Adam Ronthal

No data? No AI! No metadata? No data! Gartner codified AI-ready data concepts and crafted the language in mid-2022. Practices have evolved for the four AI-ready data modes and 30 expected data evaluation and preparation steps. In this session, we recap the approach combined with how organizations are using AI data readiness as a foundation to evolve toward standardizing data for production AI.

Learn about the best practices for optimizing your data ecosystem in this informative session. Bring your questions and discover techniques and strategies to enhance data integration, accessibility and performance across your organization.

D&A leaders struggle to prioritize and justify data management spend, especially amid cloud-driven cost unpredictability. Value stream analysis links data production to direct and indirect business outcomes, driving quantifiable benefits. This session will link core research on cost management and FinOps with a means of using active metadata to measure value resulting in holistic cost optimization.

AIは、あらゆる領域でデータ／アナリティクスの新たな可能性を加速させている。成功をつかむには、必ずしも最速である必要はなく、 リスクとコストを管理しながら組織にとって価値を生み出す最善の道筋を見いだすことが重要である。本基調講演では、現在の立ち位置にかかわらず、スピードと方向性に対する戦略的なアプローチが、いかに「次に来るもの」への備えとなるかについて解説する。

D&Aリーダーは、D&A部門のケイパビリティ、コスト、価値に対するビジネスの期待が変化する中で、これまでにない不確実性と複雑さを舵取りするよう迫られている。Gartnerの第11回CDAOアジェンダ・サーベイの結果、最も成功しているD&Aリーダーは、生産性向上のためにリソースを管理し、スケーラブルなテクノロジを構築し、自らの組織のプロセスにAIを取り入れていることが明らかになった。多くのD&A部門にとって、これは抜本的なトランスフォーメーションであり、サービス・デリバリに重点を置いた既存のオペレーティング・モデルからの完全な脱却を意味する。本セッションでは、今後の困難な道のりと、変化の適切なペースを設定する方法について解説する。

AI is accelerating new possibilities for data and analytics everywhere. Success isn’t always about being the fastest, but about finding your own path to value, while managing risk and cost. Join our Gartner’s Opening Keynote to discover how a thoughtful approach to speed and direction helps you prepare for what’s next, no matter where you are today.

D&A leaders have a key strategic decision to make over the next few years. What does their strategic and long-term data management platform looks like and where to source it from? There are four options that this session will discuss: utilizing the all encompassing data platform from their cloud service providers, extending their ISV solution providers to enable their data platform, engaging their enterprise SaaS application providers to support D&A use cases, or taking a blended approach.

Ten years ago, we began researching data gravity. The story then was not wrong, but incomplete. In this session, we use planetary dynamics as a metaphor to explain data gravity, defined by both volume and density (business value). Attendees will learn new ways to think about data and assess the impact of mergers, partnerships and acquisitions.

To achieve agentic optimization, D&A leaders must invest in active metadata and data ecosystems, develop FinOps maturity, and train AI models. This foundation enables efficient, automated decision-making for deploying and optimizing D&A resources. This session explores how these areas intersect, offering a holistic view of agentic capabilities, impacts and risks. Go beyond targeted agents and think big!