Today, organizations across every industry are trying to figure out the right formula for harnessing the massive amounts of data at their disposal to bring real, tangible business value. Most don’t succeed — Gartner estimates that through 2022, only 20% of analytic insights will deliver business outcomes.
NXP Semiconductors is building processes, supporting people, and investing in technology to buck this trend, becoming one of the leading organizations in executing on data initiatives today.
In this fireside chat-style webinar, Lance Lambert, Director of Enterprise Business Intelligence at NXP Semiconductors and Kurt Muehmel, Chief Customer Officer at Dataiku, discuss NXP’s keys to success with their data initiatives, including:
- Best practices and operational models for AI Centers of Excellence.
- How NXP has structured its data initiatives from an organizational perspective to maximize return on investment.
- NXP’s challenges and wins in encouraging data-driven thinking from the bottom up, including with programs to educate and upskill employees.
Lance Lambert — Director of Enterprise Business Intelligence @ NXP Semiconductors
Lance Lambert is Director of Enterprise Data & Analytics for NXP Semiconductor. He has 20+ years’ experience building and leading global teams responsible for driving information insights through data & analytics. A U.S. Marine Corp and Desert Storm veteran, Lance brings a discipline to his field that confronts the challenge of effective data analytics governance and organization. He lives in Dripping Springs, Texas with his wife and two daughters and publishes poetry in his free time.
Kurt Muehmel — Chief Customer Officer @ Dataiku
Kurt Muehmel is the Chief Customer Officer at Dataiku. He was formerly vice president of solutions engineering at Dataiku, where he built analytics and AI solutions for Fortune 100 companies worldwide and built its solutions engineering capability worldwide. Having worked with dozens of clients of all sizes and across a multitude of sectors, Kurt has developed a deep understanding of the challenges and opportunities for companies looking to increase the value they’re deriving from their data and increase the capabilities of the growing teams of data scientists, engineers, and analysts. In a career that’s spanned several international moves, he’s worked for the United Nations, a Big Four consultancy, and a struggling high school in the Paris suburbs.
Founded in 2013, Dataiku is the world’s leading AI and machine learning platform, supporting agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale. For enterprise companies, Dataiku leverages the power of AI in every business decision for transformative impact by giving its customers: Integrating it’s All-in-one data science platform seamlessly into existing infrastructure, centralizing data initiatives, and empowering teams with self service analytics. Dataiku was named to the Forbes Cloud 100, the definitive ranking of the top 100 private cloud companies in the world, in 2019 and again in September 2020.