... In a Q&A with Toshiba America General Counsel Tim Fraser, legal leaders can learn why he thinks generative AI can help teams cut costs and free up time to do more strategic work. Plus, hear how his team is using the technology — and why he believes companies can’t afford to wait to deploy it. About Toshiba ...
Analyst(s): Laura Cohn
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... Gartner’s 2024 generative AI use case comparisons evaluate use cases across 14 industries, assessing value and feasibility. CIOs can use this collection to refine strategic planning, benchmark opportunities within and across industries, and identify critical considerations for investment in GenAI. Analysis ...
... a Gartner client? Generative AI — and increasingly, agentic AI — is reinventing how software is planned, built, tested and operated. Software engineering leaders need a structured approach to turn experimentation into measurable productivity and business value or risk failing on AI adoption returns. ...
Analyst(s): Tigran Egiazarov | Bill Blosen | Neha Agarwal | Philip Walsh
... Generative AI and large language models create risks that are critical for audit to identify and address. By using this research, CAEs can equip themselves to address GenAI risks by understanding potential risk sources and their implications for the business. Insights at a Glance Issue Impact More Detail ...
... While generative AI adoption remains a strategic priority, operational reality has slowed down value creation. This research presents the nine most common pitfalls threatening GenAI investment that IT leaders should avoid, categorized as strategic, technical, and operational risks. Insights at a Glance ...
... AI governance platforms designed to ensure compliance are largely reactive and don’t offset the increasing risk of ethical missteps. This research shows product leaders how leading GenAI startups are investing in digital ethics to get ahead of shifting customer, societal and regulatory expectations. ...
... Access Insights Already a Gartner client? Data and analytics leaders must prioritize active metadata when managing benefits and risks of generative AI and large language models for data management — preferably within a data fabric. This detailed set of practices provides a maturity guide for moving from ...
Analyst(s): Robert Thanaraj | Roxane Edjlali | Ehtisham Zaidi | Melody Chien | Mark Beyer
... Access Insights Already a Gartner client? Spending on data management software with embedded generative AI capabilities will grow from $2 billion in 2025 to $13 billion by 2028. Vendors able to meet demands around GenAI-ready data and GenAI-driven self-service will grow their market share. Overview ...
... Access Research Already a Gartner client? Generative AI has disrupted and is continuing to transform content development and customer experience. IT leaders can transition from piloting GenAI to implementing it by learning from others who have successfully implemented the technology to impact creativity ...