Day 2: Monday, January 27th

8:00 am - 8:30 am Networking Breakfast

8:30 am - 8:35 am Chairperson’s Opening Remarks

8:35 am - 9:05 am Revving Up for the DevOps Revolutions in Data & Analytics

 The Ford Motor Company is in the midst of its journey towards becoming an industry leader in the application of advanced analytics to leverage new, mobility-centered operating models and drive long-term growth. The sheer scale and complexity of mobility-related data and analytics initiatives necessitates that traditional lines between data analysts and software engineers be redrawn to encourage agility and innovation. Kevin Cooper, Director of Emerging Analytics at Ford, will offer insight into how the analytics practice is beginning to converge with Dev-Ops methodologies to supercharge product development pipelines while optimizing resource utilization.
Join this session to discover more concerning:
·         identifying and measuring key components needed to produce a minimal viable product
·         conceptualizing strategies to accelerate and optimize production cycles through close collaboration between data scientists and developers
·         how cloud-based architecture and augmented connectivity supports agile development 

9:35 am - 10:05 am From Black Box to Fish Tank: Explainable AI

As organizations from all industry sectors begin to utilize AI in their business processes, the ability for AI models to explain how and why they arrived at a particular conclusion is emerging as a key requirement. In this talk we will be discussing explainable AI (XAI). We will address some of the drivers across different industry segments, survey the current “state of the art” in explainable AI, and show how XAI needs to be understood in the broader context of Data and Analytics governance. 

9:35 am - 10:05 am Winning Hearts & Minds: How Signet Jewelers is Bridging the Gap Between IT & Non-IT Functions on the “Path to Brilliance”

Signet Jewelers has embarked on a multi-year initiative to integrate advanced analytics and self-service BI into its operating model as a means of driving efficacies and fostering customer engagement. Brian Strickland, Vice President, Enterprise Analytics, will present an overview of how IT executives are gaining buy-in from across the organization through the development of a cross-functional, multi-layered Data Governance Committee as well as an Analytics Center of Excellence (ACOE.)
Additionally, gain insight into:
*identifying strategies to develop data and analytics ambassadors  outside of the IT department
*how Signet has leveraged analytics to optimize omnichannel growth
*leveraging analytics to better understand purchase-drivers in a digital sales ecosystem
*finding the balance between control and freedom when crafting your org’s data governance model

10:05 am - 10:35 am Latest Market Trends & Innovations

10:05 am - 10:20 am Networking Break

10:35 am - 11:05 am Business Meetings

11:05 am - 11:35 am Business Meetings

11:35 am - 12:05 pm Business Meetings

12:20 pm - 1:20 pm Networking Lunch

1:20 pm - 2:20 pm Practitioner Roundtable Discussions

Earlier in the Exchange, we collected your insights and challenges in the data and analytic space using the Thoughtexchange social learning tool. During this follow-up session, you’ll have dedicated time to sit with your peers and develop an action plan to improve data and analytics operations.

2:20 pm - 2:50 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.


2:55 pm - 3:40 pm Introducing the Networked Organization: A Modern Approach to BI & Analytics
Organizations shouldn’t operate like a collection of fragmented business functions. Chief Data Officers have the opportunity to drive alignment by empowering teams to work in an interconnected fashion. An emerging model for BI and analytics, known as Networked BI, can become the technology foundation CDO’s need to connect centralized and decentralized teams, applications, and data across the enterprise.


2:55 pm - 3:40 pm Powering the Data Economy: Persistent Memory Servers & Emerging Concepts in Storage Architecture
According to Gartner, Over 60% of machine learning models developed with the intention of operationalization were never actually operationalized. 
In today's dynamic and competitive business environment, enterprises need to accelerate innovation and deliver faster time-to-value for their AI initiatives.
In order to do this, Data Science teams need easy access to a wide variety of ML/AI development tools, secured access to various enterprise data sources, and a repeatable standardized process to build, train, deploy and monitor models in production.
In this Masterclass, Victor Ghadban, Field CTO at Hewlett Packard Enterprise will discuss key considerations in terms of technology, organizational structure and best practices for success in your ML/AI journey.

3:45 pm - 4:25 pm Scale Your Data Science Practice with Automation

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.

4:15 pm - 4:30 pm Networking Break

4:30 pm - 5:00 pm Business Meetings

5:00 pm - 5:30 pm Business Meetings

5:30 pm - 6:00 pm Business Meetings

4:00 pm - 4:40 pm Panel Discussion: Driving Organizational Alignment to Identify Innovative, Data-Driven Operating Models

6:40 pm - 7:10 pm Cocktail Reception