Day 1

11:00 AM - 11:45 AM Welcome Brunch and Registration

11:45 AM - 12:00 PM End User Orientation

11:45 AM - 12:00 PM Sponsor Orientation

12:00 PM - 12:30 PM Kickoff Networking Activity

12:30 PM - 12:40 PM Chairperson's Opening Remarks

Keynote Session

12:40 PM - 1:10 PM Creating a Plan to Effectively Utilize Data and Analytics to Drive Business Return

Allison Sagraves, Chief Data Officer, M&T Bank
The journey to an insight-driven organization requires a thoughtful game plan and high-performing team with diverse skills to execute. Allison will share lessons learned on the field as a Chief Data Officer, using the metaphor of professional sports to highlight strategies for building a winning team. In addition, she will discuss the many ways in which data can generate business value for your firm.

This session will cover topics including:

  • Strategies for building a winning data and analytics team
  • Avoiding “data envy” by making the most out of any amount of data
  • Integration of data and analytics strategies to avoid missed opportunities for business growth

Allison Sagraves

Chief Data Officer
M&T Bank

Plenary Session

1:10 PM - 1:40 PM The Necessity of a Data-Driven Strategy for Survival in a Changing Data Analytics Landscape

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A fundamental change in data and analytics is coming. Companies and even entire industries that do not embrace data analytics as a major part of their business will fall behind their competitors and ultimately fail. In order to avoid this outcome, a data-driven strategy must be adopted and along with it, a culture of data and analytics-centered business decisions must permeate all levels of an organization, from the server room to the board room.

Join this session to cover topics including:
  • What a data-centered strategy looks like at an enterprise company
  • How to change the culture of data science and unite departments under the same strategy
  • Gaining access to a company’s data stores to begin using analytics for actionable decisions

Morning Keynote Session

1:40 PM - 2:10 PM Presented by AI Foundry

2:10 PM - 2:30 PM Networking break with refreshments

2:30 PM - 3:00 PM Business Meeetings

3:00 PM - 3:30 PM Business Meeetings


3:35 PM - 4:20 PM Interfacing Text Analysis and Machine Learning Technologies to Assess and Interpret Customer Feedback and Interactions

Speech-to-text technology has allowed sales and customer service departments to record and transcribe their customer interactions for later review. Text analysis is now using speech-to-text technology and machine learning capabilities to determine qualitative data for these customer interactions. These new processes allow analytics teams to garner useful insights from phone conversations to determine attitude, mood, intent and customer satisfaction.

This session will cover topics including:

  • Integrating text analytics tools
  • Avoiding “false positives” in text analysis
  • Using predictive modelling to evaluate consumer touch points


3:35 PM - 4:20 PM Utilizing Data and Analytics Techniques to Streamline Internal Departments and Processes

(Abstract TBD) Data and analytics are more than just external tools to increase marketing effectiveness or drive revenue. The same tools used to enhance the customer experience can be used to optimize internal processes and elucidate organizational structure. Whether it is to determine where to open a new store, maximize efficiency of logistics or reduce costs through smarter procedures, data analytics can be of great value within a company in addition to the external benefits.

This session will cover topics including:
  • Data analytics in Human Resources to boost satisfaction and retention
  • Streamlining logistics to reduce operating costs across a business
  • Utilizing data analysis techniques in manufacturing industries to enhance safety and quality of product

Presented by LatentView

Plenary Session

4:25 PM - 4:55 PM FINALLY, FAST, SIMPLE DATA DISCOVERY IN THE CLOUD, IN THE DATA CENTER AND IN BETWEEN: For better insights and smarter business decisions

High-velocity, -volume, and -variety data streams challenge analytics organizations as the ability to get critical insights often decays rapidly or becomes lost in the sea of unnecessary information. And as companies are moving more and more of their data—and analytics—to the cloud, it’s become even more difficult to get the fast, actionable insights needed to make more informed decisions.
Traditional analytics architectures struggle to keep up with the data being created at constantly accelerating speeds by people, business transactions, and devices. New breeds of supercharged analytics engines enable organizations to get fast data analysis and insight to make more confident decisions from their data.
In this session, you’ll learn how a broad range of organizations use these new platforms to:
  • Find the right analytics systems for their current analytics architectures and specific performance needs.
  • Dramatically speed analytics by eliminating the reliance on time-consuming data preparation, including indexing and ETL processes.
  • Tap into the power of new, simple-to-use heterogeneous compute systems to use the right tool for each job
  • Transform data analytics from sprawling, complex and cluster-based environments to streamlined ecosystems that fit your needs and provide answers in seconds.

Presented by Ryft

5:00 PM - 5:30 PM Business Meetings

5:30 PM - 6:00 PM Business Meetings

A. The benefits of disruptor technologies - Presented by Satyam Priyadarshy, Halliburton-Landmark
B. Social media analytics to engage the customer – Presented by Swapnil Jadhav, City of Carlsbad
C. Monetizing user data to grow revenue - Presented by Ash Dhupar, Publishers Clearing House
D. Aligning Data science strategy with business strategy – Presented by Assad Shaik, CUNA Mutual

Ash Dhupar

Chief Analytics Officer
Publishers Clearing House

Neil Jadhav

Chief Data Officer
City of Carlsbad

Satyam Priyadarshy

Chief Data Scientist
Halliburton - Landmark

Fabio Italiano

VP, Enterprise Information Management
McGraw Hill Education

Networking Cocktail Reception

7:10 PM - 8:39 PM Networking Cocktail Reception