Enterprises across the globe are analyzing large datasets to uncover patterns and valuable insights, which in turn inform their decisions. These business insights and decisions result in several benefits for enterprises such as: lower costs, improved operational efficiency, new revenue streams, fraud detection, increased customer engagement and satisfaction, competitive advantage, and more. Analytics at Cloud... more
In 10 Ways CDOs Can Succeed in Forging a Data-Driven Organization, Gartner Inc. states, “Culture and data literacy are the top two roadblocks for data and analytics leaders.”[1] It also states, “One cannot change the behaviours and belief systems of an enterprise without changing the conversations within it.”[2] So how can chief data officers (CDOs)... more
As any student in design school can tell you, the first design principle you come across is “KISS” (Keep It Simple, Stupid). This acronym, attributed to the late Lockheed Skunk Works lead engineer Kelly Johnson, is best understood if you remember that Lockheed’s products were often designed to be used in the theater of war.... more
Learn how the integration between Datumize Data Collector (DDC) and Informatica Data Engineering Streaming (DES) allows companies to enjoy valuable and timely insights about movements inside their facilities. This blog is co-authored by Nacho Lafuente, Founder & CEO, Datumize. In recent years, location-based analytics has opened the door to a new competitive intelligence for companies... more
In this first of our three-part blog series focusing on the application of streaming analytics to an industry problem, we cover use cases in the healthcare sector. The emergence of real-time streaming analytics technology in the last decade has significantly improved medical analysis while reducing the workload on nurses and doctors. Using Internet of Things... more
Earlier this year, Alex Tim and I delivered a workshop at the UX STRAT conference in Amsterdam. We developed our “AI Design for Enterprise Products” workshop for UX designers across industries, and centered around our experience working on CLAIRE, Informatica’s cutting edge AI technology featured in many of the company’s products. We spent the majority... more
We all know the old maxim “garbage in garbage out.” That is as true for the most sophisticated AI and machine-learning models as it is for basic reporting. And that points to a deeper truth that gets lost in all the hype around AI-powered analytics and applications – the hardest part of AI isn’t AI,... more
Algorithmic decision making has become prevalent in systems such as online search, social media, productivity software, and autonomous vehicles. While these intelligent systems powered by AI offer tremendous benefits, the algorithmic decision making behind them often feels like a mystery. Without giving much thought to it, I used to blindly follow my friends’ activities on... more
“I wonder, he wondered, if any human has ever felt this way before about an android.” – Philip K. Dick, Do Androids Dream of Electric Sheep? If we are living through the era of the next industrial revolution—as many claim—Artificial Intelligence (AI) is surely its main driving engine. It is difficult to think of an... more
We all know the problem – businesses today have more data than ever: the total volume of data generated by IoT will reach 600 ZB per year by 2020. Yet many struggle to understand how to leverage their data effectively and scale business value. As a leading data analytics visualization company, Tableau has been on... more