Scott Zoldi, CAO FICO

Scott Zoldi, CAO FICO

Author: AnalyticsWeek December 20, 2016 Duration: 52:06
In this session, Scott Zoldi, Chief Analytics Officer, FICO, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as an analytics executive, best practices, and hacks for upcoming executives challenges/opportunities he's observing as a Chief Analytics Officer. Scott discussed creating the data-driven culture and what leaders could do to get buy-ins for building strong data science capabilities. Scott discussed his passion for security analytics. He shared some best practices to put-up a Cyber Security Center of Excellence. Scott also shared what traits future leaders should have. Timeline: 0:29 Scott's journey. 5:10 On Falcon's fraud manager. 9:12 Area in secuity where AI works. 11:40 FICO's dealing with new products. 15:30 Centre of excellence for cyber security. 22:00 Should a center of excellence be inside out or in partnership? 28:22 The CAO role in FICO. 31:14 Is FICO in facing or out facing? 32:12 Being analytical in a gutt based organization. 35:54 Art of doing business and science of doing business. 38:22 Challenges as CAO in FICO. 41:09 Opportunity for data science in the security space. 45:54 Qualities required for a CAO. 48:54 Tips for a data scientist to get hired at FICO. Podcast link: https://futureofdata.org/analyticsweek-leadership-podcast-with-scott-zoldi-cao-fico/ Here's Scott Zoldi's Bio: Scott Zoldi is Chief Analytics Officer at FICO, responsible for the analytic development of FICO’s product and technology solutions, including the FICO™ Falcon® Fraud Manager product, which protects about two-thirds of the world’s payment card transactions from fraud. While at FICO, Scott has been responsible for authoring 72 analytic patents, 36 patents granted, and 36 in process. Scott is actively involved in developing new analytic products and Big Data analytics applications, many of which leverage new streaming artificial intelligence innovations such as adaptive analytics, collaborative profiling, and self-learning models. Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of Cyber Security attacks and Money Laundering. Scott serves on two boards of directors, including Software San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical physics from Duke University. Follow @scottzoldi The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

The landscape of data and analytics is shifting faster than ever, driven by the people who build the systems, challenge the norms, and imagine what comes next. The Future of Data Podcast from AnalyticsWeek sits down with those very people for substantive, often unexpected, dialogues. Each episode is a direct conversation with a leader, an influencer, or a change maker who is actively shaping this dynamic world. You’ll hear less from theorists and more from practitioners in the trenches, discussing the real-world implications of new technologies, the evolving ethics of data use, and the practical strategies that separate hype from genuine transformation. This podcast delves into the human stories behind the data stacks, exploring the challenges, failures, and breakthroughs that define modern analytics. It’s a space for nuanced discussion that goes beyond surface-level trends to examine how data is fundamentally altering industries, governance, and our daily lives. Listen for candid insights on building effective teams, navigating the complexities of AI integration, and anticipating what the next decade of innovation might demand from professionals at every level. These are the essential conversations for anyone who needs to understand not just what is happening in data, but why it matters and where we might be headed. Tune in for a thoughtful exploration of the tools, ideas, and individuals charting the course forward.
Author: Language: English Episodes: 96

The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
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