IBM Digital Experience Live Demo: Integrating Cognitive Services

Speakers Industry
ASP–1149: Digital Experiences Live: Demonstrations of
How to Integrate Your Cognitive World!
Sessions Architecture solutions and patterns
Breakout Session
, 01:00 PM – 01:45 PM
How do you tie together all of IBM's new, cloud-based cognitive services? In this action-
packed live demonstration session, you will see how the IBM Digital Experience allows
companies to create customized digital experiences using cloud-based services that
reinvent the way they engage with their most important audiences: customers and
employees. The demonstrations highlight how the IBM Digital Experience can be the
integration point for all your company's needs. You'll see how to use IBM's Commerce,
Watson, Bluemix, Cloud Cognitive Services, IBM Forms, Mobile and Collaboration
Software solutions to make better decisions and build customer loyalty, through different
live industry demonstrations for healthcare, insurance, retail and more.
ASP–1198: A Demonstration of Heterogeneous Data
27 October 2016

Mark A. Neumann, IBM
Bryan S. Daniel, IBM
Not Industry Speciﬁc
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
1 of 27 9/26/2016 12:41 PM

Speakers Industry
Integration Using a Hybrid Cloud Data Lake
Breakout Session
, 09:00 AM – 09:45 AM
This session will demonstrate heterogeneous data integration using a hybrid cloud data
lake. The live demo use case is to support a bank’s marketing group. The marketing
group is trying to target customers who are good candidates for refinancing and home
loans. This session will illustrate and discuss best practices on the following topics:
hybrid cloud implementation; heterogeneous data reservoirs; metadata management
and governance; profiling/data quality; security and privacy; data integration topologies;
Data Citizen self-service provisioning; visualization and predictive analysis; advanced
analytics and modeling; and reporting dashboards.
ASP–1235: Successfully Architecting Cognitive
Capabilities into the Fabric of a Cognitive Business
Breakout Session
, 05:00 PM – 05:45 PM
This presentation will describe a realized solution framework and architecture that
provides the flexibility and agility to incorporate both on-premise and cloud-based
cognitive capabilities into the fabric of insurance and financial services business
processes, including sales and marketing, from various distribution channels or systems
of engagement. The discussion will include methods to adopt and embrace new analytic
24 October 2016

Barry Rosen, IBM
Christopher Giardina, IBM
Russell Anderson, IBM
Banking
24 October 2016

2 of 27 9/26/2016 12:41 PM

Speakers Industry
and cognitive capabilities and technologies incrementally over time, with minimal
disruption, in a hybrid cloud environment. Aspects of the conversation will also include
quality, security, and speed of information and services.
Speaker Industry
ASP–1283: Big Data and Analytics in a Cognitive Era
Breakout Session
, 10:00 AM – 10:45 AM
Building a cognitive enterprise is a journey. This talk will ﬁrst explain how analytics and
cognitive are related to and different from each other. Next, it will discuss the three steps
to achieve the ultimate Cognitive Enterprise: 1) Expand the aperture of data and access
to data. Acquire all data (enterprise, third-party and public open data). Build data lake(s).
Break data silos. Provide management and governance and hence access to data for all
users; 2) Build a strong analytics and cognitive foundation. IBM has full capabilities to
support our clients; and 3) Empower all personas with analytics and cognitive
capabilities. Enable self-service and collaboration. Embed cognitive in the lifecycle of
analytics.
ASP–1404: Think You Know What Insurers are Doing with
Internet of Things Sensors?
Beth Ackerman, IBM
Bill Mathews, IBM
Insurance - General
26 October 2016

Christine Ouyang, IBM Not Industry Speciﬁc
3 of 27 9/26/2016 12:41 PM

Speakers Industry
Breakout Session
, 02:00 PM – 02:45 PM
Telematics is so yesterday. Today we can not only sensor-enable vehicles, but also
homes, buildings and, yes, people! This session will describe a use case and the
proposed architectural ecosystem that allows an insurer to leverage real-time sensor
data collection and analytics in the cloud to provide insight and notiﬁcations to help
proactively manage human safety; i.e. protecting people. The services and capabilities
provided are to be delivered in real-time, while feeding a hybrid cloud data lake to drive
analytics, reporting and deeper insight across the sensor and customer data.
25 October 2016

Beth Ackerman, IBM
Bill Mathews, IBM
Insurance - General
4 of 27 9/26/2016 12:41 PM

