... Traditional datascience approaches and skills are inadequate for piloting or putting into production most generative AI solutions. Data and analytics leaders must establish new skills capable of harnessing the power of GenAI. Overview Introduction Analysis Contributors Gartner Recommended Reading Note ...
Analyst(s): Tong Zhang | Ben Yan | Mike Fang
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... A lack of portfolio management strategies creates significant challenges for supporting enterprise analytics, datascience and AI initiatives. Data and analytics leaders should use this research to consolidate tools and platforms, optimize costs and balance core features. Overview Introduction Analysis ...
... Essential Guide to Prioritizing Data and Analytics Around Value Before you can re-engineer decisions, align the data and analytics (D&A) strategy around business value. To capture the business opportunities created by re-engineering decisions, your D&A strategy and operating model must be aligned to ...
... How Data & Analytics Leaders Are Shaping Generative AI Initiatives Generative AI is a transformative technology that has a fairly low barrier to adoption and wide applicability. By Data and Analytics Practitioner Research Team With the rise of AI, D&A leaders are assessing or piloting Generative AI ( ...
... value comes from strong data, governance, operating models and technology foundations. Join Gartner Data & Analytics Summit 2027 to explore AI, data and analytics strategies that deliver measurable results and growth. Leadership and Strategy Build leadership capabilities that turn data, analytics and AI into ...
... Agentic AI is redefining healthcare and life sciences, driving even the most cautious organizations to explore adoption as a strategic lever for addressing industry challenges and gaining competitive advantage. This evolution has the potential to transform workforces, operations and patient experiences ...
... becoming an AI-driven finance organization requires a new breed of finance employees that speaks data and writes in Python. This presentation will help CFOs understand how to attract and manage datascience talent in finance. Session Description Learning Objectives Intended Audience Gartner Research ...
... Datascience and AI leaders struggle to meet the needs of employees simply by hiring more data scientists. Therefore, upskilling paths must broaden AI skills across experience levels, from experts to novices. This research provides recommendations for creating and implementing those initiatives. Overview ...
Analyst(s): Kurt Schlegel | Aura Popa | Afraz Jaffri | Peter Krensky | Scott Clendaniel
... Access Insights Already a Gartner client? The overall data and analytics software market grew by 13.2% to 150.9 billion in 2023 in current U.S. dollars. Datascience and AI platforms and nonrelational DBMS were the fastest-growing subsegments in data and analytics software, with growth rates of 29.3% and ...
Analyst(s): Rahul Yadav | Vivek Tomar | Jim Hare | Nimit Bali | Kevin Quinn | Robin Schumacher | Sharat Menon | Radu Miclaus