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SUMMARY:Building and scaling high-performance data science teams
DESCRIPTION:Building and scaling high-performance data science teams can be a complex endeavour with various challenges. Our global AI survey reveals that 58% feel the shortage of talent and the time it takes to upskill current employees is the most prevalent problem in their AI strategy adoption. Diversifying skills within teams, aligning them with the company’s culture, and ensuring cultural fit adds complexity. Data access and quality, scalability, interdisciplinary collaboration, and retaining talent all pose hurdles.\nResource allocation remains uncertain, given unclear ROI. Rapidly evolving technology necessitates continuous learning, while ethical and regulatory compliance requires vigilant oversight.\nAddressing these issues requires a thoughtful approach, strong leadership, investment in training and development, and a commitment to creating a supportive and inclusive data science environment within the organization.\nIn a bid to bridge this gap of opportunity unbound and challenges, we on behalf of Times Group, ET Edge is organising an evening round-table discussion, for select data science leaders and officers, who will join to delve into the techniques and leadership skills required to create synergistic and high performing data science teams that produce exceptional results, on 12th October, 2023 (Thursday) in Bangalore.\n
URL:https://etunwired.et-edge.com/2023/10/03/building-and-scaling-high-performance-data-science-teams/
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CATEGORIES:Roundtables
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