Speakers Industry
ASP–1419: Data Lake at ING: The Real Story Behind the
"Marchitecture" and the Rollout
Breakout Session
, 01:00 PM – 01:45 PM
For the last three years, a small team within ING has been active in creating a data lake
architecture together with IBM: creating awareness in the organization, selling the dream,
pleading for money, and convincing 40+ countries that we need a data lake, and data
governance, and that we need to do it together. Now, three years down the road, we have
one build, rolled out to multiple countries, and have our ﬁrst end-to-end processes live.
But it has not been an easy road. This presentation will go into the day-to-day
challenges of building a data lake, setting up data governance, struggling with
technology, and selling the story many times over to get the money to take on this
massive task.
ASP–1620: How Mobifone Built an Advanced Analytics
Platform for Targeted Marketing
Breakout Session
, 04:00 PM – 04:45 PM
Mobifone, a large mobile telecommunication provider in Vietnam, has rapidly moved
forward into big data analytics. Mobifone is using advanced analytics to reach
customers in innovative ways, and is realizing value from its big data investments. The
24 October 2016
Ferd Scheepers, ING
Alex Buijsman, ING
Banking
25 October 2016

5 of 27 9/26/2016 12:41 PM

Speakers Industry
discussion will include lessons learned from building a big data platform, and how to
plan for and build an advanced analytics team.
Speakers Industry
ASP–1622: Overcome the Barriers of Cross-Platform
Analysis for High Impact
Breakout Session
, 01:00 PM – 01:45 PM
This presentation shows how IBM and open source components can work together to
create a sophisticated big data analytical platform. Big data is being stored in many
locations, not just single data warehouses. Certain technologies are better at storing and
analyzing certain types of data: text in some, structured data in others. These storage
technologies are not directly compatible, creating barriers to cross-platform analysis.
The presentation will cover Hadoop, Fluid Query, Spark, the R programming language,
and other technologies for deep analytics and how to integrate them.
ASP–1662: Navigating the Data Lake with a Business
User Focused Glossary
Tommy EUNICE, IBM
Kim Nguyen, ITT
Telecommunications
27 October 2016

Tommy EUNICE, IBM
Hien Ha, ITT
6 of 27 9/26/2016 12:41 PM

Speakers Industry
Breakout Session
, 08:00 AM – 08:45 AM
As more organizations build out their data lake infrastructure, it is becoming clear that
one key challenge that must be addressed is how to ensure maximum engagement with
the data lake assets by the various business users. This session will focus on the
practical approaches and considerations around building a glossary that provides the
basis for self-service access to the data lake by business users. What are the beneﬁts of
a standard, business-meaningful glossary? What is the appropriate level of detail to
include in such a glossary? How best to accommodate the often conﬂicting
requirements of keeping the glossary truly business-meaningful, and also provide the
basis for enterprise-wide understanding, governance and data security?
26 October 2016

Patrick O'Sullivan, IBM
Mike Nicpan, ING
Banking
7 of 27 9/26/2016 12:41 PM

Speakers Industry
ASP–1676: Accelerate Your Testing by Enabling Test Data
Mining
Breakout Session
, 04:00 PM – 04:45 PM
This session will share practical ways to unlock the value of data that is available in your
test systems. Attendees will understand how to connect data items together from
multiple platforms to provide new insights into the needs of quality assurance teams.
The discussion will cover how to enable business or technical users to mine data with
terms they are already familiar with. Attendees will also hear about State Farm's journey
from initial need to the development of an enterprise-class data mining system.
ASP–1930: Architectural Considerations for Using and
Applying Advanced Analytics for Non-Traditional
End-Users
Breakout Session
, 03:00 PM – 03:45 PM
Everything around us is becoming more instrumented, and this applies to all of the areas
where we work, sleep, and play. Whether responding to violence, chemical spills, severe
storms, explosions or ﬁre, ﬁrst responders are required to readily digest information from
a broad ecosystem of data. First responders are not always in a position to use a
26 October 2016
Steven Beatty, State Farm Insurance
Company

