The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation
No letup in cyber crime can be achieved without a concerted effort by everyone. Hear what cybersecurity experts have to say about the collaborative approach to fighting cyber crime in a recent Analtyics Brief.
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
IBM extended Big SQL, which was formerly exclusive to the IBM Open Platform (IOP), to the Hortonworks Data Platform (HDP) in September 2016. I recently spoke with Berni Schiefer, an IBM fellow in the IBM Analytics group, to learn more about the offering and the ongoing IBM focus on SQL.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
In a world overrun with competing local, national and global regulations touching every aspect of finance, compliance can seem elusive—even unattainable. Yet, modern financial institutions have the ability to not only survive but also thrive amid an ever-changing regulatory landscape. Discover how
Although formerly exclusive to the IBM Hadoop Platform, the extension of Big SQL to the Hortonworks Data Platform (HDP) meets the challenge of complex data warehousing queries on Hadoop. See what Paul Yip, worldwide product strategy for Hadoop and Spark at IBM, has to say about what this transition
Where there’s a customer profile, there’s a gold mine. The question is, are you mining that data stream aggressively and regularly enough to unlock actionable consumer insight? Why failing to do so can lead to missed data monetization.
Join Martin Fleming, IBM’s chief analytics officer and chief economist, is exploring how cognitive capabilities help financial institutions adapt to an ever-changing regulatory landscape. To learn more about banking during the low-level equilibrium that besets the global economy, attend the Smarter
From risk averse to risk aware, communicating risk needs to be embedded into the entire business. Risk influencer Boris Agranovich provides his perspective on risk communication environments and offers six key tips for streamlining that communication to help achieve corporate compliance.
The story is familiar. Technology innovation develops at a rapid clip, but agile threat actors seem to never be far behind. Hear what two cybersecurity experts have to say about outthinking threats and minimizing cyber crime through artificial intelligence, cognitive computing and connected