With data at the center of the digital revolution of the energy industry, oil and gas companies have a great need for candidates ready to tackle data challenges from day one. Students with well-honed data and analytics skills are already a step ahead when going through the recruiting process. Yet, many universities struggle to provide adequate coursework covering these skills. … [Read more...] about Analytics help students stand out at the University of Houston
“The biggest challenge to AI is us”: 2019 TAF
Whether your company is leading the charge forward or picking up the gauntlet thrown down by other digital leaders, everyone can find inspiration from the discussions at the 2019 TAF. In case you missed this one-of-a-kind event or need a quick recap to take the insights learned home with you, we’ve got our ear to the ground with conversations from TAF 2019. Kicking off … [Read more...] about “The biggest challenge to AI is us”: 2019 TAF
Which type of analytics is right for you?
Most organizations today are focused on becoming data driven and infusing data and analytics into their business processes. But many executives aren’t aware of the different types of analytics and their varied uses. Breaking that down further, there are users who don’t know what they don’t know, clueless to the “unknown unknowns”, and then there are those who understand the … [Read more...] about Which type of analytics is right for you?
Why you need streaming business intelligence for your digital business
In the past, business intelligence (BI) operated like looking in a rear-view mirror, working from historical data to make decisions. It couldn’t work with real-time data. And business users were forced to wait for IT teams to deliver insight with many delays. Obviously, this process didn’t meet the needs of modern digital businesses. They needed a solution that would allow both … [Read more...] about Why you need streaming business intelligence for your digital business
6 steps to creating smarter apps with data science and machine learning
In our previous blog, we discussed best practices and challenges for applying data science. Now that we have some best practices in mind, let’s think about a specific use case: app development. Today's users demand more information than ever before, faster than ever before. To deliver that information in real time, you need to design smarter apps. And to do that … [Read more...] about 6 steps to creating smarter apps with data science and machine learning