Mark Moncelle, State Farm Insurance
25 October 2016

8 of 27 9/26/2016 12:41 PM

Speakers Industry
traditional user interface (laptop, tablet, smartphone). Whether incidents are occurring in
dense urban areas or in highly remote rural regions, they still need access to advanced
analytics, deep learning, and cognitive analytics in order to secure and save lives.
Speakers Industry
ASP–2012: Blending Outputs from Multiple APIs for
Advanced Architectures
Breakout Session
, 10:00 AM – 10:45 AM
Voice transmissions can operate on different frequencies based on a smartphone’s
attached network. Megahertz is a key contributor to voice transmission quality, whether
in a studio, an ofﬁce, a car, or out in the open. Other quality impacts can include the
microphone and the individual's proximity to the equipment. When using speech-to-text
as part of a mission-critical system, the need to address variability of quality and
intelligibility of what is transmitted cannot be overstated. To address erratic quality
issues, Mer adopted a baseline comparative tooling algorithm with a blend of Bluemix
and Watson APIs along with open source APIs. It then created an advanced, mission-
critical system to help improve the quality of transcribed data.
ASP–2015: Analytics on the Edge: Advanced
Neal Fishman, IBM
Kevin Coyne, West Safety Services
Government
26 October 2016

Ariel Cohen, Mer Group
Government
9 of 27 9/26/2016 12:41 PM

Speakers Industry
Architectures for Low-Latency Analytics
Breakout Session
, 11:00 AM – 11:45 AM
Placing advanced analytics and cognitive capabilities on edge nodes has become an
imperative for deriving insights for ultra low-latency use cases. This presentation will
cover the architectural considerations for establishing analytics on an edge note, as well
as analytical considerations on edge nodes that are used as a part of a hybrid cloud
implementation.
24 October 2016

David Gross, Global Wireless Technologies
LLC

Government
10 of 27 9/26/2016 12:41 PM

Speakers Industry
ASP–2016: Advancing Analytics through Data Sharing
and Culture
Breakout Session
, 01:00 PM – 01:45 PM
The Centers for Disease Control is by design a heavily distributed organization. (There is
a reason that "Centers" is plural.) In this era of big/fast data, visualization and dynamic
infrastructure (cloud technology), it is important to architect ﬂexible and sustainable
environments that bring together people, process and technology in innovative ways to
curate and use public health data, information and knowledge. This session focuses on
how other organizations might beneﬁt from pragmatic initiatives to advance insight within
a complex organizational structure.
ASP–2021: Discovered Data Risk—A Key Consideration
When Dealing with Organizational Insights
Breakout Session
, 08:00 AM – 08:45 AM
The use of advanced and cognitive analytics can go a long way in helping you and your
organization know more. But... can you know too much? Can knowing what you've
uncovered establish an implied contract or obligation for action on your part? The
modern data sharing ecosystem means that we’ve entered the next stage of the
Information Age, and with that comes a new slew of ethical considerations. This session
25 October 2016
Melvin Crum, CDC
Government
24 October 2016

11 of 27 9/26/2016 12:41 PM

Speakers Industry
explores ethics from an organizational aspect of duty. What if you know someone isn’t
where they say they are? What if you know that you should intervene to help protect the
health of an individual? What ethical considerations must you consider: personally,
departmentally and organizationally?
Speakers Industry
ASP–2035: Hybrid Cloud Secure Data Lake Deployment
in Under Four Hours: Massive Automation Changes the
Game
Breakout Session
, 12:00 PM – 12:45 PM
Break through the cost and complexity of securely installing and configuring multiple
products on any cloud or on-premise. The Cloud Installer developed by the IBM Big
Data Architecture Group and Services Center Of Excellence (COE) enables the
installation of analytics products, components and services, with encryption on the wire
and at rest. The Cloud Installer greatly simplifies and speeds up the entire installation
process, resulting in great cost savings and enhanced quality of the final environment.
Don't waste months trying to do it all on your own and/or trying to engage and line up all
the right experts. Do it fast and easy with the Cloud Installer.
Pamela Lomax, State of Massachusetts,
Office of the State Auditor

Government
24 October 2016

Julius Lerm, IBM
Eunsin Kim, IBM
Information Technology
12 of 27 9/26/2016 12:41 PM

