In this episode of the Open for Data podcast, join Joe McKendrick in exploring the role of cloud computing in reshaping the global business environment — and find out how open source initiatives are driving that change.
Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
Organizations have a tool to address the multiple challenges faced by their knowledge workers: multispeed information technology. In this podcast, get an overview of multispeed IT and details on how businesses can implement it rapidly and cost-effectively.
Opinions differ on who, exactly, is a citizen data scientist, but one thing is for certain—they’re ushering in the cognitive era in ways never before imagined. Join a panel of social VIPs at IBM Insight 2015 to hear their take on citizen data scientists and their role in the modern data paradigm.
What does digital business really mean for organizations? Business becomes predictive, and new business models are created daily to address opportunities that may last only seconds. The company becomes almost organic, with an enterprise nervous system that senses, understands and adapts to local
Sri Viswanath is a master inventor in IBM Big Data & Analytics Open Technologies. He is deeply interested in the renaissance taking place in analytics, building on top of emergence of big data and the development of technology to make it applicable in a wide variety of spaces. Sri joined us
In giving us a look at the big data market and use cases within the Middle East and Africa region, Ali reminds us of the 5000-year history behind big data, which effectively was born in Mesopotamia. In more present day scenarios, he describes “an exploratory curiosity sandbox,” which is a method he
Gregory Piatetsky-Shapiro, the editor and publisher of KDnuggets.com, and a well-known expert in business analytics, data mining and data science, joined David Pittman to talk about that mix and the elusive “data scientist unicorn.”
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
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
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
"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role.
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