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Thursday, January 28th, 2016

Day 2

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7:15 AM Networking Breakfast

8:15 AM Chairperson's Opening Remarks

Data and Analytics Organizational/Enterprise Issues: It’s Not Just Governance and Management Anymore: Talent, HR, Strategy, Organizational Design, Strategy, Service Delivery, Sustained Funding and more
8:20 AM The Future of Talent for Data Science and Analytics

Dr. Amy Gershkoff , Chief Data Officer, Zynga

Scott Zoldi , Chief Analytics Officer, FICO

Paul Burton , SVP & Business Leader, Analytics and Research, Genpact

Harsh Tiwari , SVP, Chief Data Officer, CUNA Mutual Group

Scott Hallworth , Chief Data Officer & Chief Model Risk Officer, Capital One Financial

Today Big Data has become foundational to nearly every industry on earth including retail, healthcare, manufacturing, telecommunications, energy, financial services, tourism, advertising, entertainment, and government.  As Big Data has become ubiquitous, the need for data scientists has grown exponentially, with demand far outpacing supply.  However, the educational infrastructure, for the most part, is not presently set up to produce the kind of data scientists needed by most industries: few academic data science programs exist, and those that do predominantly teach rote memorization of data analysis techniques rather than deeper problem-solving skills.  In this talk, I describe how we need to train the workforce differently to set both employees and businesses up for success in the new Era of Big Data.

Dr. Amy Gershkoff
Dr. Amy Gershkoff
Chief Data Officer
Zynga
Scott Zoldi
Scott Zoldi
Chief Analytics Officer
FICO
Paul Burton
SVP & Business Leader, Analytics and Research
Genpact
Harsh Tiwari
SVP, Chief Data Officer
CUNA Mutual Group
Scott Hallworth
Scott Hallworth
Chief Data Officer & Chief Model Risk Officer
Capital One Financial

Please select

9:40 AM Big and Fast Data Analytics - A Fundamental Shift for Enterprise Decision Making

Scott Hallworth , Chief Data Officer & Chief Model Risk Officer, Capital One Financial

We have moved from an information-poor to an information-rich society. Practically unlimited availability of data, computing, networking, and socio-mobile connectivity are fundamentally altering our world. In particular, they are enabling businesses to become more effective and efficient by using big data analytics - collecting all relevant data and automating their processing to drive decision-making. This represents a fundamental shift from traditional business analytics where limited amount of structured data is batch-processed to produce standard Business Intelligence reports. We will assess the current state of big data analytics, technology and business trends, and their enormous implications to the future of all businesses.
 
This session will focus on the following
  • How Big and Fast Data analytics is different from traditional business analytics
  • What businesses are getting out of big data analytics
  • How Big and Fast Data analytics will become critical to every business
  • How you should enter into Big Data analytics or do more of it
With examples using unstructured data, digital data, automated data quality notifications/usages to drive business decision making.

Scott Hallworth
Scott Hallworth
Chief Data Officer & Chief Model Risk Officer
Capital One Financial

Please select

Turning Analytics from Internal to External by Utilizing Analytics as a Client/Customer Service

Doug Hague , Chief Analytics Officer, Bank Of America Merchant Services

A recent (and in some ways not so recent) trend is to transform a core capability around analytics into an Analytical Service that can be sold or provided to a customer.  One hears about A/B Testing capability that can now be purchased; Monte Carlo financial modeling can now be used by an investor to understand the risk and reward of a portfolio; consulting services seem to be popping up every other day. We can all name our favorites.  Data quality, laws, regulations, and organizational structures can all impact our ability to develop and launch this type of service.  In this session, we will walk through some experiences and drive a discussion on what we’ve learned and potential ways to extract further value.
Doug Hague
Chief Analytics Officer
Bank Of America Merchant Services

10:20 AM Human Intuition, Marketing Data, and the Curiosity Algorithm: Forging A New Alliance Between Human and Machine Computing

Ari Tuchman , Co-Founder and CEO, Quantifind

As marketing analytics evolve at a breakneck pace, a new relationship is forming between the computing inside machines and the computing that takes place within the human brain. In particular, human computations involving curiosity and intuition play a vital role in the new partnership between marketers and analytics platforms. Without curiosity and intuition, marketers are stuck with predictive-only models that forecast outcomes without revealing ways to change outcomes, or they're stuck with prescriptive models that tell them what to do without allowing for human exploration of alternatives. Explanatory analytics models take a more holistic approach by tapping into human intuition and curiosity, which leads to smarter decisions and better business results.

