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Webinar On-Demand
... as they discuss the consequences of ineffective data storytelling and the actions your organization needs to take to avoid them. This session shows how telling a clear data story, using five key factors and tailored to your audience helps the organization make smarter decisions and achieve better business ...

Analyst(s):   Aura Popa
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Research Nov 2025
... Access Research Already a Gartner client? Data and analytics leaders must align data science team structures with AI maturity, integrate cross-functional talent, and foster collaboration between enablement and product teams. Managing this complexity requires various organizational models that balance ...

Analyst(s):   JC Martel   |   Aura Popa   |   Tong Zhang   |   Afraz Jaffri
Premium Research Jun 2025
... Unlocking insights hidden in financial data is a crucial responsibility of finance teams. To support this goal, finance transformation leaders should prioritize building staff proficiency in five core data science skills — Python, data wrangling, modeling, data visualization and GenAI code generation ...

Analyst(s):   Valeria Miron   |   Alex Levine   |   Andrew Lubrano
Premium Research Oct 2025
... technology trend for C-suite executives. Data and analytics leaders must plan for their impact on analytics, business intelligence and data science processes, people and platforms. Analysis Research Highlights Contributors Gartner Recommended Reading Note: How GenAI Impacts Data-Driven Decision Making Gartner ...

Analyst(s):   Georgia O'Callaghan   |   Afraz Jaffri   |   Yogesh Bhatt   |   Anirudh Ganeshan   |   Leinar Ramos   |   Diarmuid Curran   |   David Pidsley   |   Kjell Carlsson   |   Andrés García-Rodeja   |   Rita Sallam
Premium Research Jul 2025
... gets most of the hype, other AI techniques such as forecasting and classification currently deliver most of the value. D&A leaders responsible for data science and machine learning can use this Hype Cycle to harness key technologies to build and govern predictive and prescriptive models. Analysis Definition ...

Analyst(s):   Deepak Seth   |   David Pidsley   |   Diarmuid Curran   |   Kurt Schlegel
Premium Research Sep 2025
... This Toolkit contains request for proposal templates for data science and machine learning platforms. These templates represent a starting point for companies defining their objectives and capabilities for selecting a data science and machine learning platform vendor. Gartner Research ...

Analyst(s):   Deepak Seth   |   Afraz Jaffri   |   Tong Zhang   |   Yogesh Bhatt   |   Maryam Hassanlou
Premium Research May 2025
... Data science and machine learning platforms provide software to build, customize and deploy AI models using various techniques. Data science, machine learning and AI leaders need to select platforms with awareness of AI agents enabling autonomous and interactive workflows and applications. Strategic ...

Analyst(s):   Maryam Hassanlou   |   Tong Zhang   |   Yogesh Bhatt   |   Afraz Jaffri   |   Deepak Seth
Premium Research Jun 2025
... As data, data science and software development practices increasingly collide, organizations must leverage the synergies between people, process and technologies. D&A leaders can use these Gartner survey results to navigate and respond to this opportunity to deliver D&A solutions that drive competitive ...

Analyst(s):   Carlie Idoine
Premium Research Jun 2025
... Data and analytics leaders must reduce project turnaround times and costs, and ensure data scientists focus on high-impact tasks. This can be done by leveraging generative AI for tasks such as code, document and synthetic data generation, feature engineering and model deployment. Overview Introduction ...

Analyst(s):   Diarmuid Curran   |   Kurt Schlegel
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