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.
Internet of Things data, devices and technologies are evolving into a core platform that is expected to impact business flexibility and more. Take a look at some key comprehensive best practices for Internet of Things–enabled application development that can put speed and agility into your business
The Internet of Things continues to be a land of opportunity in so many areas. Take a look at this overview of steps to innovation and success factors along with the risks and pitfalls to avoid in your Internet of Things journey.
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.
The success of next-generation data science initiatives depends heavily on teamwork from the right mix of application developers, business analysts, data engineers, statistical modelers and other specialists. Discover more about the composition of high-quality data science collaboration through the
Machine learning is finding its way into a variety of applications. Discover an open source machine learning platform that combines the data processing power of Spark with powerful machine learning algorithms courtesy of the H2O platform to tackle challenges technologists face when applying machine
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
A new version of the IBM DB2 for Linux, Unix and Windows (LUW) database was recently released, and it is well fortified with core advances, key management and security features and deployment and availability enhancements. Discover these advancements and much more in a blog series dedicated to this
The Internet of Things is at the heart of the digital transformation we are witnessing in society today. The advancements of this connectable ecosystem bring several important considerations including data security and privacy and the elements of the infrastructure. In this second installment of a
The Internet of Things is the digital future that is dead ahead. Are industries and businesses prepared for the onslaught of data that is already transforming our world today? In this series, take a glimpse into this future and the questions that will need to be addressed for all that the Internet
IBM InterConnect 2016 may now be history, but the premier cloud and mobile conference was center stage for a historical abundance of announcements concerning cloud data services, open analytics, cognitive Internet of Things, and more.
Security Industry Analyst and this week's Big Data and Analytics Hero Richard Stiennon offers his views on big data and analytics, especially as they pertain to cybersecurity and today's rising challenges that cyber threats create for commerce, education, government and other sectors.
Game show contestant, medical science researcher and now a legal assistant, IBM Watson continues to expand its cognitive talents into a wide range of professions. Discover why even Watson’s gaffs offer tremendous potential for enhancing tough legal decisions.
So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as