... Asset-intensive industries produce enormous amounts of industrial data from controllers, actuators and machines. A comprehensive industrial data management framework will enable CIOs to achieve critical business goals. Join this webinar to transform your enterprise and enable the art of the possible. ...
Analyst(s): Lillian Oyen-Ustad | Scot Kim
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... D&A leaders typically don’t use a risk register, which limits their ability to understand and evaluate their data, analytics and AI risks. Without a data and analytics risk register, D&A leaders cannot protect their investments from the internal, external or technological events that impact them. More ...
... enterprise architecture and their teams must provide highly consumable, data-driven guidance to drive business value. This research shows how to build an effective collaboration model with D&A to enhance enterprise architecture guidance using data and analytics to improve decision making. Overview Introduction ...
Analyst(s): Nate Novosel | Andrei Razvan Sachelarescu
... Scaling D&A is a top priority for supporting business outcomes and building a data-driven organization. What does the headcount look like? How many FTEs do organizations need? Data and analytics leaders can use ratios and size benchmarks to start, but building a forecast is a better approach. More Detail ...
... by 2030. Product leaders should position infrastructure PCs as AI FinOps extensions, enabling local AI processing, real-time cost control and secure data governance to unlock new enterprise value. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner Insights Abstract ...
... LLMs are not trained on your regulations, specs or customer data, so a model alone cannot do organization-specific work. A knowledge base supplies that missing knowledge to AI agents. This research guides CDAOs through the components, process flow and implementation approaches for an AI knowledge base ...
... Agentic AI is pushing AI-optimized infrastructure beyond raw compute. As orchestration becomes the new control plane, providers must integrate models, data, memory and governance across the enterprise AI life cycle, while those focused only on compute risk becoming low-margin utility providers. Overview ...
... Most implementations of AI in support and service don’t consider growing revenue. Tech CEOs who do not use this data to predict intent, miss high-value expansion opportunities that competitors will capture. Build intent signaling to drive retention, cross-sell and upsell to power the next generation ...
Analyst(s): Jess Walker | Adrian Lee | Forest Conner
... This Consult the Board survey summary features inputs from 25 Data and Analytics Research Board and Gartner Research Board for Global CIOs members on their approaches to managing the costs of generative AI (GenAI) token consumption, such as token allocation and controls, consumption visibility, and key ...