Mar 15–18, 2020

Schedule: Executive Briefing sessions

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11:00am11:40am Tuesday, March 17, 2020
Location: LL21 D
Mudasir Ahmad (Cisco)
Artificial intelligence (AI) is a natural fit for supply chain operations, where decisions and actions need to be taken daily or even hourly about delivery, manufacturing, quality, logistics, and planning. Mudasir Ahmad explains how AI can be implemented in a scalable and cost-effective way in your business' supply chain operations, and he identifies benefits and potential challenges. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: LL21 D
Jike Chong (LinkedIn), Yue Cathy Chang (TutumGene)
More than 85% of data science projects fail. This high failure rate is a main reason why data science is still a science. Jike Chong and Yue "Cathy" Chang outline how you can reduce this failure rate and improve teams' confidence in executing successful data science projects by applying data science technology to business problems: scenario mapping, pattern discovery, and success evaluation. Read more.
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1:45pm2:25pm Tuesday, March 17, 2020
Location: LL21 D
Katie Malone (Civis Analytics), Michelangelo D'Agostino (ShopRunner)
Data science is relatively young, and the job of managing data scientists is younger still. Many people undertake this management position without the tools, mentorship, or role models they need to do it well. Katie Malone and Michelangelo D'Agostino review key themes from a recent Strata report that examines the steps necessary to build, manage, sustain, and retain a growing data science team. Read more.
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2:35pm3:15pm Tuesday, March 17, 2020
Location: LL21 D
Barr Moses (Monte Carlo)
Ever had your CEO or customer look at your report and tell you the numbers look way off? Barr Moses defines data downtime—periods of time when your data is partial, erroneous, missing, or otherwise inaccurate. Data downtime is highly costly for organizations, yet is often addressed ad hoc. You'll explore why data downtime matters to the data industry and how best-in-class teams address it. Read more.
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4:15pm4:55pm Tuesday, March 17, 2020
Location: LL21 D
Secondary topics:  Security and Privacy
Kathy Winger (Law Offices of Kathy Delaney Winger)
Kathy Winger walks you through what business owners and technology professionals need to know about potential risks in the cybersecurity arena. You'll learn current legal and data security issues and practices along with what’s happening on the regulatory front. Along the way, you'll discover how to mitigate the risks you face. Read more.
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5:05pm5:45pm Tuesday, March 17, 2020
Location: LL21 D
Sanjeev Mohan (Gartner)
The acceleration of the migration of workloads to the cloud isn't a binary journey. Some workloads will still be on-premises and some will be on multiple cloud providers. Sanjeev Mohan identifies key data and analytics considerations in modern data architectures, including strategies to handle data latency, gravity, ingress transformation, compliance, and governance needs and data orchestration. Read more.
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11:00am11:40am Wednesday, March 18, 2020
Location: LL21 D
Mark Donsky (Okera)
Privacy regulation is increasing worldwide with Europe's GDPR, the California Consumer Privacy Act (CCPA), and the New York Privacy Act (NYPA). Penalties for noncompliance are stiff, but many companies still aren't prepared. Mark Donsky shares how to establish best practices for holistic privacy readiness as part of your data strategy. Read more.
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1:45pm2:25pm Wednesday, March 18, 2020
Location: LL21 D
Arvind Prabhakar (StreamSets)
DataOps is the best approach for enterprises to improve business and drive future revenue streams and competitive differentiation, which is why so many businesses are rethinking their data strategy. Arvind Prabhakar explains how DataOps solves all the problems that come along with managing data movement at scale. Read more.
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2:35pm3:15pm Wednesday, March 18, 2020
Location: LL21 D
Steven Beales describes applications of NLP, machine learning, and the data-driven rules that generate significant productivity and quality improvements in the complex business workflows of drug safety and pharmacovigilance without large upfront investment. Pragmatic use of AI allows organizations to create immediate value and ROI before widening adoption as their capabilities with AI increase. Read more.
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4:15pm4:55pm Wednesday, March 18, 2020
Location: LL21 D
Anand Rao (PwC), Joseph Voyles (PwC)
Anand Rao and Joseph Voyles introduce you to the core differences between software and machine learning model life cycles. They demonstrate how AI’s success also limits its scale and detail leading practices for establishing AIOps to overcome limitations by automating CI/CD, supporting continuous learning, and enabling model safety. Read more.

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