LinkedIn Live Building Your Data Science All-Star Team: Who’s Who?
By Amol Ajgaonkar / 1 Jun 2022 / Topics: Analytics Data and AI Automation
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
Sr. Manager, Portfolio Development – Network and Security at Insight
Michael helps with the research, adoption, and scaling of emerging technologies into Insight Cloud + Data Center Transformation's enterprise networking and security portfolio. Michael brings over 15 years of IT experience to the business — five of these years have been with Insight serving in a variety of roles as a technical integrator, consulting architect, and thought leader in the realm of software-defined networking and security.
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.
