How much time do your data scientists and business analysts spend looking for the right data? How much time do they spend preparing data? And how much time is wasted because they don’t know how trustworthy the data they find is; they find several people have unknowingly spent time looking for the
Does your company have a single source of truth for your business’ most important data? Then it’s time to learn why you need to invest in product information management.
Product information management (PIM) is a subset of the overarching Master Data Management (MDM) space, and it’s primary use is
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
Is your business ready to harness the power of AI to unlock value from all your data? Are you just getting started on your company’s path to AI – or are you working to scale AI to more areas of your enterprise business?
Regardless of where you are on your journey to AI – you should consider
The event formerly known as IBM Analytics University is happening again this fall. Join us at the Data and AI Forum on October 21–24 in Miami, Florida. Here’s a preview of what you can get out of this exciting event.
For 2019, we’ve expanded the curriculum to include the entire IBM Data and AI
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
Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’ expectations, leveraging data and AI at the speed of business can be the biggest differentiator.
However, according to MIT Sloan, 81
The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve.
Data-powered businesses need always-on access to data to keep operations
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,
IBM continues to increase support for open source technologies. Today, we are pleased to announce that Cloud Pak for Data System now features a new capability for Postgres workloads—the IBM Performance Server for PostgreSQL.
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 +