Your data strategy is now your agentic AI strategy.
Trusted, real-time, and context-rich data is mission critical as you move beyond analytical AI toward autonomous, agentic AI solutions.
Enterprise technology is at an inflection point—and data strategy is reshaping the landscape.
AI agents and large language models are becoming essential to how work gets done. But without a trusted data foundation, they can produce inaccurate, incomplete, or biased answers, eroding confidence, slowing adoption, and limiting ROI. Explore the trends reshaping enterprise technology and the requirements leaders must meet to succeed in the age of intelligence.
Businesses are moving from app-first architecture to data-first architecture.
In a data-first world, applications are consumers and curators of a shared, governed data layer. It not mean to build a bigger data lake or centralize everything. Data first means establishing an enterprise context layer that sits above and across applications.
Take a look at our pragmatic point of view—written for CEOs and boards as much as for CIOs and CTOs—on why the shift is essential, what makes it feasible now, and how to sequence investments without boiling the ocean.
Speed and trust in data are no longer optional—they’re foundational.
The age of intelligence is being built on data strategies and digital infrastructure that unlock autonomous decision-making by humans and machines at unprecedented scale and speed. Discover how to architect your business for agentic AI, operational agility, and sustainable growth with the latest thinking from the industry’s leading experts—summarized in 10 rules.
Companies that adopt these rules can use them as a strategic playbook, where unified, trusted data enables both human insight and AI to operate seamlessly across entire business ecosystems. They won’t just optimize current performance—they’ll architect the intelligent systems that define their industries.
Business leaders need to co-own data readiness to move faster, act smarter, and win bigger.
Traditional “good enough” data can’t support the demands of agentic AI. Explore how real-time, trusted, context-rich data unlocks the full potential of AI agents—and why business outcomes, not just IT readiness, depend on current, clean data that’s also explainable and actionable.
How to bridge the data chasm for the agentic future.
If you don’t solve the data problem first, the agent problem becomes impossible. Watch the conference session by Ansh Kanwar, CPO of Reltio, discuss how enterprises can transform siloed systems and data debt into a scalable, unified foundation—enabling real-time, agent-powered AI across the organization.
What is context intelligence?
Context Intelligence is the layer that makes business context machine-interpretable and gives AI systems the foundation they need to reason accurately and act reliably. Let’s explore how it achieves that goal.
Context intelligence: The missing layer for agentic AI
How context intelligence unlocks the promise of agentic AI.
Inform your strategy with insights from industry experts and market research.
Leading analysts and market research firms are confirming what many enterprises already see—AI raises the bar for data. Discover the external insights and validation behind the shift toward more trusted, connected, and actionable data.
HBR: Unlocking the data advantage in the age of intelligence
See how your peers are approaching enterprise AI. Check out Harvard Business Review Analytic Services Pulse Survey report from a survey of 325 HBR audience members fielded in October 2025.
HBR: Navigating transformation in the era of agentic AI
Drawing on insights from subject matter expert interviews and more than 400 global respondents from the HBR audience, the report examines where enterprises are in their adoption journeys, the opportunities and risks they face, and what leaders must do now to unlock the full value of this transformative technology.
Fireside Chat with Noel Yuhanna, Forrester Research
Forrester Research Vice President Noel Yuhanna and Reltio Chief Product Officer Ansh Kanwar discuss the evolution of data management and the central role of trusted context in the age of intelligence.
Forrester Research Blog: Context, Not Models, Is The Real AI Bottleneck
Jayesh Chaurasia, Senior Analyst at Forrester Research, shares his observations from the DataDriven 2026 conference and describes the key takeaways in his blog post. He emphasizes the key point he heard across multiple sessions: “Enterprises that fail to operationalize contextual intelligence will struggle to translate AI experimentation into sustained business impact.”
How do we deliver context intelligence?
Explore practical insights, customer stories, and expert perspectives to help you get even greater value from your trusted, real‑time data foundation.
