LinkedIn Live Building Your Data Science All-Star Team: Who’s Who?
By Amol Ajgaonkar / 2 Jun 2022 / Topics: Artificial Intelligence (AI) Automation Analytics
According to what we’re seeing in the market lately, almost half of enterprises are looking at data and analytics and how to build out AI capabilities to bolster business innovation. To help support your organization on that journey, our data and AI experts share how to move forward with building a data science team, skills to prioritize and what to look for when you’re developing a data and AI practice.
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Presented by:
Michael Moore
Solutions Director of Cross-Domain Architecture, Insight
Michael has more than two decades of experience in the IT sector, working extensively with Cisco networking and security solutions. Since joining Insight 11 years ago, Michael has held a variety of roles, ranging from technical consulting to partner management and alliances to portfolio development. In his current role, Michael contributes to Insight's Infrastructure Solutions portfolio, helping to drive innovation and develop modern technology offerings for clients through a combination of products, software, and Insight services. Michael is recognized for his ability to integrate diverse technologies and provide consulting on IT infrastructure optimization.
Amol Ajgaonkar
CTO, Product Innovation, Insight
Amol draws upon two decades of experience to drive thought leadership and strategy for outcomes-focused solutions. He is a technology leader with a passion for operationalizing Intellectual Property (IP) and fostering innovation to create customer-focused offerings and accelerators. His expertise lies in transforming innovative ideas into practical solutions, aligning them with customer needs and optimizing their implementation within the company. Amol excels in orchestrating cross-functional teams, fostering collaboration and building strategic partnerships to deliver results.
Ken Seier
National Practice Lead for Data & AI, Insight
Ken is passionate about driving analytics innovation with measurable outcomes and real business value. Ken and his team have been responsible for billions of dollars of revenue and savings through responsible analytics initiatives and innovation.