This session will provide an introduction to insights gained from the emerging area of intelligence augmentation, including:

  • How a marketers intuition and curiosity can become an integral part of your data and analytics methodology
  • The value of an explanatory analytics approach vs. predictive-only or prescriptive-only approaches
  • Ways to unlock the latent value and usefulness of your existing data sources with an explanatory model
  • Specific case studies in how major brands and campaigns have benefited from an explanatory analytics approach where human curiosity and intuition play a large role.
Ari Tuchman
Co-Founder and CEO
Quantifind

Sponsored by: Quantifind

Quantifind

10:50 AM Networking Break

11:05 AM Business Meetings

11:35 AM Business Meetings

12:05 PM Business Meetings

12:40 PM Networking Lunch

Sponsored by: HG Data

HG Data

1:50 PM Harnessing the Storm Cloud of Big Data

Steve Hanks MBA, PhD , Chief Data Scientist, Whitepages

Big data can be a raging storm, chaotic, noisy, and ultimately unpredictable.  At Whitepages, we’ve been harnessing big data to become a leader in mobile identity data. We believe mobile phone numbers are the global, unique identifier for individuals. Our accurate, real-time data helps businesses mitigate fraud and regulatory compliance risks, enrich contact records and improve call center efficiencies, and block unwanted calls and texts. The exciting challenge of big data is there is always the complexity of the human factor behind it.  That’s why we built the Whitepages Identity Graph - to connect customers’ online behavior to offline behavior; corroborating their relationships so businesses can drive confident and profitable customer decisions.   Join me as we discuss:

•    How big brands, like GameStop, Intuit, and iPayments use our identity data to fight fraud and optimize customer experiences.
•    Why synthesized data wins all day long against any single data source.
•    How to meet the technical challenges of data sourcing, synthesizing, and reasoning for identity verification.
Steve Hanks MBA, PhD
Chief Data Scientist
Whitepages

Sponsored by: Whitepages Pro

Whitepages Pro

2:40 PM Why true CX is more of a 'back-end infrastructure' play than a front-end delivery operation

Paul Rodwick , VP of Product, Qubit

Customer Experience (CX) has ceased to be the business world’s ‘next key battleground’. It’s no longer the big theme of the future. CX management is the #1 priority for CEOs in 2016 according to Gartner. Forrester claims 89% of marketers say they currently compete primarily on their CX. It’s here. We’re in the thick of it.

Any company still merely thinking about CX and not acting upon delivering it has a shortening half life. All this is well documented.

What isn't yet understood well enough is that driving this level of experience is not just about the front-end content delivery suite of tools - but the infrastructure that sits behind it.

True, winning CX starts a long way before customer engagement with everything from an embedded customer culture, data-led insight and an integrated technology platform.

Paul Rodwick, VP Product at leading customer experience technology Qubit will explore:

  • Why, just because you built a data lake doesn’t mean you’ve ‘got’ personalization
  • The architecture and the ‘plumbing’ of a perfect CX platform
  • How you can future proof your business with ease.
Paul Rodwick
VP of Product
Qubit

Sponsored by: Qubit

Qubit

3:30 PM Business Meetings

4:00 PM Business Meetings

4:30 PM Business Meetings

5:00 PM Networking Break

Master Class D

MasterClass D
5:15 PM Current Developments and Trends in Big Data and Analytics in Mexico a Nearshoring Opportunity?

Luis Alberto Muñoz Ubando , Chief Innovation Officer, Grupo Plenum

Vanessa Herrera Gtz. , Director of Business Development, Grupo Plenum

As a result of the massive levels of corporate investment in Mexico post NAFTA, large numbers of engineers are graduating from the regions top schools and entering the corporate arena. Information technology outsourcing is growing fast and is well supported with the adoption of international technical certifications.

Companies wishing to establish innovative IT service operations in Mexico are eligible for incentives that may minimize their initial investment, thus reducing the TCO for operations in Mexico. Those who invest in Mexico’s technology industry get tax credits for R&D, a reduction of corporate taxes and no value-added tax for exported services.

IT firms established in Mexico can receive cash grants of up to 50% of the total cost of their project and tax credit of up to 30% of the total R&D expense.

This session will provide examples how Mexican companies are increasing their technology offerings in education, health, energy, logistics and sustainability.  

Luis Alberto Muñoz Ubando
Chief Innovation Officer
Grupo Plenum
Vanessa Herrera Gtz.
Director of Business Development
Grupo Plenum

Sponsored by: MexicoIT

MexicoIT

Master Class D

MasterClass E
A Roadmap for Optimal Analytics Maturity

Krishnan Venkata , Vice President - West Coast, LatentView Analytics

As one of the largest specialist analytics firms today, LatentView is at the forefront of innovation in the rapidly evolving field of data analytics. Over close to a decade, we have worked with companies at varying stages of the analytics maturity curve, helping them prepare for a digital future. In this session, Krishnan Venkata will lean on the collective experience of the organization and its clients, to lay out the optimal structure, skills, data sources and business problems that can be addressed at different stages of maturity.
Krishnan Venkata
Vice President - West Coast
LatentView Analytics

Sponsored by: LatentView

LatentView

6:05 PM Protecting Your Analytics Initiatives and Avoiding the Data Dilemma

Todd Hinton , VP of Product Strategy, RedPoint Global

Finding new ways to leverage existing data is critical to maintain competitiveness. However, trying to constantly extract value from your data while simultaneously maintaining its quality across the enterprise is a challenge in today’s big data environment. We will facilitate a discussion around data challenges, including:

