Tag: Guest Post

Yotam Spenser, Head of Data Engineering at WalkMe, discusses the nature of the WalkMe Insights product offering, some of the challenges that arose as they developed this technology, and how they came to a solution. 

Kyrus is focused on solving what we call the associated “patient access paradox”–a situation in which patients wait long periods to see providers while appointment capacity simultaneously goes unutilized, even at top health systems.

The travel industry is quickly changing to adopt artificial intelligence (AI). However, it has yet to make effective use of the rich data that the industry has accumulated over the years. As a solution, MyCelebs—a global AI agency that prides itself on the strength of its pragmatic, efficient, and business-ready approach to AI transformation—provides a collaborative opinion recommendation service engine.

In this article highlighting AWS’ partnership with CryptoMove, we’ll discuss how innovations like moving target defense make the cloud more secure and effective for developers.

With an aim to make the overwhelming variety of master data simple to consume, Bernhard Bicher and Tobias Widmer founded Onedot in 2014 in Zürich Switzerland, with a focus on processing structured and semi-structured product master data.

As an SAP Operations Manager you need to ensure that IT systems are operating at maximum efficiency and in a Known Good State.

Every organization—small, medium or large—requires a service desk to deal with requests originating from customers and employees; they basically need a ticketing system that tracks the submission and resolution of problems.

Since CANDIS manages a service center of trained professionals that extract data from uploaded documents and annotate them with relevant financial metadata, our data scientists had access to a growing dataset they can experiment with.

In the fall of 2016, Jeff Gerber, Suplari’s co-founder and CTO, approached me with a simple solution to a growing business problem. He had noticed that most data within organizations was too siloed, making it hard to surface basic analytics.

When we started GenY Labs a couple of years ago, infrastructure was one of the biggest challenges for us. It wasn’t easy to find machine learning-tuned hardware.