Speakers Industry
ASP–2036: IBM Analytics Cloud Services: A Strategic
Brieﬁng for Business Partners
Theater Session
, 06:00 PM – 06:20 PM
Come get an overview of IBM Analytics Services overall strategy to support the cloud
market. Hear how we work with our strategic offerings, partner enablement programs,
cloud services solutions and offerings and key Services management team contacts.
Topics include: Analytics Services strategy for SaaS and cloud solutions, by
engagement model; offerings overview; standard (pre-packaged, ﬁxed requirements)
and custom/hybrid (complex requirements) SaaS and cloud solutions; Strategic Partner
Enablement for cloud and foundational technologies deployed on cloud; and Strategic
Partner Field Support (contacts/go-to people).
ASP–2042: It's Raining Insights: Advanced,
Behavior-Based Customer Insights in the Cloud
Breakout Session
, 10:00 AM – 10:45 AM
This session presents advanced enterprise architecture patterns and explores how a
client successfully leveraged IBM Behavior Based Customer Insight in a managed hybrid
cloud environment. Learn from one of IBM's leading practitioners on lessons learned
25 October 2016

Jerry Hemenway, IBM
Kevin Zachary, IBM
Timothy Davis, IBM
Services
27 October 2016

13 of 27 9/26/2016 12:41 PM

Speakers Industry
from the ﬁeld and how to have a high impact on your business.
Speakers Industry
ASP–2067: Advanced Enterprise Architecture Hybrid
Cloud Data Lake with Hadoop, HA and DR
Breakout Session
, 03:00 PM – 03:45 PM
This session provides an overview of the technologies and techniques used to enable
high availability and disaster recovery in a cloud-based data lake. The techniques
discussed here can be leveraged to HA- and DR-enable IBM BigInsights in the cloud or
on-premise. We will review requirements and different approaches, explaining the
architecture, issues and testing approaches. This is a deep-dive session on real-world
production deployments: how to do it and how to be successful. Hear from IBM's top
practitioners in the ﬁeld.
ASP–2137: Using Open Metadata to Drive Better Data
Science Projects
Sandra L. Tucker, IBM
Asim Aziz, Advanced Global Resources
24 October 2016

Michael RULAND, IBM
Richard E. Harken, IBM
Bob Johnston, IBM
14 of 27 9/26/2016 12:41 PM

Speakers Industry
Breakout Session
, 09:00 AM – 09:45 AM
Finding data has become a time-consuming and costly task taking up to 70% of a
project's resources. But when good metadata is available, the data it describes can be
rapidly located and assessed for applications and analytics. An open source project
called Apache Atlas was recently approved as an incubator project to provide an open
metadata repository and information governance frameworks. This offers an
opportunity to rethink the way we manage data in data science projects. We will cover:
How metadata management must change for the world of big data, social media, IoT
and the legacy systems still in use; the value that an open source project providing
metadata management and governance brings to data science; and the mechanisms
involved.
ASP–2274: Using Cloud Data Integration and
Governance for Hybrid IT Analytics
Breakout Session
, 05:00 PM – 05:45 PM
Enterprises adopt cloud services as part of their business strategy, creating hybrid IT
environments. A hybrid cloud approach for analytics adds complexities for managing
information assets and information governance. The increased complexity covers
aspects like data movement between on-premise and cloud, regulatory compliance,
data protection and privacy. This session offers an overview of IBM’s hybrid cloud
approach to deliver information management functionality anywhere in the enterprise
26 October 2016

S. Lockwood, IBM
Mandy Chessell, IBM
Banking
24 October 2016

15 of 27 9/26/2016 12:41 PM

Speakers Industry
that is seamlessly governed end-to-end. Examples include IBM DataWorks, DataLift,
etc. to move and govern data between on-premise data lakes and Watson Analytics, or
between cloud-based social customer analytics on Twitter data and on-premise MDM.
Speakers Industry
ASP–2280: Modern Data Warehouse Solution Patterns:
Deployment Case Study at a Large Telco
Breakout Session
, 05:00 PM – 05:45 PM
Data warehouses are evolving fast and need to support the volume, velocity and variety
of big data. Many customers are overwhelmed by the ﬂood of data and are currently
using data warehouse solutions that simply cannot keep up. In this session, we will walk
through the expectations for a modern data warehouse and the challenges faced by
current data warehouse solutions, as well as big data architecture, data warehouse
solution patterns and provisioning aspects. The session will also go into details of actual
implementation, challenges, approach and lessons learned from a large telco customer
for whom IBM has implemented a modern data warehouse.
ASP–2335: Advanced Analytic Insights with
Martin Oberhofer, IBM
Scott Schumacher, IBM
25 October 2016

