Day One: Sunday, April 19th, 2020

10:15 am - 10:45 am Registration

10:45 am - 11:00 am Welcome Orientation

11:00 am - 11:10 am Chairperson's Welcome & Opening Remarks


Bringing data and analytics into the decision making discussion is vital. Education is necessary in order to build a common language where there is competence in analysis from customer service to sales to marketing. As painful as it may be to say sometimes the emerging technologies are still just buzzwords outside of the data and analytics office.  While there is a definite acceptance to the concept of a data driven culture, being able to clearly demonstrate the ROI of specific projects and initiatives remains both important and tricky at the same time. 

In this session:
•Ensuring data literacy throughout the organization
•Requisitioning with a demonstrated return on investment
•Showing cost savings through implementation
•Increasing employee productivity and efficiency

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Priyanshu Raj

Corporate Vice President (Senior Director), Enterprise Data Strategy & Analytics
New York Life Insurance Company

11:40 am - 12:10 pm Benefits of Creating an Analytics Center of Excellence

Dan Thorpe - Senior Director Analytics, Data Science, Modeling, Testing & Measurement, Chico's FAS, Inc.
The analytics center of excellence (ACE) combines information management, data governance, and business intelligence, all with the goal of making analytics an omnipresent and sustainable part of the enterprise while connecting often separate lines of business. 
Collaboration is essential to serve as a facilitator of all things analytics including:

•Aligning business strategy and governance
•Streamlining Business Intelligence, predictive analytics, and prescriptive analytics
•Connecting with respective subject matter experts from finance, operations and facilities
•Providing integrated analytics with data from multiple locations
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Dan Thorpe

Senior Director Analytics, Data Science, Modeling, Testing & Measurement
Chico's FAS, Inc.

12:10 pm - 12:40 pm Scale Your Data Science Practice with Automation

Aaron Cheng P.h.D. - Vice President of Data Science & Solutions, dotData
A 2019 research report by VentureBeat showed that over 87% of data science projects never make it into production. While there are a number of reasons for this high failure rate, lack of resources is a key issue. In fact, a 2018 report by LinkedIn, showed a shortfall of over 150,000 people with Data Science skills in the US alone. Join dotData VP of Data Science, Aaron Cheng as he discusses the state of data science and its impact on AI and Machine Learning, and how automation can help organizations scale their data science practices - ranging from accelerating feature creation to optimizing machine learning models and pushing them into production.
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Aaron Cheng P.h.D.

Vice President of Data Science & Solutions
dotData

12:40 pm - 1:40 pm Networking Lunch


1:40 pm - 2:10 pm Machine Learning Pitfalls- The Road to Analytic Hell is Paved with Good Intentions

As the practice of applied Machine Learning grows and data science/advanced analytics business teams proliferate, there have been correlated increases in operator error and questionable practices. This presentation details some common pitfalls and myths to watch out for as you grow or build your data science divisions and presents compelling facts to counter growing misperceptions as more and more businesses try to leverage these techniques. Grouped into conceptual, analytic, and organizational pitfalls and outlining core concepts critical to understanding machine learning as a powerful business tool, this engaging presentation shares examples and lessons culled from a combination of experience, published articles, and the broader data science and advanced analytic communities.

2:10 pm - 2:40 pm Beyond Marginal Optimization

The promise of bold data-driven action can’t materialize without a departure from prevailing methodology and a break from comfortable patterns of behavior.
 

2:45 pm - 3:15 pm Business Meeting


3:15 pm - 3:45 pm Business Meeting

3:45 pm - 4:15 pm Business Meeting


4:15 pm - 4:30 pm Networking Break

Master Class

4:30 pm - 5:15 pm Achieving the Nirvana of Self-Service Data Science
Dr. Mike Kim - CTO and Co-Founder, Outlier
How are data leaders applying best practices to managing the data supply chain, empowering stakeholders to collaborate, and sharing trusted data throughout the organization? Discuss how the industry is successfully automating data lineage and governance, creating transparency to build trust and accessibility, reducing 100’s of hours of time to find and deliver data down to minutes – all while staying compliant.

In this Session you’ll discuss how to:
•Trust and deliver data across multiple BI platforms
•Manage the wake of data redundancy left behind from data prep tools
•Assure data privacy in the modern BI environments
•Effectively buy and use 3rd party data
•Collaborate, rank, and recommend data
•Harmonize multiple compliance regulations on the same data

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Dr. Mike Kim

CTO and Co-Founder
Outlier

Masterclass

4:30 pm - 5:15 pm Embedding Analytics to Reduce Risk
With expanded enterprise automation comes increased operational data. Automation allows for fewer human errors and the increasing focus on the customer and the continuing digitization of the business is also creating huge amounts of operational data.  By embedding the right analytics, organizations have the opportunity to better monitor and also manage their operational risk.

In this session:
•How to collect the right data to reduce operational risk
•How to define the correct key risk indicators
•How to identify the right tools to identify vulnerabilities

These 10-minute presentations will offer innovative approaches for managing the growing demands on Data & Analytics units:

Ignite Session

Ignite Session

5:20 pm - 5:50 pm A. Data Transparency: Delivering Better Business for a Better World
Kimberly Southerland - Director, North American Presales Enablement, Stibo Systems
These 10-minute presentations will offer innovative approaches for managing the growing demands on Data & Analytics units
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Kimberly Southerland

Director, North American Presales Enablement
Stibo Systems

Ignite Session

5:20 pm - 5:50 pm B.Deriving Value from IoT Data with Analytics at Scale
Jeff Healy - Director, Product Marketing, Vertica
These 10-minute presentations will offer innovative approaches for managing the growing demands on Data & Analytics units
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Jeff Healy

Director, Product Marketing
Vertica

Ignite Session

5:20 pm - 5:50 pm C. Predictive Analytics- Mapping the Right Processes for Analysis

End user Roundtables

5:55 pm - 6:55 pm Champagne Roundtable Conversations

•Optimizing Transactional Experiences by Deploying Voice of the Customer Analytics throughout the Journey
•Activating Emotions to Increase Engagement and Better Predict Outcomes
•Deploying a Sustainable Tag Governance Framework

6:55 pm - 7:25 pm Cocktail Reception


7:25 pm - 7:55 pm Networking Dinner