... AI regulations are now coming in just as fast as new AI products. Some say they will stifle innovation, while others argue that they are late. Either way, CIOs will have to deal with a global regulatory wave that risks sinking their AI strategy. This session will provide a global overview of AI regulation ...
Analyst(s): Nader Henein
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.
... Access Insights Already a Gartner client? Life sciences CSCOs struggle to achieve results from AI investments as supply chain use cases are still emerging and vendor claims often conflict. This research highlights proven industry examples and offers recommendations to design practical projects with tangible ...
... will not generate enough enterprise technology pipeline to justify the costs or the damage to deliverability and brand. Tech CEOs should instead deploy AI to energize inbound demand generation, converting more leads — more rapidly — into deeply qualified opportunities. Insights at a Glance Impact Actions ...
... risk vectors to operational activities. CIOs must secure and maintain data foundations, deploy privacy-enhancing technologies (PETs) and establish “no-AI” zones to protect reputation and customer trust. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner Recommended Reading ...
... Gartner’s Eye on Innovation Awards recognize organizations worldwide for their best-in-class technological innovations. Healthcare and life sciences CIOs can use these insights and examples from submissions and winners to inspire their teams and light the path to transformation. Overview Analysis Gartner ...
... Access Insights Already a Gartner client? CIOs and IT SPVM leaders must redesign the IT vendor manager job for AI-driven value creation, not just efficiency. This insight shows how to shift from transactional tasks to strategic ecosystem orchestration while managing behavioral challenges during job transformation ...
Analyst(s): Yanni Karalis | Edward Weinstein | Kabeh Vaziri | Lily Mok
... ’s use-case-driven focus on security workflows and a tailored baseline of institutional knowledge from client-specific data makes it the pacesetter inAI SOC agents for threat investigation. Competitors who focus on highly contextualized solutions and don’t rely on foundational LLMs can compete. Overview ...
... leadership was built on the traditional models — the efficient delivery of high-quality human intelligence at scale. However, as the rapid evolution of AI begins to replace humans and starts disrupting how services are delivered, the Indian IT services industry will have to reinvent itself to stay relevant ...
... Google’s integrated AI agent tech stack, investment into features and support for enterprise scale, and continued innovation inAI models make it the company to beat because it outpaces competition in vision and innovation. Competitors can invest in features enabling scalable AI and model innovation ...
Analyst(s): Kiumarse Zamanian | Jason Wong | Danielle Casey | Eric Goodness