New yr, new conversations about AI. As 2026 begins, AI has moved from experimentation to execution, and expectations are rising simply as quick. Boards are investing, and clients are pushing for actual outcomes. The query is now not if organizations will put money into AI, however how they’ll flip that funding into sturdy, long-term worth.
Over the previous yr, I’ve had numerous discussions with our Exactly management staff about what they’re seeing throughout industries, areas, and buyer environments. Whereas their views come from totally different disciplines, a transparent set of themes retains rising.
Beneath are a number of insights from myself and our management staff that mirror the place AI is headed, and what organizations like yours might want to prioritize as ambition provides method to execution.
AI Infrastructure is Accelerating – However Information is The place AI Worth Compounds
The tempo of AI funding has been extraordinary. Firms are pouring billions into AI infrastructure to satisfy the capability calls for of the AI second. But it surely’s clear that the subsequent chapter of AI received’t be outlined by sooner fashions or greater investments – it will likely be outlined by information readiness. Accuracy, consistency, and context will decide whether or not AI delivers actual outcomes, and governance will decide whether or not organizations can belief what AI produces at scale.
Nevertheless, with the doorway of agentic AI, this problem is exponentially compounded. It’s now not about decision-making, alone. Agentic AI plans, causes, and acts based mostly on the information it’s given. From my perspective, that shift raises the bar considerably. With out a technique for Agentic-Prepared Information, organizations danger amplifying incorrect data, information bias, and poor outcomes pushed by inconsistent or poorly ruled information. And right now, many enterprises merely aren’t prepared.
As additional proof of this shift, in 2025 we started to see a number of high-profile acquisitions of information firms signaling a rising focus past infrastructure alone. In 2026, count on to see that consolidation speed up.
Contextual Information Will Outline How Intelligently AI Operates at Scale
As AI techniques develop extra succesful, the problem is now not simply processing data – it’s understanding the world by which that data exists. Information with out context limits how successfully AI can cause, interpret, and act.
Throughout our management staff, there’s sturdy alignment across the function of contextual information in shaping AI’s subsequent chapter. Context doesn’t simply enhance outputs; it helps AI techniques make choices which might be extra correct, explainable, and related to real-world situations.
Right here’s what a few of our Exactly leaders must say.
Tendü Yoğurtçu, PhD
Chief Know-how Officer
“As we transfer into 2026, geospatial information will play an more and more essential function in AI coaching, shaping how techniques understand, interpret, and work together with the world round them. The present actuality is that giant language fashions are skilled on publicly obtainable information, data that’s finite in quantity and infrequently restricted in accuracy and illustration. This rising “information drought” dangers slowing innovation but additionally presents a strategic alternative to unlock worth by way of proprietary and curated information.
Geospatial intelligence, together with satellite tv for pc imagery, GPS coordinates, and different location-based insights, introduces a brand new dimension of context. It helps fill data gaps the place information is incomplete, providing a extra goal, full, and verifiable view of real-world situations. When mixed with a corporation’s personal proprietary information, equivalent to buyer data, transaction patterns, or operational indicators, geospatial information creates a robust basis for differentiated insights and lasting aggressive benefit.”
Andy Bell
Senior Vice President, World Information Product Administration
“In 2026 we may see fast progress within the agentic AI workforce with adoption anticipated to develop 327% by 2027. Nevertheless, reaching the complete advantages and efficiencies of those AI staff may very well be hampered by an absence of information readiness.
Presently, solely 12% of organizations report that their information is of enough high quality and accessibility for AI. This can solely be heightened by agentic AI techniques which function independently by planning, reasoning, and taking actions in direction of objectives with minimal human intervention.
As these techniques depend on advanced processes, agentic-ready information is vital to making sure correct outputs. Reaching true information integrity requires contextual information together with information integration, information governance, and information enrichment.
Contextual information gives an expanded perspective on information, offering insights into locations, folks, and behaviors. With out understanding the context behind your information, it will likely be troublesome to find out a nuanced and wealthy understanding of how agentic AI techniques are reaching their outputs. It’s essential to have an understanding of this to make sure that agentic AI techniques are making totally knowledgeable, assured choices on behalf of your corporation.”
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Information Integrity Turns into the Working System for AI Governance and Belief
As AI techniques develop into extra autonomous and extra embedded in essential enterprise choices, the query of belief strikes entrance and heart. In 2026, governance received’t be one thing organizations layer on after deployment – it will likely be constructed into how information is structured, interpreted, and monitored from the beginning.
Information integrity will function the working system for accountable AI. From semantic readability and explainability to compliance, auditability, and management over AI-generated information, integrity will decide whether or not AI can scale safely and ship lasting worth.
As you consider learn how to govern AI responsibly within the yr forward, right here’s what our management staff believes will matter most.
Dave Shuman
Chief Information Officer
“In 2026, semantics might be crucial AI governance guardrail. Coaching AI is akin to managing well-intentioned interns. AI fashions could also be sensible and succesful, however like several agent – human or in any other case – they nonetheless require clear path, oversight, and constant analysis.
Including a semantic layer transforms advanced information right into a business-friendly format that’s extra digestible, serving to AI interpret and translate information into dependable output.
As AI conversations shift from implementation to purposeful motion in 2026, leaders will prioritize the folks and assets wanted to construct the semantic layer, as a way to be sure that the enter information straight aligns with the specified, measurable outputs.”
Jean-Paul Otte
Information Technique Lead
“2026 is the yr when AI readiness frameworks might be reframed round information integrity-first ideas. Organizations will transfer away from remoted AI pilots and in direction of repeatable, data-driven frameworks that guarantee AI is deployed responsibly and at scale.
Information maturity assessments and AI governance applications will more and more revolve round verifying the supply, high quality, and trustworthiness of information property earlier than any AI mannequin is developed or deployed. AI readiness would require a decentralized working mannequin regarding information and metadata accountability.
The organizations that reach 2026 might be those who embed integrity into each layer of their working mannequin, from function definitions and management frameworks to coaching and steady monitoring. In doing so, they won’t solely meet regulatory expectations however unlock AI that’s dependable, explainable, and able to delivering long-term worth.“
Turning AI’s Potential into Outcomes – With Trusted Information
What strikes me most about these views isn’t how totally different they’re — it’s how carefully they align. Throughout roles, areas, and tasks, the message is constant: the way forward for AI might be constructed on trusted information, grounded in context, and ruled with intention.
As we transfer into 2026, the organizations that succeed received’t simply be those that undertake AI quickest. They’ll be those that make investments thoughtfully within the information foundations that make AI – notably agentic AI – dependable, explainable, and resilient over time.
That’s the place the subsequent chapter of AI worth might be written – and it’s a problem I consider many organizations are prepared to satisfy.
How will you strengthen your information basis for AI in 2026? For help in constructing a sensible, tailor-made roadmap in your group, I encourage you to succeed in out to our Information Technique Consulting staff. They’ll present the skilled steerage you could responsibly scale and succeed together with your AI initiatives this yr and past.
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