Decision Intelligence and the Future Beyond BI
As every company strives to become data-driven, decision intelligence has emerged as one of the most strategic technology imperatives today. And for good reason. Today
As every company strives to become data-driven, decision intelligence has emerged as one of the most strategic technology imperatives today. And for good reason. Today
Businesses across industries are increasingly using artificial intelligence in a variety of ways to improve their internal operations, from handling repetitive tasks to interpreting data
It may be hard to imagine today, but there was a time not too very long ago when data analysts, with a few notable exceptions,
Building AI systems requires many hours of humans training algorithms, and some companies have fallen into the gray area between training and operating. Photo: Bloomberg
Eminent 20 Century mathematician Abraham Wald once said, “the most important data is the data you don’t have”. Today, however, in our data-driven world, it is data literacy –
Strategic platforms with advanced analytics, automation, and AI are on tap for 2021, according to Deloitte. Deloitte has released a slew of predictions for 2021,
While you are exploring the world of digital ledger technology, sooner or later you are going to hear about Hyperledger. This open-source Linux Foundation pledged
For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry
Thinking about pursuing a career in ML and AI? Here’s what you need to know. Staying ahead of the tide is the mantra for today’s
Iridescent, a tech education nonprofit, teaches women and girls about AI, tech entrepreneurship and more. So far, it’s trained more than 114,000 people from 115
Machine learning, graph databases and multi-cloud — William McKnight, president of McKnight Consulting Group, sees these as some of today’s top enterprise BI and analytics
It’s not a coincidence that we associate the word lifecycle with data. From ingestion to transformation and archival – data is alive. It is the