Analytics and AI

When Enterprises Should Build, Buy, or Partner for AI

AI is lowering the cost of building custom software while vendors embed AI into packaged applications. Enterprises now need to decide workload by workload whether to build, buy, or partner, based on lifetime cost, data control, and risk.

Automation

NTT DATA Bets Cursor Can Speed the Messy Work of Legacy Modernization

NTT DATA’s partnership with Cursor brings AI coding agents directly into its global software engineering model, aiming to speed legacy modernization while strengthening governance and aligning modernization with enterprise‑wide AI strategy.

Human Capital Management

Singapore’s AI Hiring Surge Shows How Vendors Are Building for APAC Enterprise Demand

As of mid-June 2026, thirty of the world's leading AI firms, including OpenAI with 37 open positions, are ramping up hiring in Singapore, driven by government support and a focus on commercial deployment in Asia-Pacific, amidst a talent gap that sees only 1.4 qualified candidates per 10 open roles in Southeast Asia.

Stanford University campus buildings under blue sky representing Stanford AI Index 2026 research on enterprise AI readiness.

Analytics and AI

AI Is Expanding, but ERP Systems May Not Be Ready—Stanford AI Index 2026

AI adoption is expanding across enterprises, but ERP systems may not be ready. The Stanford AI Index 2026 highlights gaps in governance, trust, infrastructure, and talent that affect how AI supports business decisions.

Bharat Mandapam New Delhi lit at night during India AI Impact Summit highlighting AI infrastructure and enterprise platform strategy discussions.

Analytics and AI

At the India AI Impact Summit, SAP Makes the Case for Platform-Centric AI

As infrastructure pledges dominated the India AI Impact Summit, SAP focused on platform-centric AI, positioning Business AI inside enterprise systems rather than competing in the compute investment cycle.