As organizations become more data-driven, they need to manage large volumes of data in a simplified and cost-effective way in order to remain competitive and nimble. Data stored in various data repositories, whether it be generated by client-facing applications or different internal and external
Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data, our modern data and AI platform, we have containerized numerous offerings and delivered them as
Many large organizations still have a large amounts of data on-premise, but also need data from a public cloud. Regardless of where the data resides, organizations can build a trusted data source from which they can drive key business insights and derive significant sustained advantages. Here's how.
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
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
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
Regulations to protect the banking industry’s institutions, consumers and the economy continue to evolve, which escalates the complexity of banks’ imperatives to ensure accuracy, completeness and lineage of data. The IBM InfoSphere Information Governance Catalog offers banks an easily accessible,
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and saving time spent on implementation. Discover the four essential capabilities of a strong MDM solution and how they can help you
Data can be the lifeblood for empowering healthcare organizations to proactively enhance patient outcomes. See how two healthcare entities applied master data management to innovate successful healthcare initiatives.
“Let’s say there was a magical crystal ball to predict the future,” says John Choi, director of product management and strategy for the IBM Big Data portfolio. “If you could look into that crystal ball, you’d know a lot more about your customers.” That kind of end-to-end predictive analytics
"Most companies are simply not doing enough with their data—leaving them hungry for success.” But, as John Choi, director of product management and strategy for IBM's big data portfolio, explains, that’s exactly what IBM InfoSphere BigInsights for Hadoop wants to change.
Learn why IBM + Hadoop