6 AI Startups We’re Keeping an Eye On

Written by YvesMulkers | Published 2017/05/28
Tech Story Tags: aaron-bird | artificial-intelligence | business-to-business | causality | data

TLDRvia the TL;DR App

The other day, I was airing some grievances to a friend. The whining topic du jour: artificial intelligence, or AI.

“Every time I hear about it, I think, ‘Sure, that’s cool,’” I said. “But sometimes I wish it would slow down — there’s so much happening there, and so fast.”

“Well, I have bad news for you,” my friend told me. “It’s not going away anytime soon.”

He was right. AI continues to be all the rage in the worlds of both tech and business, and is growing at a lightning-fast pace. At the most recent Google I/O, an entire suite of new AI-related product features were unveiled. Microsoft, meanwhile, launched an entire investment arm dedicated to this type of technology. And as research from CB Insights indicates, in 2016, over 500 AI startups raised roughly $5 billion in funding.

But which ones are going to stick around?

We thought you might ask that — that’s why we sought out the six that have piqued our greatest interest. We’ve listed them below and summarized what it is that they’re trying to do … and why they’ve got our attention.

In its earliest days, Bizible’s revenue attribution product provided technology to help its customers better assess spending activity and make better decisions. Now, its new revenue planning product uses machine learning to help B2B marketers plan for every revenue-related scenario. Think: The product crunches the historical revenue attribution data to help predict what GeekWire calls “‘what if’ scenarios — like increasing marketing spend … or reducing event sponsorship budgets.”

We love it when companies examine what they already do best and say something like, “Wait a minute — we can use this information to make something even better.”

In Bizible’s case, that was the marketing expenditure data it already organized and helped customers analyze. The next step, the company decided, was to help marketers make even better use of that data — with the help of intelligent algorithms that predict the results of a given current spending track, and provide budgetary alternatives that address the aforementioned scenarios.

It’s that AI technology, CEO Aaron Bird told GeekWire, that helps marketers “have a good understanding of causality in the past … in order to do a good job of planning the future.”

New-York-based UiPath is known best for its robotic process automation (RPA) technology — the kind that helps to automate what can become tedious business tasks, like data entry. As PYMNTS explains, eliminating the need for human labor on such processes can help “companies save money by offloading these tasks from human contractors.”

To be completely honest — the type of technology being created by UiPath scares us a little. The potential drawback of human job elimination by way of AI continues to be a hotly-contested topic, and while it does make us slightly shake in our boots, we can’t help but be fascinated by the companies that throw their respective hats into that particular automation ring.

But we also find ourselves drawn to the UiPath Academy — a “free of charge, self-led online learning environment where anyone in the world can enroll and train to obtain a UiPath RPA certification.” The point of that certification? Creating more RPA experts that can help companies implement and make the best use of technology like UiPath’s.

From a certain perspective, that could be seen as UiPath’s method of countering the potential job elimination resulting from widespread RPA — by cultivating a population of experts who know how to make the best use of AI within certain organizations.

In the B2B realm, most marketers don’t spend a ton of time thinking about how they would make use of a fleet of drones — at least, we don’t. That is, until we learned about vHive: The maker of cloud-based technology for enterprise-level organizations that want to use drones to manage field operations.

Drones are an area of technology that’s seen mixed results over the past decade.

Originally Posted on 7wData.be.


Published by HackerNoon on 2017/05/28