Yvonne Watson, IBM
Ramesh Raghupathy, IBM
Nasir Ansari, Vodafone India Limited
16 of 27 9/26/2016 12:41 PM

Speakers Industry
Unstructured Content on a Hybrid Cloud Secure Data
Lake
Breakout Session
, 09:00 AM – 09:45 AM
Unstructured content has unlimited depth in providing insights critical to businesses for
exploring and discovering details when making informed decisions. By including
unstructured content in a data lake, you have the opportunity to gain comprehensive
analytics to every aspect of information already available in your organization's content
repositories. Integrating the capabilities of intelligent content capture, text analytics, and
data insights, you will be able to extract information that can be analyzed, aggregated,
joined, ﬁltered and managed—all within a data lake environment. Learn from top
practitioners the advanced methods for integration of structured and unstructured data
in your data lake.
ASP–2438: Identifying Actionable Motivators: An
Approach to Developing Specialized Analytical
Algorithms
Breakout Session
, 02:00 PM – 02:45 PM
The presentation follows a healthcare use case to demonstrate how enriching data from
data aggregators can improve analytical insights for an organization. The solution
27 October 2016

Yvonne Watson, IBM
Nilanjan Sengupta, IBM
Ali P. Arsanjani, IBM
24 October 2016

17 of 27 9/26/2016 12:41 PM

Speakers Industry
architecture shows how organizations can balance business-side drivers for cost
savings and revenue generation to discover actionable data. The method and approach
illustrate how to think further outside the box, to achieve positive results with big data
and cognitive analytics. Advanced architectures and methods will be discussed.
ASP–2461: Hybrid Cloud Secure Data Lake: Data
Transfers and Advanced Security for Moving Your
Sensitive Data
Breakout Session
, 10:00 AM – 10:45 AM
Many companies are moving toward cloud-based analytic solutions and/or cloud
applications, and utilizing cloud storage to manage IT budgets and take advantage of
newer technologies and approaches. But one thing that tends to come as an
afterthought is: How do I get my data safely into the new environment? Many
cloud-based companies offer secure transfer techniques. But how do you know what is
the correct and most efﬁcient method? This session will discuss speciﬁc methods of
data transfer, some of the encryption techniques and how they work, and the
performance impacts of these choices on your day-to-day operations involving the
cloud.
Ken Rotondo, Mind Genomics Advisors
Bert Krieger, Mind Genomics Advisors
Healthcare & Life Sciences
24 October 2016

18 of 27 9/26/2016 12:41 PM

Speakers Industry
Speaker Industry
ASP–2512: Creating Rapid Analytics Prototypes with IBM
Analytics Stampede
Theater Session
, 04:00 PM – 04:20 PM
IBM Analytics Stampede fuses the strength of IBM services, software and skills to
minimize the barriers and expedite analytics solution success, with use cases speciﬁc to
our clients' needs. Stampede provides a collaborative and agile vehicle to enable you to
accelerate your clients' analytics journeys. Find out how other companies have
leveraged Stampede to accelerate adoption of hybrid cloud analytics, resulting in
customer success.
ASP–2610: Business Data-Driven Architecture Using
IBM's Data Lake Strategy
Breakout Session
, 12:00 PM – 12:45 PM
Come hear about creating a business data-driven architecture using IBM's data lake
Michael RULAND, IBM
Richard E. Harken, IBM
Information Technology
24 October 2016

Kevin Zachary, IBM Information Technology
27 October 2016

19 of 27 9/26/2016 12:41 PM

Speaker Industry
strategy for one of the largest ﬁnancial institution in the world. See how to integrate the
systems of record with the systems of engagement, allowing the development of "mind-
blowing" experiences on all channels for the clients. Hear how to deploy "ﬁt per
purpose" data repositories (data topology strategy) on the data lake to allow self-service
BI, advanced analytics, and data discovery and exploration. Understand how predictive
customer intelligence (PCI) and next best action (NBA) can be deployed on a data lake.
Speakers Industry
ASP–2898: Open Source Strategy for Enterprise IT:
Advanced Architectures and Methods
Breakout Session
, 11:00 AM – 11:45 AM
Tech startups live and die with open source software (OSS), placing strategic bets on
OSS projects—including their own. Enterprises, in contrast, make more conservative
use of open source, using community-developed code in infrastructure and also in
mobile, web and cloud apps to serve employees, partners and customers. Successful
enterprise IT open source initiatives must provide anticipated ROI in acquisition,
integration and management. This session introduces: Elements of enterprise-level open
source strategy; using OSS as a secret weapon for innovation and differentiation;
current and new use cases for OSS; attracting and retaining talent with OSS use and
contribution; and OSS security and compliance in the enterprise context.
Marcio MOURA, IBM Banking
27 October 2016

