Field notes from the rooms where enterprise AI gets decidedNext room: Singapore & New York · 13 Nov 2026
CIO Vision

Leadership priorities

Analytics & decisions: what enterprise AI leaders are working on

38%

of 734 themed leaders · 278 leaders

AI strategy
59%
Digital transformation
53%
Operational efficiency
48%
Analytics & decisions
38%
Talent & culture
37%
Growth & partnerships
31%
Data platforms
28%
Data governance
26%
Customer experience
21%
Share of 734 themed leaders, by theme

Source: 734 CIO Vision leader profiles with at least one priority theme, from 742 leaders in the series. Leaders can be counted in more than one theme.

Leaders turning data into better and faster business decisions. The work covers analytics, business intelligence, forecasting and putting trusted insight in front of decision-makers.

Leaders working on Analytics & decisions

All 278 leaders
Alaa MoussawiCyrus PangDeepti SinghEric TalbotGopichand MannavaIpshita ChakrabortyKelvin LeManish KumarNaveen BolisettiParijat BanerjeeRam ThilakRohan ChopraSujjath AhmedViking WongWee Ming KohXin JinAngelo ClaytonTahira ShaheenAaron JonesAbhishek SharmaBjörn LundbergJoseph IpNathan PetraliaRomain BarraudVincent KwanWei LinAnand SinghalAvidypta GuhaEthiraj PurushothamanJatinear GivensPrachi PriyaShashank KadetotadBudiman R.Chirag SukhadiaDarwin PosoErwin SusiloFrenny NaIhsan FauziJohan SulaimanKunal KairaPoetri HeriningtyasRestu KresnadiRhezandra PriatamaVincent HandaraWahyu WicaksanaYulhendra YulhendraAkansha SaxenaAlice HuangBehlul SakaCynthia PekronErin MittenJimmy YangLily LiRajaraman SrinivasanSusan JacobVijay RajandramVishal PandyaAtish KumarDurjoy PatranabishKa RaKamran MemonLi ShiyingxueMasaru HashimotoMasayuki KuboMatsutani AdelaRasool AghdamTomokazu TajiriYoshimichi MatsumuraBee Teng LimBudiman BujangDr. Sadesh ManikamFreddy LooIffah Illani IsmailJeff LimKhadijah JasniKong Siong LinMei Yi TanTs. Izzat AzizBharath SattiHimanshu JainJackie CaraballoJaya GwalaniKamal DistellManish NigamMaria LaverghettaNirav ParikhNisheeth ChaudharyNurtekin SavasRaghu KolathRajesh RamaswamySubhasis BhattacharyaTrang NguyenVictor DavidsonVictor S.Y. LoAbhinav MangalAlejandro SchainDejan JovanovElan PanneerselvamGaurav JindalGurpreet AtwalJeff MorrisonManoj HemanthParas DoshiRamin MobasseriSachin DangayachSamiksha GourSharad MathurSuman BhattacharyaSumesh KumarVishwa RamYogesh KandlurAhmed MunirArun ShastryDon YuanJames GastonJoe ChoKaren NogueiraKarthikeyan IlangovanMike TurnerMohan MenonRajitha MunugalaSailesh MishraShuchi AgrawalTammye GarrettTheodore JagrupTy EastChristopher TanJim SmittkampSriram SankaranSuresh PunnaVenkat SurapaneniBrijesh PandyaDeep ThomasFan YangHonglin ZhangMadhukar MakhijaNatalie (Natz) QueSachin B SinghSimon GooAbhijeet KumarAndré Michel VargasBrian KleberGannon OsburnGoutham BudatiGreg TownsendJake RadenJames PowellJonathan SmithMuhammad AliPaula SilvaRakesh ReddySiddharth MehrotraSimon ZhangTosin AlabiTrisha MitraAdam FreemanAltaf PatelAyo BabajideChris de GrubenEffie KilmerJoel LangeLuisa PiresNatalie JakomisRoxanne Howdle-RoweShruti Ahuja-RamamurthySudesh JogSukant PandeyAmine MansourArun Alex PhilipAwad El-SidiqDaniil DemitrovDr. Hazem AhmedDr. Saurabh PramanickKader Es SlamiKamal El AghaKartik IyerKirill LyadovManish VaidyaNithesh PejavarOrlando BeakbaneOsama Salem MoradRizwan TufailRoman BesedaRoshan ThayyilSachin KumarSandeep SrivastavaShashank SridharanVictor AdewusiZameel JafferCarlos AguilarJames BarrettJulia CherashoreLaksh VaswaniMikhail LisovichRahul LathSandy BalkinSashank MustiSharon M.Stanislav RosenbergSundari VeerabahuTed CubbinAdnan MohammedAndrew DouglasAnsar KassimAnupam PattanayakArun MehtaArvind BalasundaramArvind RajagopalanAshwin ThotaAvinash PemmaiahBadrinath PanyamBenito SantoroBillie S.Bob RappCarrie DonohueChirag AgrawalCorinne StroumDavid FogartyDeepa PillaiDevendra Singh ParmarDmitry MensheninDouglas ElfersElizabeth BarayugaFawad MemonGanesh SivakumarGaurav ShahGeoff GodfreyGowtham NairGyan Prakash SrivastavaHamlet KhachatryanIsmail Khan MohammedJames SwaithJason MestritsJean de Saint MichelJeff XiaJude FrancisJulio PeironcelyJyoti MishraKarthik ChallaKatelyn JonesKen LeeMajoni MaumbeManav MisraMansoor (Mohammad) PanawalaMichael CheresoMohamed Modhaffer SaidiNarayan LebakaNaveen KolliNiraj PatelOliver GomesPankaj ChopraPavan DhavaleshwarPooja DewanRani SinnasamyRobert GaragiolaSachin DwivediSaurav SumanScott NewtonSean MaccarthySheetal BudhrajaSpriha GogiaSravan KasarlaSubhashini TripuraneniSudipto GhoseSujith UnnikrishnanSumit AroraTim RiddleToni BarutiUnais T.Vipan GuptaVishal ChawlaVishal GargWalid LassouedWaseem Akram SyedWendy ZhangXi LiangYahya YavuzILun H.

