podcast

Gaining an advantage from information management

Length: 20:27
August 18, 2014

William McKnight is founder of McKnight Consulting Group, which focuses on helping clients solve business problems using proven, streamlined approaches in information management. He is also the author of a new book titled, "Information Management: Strategies for Gaining a Competitive Advantage with Data."

William talked about the value that many companies are leaving behind by not making the most of their data, and he gave advice on how organizations can become more agile—both in their methodology and mindset.

Follow William on LinkedIn and Twitter (@williammcknight) and on his blog. Follow podcast host David Pittman on Twitter @TheSocialPitt.

To learn more about IBM big data & analytics, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more. 

Social marketing and big data

Length: 18:48
August 10, 2014

By now, most marketing managers and entrepreneurs have heard of big data, but they may not understand its impact on social marketing programs. Joining us to explain is Randy Hlavac, president of Marketing Synergy, a professor in Northwestern University’s Medill integrated marketing communications program and author of the book Social IMC: Social Strategies with Bottom-line ROI. Randy described how to shift from campaigns to real-time engagement, and why doing social listening for your company or brand name is not a good strategy.

Follow Randy on LinkedIn and Twitter - @RandyHlavac - and read his blog on the Marketing Synergy website: msinetwork.com. Follow podcast host David Pittman on Twitter @TheSocialPitt.

To learn more about IBM big data & analytics, visit www.ibmbigdatahub.com, where you’ll find podcasts, videos, blogs and more.

Developing real-time applications through open source

Length: 17:44
July 13, 2014

IBM has a long and successful history with open source, from running Linux on IBM PCs to contributing initial codebase for Eclipse. We believe a mix of open source and closed source is the best way to drive adoption in the marketplace. Having the full support of a vendor like IBM can lower risk while open source can help achieve customer requirements. In this podcast, Mike Spicer, lead architect for InfoSphere Streams, talk about IBM’s latest contribute to open source—the new GitHub project from InfoSphere Streams.

Learn more about this project at github.com/ibmstreams. Also visit Streams Dev site for developers at developer.ibm.com/streamsdev

How SMBs are approaching big data analytics

Length: 17:54
July 7, 2014

Cloud, mobile, security, analytics and big data are all significant issues for IT organizations, and the landscape of each issue is rapidly evolving. While it’s difficult for organizations of all sizes to keep up with the changes, it’s especially challenging for small and midsize companies. Brian Beals and Steve Cavolick join us from Sirius Computer Solutions, an IT solutions integrator that provides infrastructure and software consulting and services. Brian and Steve shared some of their knowledge about how SMBs are approaching and solving these IT challenges.

Learn more about how Brian and Steve can help you at their company website, www.mysiriuszone.com and connect with them on LinkedIn.

Follow abreast of a wide range of issues affecting midsize companies at the MidsizeInsider.com

And for more information about IBM’s big data and analytics solutions, visit ibmbigdatahub.com.

Transforming potential into action

Length: 18:18
June 8, 2014

Today's customers demand that you know them and deal with them as individuals rather than as part of a generic market. This requires new ways of truly understanding and engaging with them, and big data technologies play a key role in this.

Tom Deutsch, program director for big data and advanced analytics at IBM, described two major use cases for big data analytics: one that affects how an organization finds and interacts with customers (or constituents or patients), and one that helps improve operational efficiency. In particular, Tom encouraged us to look at what happens when the wall comes down between how something is made and how something is used? He advised us to use big data and analytics to focus on the outcomes and the improvements you want to make, and not to worry about the technology.

This podcast accompanies an infographic  titled “Big data and analytics: Transforming potential into action,” which can be found at ibmbigdatahub.com/infographics.

Follow Tom on Twitter @thomasdeutsch and talk with him on LinkedIn, where he’s a frequent contributor. You can also read his posts on ibmbigdatahub.com and ibmdatamag.com. Also follow podcast host David Pittman @TheSocialPitt.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdataFor more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

It must be big data's fault

Length: 11:14
May 16, 2014

Some people mistakenly blame big data for failures in their results. If the outcome is bad, it must be big data’s fault, right? Wrong!

You can have the right data and get the analytics wrong. You also need to know how to apply results and take action on them. You can have all of the right data and run the right analytics, but if you don’t feed the results back into your operational processes, you won’t be fully leveraging the data to drive positive change. That’s not a big data failure, that’s an operational issue. This is where major opportunities lie in the near future: going beyond implementing big data for big data’s sake and focusing on driving desired business outcomes.

Follow Tom on Twitter @thomasdeutsch and talk with him on LinkedIn, where he’s a frequent contributor. You can also read his posts on ibmbigdatahub.com and ibmdatamag.com. Also follow podcast host David Pittman @TheSocialPitt.

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.

The world of big data analytics in bioinformatics

Length: 13:02
April 24, 2014

Dr. Charlie Schick, an industry consultant on the IBM big data team focusing on Healthcare & life sciences, joined us to talk about the bioinformatics industry and how pharmaceutical companies and academic research institutions are using big data analytics. He also gave a preview of key activities at the Bio IT World conference in Boston.

Follow Charlie on LinkedIn and Twitter: @Molecularist. Also follow @IBMBigDataHLS for healthcare & life sciences info, and podcast host David Pittman @TheSocialPitt.

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.

Achieving trust in a digital age

Length: 16:25
April 6, 2014

In a recent article published on Information Age, Richard Lee said there is much discussion these days about data privacy and security, but precious little about trust. He expressed concern: "Trust is hard to achieve, easy to lose and almost impossible to regain."

Richard joined us to discuss how business leaders and technologists can go about developing trust in their applications and throughout their organizations.

Richard Lee is a management consultant with IMECS, LLC. For more than 30 years, he has helped guide companies in their business strategy. He also speaks at conferences around the world on key business issues related to enterprise information management and data governance. He’s active on Twitter (@InfoMgmtExec), and he’s also an IBM Champion for Information Management.

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.

Preview of NAB Show

Length: 8:35
March 31, 2014

The giant NAB Show takes place in Las Vegas April 5-10. IBM will be very active at the show, along with Aspera, a recent IBM acquisition. Graeme Noseworthy, messaging director for media & entertainment at IBM, gave us a brief overview of sessions, demos and activities that will take place.

For information about the conference, visit www.nabshow.com.

To stay up-to-date with news and information from IBM before, during and after the show, follow @Smarter_Media and @graemeknows on Twitter.

Going with the flow: The evolution of CEP to stream computing

Length: 17:10
March 26, 2014

Stream computing is a natural evolution of Complex Event Processing, also known as CEP, but it has broader uses on a wealth of emerging streaming data sources, such as weather and transportation data, and videos as well.

Roger Rea, product manager of InfoSphere Streams, explains what stream computing is, how it differs from event processing and CEP and gives examples of how companies are employing stream computing for real-time analyses and applications.

You can download a free version of InfoSphere Streams Quick Start Edition to play around with the product and see what it can do for you at ibm.co/streamsqs

For more information about the IBM big data platform and products, visit www.ibm.com/bigdataFor more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

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