The hiring and training of talent for GEN AI projects are pivotal steps in harnessing the potential of this cutting-edge technology, ensuring that organizations can leverage it effectively to drive innovation and competitive advantage. Building a skilled workforce in GEN AI is essential for staying at the forefront of the AI revolution.
In this week’s CDO Insights we have with us Vikas Kamra who is the Co-Founder & CEO of Valiance. He specializes in collaborating with global clients to create business value using data science, machine learning, and cloud technologies. Valiance has a successful track record of delivering projects for several renowned brands across various industries, including many Fortune 500 companies. These projects encompass areas such as Demand Planning, Customer-360, Personalization, Credit Risk & Fraud, Artificial Intelligence, Machine Learning, Generative AI, IoT Analytics, Data Quality and more. In addition to his professional work, Vikas is passionate about building high-performing teams in data science, data engineering, and software engineering.
In this talk, Vikas discusses innovative approaches to building and managing Gen AI teams, emphasizing upskilling and unique talent acquisition strategies. He addresses the surprising absence of data scientists in Gen AI projects and the significance of job designations. He also touches on challenges in nurturing data science teams and highlights the importance of continuous learning for Gen AI professionals. Additionally, he explores hiring from non-Tier 1 colleges, initiatives for upskilling, and provides advice for data scientists interested in transitioning to Gen AI engineering.
