Apr 8, 2020 11:40:04 AM / Alex Li

(Before & After Augmented Analytics - Blog 3 of 4) 

The travel industry was one of the first to welcome the digital shift from brick-and-mortar (the in-office travel agency) to the online store (DIY booking travel websites like Cheaptickets, Expedia, and Travelocity). But in the last two years, travel companies have started exploring more advanced big data analytics applications that are unique to their

Topics: Augmented Analytics, Data Analytics, Smart Analytics, Travel

Apr 3, 2020 10:18:53 AM / Alex Li

(Before & After Augmented Analytics - Blog 2 of 4) 

This week, smart thermometer company Kinsa shared anonymized data that showed U.S. regions where people were registering a reduction in the number of fevers. The goal was to help health care professionals and local governments get a better picture of where the Coronavirus might be slowing, and if their efforts were paying off. 

Topics: Augmented Analytics, Healthcare, COVID-19

Apr 1, 2020 10:45:00 AM / Alex Li

(Before & After Augmented Analytics - Blog 1 of 4) 

In the last decade, the education industry has gotten a reality check: the system had seen virtually no significant innovation since the old schoolhouse days. Teachers, with the few classroom resources they had, administered “one-size-fits-all” lessons that didn’t cater to students’ individual different learning styles or skill levels--and were often presented in the same non-interactive way they had been since school’s earliest days.

Topics: Augmented Analytics, AI

Feb 5, 2020 1:31:31 PM / Alex Li

Imagine a kitchen stocked with every ingredient a budding chef could possibly want, but with one problem: there are no recipes to be found anywhere. 

Topics: Augmented Analytics

Dec 5, 2019 3:28:36 PM / Alex Li
 
One of the most challenging aspects of analytics investigations is the back and forth among product teams. An analyst usually needs to run multiple queries that yield multiple charts to make sense of the numbers. Trying to share findings often involves long email threads, where charts and comments are easily lost, and data teams typically end up revisiting the same points again and again.
 
And even when information isn't lost, analysts too often have to reproduce earlier investigations just so they can follow the thoughts of their team members. It's a frustrating and inefficient process. 
 

Topics: Augmented Analytics, Diagnostics

Oct 4, 2019 3:26:29 PM / Alex Li

Disruptive technologies are often scary, especially to people who fear that the technologies will make their jobs and possibly even their careers obsolete. Imagine how much the carriage driver must have feared—and likely hated—those “horseless carriages” that have revolutionized the way that we travel. What the Luddites fail to grasp is that those new technologies often create more jobs than they supplant. They also free up our time so we can devote ourselves to more satisfying work. After all, who really wants to do a tedious task that a machine can do for us?

Topics: Augmented Analytics

Oct 4, 2019 3:24:00 PM / Alex Li

In many ways, technology is the great equalizer. A person with a minimal amount of knowledge but with the right tools can easily tackle tasks that taxed history’s brightest minds. A five-year-old child with a pocket calculator can tabulate products that would have frustrated Pythagoras. A nine-year-old with a few hours of training on Adobe Photoshop can create images that look like they were made by a professional graphic designer. And when someone uses technology enabled by AI, it’s hard not to look downright brilliant.

Topics: Augmented Analytics

Oct 4, 2019 3:22:19 PM / Alex Li

A decade ago, the top-of-the-line flat-panel TV, the 50" Pioneer Elite Kuro PRO-110FD, cost more than $7,000. CNET’s top-rated TV of 2019, the 65" LG OLEDB9PUA, sells for about $2,300. Consumers get more and better for less because the manufacture of televisions has become increasingly automated. And what’s true for televisions is true for so many of the other manufactured devices that enrich our lives: the more work the machines do, the less we have to pay.

Topics: Augmented Analytics

Oct 4, 2019 3:19:49 PM / Alex Li

The world is flooded with data, which is both a blessing and a curse. We’ve developed an astonishing array of tools to measure outcomes and to track events, giving us the ability to describe the past and predict the future, with bewildering accuracy in some cases. But we’ve also created a data deluge that often overwhelms those who try to swim its currents. There aren’t enough hours in the day to analyze all the data available to even a single organization.

Topics: Augmented Analytics