Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Some process reengineering initiatives that were all the rage some two decades ago fell short of producing tangible changes within organizations. And the same dearth of measurements for assessing data quality improvements could mean the same fate for today’s information governance initiatives. See
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to
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.
February 2016 has brought a whirlwind of announcements by IBM that are woven together by a predominate open data and open analytics thread. Many of these announcements were made at IBM InterConnect 2016. Take an opportunity to catch up on all these exciting announcements in this comprehensive
Open source analytics is transforming every segment of cloud data services, big data analytics, cognitive computing and other key insight economy technology enablers. See what some leading industry experts have to say about what they think are the most promising open source analytics initiatives
Provider data can be hard to pin down amid the winds of change that lash the healthcare environment from all directions. Rather than stumbling blind through a blizzard of competing demands, turn to IBM Master Data Management solutions to help you stay on top of your provider data.
Organizations have a tool to address the multiple challenges faced by their knowledge workers: multispeed information technology. In this podcast, get an overview of multispeed IT and details on how businesses can implement it rapidly and cost-effectively.
Today, IBM Cloud Data Services is announcing that we’re officially open for data. Our new range of cloud-based tools is designed squarely to address not only the challenges of the modern enterprise, but also the new breed of data handlers driving the enterprise forward.
Modern cloud solutions for analytics and information management will play a significant role in enabling and simplifying self-service access to the right data at the right time by all those who need it and have a right to use it. But this approach will require a process led by a strategy that takes
When it comes to cloud deployments of analytics and information management (AIM) technology, it is no longer a question of why to adopt cloud solutions but rather when and how. Today's modern cloud solutions are open for business - open for your data and open for your applications.