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Listen to the Podcast

Presenter(s):

Bill O’Connell – CTO, Data Warehousing

IBM http://www.ibm.com/

Listen to the Podcast

Presenter(s):

Bill O’Connel – DE, Chief Architect IM Solutions, Warehousing CTO

Greg Lotko – VP, Warehouse Solutions

IBM http://www.ibm.com/

Podcast:

Presenter(s):

Bill O’Connell – DE, CTO, Warehousing Solutions

IBM http://www.ibm.com/

Podcast:

Presenter(s):

Bill O’Connell – Distinguished Engineer and CTO, Warehousing Solutions

Jackie Ryan – Director, Industry Solutions Management

IBM http://ibm.com/software/data

Podcast:

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Topic:

Big Data at the Speed of Business

Summary:

Leading companies are acutely aware that their continued relevance, and even survival, depends on harnessing big data for operational systems and new systems of engagement. IBM is helping clients across all industries enrich their data environments by taking advantage of data that was once considered too big or complex to economically analyze and use.
IBM will discuss new innovations that provide enhanced performance, consumability and exploration capabilities to accelerate the business value of big data. Subject areas include:
* New big data analytics systems (hardware and software)
* New big data software enhancements and new database software
* Customer and industry success stories

Presenter(s):

Reed Meseck – Senior Competitive Executive, IBM Information Management

Tracey Mustacchio – Director of Product Marketing, Big Data, IBM Information Management

Nancy Kopp-Hensley – PureData and Netezza Product Marketing, IBM Information Management

Company Profile:

IBM Information Management solutions deliver trusted information throughout your information supply chain and help you analyze your information to gain insights, identify breakdowns, and make better decisions that will optimize your business.

Case Studies:

Kent Collins of BNSF Railways on DB2 with BLU Acceleration

Andrew Juarez of Coca-Cola Bottling Co. Consolidated on DB2 with BLU Acceleration

John Schlesinger of Temenos on DB2 with BLU Acceleration

Dr. Michael Kowolenko of North Carolina State University on
InfoSphere BigInsights

Dr. Jesse Harriott of Constant Contact on InfoSphere BigInsights

Press Release:

IBM

IBM http://www.ibm.com/en-us/

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Topic:

Enabling Self-Service Analytics and Analytic Collaboration in the Architecture

Summary:

Everyone agrees on the value on analytics. The real challenge now lies with IT’s ability to deliver. How do you enable and empower data scientists while at the same time allowing them to collaborate with the “citizen analysts” of the organization? How has the push for analytics to become more pervasive in the enterprise changed how we look at architecture? The answer is, it’s changed everything. The data warehouse has now evolved to a larger ecosystem that is more open, hybrid and multi-structured, of course. Self-service is a driving requirement of the analytic architecture, and IT is now challenged with enabling while maintaining a trusted level of governance and security. Data scientists, unlike data miners, are no longer put into a corner where they can have their own sandbox. They have a need to be able to collaborate and share discoveries and patterns much easier with the business community.

IBM is not only thinking about how to help our clients take advantage of a completely hybrid analytic architecture but how this architecture will work for them, how it will empower more of the business with analytics faster and on demand, and how it will foster collaboration across the key roles needing to share insight to make decisions.

Presenter(s):

Nancy Hensley – Director, Offering Management, IBM Analytics Platform Services

Alex Bentley – Portfolio Product Management, IBM Analytics Platform Services

Bill O’Connell – Distinguished Engineer & CTO, Data Warehousing & Big Data, IBM Analytics

Company Profile:

For more than a century IBM has been dedicated to every client’s success and to creating innovations that matter for the world. IBM Analytics helps organizations make better decisions by gleaning new insights from the volume and variety of all the data available to them.

Press Release:

IBM

IBM http://www.ibm.com/en-us/

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Topic:

Delivering on the Promise of Self-Service Analytics

Summary:

Last time IBM met with the BBBT, we talked about how self-service analytics are changing the way we architect and consume data in the enterprise. In order to enable self-service analytics, we had to turn the architecture upside down and understand how data is consumed by the many data-hungry roles in the organization. To do this, IBM has focused on four key roles: the application developer, the data engineer, the data scientist, and the business or citizen analyst. Our goal was to clearly understand how people in these roles search, shop, discover and collaborate on data. In June 2016 we announced the first offering which was the culmination of the research and work we had done on data science. The IBM Data Science Experience aims to simplify and change how data scientists work, allowing them to learn, discover and collaborate in one integrated environment. Today we have over 10,000 adopters. In addition, we also knew that to power these new experiences, we needed a new platform to support fluid data movement and trusted access to data. In September 2016, we announced Watson Data Platform, the first data platform to power cognitive decision making. Watson Data Platform enables data-driven professionals to work together in a simpler way to shop, discover and collaborate on data, which can yield insights into the business. The integrated platform features embedded machine learning capabilities and provides user-specific tools on the IBM Cloud. In February 2016, when we met last with the BBBT, we hinted at what we saw was to be the next generation analytics platform. We look forward to showing you how we have delivered on that promise.

