Your data and AI tools are important, and outcomes are critical, but with today’s data-driven world, businesses must accelerate outcomes while improving IT cost efficiency. But how do you achieve this?
First, Data and AI initiatives must have intelligent workflows where the data lifecycle can work
As companies progress on their Journey to AI, there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s
Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.
IDC’s report, “Choosing the Right Database Technology in the Age of Digital Transformation” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essential
We are pleased to announce that IBM’s Operational Database Management Systems (OPDBMS) was recognized as a 2020 Gartner Peer Insights Customers’ Choice. One of our greatest joys is delivering the advanced data management capabilities clients need to fit the unique needs of their business to drive
In the years leading to 2020, public cloud databases were commonly seen as “dev/test” environments for applications living on-premises. And while this use case is important and should continue to be implemented across IT functions, businesses must expand more workloads into cloud to realize
Segmentation, targeting, positioning – how does an organization optimize these strategic approaches in the context of retention? Which factors should the segmentation take into consideration? This is where good information management and analytics come into play. Explore IBM’s solutions today:
The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also
Choosing the right data management solutions as the foundation for AI is crucial. Enabling AI optimization and usability is paramount, as is easy scalability to accommodate the increasing amount of data used by AI applications. This is true no matter where you store your data: on-premises, in the
For the past nine years, Stack Overflow, a question-and-answer website for programmers, has polled developers to understand what technologies they are using and to find out what technologies they want to work with next. This year, the nearly 90,000 survey participants revealed that, once again,
If your business hasn’t already embraced a multiple-cloud strategy, it’s likely that one is in your near future. Recent research shows that 85 percent of companies already operate in multicloud environments, and 98 percent of companies plan to be multicloud by 2021.
While cloud-based platforms
Instead of choosing between multiple download options, anyone can now download and use a single, full-featured version of Db2 for as long as they want, without paying fees, contacting an IBM sales person, providing a credit card, getting on a mailing list or enduring adware.