2018 San Jose Teradata Innovation Forum

March 13, 2018

Join us March 13 in San Jose for the Teradata Innovation Forum for peer networking, product updates and insightful sessions from both Teradata experts and Teradata customers. This complimentary event is also a great opportunity to share feedback on products with Teradata product owners, as well as discuss product features.

Key themes in 2018:
  • Teradata Analytics Platform
  • Artificial Intelligence and Think Big Analytics Services
  • Teradata IntelliSphere
  • Time Series Analytics

Learn from customer speakers:

  • LinkedIn Corporation: “Using GDPR Compliance for Competitive Advantage,” Jon Adams, Senior Privacy Counsel
  • Wells Fargo: “Multi-Genre Analytics in Aster: Applications at Wells Fargo,” Gary Class, Senior Vice President

Plus, stay an extra day to attend the Data Science Workshop on March 14! This workshop is designed to give data scientists, business analysts and technical programmers a “day in the life of a data scientist” experience. Learn more here.

Micro Focus 
The GlassHouse - 
2 South Market Street 
San Jose, CA 95113
Forum Schedule:     
Registration and Breakfast   8:00am - 8:45am  
Meeting   8:45am - 4:00pm
Networking Reception   4:00pm - 6:00pm


Stephen Brobst   Stephen Brobst – Chief Technology Officer, Teradata

Stephen Brobst is the Chief Technology Officer for Teradata Corporation. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. Stephen is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. During Barack Obama's first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). He was recently ranked by ExecRank as the #4 CTO in the United States (behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.
Program Agenda
March 13, 2018
8:00 - 8:45am    Breakfast / Networking
8:45 - 9:00am Welcome 
9:00 - 9:30am   The Teradata Analytics Platform
    The Teradata Analytics Platform is a modern analytics platform that combines open source and commercial analytic technology to enable autonomous decision-making. Attendees can expect to learn about the algorithmic capabilities in this platform and how a variety of data science tools and languages can be natively deployed to implement analytics with real life examples of use case implementations. The session will also focus on how analytic insights can be operationalized at scale on all data and the underlying architecture that supports these capabilities.

Speaker: Sri Raghavan (Senior Product Marketing Manager)
 9:30 - 10:00am   Driving Real Business Outcomes from Artificial Intelligence
    Artificial intelligence (AI) is already ubiquitous in daily life, performing many small tasks that we now take for granted, from helping tag our friends in photos to helping us remember to get milk when we're ordering groceries online. It's increasingly becoming more ingrained in the business world as well. In fact, early enterprise AI adopters are demonstrating these early high-impact business outcomes in narrow, well-defined use cases. Most organizations are still trying to understand where best to apply AI and concerned with the feasibility of taking on an AI initiative.

Speaker: Nick Switanek (Marketing Director for Artificial Intelligence)
10:00 - 10:30am   Wells Fargo Customer Presentation: Multi-Genre Analytics in Aster: Applications at Wells Fargo

After a discussion of the Teradata & Aster UDA environment at Wells Fargo, Mr. Class will relate the business value of a number of strategic analytical projects in retail banking supported by analytical operations in Aster, including: entity resolution via text matching, social network analysis using AsterGraph and behavioral customer segmentation using Hidden Markov Models, supported by Aster. The focus of the talk will be on the business value created by Multi-genre Analytics: Mr. Class will introduce the context of the business problem, the Aster analytical solution selected to address the problem (at a high-level) and the lessons learned from implementing the appropriate Aster analytical operation – often in combination. Learn how Wells Fargo is pursuing “Customer Journey Analysis” via the Aster App Center and the utilization of a full suite of Teradata solutions (including Customer Interaction Manager) to help its customers manage their financial lives via whichever banking channel they choose to use whenever they choose to use it.

Speaker: Gary Class (Senior Vice President)

10:30 - 10:45am    Break
10:45 - 11:15am   Time Series Analytics

This session will highlight the 16.20 capability to store, manage, and analyze time series data. We have introduced two major innovations for time series: 1) a new primary index to aid distribution and management and 2) we have made our aggregate functions time aware to allow for quick and easy manipulation and analysis for all diverse types of time-related data. By integrating these features at the database level, you can also leverage this with other analytics such as geospatial or temporal or even with data brought in via querygrid. Learn how you can create new business insights by incorporating time series into your analytic environment.

Speaker: Rob Armstrong (Senior Technologist)

11:15 - 11:45am   AWS Gold Sponsor Presentation
11:45 - 12:30pm   Networking Lunch
12:30 – 1:15pm   Keynote: Autonomous Decision-Making, Machine Learning, and Artificial Intelligence: What Does It All Mean and Why Should You Care?

