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What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more.
Listen here or read the blog post that spurred this podcast.
In early 2013, one popular prediction was that vertical applications would rule the big data marketplace this year. Tom Deutsch took exception to that prediction in an article titled "Big Data’s Future: Bigger Than Just Vertical Applications" (read it at http://bit.ly/1hlXM5N ) So? Who was right?
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including
Bernard Marr is founder and CEO of the UK-based Advanced Performance Institute (www.ap-institute.com) , which is one of the world’s leading research and advisory organizations on organizational performance. He has authored several best-selling business books as well as hundreds of top analyst
Technology vendors often tout their "real-time" products - but what does "real time" really mean? And is it what you need? Tom Deutsch compares real time to "customer time," which he says is the more meaningful measure: delivering the performance in the amount of time that it's needed and can be
Data science has been called the "sexiest profession of the 21st century." Well known big data evangelist James Kobielus describes what a data scientist is and does, what paradigms and practices one must know and what skills and knowledge one should possess. He also questions if the typical "sexy
"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
Hilary Mason is the "chief scientist emeritus" at Bitly, co-founder of HackNY, and an adviser to Accel Partners. She is also a curious data scientist, which is one factor that has led to her being one of the most influential people in her field. She talked with us about what it takes to be a top
Sifting through the noise to find the signal in big data - the information that yields the most value to your analysis. That was the key point in this podcast between Claudia Imhoff, president of Intelligent Solutions and founder of Boulder BI Brain Trust, and David Corrigan, director of product
In the last of a three-part series, Mike Ferguson, an independent analyst with Intelligent Business, and David Corrigan, director of product marketing for IBM InfoSphere and Information Integration and Governance, discussed how to build confidence in big data. This segment looks at agile data
Mike Ferguson, an independent analyst with Intelligent Business, and David Corrigan, director of product marketing for IBM InfoSphere and Information Integration and Governance, talked recently about how to build confidence in big data. In this segment, they delved into context: how to visualize
Mike Ferguson, an independent analyst with Intelligent Business Strategies, talked with David Corrigan, director of product marketing for IBM InfoSphere and Information Governance about how to raise confidence in big data. They focused their conversation around automated integration – the ability
This episode features two experts with very different perspectives talking about the intersection of big data, analytics and the databases that make it all possible. IBM Champion David Birmingham is a Senior Principal with Brightlight Consulting. He has more than 25 years of experience in very –
Edd Dumbill is VP Strategy at Silicon Valley Data Science and Editor-in-Chief of the peer-reviewed journal Big Data. He’s also an entrepreneur, author, software developer, and chair of Strata conference. formerly was principal analyst at O’Reilly Radar. In a recent article titled “Big Data is