Nick Pentreath is a principal engineer at IBM, a member of the Apache Spark project management committee (PMC) and author of Machine Learning with Spark (Packt Publishing, December 2014). In this podcast, Pentreath covers the basics of feature hashing and how to use it for all feature types in
Today’s businesses need a culture of collaboration that empowers knowledge workers to glean cognitive insights from data that help transform and modernize operations. See how cloud-based platforms and solutions enable data scientists and other experts to exploit artificial intelligence, machine
Technology is great on its own, but unless it’s doing something for your business and creating real value for the organization, it’s not really serving a point. IBM’s Kevin McIntyre talks about how the DataFirst Method helps the data professional stay focused on data.
Emily Curtin is a software engineer at The Weather Company (now IBM) working on the data engineering platform team. Robbie Strickland is vice president, engines and pipelines, IBM Watson Data Platform, at IBM. In this podcast, they give a technical overview of how Parquet works and how recent
This podcast discusses how embracing the concept of the new killer apps involves people and roles in an organization that need to coalesce around a rational set of business goals in working with data. New teams of people are forming that are data hungry.
Check out the ebook, Improving Financial Performance with Predictive Analytics, from Ventana Research that explores the many ways businesses can apply predictive analytics and data science techniques to grow revenue, shrink costs and improve margins.
Large companies that want to prevent being outflanked by more agile, smaller firms can adopt a new organizational and strategic lifestyle. Listen to a general discussion of Chunka Mui’s book, The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups (Cornerloft Press, December 2013) in
In his book, The New Killer Apps, Chunka Mui, innovation and business strategy consultant, asserts that the conventional wisdom about start-ups being destined to out-innovate big, established businesses isn't true. Read this excerpt to learn how large companies can disrupt too by thinking big,