William Weinberg, The Linux Foundation
Greg Olson, The Linux Foundation
20 of 27 9/26/2016 12:41 PM

Speaker Industry
ASP–2907: Integrating IBM Watson into an Enterprise
Healthcare and Wellness Platform/Ecosystem at Welltok
Breakout Session
, 01:00 PM – 01:45 PM
Welltok, one of IBM’s early pioneers in the Watson ecosystem, has gone well beyond
using Watson to help its clients’ employees leverage the power of cognitive insights to
drive optimal health. Welltok will explain how they use Spark, IBM’s Healthcare
Consolidated Model and Cognos as part of a dynamic ecosystem and wellness
platform. Attendees will also learn the basics of how to architect for cognitive computing
in a HIPPA-compliant environment.
ASP–2920: Quest Diagnostics' Big Data Analytics with
IBM Unified Data Model for Health Care and Netezza
Breakout Session
, 08:00 AM – 08:45 AM
Quest Diagnostics has the US’s largest longitudinal healthcare data warehouse, covering
over 50% of the US population. To meet clinical/operational/financial reporting and
exploratory analytical demands, we have introduced our next-generation big data
analytics platform and information management strategy. The platform supports highly
curated, insights-driven products and services, and decentralized self-service models
for advanced analytics with connectivity to broader healthcare ecosystem partners. The
new platform is built on top of Hadoop, IBM Unified Healthcare Data Model, Information
Server, PureData for Analytics, and Cognos. This platform is core to Quest Diagnostics’
24 October 2016

Whit Walters, Welltok Healthcare & Life Sciences
27 October 2016

21 of 27 9/26/2016 12:41 PM

Speakers Industry
transformation and underpins our “Action from Insight” brand.
Speakers Industry
ASP–3182: Uncovering Cyber-Economic Business Risk
Management in Near Real-Time
Breakout Session
, 11:00 AM – 11:45 AM
This session will discuss how using IBM's analytics and big data products can provide
business capabilities for analyzing, planning and modeling strategies to protect an
organization. The discussion will cover the entire risk management lifecycle, from data
ingestion to end-user access, and includes mining structured and unstructured data,
machine learning, data analysis, statistical modeling, and predictive and investigative
modeling.
ASP–3298: Advanced Analytics and Information
Governance as Foundations of a Cognitive Bank
Breakout Session
Upender Bathini, Quest Diagnostics Inc
Ketan parikh, Quest Diagnostics
Healthcare & Life Sciences
26 October 2016

Craig Crawford, EY
Greg Adams, EY
Aerospace & Defense
22 of 27 9/26/2016 12:41 PM

Speakers Industry
, 02:00 PM – 02:45 PM
This session illustrates how banks in Latin America are embracing the cognitive era by
exploring and implementing predictive analytics using trusted, governed information.
Attendees will learn how customers can quickly deliver business value by partnering
with IBM to rapidly derive valuable insights using their existing and new data sources,
and IBM's agile frameworks for data integration, governance and advanced analytics.
Speaker Industry
ASP–3392: Open Source Data Projects: Lightning Talks
on What's New
Theater Session
, 10:30 AM – 10:50 AM
Don't miss these lightning talks about open technologies and interfaces, including
Graph, Apache Atlas, Hadoop, Kafka, Spark, Quarks and TinkerPop, NoSQL, OData,
and ODPi. There will also be a closing question-and-answer time. Speakers include
Scott Gray, Hubert Heijkers, Kelvin Lawrence, Jason Plurad, Mike Spicer, and more.
ASP–3408: Data Topologies for Hybrid Cloud Secure
Data Lake: From Data Strategy to Data Lake Deployment
27 October 2016
Mario Godinez, IBM
Carolina Leonor Golia, IBM
Banking
24 October 2016