Conversations in the room

Panel Discussion: Transforming Enterprises with AI - The Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

Panel Discussion : Transforming Industries with AI: Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

Open Roundtable: What Is Your AI Spend Actually Buying?

AI budgets are under a microscope in 2026. Leaders across data, technology, and analytics functions can tell you what AI costs. Far fewer can tell you what it returns, or whether the spend is changing how work gets done or simply keeping the old way of working alive. This roundtable moves past the invoice and into operational reality: where the tokens actually go, how leaders are proving (or struggling to prove) value, and what it looks like when AI changes the work instead of sitting on top of it.

The Vision Talk: Global Data Office: Looking inward through a progressive, AI-driven lens

As AI reshapes enterprise decision-making, the Global Data Office must evolve beyond traditional control and compliance. This executive presentation examines the progression from managing data as an asset to enabling data-driven decisions and delivering trusted data products. It explores how business strategy should guide Data and AI priorities, how human oversight must reflect decision risk, and how bounded autonomy can be introduced responsibly. Four practical use cases: Data Cataloging, Continuous Compliance, Data Quality and Trust, and the Data Marketplace, illustrate how organizations can reduce friction, strengthen trust, and connect governance to measurable business outcomes.

The Vision Talk : Agentic AI Is Not an Automation Strategy. It Is an Operating Model Question.

As organizations move from AI experimentation to agentic AI, treating agents simply as the next step in automation can prevent successful adoption. This talk explores why deploying agentic AI requires leaders to rethink the operating model, particularly around decision-making authority, accountability, and the data foundation that agents rely on. Through a relatable end-to-end customer journey in the property development industry, the session examines how agentic AI can transform customer service across multiple touchpoints and departments, while highlighting where these workflows can break down. The discussion will explore the key organizational decisions leaders need to make before putting their first AI agent into production.

The Vision Talk: AI Transformation - New Ways Of Working

The next phase moves AI beyond pilots into how the enterprise actually runs. Priorities follow business value and ROI, starting with supply chain, customer service, order entry, and software development. A dedicated enablement team drives delivery on a foundation of disciplined buy-versus-build decisions, a secure platform and AI-ready data products. Tiers of training builds an AI-first culture, while live governance policies keep adoption responsible and fast.

