Discovery and Exploration

Juggler or high diver: How do you work in real time?

Length: 16:44
June 16, 2014

If you take a quick glance at any technology publication (and many business publications as well) you will likely see some reference to real-time. There’s real-time customer service, real-time marketing, real-time analytics and the list goes on. But what does real time mean? Is there a standard definition? Should there be?

Roger Rea, product manager for IBM InfoSphere Streams, joined host David Pittman to share the surprisingly long history of "real-time computing," and explain how to tell if you are a juggler or a high diver when it comes to real-time analytics.

If you want to learn more about real-time computing, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more. Developers who want to learn more about InfoSphere Streams should join the StreamsDev community for developers by developers! https://developer.ibm.com/streamsdev/ and download IBM InfoSphere Streams Quick Start: ibm.co/streamsqs

"Zone Architecture" model explains how big data fits into IT strategy

Length: 15:06
May 26, 2014

Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture" built around five zones that relate to how organizations manage data and run analytics. Rick Clements, director of product marketing for IBM Big Data, described the Zone Architecture, as well as the use cases  and types of products typically used within each zone.

You can explore the big data zone architecture in an interactive infographic the lists use cases, provides product information, and shows videos of how clients are operating in each zone. 

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Follow @IBMbigdata on Twitter and also follow podcast host David Pittman @TheSocialPitt.

Big data is all data

Length: 16:53
January 20, 2014

Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create business value. To me, that is why I think big data is all data."

Listen to him explain the thinking behind this approach and give advice on how to begin getting more value out of your data. (Hint: it's easier than you may think.)

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Busting 4 Popular Big Data Myths & Misconceptions

Length: 18:07
September 23, 2013

"Anyone who makes assertions and is unwilling to engage in a discussion or provide evidence for what they say, is probably someone who doesn't really know what they're talking about. Be very skeptical."

That's the advice from Tom Deutsch, program director of big data and analytics at IBM. In this episode, Tom goes head-to-head with four popular notions about big data, and busts all of them as myths. Listen to learn why.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

How to Get an Enhanced 360 View of the Customer

Length: 25:52
June 3, 2013

A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use case and gives several examples of how today's new big data technology differs from and complements CRM and other existing products.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Can Big Data Stem Churn?

Length: 15:10
April 22, 2013

Diego Saenz, the founder of Data Driven CEO, has over 20 years of experience as a management consultant, corporate executive and entrepreneur. In his current role, he provides Big Data Analytics consulting, speaking and training. He talked with us on the topic “Can Big Data Stem Churn?”

You can follow Diego on Twitter @diego_s and visit his website www.DataDrivenCEO.com.

To learn more about IBM big data, visit ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Capitalize on the Power of Big Data to Transform Marketing

Length: 16:27
April 18, 2013

Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they are facing. He also describes “The Data of Desire,” and why is it relevant to CMOs and their ranks of digital marketers and advertisers. 

4 Key Steps to Exploring Big Data

Length: 19:12
April 16, 2013

Data Exploration is one of the top five business use cases for big data. Stacy Leidwinger, product marketing manager for IBM Data Explorer, describes the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project.

To learn more about IBM big data, visit ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com.

Audience Measurement: Changing the Model for Today’s Data-Driven Marketer

Length: 10:56
April 8, 2013

Audience measurement is experiencing dramatic change from a focus on the channel to a focus on the individual as marketers and advertisers work to understand the 360-degree view of the customer. What advantage does this provide to marketers and advertisers? If marketers need data-driven audience profiles that provide a complete picture of each customer’s lifetime interactions with your business, what steps should they take to put that picture together? Why does big data matter in Audience Measurement and what are the high impact use cases?

Graeme Noseworthy addresses all of these questions and more.

Getting a 360-degree View of a Corporation

Length: 8:00
April 1, 2013

When thinking about the big data use case of "getting a 360-degree view of the customer," remember this: "corporations are people too." That's the advice of Tom Deutsch, IBM big data program director. Getting a complete view of the entities within a corporation is far more complex than it is for an individual person, but the benefits are also far greater with potential profits and reduced risk exposure. Tom explains in this brief podcast.

To learn more about IBM big data, visit ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

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