智能时代释放数据优势

Over the past year, I’ve had hundredsof conversations with top data andtechnology executives who are navi-gating the rapid shift toward autono-mous agents and the broader Age ofIntelligence. While every organization governance, literacy, and interopera-bility remain among the most signifi- What gives me optimism is that lead-ership recognizes the path forward.It understands that agentic AI isn’t atechnology project; it’s an organiza-tional evolution. It starts with a clearstrategy tied to business outcomes. It Manish SoodCEO and Founder This research from Harvard BusinessReview Analytic Services underscoresthat tension. Nearly all respondentssay their organizations are exploringor implementing AI, yet only a smallfraction consider their data founda-tion ready for what agentic systemsdemand. It’s a telling sign. Companies The opportunity ahead is significant,and the readiness decisions leadersmake today will shape their competi- At Reltio, we believe this context isthe decisive ingredient. Unified, real-time, trustworthy data is the contextthat powers the shift to agentic AI,giving enterprises a reliable, connectedunderstanding of every key entity andrelationship. For more than a decade,we’ve helped organizations move Agentic AI brings a step change inhow work gets done. These systemsdon’t just analyze data; they also takeaction, coordinate tasks, and adapt inreal time. That autonomy depends onsomething enterprises have struggledto scale: the unified, real-time, trust-worthy data that provides the context My hope is that this report providesleadership with clarity and confidenceduring a period of rapid change. Theorganizations that align strategy, data, Unlocking the Data Advantagein the Age of Intelligence As cloud adoption and digital transformation reshaped thepast decade, the Age of Intelligence is now ushering in thenext frontier—autonomous agents and agentic artificialintelligence (AI), systems that act autonomously and makedecisions to achieve specific goals with minimal humansupervision. Organizations are on the cusp of one of the most 46% of respondents saydata silosis one of their organization’sbiggest challengesin makingenterprise data usable for artificial 16% say their organization’s management of data investmentsis very organized and alignedtothe business strategy; 34% say it’svery ad hoc and fragmented across UNLIKE TRADITIONAL AI, whichanalyzes information and recom-mends next steps, agentic systems takethose steps on their own. Agentic AIcan resolve customer issues, managesupply chain disruptions, and reallo- information into intelligence and intelli- Many organizations are using AItoday, though few are technically andstrategically aligned to do so, an October2025 Harvard Business Review Ana-lytic Services survey of 325 respondentsfinds. While 94% of those surveyed—allof whom work at organizations thathave at least considered AI and are 15% say their organization’s datafoundation is very readyforAI adoption. At the heart of this transformationis data. No longer just a byproduct ofoperations, data has become the strate-gic asset that fuels intelligent auto- This readiness disconnect suggeststhat many businesses are prioritizing Due to rounding, some figures in this reportmay not add up to 100%. experimentation over preparation—advancing AI initiativesbefore ensuring that their strategy is clear and their data is third-party platforms. For many businesses, this sheer vol-ume and variety of information have outpaced their ability to “I think most companies do understand the potential ofagentic AI, but AI doesn’t just rain from the sky,” says RossSchalmo, chief data officer at electrical and industrial man-ufacturing company Eaton, headquartered in Dublin. “You As a result, companies are facing persistent challengesin making their enterprise data usable for AI. These barriersinclude data silos (46%), insufficient data talent/expertise(42%), insufficient/unclear data strategy (39%), data security/ That plumbing challenge—achieving alignment acrossstrategy, data, and operations to support AI—is where organi-zations are faltering. Though senior leadership understandswhat matters in successful AI implementations, structural, For many companies, data silos have been created byyears of disconnected technology investments, says ChuckReynolds, managing director and partner at Boston-basedmanagement consulting firm L.E.K. Consulting. “Manyorganizations haven’t taken a thoughtful approach to the This report will explore what these readiness gaps revealabout the state of enterprise data maturity in the Age ofIntelligence, how businesses need to shift their organiza-tional strategy to support agentic AI, the keys to successful Having the right data talent and expertise is also impact-ing execution. As organizations begin to modernize theirdata environments, many are realizing that technology aloneisn’t enough to unlock the full value of AI—having the rightexpertise is just as