J White Bear is a data scientist and software engineer at IBM. In this podcast, White Bear discusses simultaneous localization and mapping, an ongoing research area in robotics for autonomous vehicles and well-recognized as a nontrivial problem space in both industry and research.
Seth Dobrin is vice president and CDO, IBM Analytics, platform development, at IBM. In this podcast, Dobrin shares experiences using Apache Spark for data science transformation and some thoughts on a larger vision for data science transformation at scale.
Steven Astorino is Vice President, Development, IBM Private Cloud Analytics Platform. In this podcast, he discusses how machine learning is driving the evolution of data science in strategic business initiatives.
The financial industry faces a wide range of priorities including customer experience, instant fulfillment, cyber security, risk management and compliance, and expenses. A modern financial services platform is needed to strengthen financial businesses as they progress into the future. And this
In this white paper, discover how programmers and data scientists can use SparkR to transform R into a tool for big data analytics, taking advantage of parallel processing and near-linear scaling to tackle much larger challenges than would normally be possible with other methods.
The grand finale of the first IBM France Sparkathon invited Apache Spark developers to outthink the frontiers of client insights. Get the details on this event held during the IBM Business Connect conference and the application that took the top prize.
Holden Karau is a software engineer at IBM, an active open source contributor and coauthor of Learning Spark (O'Reilly Media, February 2015) and the soon to be released High Performance Spark (O'Reilly Media, March 2017). In this podcast, Karau examines how to effectively search logs from Apache
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
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
Now that we’re into the swing of 2017, the time is ripe for the first CrowdChat of 2017 to explore the goals, challenges and strategies that CDOs and CIOs are focused on for their organizations. Get involved and share your thoughts in this kick-off IMB Big Data CrowdChat.
To serve citizens effectively and efficiently, public entities can draw from the private sector’s 360-degree view of the customer and apply analytics, big data, Hadoop, machine learning and Spark to create a single or 360-degree view of the citizen. See how this methodology can empower public
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to
In this episode of the Finance in Focus podcast, listen as wealth management experts Marc Andrews and April Rudin discuss ways that financial institutions can use cognitive computing to find solid ground in shifting regulatory terrain.