Data science seems to be experiencing a renaissance when it comes to advanced open source tools. Get a glimpse into creative application development with IPython Notebooks, Jupyter Notebooks, Apache Spark, the PixieDust open source library and more at IBM Insight at World of Watson 2016.
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
Hear from Nancy Hensley, director of offering management for IBM Analytics who speaks with Rob Thomas, VP of development for analytics on the subject of business transformation and a discussion of the data maturity curve.
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.
Unstructured information continues to grow as never before, with a preponderance of it being stored and managed by large enterprises. Much of this data is not really well understood, and its management and governance remain a formidable challenge. See how creating trusted and collaborative
Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations
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 minimizing cyber crime through artificial intelligence, cognitive computing and connected Internet of Things devices.
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
Chris Snow, a data and application architect, enjoys helping customers with their data architectures and is working extensively on an open source app project in his spare time. Hear what Snow has to say about his IT experience spanning several industries, his current efforts with customers and his
Hear Roger Rea, senior offering manager for IBM Streams, at IBM, share his thoughts in this podcast on why streaming analytics has become essential for enterprises and how it is transforming their businesses.
The rise of a widely used messaging app and how it helps customers fulfill jobs to be done is a telling example of innovation at work. See how advances in sharing images and video through messaging on mobile devices offers a lesson in how communications service providers can drive enhanced,
Unlock the potential in your data to create meaningful client connections with IBM Client Insight for Wealth Management with Watson. Analyze data from many sources with sophisticated, prebuilt industry-designed analytical models, personalize offers to match the changing needs of clients and