Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.
Advances such as blockchain technology are steadily gaining traction both in terms of investment and adoption. Well-informed IT professionals are starting to deploy these new technologies to establish a more connected, knowledgeable and secure business. Here are some ways blockchain technology and
On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness. Learn the differences between predictive and prescriptive analytics, and how to
How will technology and society change in the next 50 years? On our last podcast, we discussed how technology has evolved in the last 50 years. On our latest episode we look forward to the next 50 years. 2068 may seem far away. But futurists like Rajeev Saxena, IBM Watson amd Cloud Platform Program
“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.
In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics
Natural disasters seem inescapable, leaving us feeling vulnerable in the hands of nature. How is this possible, given all the data and technology that surrounds us today? Can’t experts get better at prediction, and even try to stave off more natural calamities or more effectively reduce the loss of
So what happens now when we go beyond the frontiers of the data warehouse and into the world of the data lake? – the world of Hadoop, of NoSQL, the world of schema on read, of discovering the data as is? For many organizations, the holy grail is to reap the benefits of the data lake while retaining
Floppy disks, punch cards and BASIC — we’re taking a trip down tech memory lane. How has technology, specifically in terms of data management, evolved in the past few decades? On the latest episode of Data Decoded, Andy Leonard, founder and chief data engineer at Enterprise Data & Analytics,
More than 75% of C-level executives consider it a top priority to better leverage data and analytics in their decision-making. Unfortunately, less than half of individual workers say the same — a disconnect that highlights how hard it can be to make those C-level priorities a reality.
The modern data landscape demands more than one type of database. That’s IBM has rolled out JSON-document-based databases in Db2 and Cloudant, as well as partnered with select database providers to offer developer-focused database services through the IBM Compose platform.