What we're watching.
Regular briefings on what's moving in data, analytics, and enterprise technology — filtered for signal, not noise.
Weekly Data Briefing
A curated weekly digest of the most important developments in data strategy, analytics, AI, and enterprise technology — sourced from eMarketer, Forrester, Gartner, McKinsey, and other leading research organisations.
Enterprise AI Shifts From Task Automation To Contextual Execution
As AI models reach commodity status, data leaders are pivoting from simple automation toward agentic systems that prioritize contextual data integration and operational execution.
The Strategic Shift to Contextual AI
Forbes reports that the competitive advantage for enterprises is moving away from raw model performance toward context. By connecting intelligence to specific execution and adaptation workflows, firms are better positioned to derive value from commoditized AI models.
Addressing the Enterprise Data Activation Gap
The Modern Data Report 2026 highlights that despite heavy investment in platforms, organizations struggle with a 'data activation gap.' The research indicates that the primary barrier to scaling AI is not algorithmic, but a lack of discoverable, contextual, and trustworthy data.
McKinsey Reports 78% AI Production Adoption
McKinsey’s State of AI 2026 report reveals that 78% of Global 2000 companies now run AI workloads in production. This growth is accompanied by a shift toward agent-first procurement and a resurgence in on-premises generative AI deployments.
October 2026 AI Development Outlook
The industry is bracing for a busy month with potential releases including Google's Gemini 4 and new agentic platforms from OpenAI. Data leaders should monitor these releases for their impact on enterprise-grade model capabilities and regulatory compliance.
Watch for upcoming announcements regarding agentic AI platforms and their potential to redefine standard enterprise software workflows.
The Numbers We're Looking At
ThinkDataGrowth's monthly view — the research we carried out, the datasets we interrogated, and the numbers that made us stop and think. Original analysis, not a roundup of other people's press releases.
- Original research and first-party analysis
- The datasets and benchmarks we examined this month
- What the numbers actually say — and what they don't