How to build a modern data management platform ready for the AI future
Every data architect knows the value of keeping their data management platform up-to-date and ready for the next phase. Yet how to put this into practice is not always clear. With many businesses embarking on their journey to AI
Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.
In a previous blog, I explained how data science capabilities, massive parallel processing (MPP)
and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice?
Research firm Quark +
The concept of big data fabric represents a fundamental change in how businesses approach data storage, fast data analytics, and streaming data to make it much easier, faster, and simpler to retrieve actionable information and increase the value that you can get from customer data.
IBM today announced exciting news about their Open Platform initiative with Apache Hadoop. And at its DataFirst Launch Event tonight, IBM will provide an early access view of the new IBM Project DataWorks with Watson, along with an introduction to DataFirst Services from IBM. IBM today also
The transformation of the streaming analytics market demonstrates how business process automation is being driven by innovative open source projects and an ever-increasing world of sensor-derived data. See how IBM fared among 14 commercial providers of streaming analytics in a recent Bloor Market
If you want to impress your Sunday night dinner guests with a satisfying culinary outcome from a new recipe, you wouldn’t shop willy-nilly for ingredients. The same goes for that governance or master data management initiative you need to get underway on Monday morning. When considering such
It is important to recognize that the level of integration and governance provided must be tailored to suit the needs of various stakeholders inside and outside of the organization. Some need the ability to explore raw data. Others wish to take analytical discovery into their own hands. Still
If you’ve been wondering how to heighten your organization’s collaborative capabilities, then dive into the world of cloud environments, exploring the wide range of benefits that hybrid cloud solutions bring to the modern business environment.
The insights that lie undiscovered in business data can often provide both short- and long-term competitive advantages. Find out how agile analytics platforms are helping put information in context by cataloging, integrating and aligning data.
Cognitive IoT endeavors to enhance the accuracy and efficiency of complex, sensor-driven systems through learning and infusing human awareness into devices and environments. Learn more about the significance of cognitive computing for the Internet of Things.