... because of limited data access, metadata collection, and siloed platforms. CFOs will need to shift to productized data flows, integrated data platforms, and localized data engineering to scale AI. Insights at a Glance Impact of AI-Ready Data Bottlenecks Actions to Build AI-Ready Data Foundations Cautions ...
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.
... governance, D&A leaders must identify and define the data owner role properly to maximize their contribution and minimize their effort. Organizations that establish data ownership effectively will increase data quality and compliance for mission-critical data. Insights at a Glance Impact Brief Actions and ...
... fear that data is artificial intelligence's greatest weakness. Do you have enough data? Do you know the provenance and lineage? There are many proposed metrics to assure the data is ready, but have you considered that AI processes are not equal or even similar in many cases? AI-ready data is not about ...
... pressures rise, organizations are blurring the lines between data governance and data security. CISOs are increasingly expected to take on broader data governance responsibilities, often extending beyond their core remit of risk management and data protection. Insights at a Glance Strategic Planning Assumption ...
Analyst(s): Niyati Daftary | Antonia Roesler | Andrew Bales | Jaimie Anderson
... Success comes down to gaining and maintaining control across three critical layers: data, operations and technology. Here’s how each dimension shapes your strategy. Data sovereignty: Control data location and compliance. Data sovereignty requires you to govern information under the legal and regulatory compliance ...
... and executing an actionable strategy for data, analytics and AI is a primary responsibility for most data and analytics leaders. This guide enables the continuous process of strategic planning, prioritizing initiatives and communicating expectations for data, analytics and AI initiatives. Overview Steps ...
... Rapid AI integration is putting pressure on current data governance practices to effectively manage AI-driven risks. CAEs must assess AI’s impact on data management, privacy and quality to adjust data governance activities and ensure adequate coverage over these emerging risks. Insights at a Glance ...
... Access Insights Already a Gartner client? Sales teams at hyperscale cloud providers (such as AWS, Microsoft Azure and GCP) often demand substantial commitment growth at renewal. Before agreeing to unrealistic targets and nominal savings, heads of IT procurement should take three steps to counter propo ...
Analyst(s): Michael Silver | Sara Gravesande | Yoann Bianic
... industries with traditional business intelligence tools, closed data ecosystems and conventional architectures. Their strength is in operational efficiency. As their business is not data-driven, they hesitate to invest in AI-ready data practices, which they perceive as risky. They consider D&A a cost ...