... Datascience talent is infamously difficult to find. Rather than hiring externally, Eastman took analysts from across the business and protected their time so they could learn datascience. This case study shows data and analytics leaders how to build their own datascience team with resources they already ...
Analyst(s): Chief Data and Analytics Officer Research Team
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... Agile datascience emphasizes incremental delivery of value when exploring data, creating actionable insights, and building advanced analytics and AI products. Data scientists must apply agile practices to increase business agility and deliver better outcomes. Overview Analysis Recommendations Conclusion ...
... The datascience and machine learning landscape continues to thrive in its own right and bask in the glow of generative AI. Hype and expectations for data and analytics leaders remain high overall as crucial concepts, innovations and techniques fight for attention. Analysis Definition: Why This Is Important ...
... With AI and datascience still at the top of the agenda, many new vendors and products have emerged in the datascience and machine learning market in China. Data and analytics leaders can use this market guide for a holistic review of vendor products and emerging DSML platform trends in China. Overview ...
... Datascience and machine learning platforms allow insight-driven decision making based on datascience techniques via build, customize and deploy machine learning and generative AI models. This research helps data and analytics leaders make critical decisions selecting a DSML platform vendor. Strategic ...
Analyst(s): Peter Krensky | Tong Zhang | Maryam Hassanlou | Aura Popa | Raghvender Bhati | Jim Hare | Afraz Jaffri
... architecture, datascience, ML and scalability. This track is designed for D&A leaders and practitioners such as heads of AI, AI experts, AI architects and AI engineers. Track C: Analytics This track covers everything you need to be successful with analytics and business intelligence (ABI), including self-service ...
... Principal Research Analyst focused on population health analytics and datascience, advancing over time to Distinguished Vice President Analyst on Gartner’s Healthcare team. In this role, he led Gartner’s global research agenda for Healthcare Data, Analytics, and AI, with a particular focus on the impact of generative ...
... Gartner First Takes Fresh insights on emerging trends AI and GenAI innovations present opportunities to disrupt and thrive in the crowded DSAI platform market. Product managers can best navigate the risks and opportunities in this market if they prioritize underserved customer needs and differentiated ...
... help develop in-house talent and improve datascience and machine learning literacy. CDAOs responsible for analytics, BI and datascience solutions should: Raise overall datascience and machine learning awareness, adoption and literacy. Identify citizen datascience (CDS) candidates in their organization ...