... changes require action and which should simply be monitored. This helps leaders focus on the signals that matter most. AI can surface signals, refresh scenarios and identify emerging risks in near real time. More information alone does not improve decisions. Leaders must determine whether new information ...
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... Gartner client? The number of enterprises implementing artificial intelligence grew 270% in the past four years, according to Gartner’s 2019 CIO Survey. The survey shows CIOs interested inAI how they compare to peers, and how to get started with their AI efforts if they haven’t already begun. Survey Objective ...
... True productivity in an AI-native SDLC requires more than just faster coding. Software engineering leaders will only realize AI’s full value by enabling their teams to accelerate the translation of business intent into engineering-ready requirements without sacrificing meaning. Insights at a Glance ...
Analyst(s): Mark Driver | Ross Power | Chris Meering | Nabeeha Ahmed | Neha Agarwal
... with the effects of rapidly changing demand for services, talent shortages and an uncertain economic environment. CIOs will be investing inartificial intelligence and distributed cloud to help meet those goals. Gartner Insights Abstract ...
... Heads of I&O are often on a misguided mission to find mythical cost-of-downtime numbers, which leads to a lack of credibility and, ultimately, a denial of necessary funding. Focus instead on impacts that matter to business leaders such as loss of revenue and customer impacts. Insights at a Glance Issu ...
Analyst(s): Mark Jaggers | Padraig Byrne | David Gregory | Ron Blair
... Access Insights Already a Gartner client? D&A leaders struggle to get business stakeholders, many of whom are now data owners, to connect the relevance of D&A governance activities back to their priorities and goals. Three D&A leaders outline practical strategies to make data governance relevant and a ...
Analyst(s): Sarah Turkaly | Cameron Roche | Nate Novosel | Claire Song
... software engineering leaders should use this guide to systematically design, pilot, and scale AI applications, assistants and agents, addressing challenges in architecture, team skills, and leadership buy-in to deliver measurable business value. Strategic Planning Assumptions Analysis Research Highlights ...
Analyst(s): Alex Coqueiro | Nitish Tyagi | Dave Micko | Tigran Egiazarov | Philip Walsh | Shiva Varma
... Access Insights Already a Gartner client? IT SPVM leaders are experiencing AI value leakage when vendors keep productivity gains while the buying organization continues to pay static, point-in-time pricing. Minimize value leakage by shifting the burden of proof to vendors and forcing them to prove it ...