  • Common data challenges and how to avoid impact on your analytics initiatives
  • Best practices executing data management processes that drive solid analytics  
  • Ways data quality impacts data governance and how to avoid pitfalls
  • Building better and deeper relationships with your customers
  • Overcoming common pitfalls that can occur when mastering your data

Todd Hinton
VP of Product Strategy
RedPoint Global

Sponsored by: RedPoint

RedPoint

6:05 PM How Machine Learning Will Help Your Business  

Chris Van Pelt , Founder & CTO, Crowdflower

With machine learning becoming an increasingly vital part of successful businesses, more and more companies are looking to build out their ML operations. Chris will lead a roundtable focusing on some of the best practices he’s seen working with companies like Thompson Reuters, Uber, Bloomberg, Air BnB, and more. The discussion will directly inform how you can apply those processes to smartly build the machine learning practice at your organization.
Chris Van Pelt
Founder & CTO
Crowdflower

Sponsored by: CrowdFlower

Crowdflower

6:05 PM Operational Efficiency in Analytics: a Systems View

Sanjay Joshi , CTO Healthcare and Life Sciences, Emerging Technologies Division, EMC

John Mallory , CTO Analytics, Emerging Technologies Division, EMC

From the definition of “therblig” after WWI for movement analysis, to the Office of Statistical Control headed by Robert McNamara during WWII, to the creation of PDCA (Plan, Do, Study, Act) by W. Edwards Deming, we have evolved the process for creating operational efficiency using Statistical Process Control (SPC) at scale.

Mr. Joshi will take these concepts and use systems thinking techniques to address operational efficiency in the fast-evolving areas of analytical architectures and its computational in-memory landscape, along with the ever growing need for stable and scal­able storage architectures with a special focus on Healthcare and Life Sciences.
Sanjay Joshi
CTO Healthcare and Life Sciences, Emerging Technologies Division
EMC
John Mallory
CTO Analytics, Emerging Technologies Division
EMC

Sponsored by: EMC Corporation

6:05 PM Breaking down the silos of data and analytics

Southard Jones , VP Product Strategy, Birst

BI and Analytics have been a top spending priority of CIOs for over 10 years, yet these investment have not solved one of the core challenges of enterprise data and BI, silos.  These silos of data, platforms and desktop tools have created inconsistencies and trust issues that prevent the business from realizing the potential value of their data.  It has also increased the risk, expense, and rigidity of BI, leading to rogue programs and the proliferation of even more silos across the organization.  CIOs are now facing critical decisions about supporting two increasingly divergent ends of a spectrum: agile, decentralized discovery - or governed, trusted, centralized BI.  However, leading CIOs are taking a completely revolutionary approach to BI that delivers the benefits of both approaches while fitting within the existing data, systems and tools infrastructure of the business.

In this session, you will learn how IT and Analytics leaders are creating a network of data across their enterprise, enabling executives and business users to make trusted, governed data-driven decisions, within and across departments, while actually decreasing spend in their overall BI and Analytics program.
Southard Jones
VP Product Strategy
Birst

Sponsored by: Birst

Birst

6:05 PM Achieve Growth and First-Mover Advantage with Anticipatory Analytics

Nipa Basu , Chief Analytic Officer, Dun & Bradstreet

Big Data, advances in Analytic methodologies, and disruptive technologies are enabling new kinds of Analytics - Anticipatory Analytics.  

Join us for wine and appetizers as we engage the group in a discussion and share best practices on this emerging area of Analytic Science. More traditional Predictive Analytics extrapolate from historical data and past trends and the predictions are usually correct--as long as the trend continues. Anticipatory Analytics identify the trajectory, inflection or departure points long before trends are obvious.

Our discussion will build from understanding your business challenges to help you uncover:

•    Situations where Anticipatory Analytics can create unprecedented growth to create a first-mover advantage
•    Actions your businesses can take - to leverage these new capabilities
•    Ways in which you, the CAO / CDO (or other Analytic experts on your team) can influence your business partners (in marketing, sales, risk management) to take those actions.

Nipa Basu
Chief Analytic Officer
Dun & Bradstreet

Sponsored by: Dun & Bradstreet

Dun & Bradstreet

6:05 PM The Convergence of Lean and Enterprise Data Management (EDM)

Pierric Paquit , Director, Partner, Amaris

Terry Jabali , Practice Head - Enterprise Data Management (EDM), Amaris

Organizations continue to face challenges with streamlining Lean practices into Enterprise Data Management including MDM, Data Quality, Data Governance, and Metadata Management across disparate systems. We will examine ways to integrate above in an orchestrated framework with congruency instead of conflict.

Key take-ways:
•    Review best practices in Lean and EDM per subject area
•    Provide use case and lessons learned
•    Blueprint for success
Pierric Paquit
Director, Partner
Amaris
Terry Jabali
Practice Head - Enterprise Data Management (EDM)
Amaris

Sponsored by: Amaris

Amaris

7:05 PM Cocktail Reception

7:35 PM Networking Dinner