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A world built on Enterprise AI

As iWork Technologies is preparing to leverage AI in its applications, we take a look at some of the prominent Enterprise AI evangelists and the strides they've made to improve the way we see data.

1. Gro Intelligence – BIGDATA

The AgriTech startup is no longer a startup as a Series B funding of $85M puts it on par with many tech companies trying to leverage bigdata.

Gro was founded by the Ethiopian born Sara Menker, a commodities trader from Morgan Stanley in her Finance days, she started to think about a platform that could aggregate all of the components of the food supply value chain.

As it happens, it was inexistent at the time so she decided to create one. Gro Intelligence has made great strides with Clews, its inhouse platform that can be used by speculators, distributors, regulators and so on.

2. UiPath – RPA/IPA

Robotic Process Automation is synonymous with UiPath. The 16-year-old automation company was co-founded by a very ambitious ex-Microsoft employee, who left the Seattle based company to move back to Romania.

UiPath is the leader in RPA, the technology that lets organizations automate mundane back-office applications like invoice processing, expense approvals, report generation etc.

The company is also utilizing the power of AI to turn to Intelligent Automation, whereby bots are deployed with the intent of giving them cognitive resources to make conscience decision making.

3. DataRobot – AutoML

With organizations getting more use of their data, autoML is the next frontier. Luckily, it’s already here!

With autoML platforms like DataRobot, it is now much easier to consolidate data, structure it and build predictive models. Real world problems can now be easily tackled with DataRobot, helping analysts to answer their questions of what the future will look like.

One of the use cases that turned to amplify DataRobot’s was the Philadelphia 76ers season-ticket renewal. The Sixers held the No.1 slot for full season ticket holders yet the basketball team was not at its best on the court. But promising signs prompted the organization to work on a model for season-ticket holders retention process.

Targeted outreach was done using the DataRobot designed models, a testament to the power of autoML.

4. Grammarly – NLP

The AI powered writing assistant has become popular with not just writers, bloggers, and columnists but also for the every day joe who send out emails and compose quirky love poems.

It uses NLP or Natural Language Processing, a branch of AI that uses algorithms to deciphers text in order to give a meaningful response to a human request.

Grammarly claims to ‘build the future of communication’. Human language is naturally hard to copy, yet with NLP, Grammarly is pushing to polish out the nuances and curate a portfolio of products that go beyond spelling and grammar correction.

5. Tesla (Autopilot AI) – Computer Vision

Hardware, Neural Networks, Autonomy Algorithms, Code Foundations, Evaluation Infrastructure. These are the titles you see on Tesla’s Autopilot page.

Computer vision is a sort of the poster child of Artificial Intelligence, it works by annotating shapes, colors, sizes in images or videos. Computers then interpret the vision they see and classify them to generate a response.

Tesla has depended on computer vision to build their autopilot platform. First introduced in 2014, the sophisticated software has been an integral part of all Tesla models. It’s application in the real world is a testament that an autonomous world could soon be a reality.

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