We have entered a new era of analytics with machine learning and artificial intelligence algorithms beginning to deliver on the long-promised advancement into self-learning systems.  These approaches allow us to solve previously intractable problems with completely new attack plans.  The appetite of deep learning algorithms for vast amounts of data and the ability to derive intelligence from diverse sets of noisy data allows us to go far beyond previously capabilities in what we used to call advanced analytics.  However, to be successful we need to understand the capabilities and limitations of the new technologies.  We also need to develop new skill sets in order to harness the power of deep learning to create business value in an enterprise.

  • Learn about the future of artificial intelligence and how you can take advantage of emerging capabilities today.
  • Learn about the differences between deep learning and shallow learning and when to apply which technique.
  • Learn about the ThinkDeep framework for automating the generation and deployment of models for machine learning and deep learning.

Speaker: Stephen Brobst (Chief Technology Officer)

1:15 - 2:00pm   Roundtables with Product Managers
2:00 - 2:15pm   Break
2:15 – 2:45pm   LinkedIn Corporation Presentation: Using GDPR Compliance for Competitive Advantage

The General Data Protection Regulation (GDPR) comes into effect on May 25, 2018, and is reshaping how Europe and the rest of the world approach data protection. Many commentators have highlighted the potentially significant compliance burdens arising under the GDPR--along with the possibility of immense fines for organizations that fail to meet the law's requirements--but relatively little attention has been paid to the significant business advantages that can come with embracing the GDPR's approach to data protection.

Why is this? In short, many see the GDPR as, to borrow a phrase, "highly disruptive," and the burden of the disruption is easier than the potential upside to conceptualize.  The administrative and operational requirements under the GDPR are well-publicized and fairly concrete, and accounting for the costs of related changes may be simpler. Hiring a data protection officer, ensuring that data subject rights can be effectively exercised, updating contracts, and all of the various components of building a GDPR compliance program are all laid out in the text of the regulation (albeit in fairly broad language).  Research published in June suggests that many companies were slowly beginning to build or purchase compliance tools, and 83 percent of organizations expect to spend $100,000+ on compliance (and 17 percent expecting to spend $1,000,000+, and some companies expecting to pay as much as $48 million).

If these costs and operational changes result only in legal risk mitigation, the GDPR can rightfully be seen as a headache.  But, viewed differently (and more positively), the GDPR presents a tremendous opportunity for organizations to demonstrate their commitment to data protection and, as a result, improve their ability to offer services in the EU and to support customers' data protection needs.  This presentation will explore how, by building a scalable, data-driven approach to addressing GDPR requirements, organizations can solve age-old business problems while enhancing their brand. First, organizations can unlock efficiencies in their data management: in organizing and labeling personal data in an effective manner, organizations can respond more effectively (and cost efficiently) to data subject requests while also deriving new insights into the data they hold. Second, building a scalable solution that enables communication between organizations and database systems supports the ability of an organization to facilitate customer and service provider interactions in a more efficient and meaningful way: by enabling the ability to communicate data subject requests smoothly through APIs and other means, organizations can help their business partners reduce their overall compliance burden and strengthen their relationships. Finally, the GDPR offers organizations the ability to define their practices against a new gold standard: while mere compliance will reduce the risk of regulatory inquiry, building top-notch solutions may win plaudits from customers and the press.

Speaker: Jon Adams (Senior Privacy Counsel)

2:45 – 3:15pm   Net App Gold Sponsor Presentation


3:15 – 3:45pm   Teradata Velocity Services Portfolio – A Guide to Using the Right Services for the Right Job Drill Down on Teradata in Analytical Ecosystems

Velocity is Teradata’s Global Services portfolio of high value offers to help companies at any stage of their analytics journey, from advising on analytic strategies and developing analytic roadmaps, to architecting and implementing diverse analytical ecosystems, to optimizing and managing the environment to ensure maximum business value realization.  But with such a broad and deep set of services available, how do you zero in on the right mix of services from Teradata Global Services, while assembling the optimal team that combines Teradata’s leading practices and IP with the in-depth knowledge your team has developed of your unique environment and objectives?  This session will introduce the Velocity portfolio and review real-world examples of Velocity service delivery in action. Learn how Teradata fits within modern analytic architectures, and how companies can blend Teradata Everywhere and IntelliSphere to achieve their desired business outcomes. Get the latest information on how IntelliSphere becomes a key enabler in today’s ecosystems, providing the capabilities to ingest, access, deploy, and manage the Analytical Ecosystem.

Speaker: Rich Klein (Teradata Global Services and Velocity Portfolio Marketing Lead)

3:45 – 4:00pm   Closing Remarks
4:00 – 6:00pm   Roundtables with Product Managers/Networking