Show all 16 conversations

Panel Discussion : Transforming Industries with AI: Enterprise Success Stories [パネルディスカッション：AIが産業を変える――エンタープライズ成功事例]

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance. [AI導入が実験段階からエンタープライズレベルの実装へと拡大する中、業界を横断した成功事例から学ぶことの重要性が増しています。このパネルでは、AIが業務効率の向上、より高度な意思決定、そして大規模なパーソナライズされた顧客体験をどのように実現しているかを探ります。リーダーたちは、AIイニシアティブをビジネス目標と整合させる方法、倫理・ガバナンス・人材適応といった課題への対応策について議論します。AIから得られるインサイトを、ビジネスパフォーマンスに直結する実行可能な戦略へと転換するアプローチを考察します。]

The Vision Talk : AI Mind, Human Soul

AI is transforming organizations, but technology alone does not create lasting value. Drawing on insights from AI Mind, Human Soul and global research, this keynote explores how leadership, governance, people, and responsible AI come together to build intelligent, trusted organizations that move beyond digital transformation to deliver sustainable business impact and measurable outcomes.

Open Roundtable : Building the AI Native Organization

AI-native organizations thrive because they adapt and evolve continuously through AI at every level. By integrating machine learning and automation across operations, they achieve real-time insights and autonomous decision-making that traditional firms can’t match. This panel will examine the cultural, technical, and leadership shifts required to make AI not just a tool, but the foundation of business strategy and execution. How enterprise leaders are using AI to differentiate in the market, gain competitive intelligence, and anticipate future trends.

Open Roundtable: Building the AI Native Organization

Becoming an AI-native organisation isn't just about adopting new technology; it's a transformation spanning people, data, and strategy. It starts with culture: shifting AI from a specialist tool to an embedded capability that augments every role. Even with the right mindset, AI is only as powerful as the data beneath it. The real value often lies hidden in the connections between data silos, not within them. Organisations that uncover and reason across these relationships unlock insights that flat, siloed data cannot reveal. Get culture and connected data right, and competitive advantage follows.This roundtable explores the journey from AI adoption to AI-native, examining the cultural shifts required, the data architectures that enable it, and how organisations that master both will outpace the competition.

Panel Discussion: Transforming Industries with AI: Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

Open Roundtable : Building the AI-Native Organisation

AI-native organizations thrive because they adapt and evolve continuously through AI at every level. By integrating machine learning and automation across operations, they achieve real-time insights and autonomous decision-making that traditional firms can’t match. This panel will examine the cultural, technical, and leadership shifts required to make AI not just a tool, but the foundation of business strategy and execution. How enterprise leaders are using AI to differentiate in the market, gain competitive intelligence, and anticipate future trends

Panel Discussion: Transforming Industries with AI - Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

The Illusion of AI Productivity — Why AI ROI Slips Away—and Four Enterprise Stories That Solved It

In this keynote-style talk, Rémy Thellier confronts the “illusion of AI productivity”—the growing gap between individual time savings and enterprise-level ROI. While AI adoption is accelerating, most organizations still struggle to translate usage into measurable economic outcomes. The core argument is simple: ROI doesn’t fail because models aren’t good enough; it fails because workflows, governance, operating models, and measurement systems aren’t redesigned to capture value. To move from pilots to profit, Rémy is joined by four guest leaders from four of Snowflake’s most strategic AI/ML ecosystem partners. Together, they present a series of customer stories showing how enterprises convert AI from isolated productivity boosts into measurable financial impact—by embedding AI into governed data foundations, integrating it directly into operational workflows, and tying initiatives to concrete economic levers: cycle-time reduction that accelerates revenue, external spend compression, and operational risk reduction. Examples include an agentic application for IT software license management that identifies waste and automates reclamation, and a centralized, AI-powered marketing & sales decision engine that unifies signals across channels to improve pipeline quality, conversion, and execution speed. Designed for CDOs and CAIOs, the session delivers pragmatic shortcuts to results: repeatable patterns, proven metrics, and implementation playbooks that help leaders move beyond “hours saved” to board-ready outcomes—faster time-to-value, safer scale, and durable ROI.

Context graphs: The missing component in the AI stack

As agents take on more decisions, preserving how and why those decisions are made becomes critical – not just for accuracy, but also for trust, governance, and explainability. Join Neo4j Field CTO Jesús Barrasa as he explores how context graphs are the connective tissue that lets AI systems make informed & transparent decisions and achieve better outcomes over time.

Related field notes

From CIO Vision Pulse

A published Pulse finding for this priority is not yet available.

Next rooms

New York
Singapore
Sydney
Austin