Susan Malaika, IBM Not Industry Speciﬁc
23 of 27 9/26/2016 12:41 PM

Speakers Industry
Breakout Session
, 04:00 PM – 04:45 PM
Building a successful hybrid cloud analytics platform requires more than just technology
and infrastructure. In this session, you will learn how to develop a data topology for data
architectures in support of both agile (ad hoc) and governed data analytics. You'll learn
best practices for deploying and governing data ﬂows, entity/master data, and data
structures using modern, scalable big data platforms and technologies.
Speakers Industry
ASP–3409: Developing a Hybrid Cloud Secure Data
Lake and Enterprise Analytics Environment at Lululemon
Breakout Session
, 01:00 PM – 01:45 PM
Lululemon is building its next-generation enterprise analytics environment in the cloud,
with lessons learned from their on-premise BI environment. You will learn how to get
started with developing a data topology for self-service analytics, ingest and data
replication from on-premise to cloud, leveraging open source and IBM platforms
(dashDB, BigInsights and InfoSphere Information Governance Catalog).
26 October 2016

Ganesh KRISHNAMURTHY, IBM
Paul Christensen, IBM
25 October 2016

Dave Hewlett, Lululemon Athletica
24 of 27 9/26/2016 12:41 PM

Speakers Industry
ASP–3410: Data-First Methodology: Driving High-Impact
Success for Hybrid Cloud Data Lake and Analytics
Breakout Session
, 04:00 PM – 04:45 PM
IBM's new DataFirst Method provides the strategy, expertise and game plan to help you
get the most value from data. The DataFirst Method places the different uses of data into
a maturity model so you can assess where you are today—and, more importantly,
identify what’s best to do next. In this session, you'll learn about the DataFirst Method,
understand the maturity curve for self-assessment, and understand entry points,
workshops, methods and proven practices to ensure success on your journey to
becoming a data-driven business. We'll also discuss architecture, methodology, and
roadmap to success.
ASP–3609: Driving Agility to Accelerate Data Science
Cycles at ANZ Bank
Breakout Session
, 08:00 AM – 08:45 AM
The pace of the world is accelerating. Nightly news is replaced by Twitter. Companies go
from idea to market in months. Technologies come and go at an ever-increasing pace,
and development cycles are moving from years and months to weeks and days. Data
24 October 2016

Ganesh KRISHNAMURTHY, IBM
26 October 2016

25 of 27 9/26/2016 12:41 PM

Speakers Industry
scientists expect—and need—the ability to turn around new models, ideas and data
feeds faster and faster. But amidst this, intensifying regulation and publicity means that
risk tolerance is increasingly squeezed. So how can data technology groups meet these
seemingly conﬂicting demands of faster, cheaper change cycles while creating less risk?
The answer lies in replacing handoffs with integration, once-offs with repeatable
processes, and error-manual tasks with DevOps automation.
ASP–3610: Industry Directions with Open Source and
Hybrid Cloud Secure Data Lake Architectures and
Methods
Breakout Session
, 09:00 AM – 09:45 AM
At this session leading experts will discuss industry and technology directions, including
the use of open source software stacks for deployment of hybrid cloud secure data
lakes and analytic systems. IBM will discuss successful industry deployments, and Steve
Rubinow of Catalina Marketing will give insights on where the enterprise and
technologies are going in the future. This will include a discussion on open source and
mobile, as well as the integration of new data sources for high impact on the enterprise
including geolocation, weather, social media, etc.
David Hall, ANZ
Darren Abbruzzese, ANZ Bank
Banking
24 October 2016

26 of 27 9/26/2016 12:41 PM

Speakers Industry
Speakers Industry
ASP–3617: Data Harbour: Macquarie Bank's Innovative
Data Ecosystem
Breakout Session
, 02:00 PM – 02:45 PM
Two years ago, Macquarie Bank started a journey to become a leading digital bank.
Crucial to this strategy was the concept of being agile and scalable in its ability to
manage and provide access to information. Our live ecosystem Data Harbour is
unlocking access to our data and enabling new analytics capabilities, all on a secure
and governed platform. Join us to ﬁnd out how Macquarie Bank, together with IBM, went
on a journey to challenge existing approaches and used new technologies and ideas to
create an innovative data ecosystem.
Jo Ramos, IBM
Steven Rubinow, Catalina Marketing
24 October 2016

Ben Chin, Macquarie Group Limited
Jack Chung, Macquarie Group Limited
Banking
27 of 27 9/26/2016 12:41 PM

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