Presenter(s):

Ritika Gunnar – Vice President, Offering Management, IBM Analytics Platform Services

Nancy Hensley – Director, Offering Management, IBM Analytics Platform Services

Armand Ruiz Gabernet – Offering Manager, Data Science Experience, IBM Analytics Platform Services

Harsha Kapre – Offering Manager, Watson Data Platform, IBM Analytics Platform Services

Company Profile:

For more than a century IBM has been dedicated to every client’s success and to creating innovations that matter for the world. IBM Analytics offers a complete portfolio of big data and analytics solutions to fuel your cognitive business. Our solutions enable your organization to engage with data to answer the toughest business questions, uncover patterns and pursue breakthrough ideas.

IBM http://www.ibm.com/en-us/

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Topic:

Enabling the Coders and the Clickers in Data Science

Summary:

IBM believes data science is a team sport. That means you have to enable the coders as well as the clickers so they can collaborate on the same project, sharing data, results and analytic assets. IBM built Data Science Experience (DSX) as the core platform on which a data scientist can work but also collaborate with others on the data science team. Tools like SPSS Modeler, SPSS Statistics and Watson Explorer can integrate with DSX. In addition, DSX supports new machine learning capabilities that allow continuous intelligence and model management, making the implementation of discoveries easy. All this adds up to enabling everyone to discover more and to build more intelligence into their business.

Presenter(s):

Nancy Hensley — Director, Offering Management, IBM Analytics

Nancy’s responsibilities for IBM Analytics include digital strategy, ecosystem, and portfolio strategy, and she is part owner of IBM’s data science portfolio.

Armand Ruiz — Lead Offering Manager, IBM Data Science Experience, IBM Watson Machine Learning

Armand’s responsibilities include offering strategy, some development, demos and outreach around IBM’s work on data science and machine learning.

Ted Fischer — Senior Offering Manager, IBM SPSS Modeler/Data Science, IBM Analytics

Ted’s responsibilities include offering management, offering strategy, demos and outreach for IBM SPSS Modeler, IBM SPSS Statistics and IBM’s data science work.

Tanmay Sinha — Senior Offering Manager, IBM Watson Explorer

Tanmay’s responsibilities include offering management, offering strategy, demos and outreach for IBM Watson Explorer.

Company Profile:

For more than a century IBM has been dedicated to every client’s success and to creating innovations that matter for the world. IBM Analytics offers a complete portfolio of big data and analytics solutions to fuel cognitive businesses. IBM solutions enable organizations to engage with data to answer the toughest business questions, uncover patterns and pursue breakthough ideas.

IBM https://www.ibm.com/us-en/

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Topic:

AI + BI = The All New Cognos Analytics

Summary:

The all-new Cognos Analytics (version 11.1) infuses AI into every aspect of the trusted, proven BI platform, including:

• Data exploration tools that use natural language generation (NLG), allowing users to ask questions and get answers in plain language.

• Reporting functions that are not only easy to use, but also provide the ability to customize reports with company colors and logos, can be shared via Slack, and burst out to thousands of users at a time. AI suggests the best visualizations, joins and alternatives that allow users to uncover the true value in their data.

• An AI Assistant that learns each individual user’s needs and supplies timely and accurate suggestions to get the most out of their data.

• Advanced analytics that support drivers, red dots and NLG.

Presenter(s):

Rachel Su – Offering Manager, IBM Business Analytics

Rachel has been with IBM for over 12 years, working as a technical analyst, in customer success and support, and in product management. She has a B.Sc in Computer Science from Dalhousie University in Halifax.

Jason Tavoularis – Offering Manager, IBM Business Analytics

Jason has been engaging Enterprise Software clients for over a decade through roles in product management, sales demonstrations, and technical support. He has a B.Sc in Computer Engineering and an MBA from the University of Ottawa.

Roberta Wakerell – Client Success Lead, IBM Business Analytics

Roberta has worked for IBM for 13 years in a variety of roles, including analyst relations, portfolio marketing, market strategist, and client success. She has a B.Com in Finance from Carleton University in Ottawa.

Paul Glennon

Company Profile:

For more than a century IBM has been dedicated to every client’s success and to creating innovations that matter for the world. IBM Analytics offers a complete portfolio of data and analytics offerings. IBM solutions enable organizations to engage with data to answer the toughest business questions, uncover patterns and pursue breakthough ideas.

Case Studies:

Seafood Innovation Cluster

North York General Hospital

GenPact

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Company Profile

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world, with 47 of the Fortune 50 companies relying on IBM to run their business. Guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Topic

Get more out of your data with data fabric and IBM Cloud Pak for Data

Summary

Every organization needs to have the ability to access the right data at the right time, regardless of where the data is stored. Join IBM as we discuss an exciting emerging architecture – data fabric – and discover how it helps to enable better use of data across your business and reduce costs and risks of data management, . With built-in data fabric capabilities in IBM Cloud Pak for Data, you’ll learn how you can get full access more of your data and build and deploy models across multi-cloud environments. All on a fully managed deployment platform for data processing, analysis and operationalization of AI.

Presenter(s)

Beate Porst – Program Director, Data Fabric

Trent Gray-Donald – Distinguished Engineer

Miran Badzak – Program Director, Cloud Pack For Data As A Service