Building and scaling high-performance data science teamsunwiredcp
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.
Resource allocation remains uncertain, given unclear ROI. Rapidly evolving technology necessitates continuous learning, while ethical and regulatory compliance requires vigilant oversight.
Addressing 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.
In 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.
- Setting data standards
- Power of Data- Criticality and Literacy
- Collaborating for Efficiency, Precision
- Innovation for Competition
- Frictions for Businesses- Bane of Data-Centrism
- Challenges and Mitigation
|19:00- 20:00||Round-Table Discussion- Data Science – Transforming Enterprise: Agility, Precision and Way Forward|
|20:00- 20:15||QnA Session|
|20:15 onwards||Networking Dinner and Cocktail|
Head Data Science – AI, ML and Automation
Chief Data Scientist
Jocata Financial Services
Sr. Director – Head of Risk, Credit Underwriting & Collections
Kiran Kumar Sanapathi
Head of Analytics
SVP, Head of Enterprise Analytics and Data Science
Ex- ICICI Securities
VP, Head of Decision Sciences
Jana Small Finance Bank
Data Science and ML Lead
Director, APAC – Data and Analytics
Head of Risks and Collection
Director- Data & Analytics