Domino Data Lab QuickTake

Document ID: CGQT141 | Last Updated: May 24, 2018 Abstract Domino Data Lab is an enterprise data science platform focused on helping data scientists build and run a wide range of data models, including those focused on AI and Machine Learning (ML). The main emphasis of the company’s solution is on providing a collaborative environment …

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Chasing the Elusive Machine Learning Platform

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: If you have been following the breathless hype of AI and ML over these past few years, you might have noticed the increasing pace at which vendors are scrambling to roll out “platforms” that service the data …

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Amper Music QuickTake

Document ID: CGQT134 | Last Updated: May 23, 2018 Abstract Amper Music is a cloud based Artificial Intelligence (AI) music composer. It uses a range of AI and Machine Learning (ML) algorithms to produce music tracks that are of commercial quality. The company’s solutions allow non-musical users to create, edit, and customize music according to …

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AI Today Podcast #38: Interview with Dragos Margineantu, Boeing

The use of Artificial Intelligence (AI) is everywhere and in all industries. In this podcast, we interview long-time AI researcher and thought leader Dragos Margineantu, AI Chief Technologist at Boeing, who shares with us how Boeing is using AI and Machine Learning (ML) for its operations, manufacturing, supply chain, and Internet of Things (IoT) interactions …

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Adobe Sensei QuickTake

Document ID: CGQT120 | Last Updated: May 22, 2018 Abstract Adobe Sensei is an augmented intelligence offering that aims to give users of the Adobe suite of products access to an intelligent assistant that can assist them in taking their creative abilities to the next level. Rather than being a standalone product, Adobe Sensei is …

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Catchoom Briefing Note

Document ID: CGBN125 | Last Updated: May 13, 2018 Abstract Without the power of AI and ML, humans would have to do the work to look at a video or image and determine what the specifics of those images are for a particular purpose. Now, with sufficient training on ML neural net models leveraging technologies …

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DigitalGenius QuickTake

Document ID: CGQT140 | Last Updated: May 20, 2018 Abstract Applying AI and Machine Learning (ML) to the area of customer support and customer service is a no brainer. It’s one of Cognilytica’s main classification areas for use cases of AI as applied to industry-specific (vertical) applications of AI.  As such, the market for AI-based …

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The Implications of Google Duplex

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: The recent demonstration of Google Duplex by CEO Sundar Pichai has grabbed the world’s attention. The demo shows a pre-recorded, and supposedly realtime, interaction between an experimental Google voice assistant, called Google Duplex, interacting with a receptionist at …

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AI Today Podcast #37: Life with Level 5 Autonomous Vehicles

Ever wonder how fully autonomous vehicles at Level 5 on the Society of Automotive Engineers (SAE) classification will impact your life? How will the way you live, work, interact socially, and care for the needy, disabled and elderly change when vehicles that can drive themselves safely from point to point and be beckoned at any …

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Anaconda Briefing Note

Document ID: CGBN123 | Last Updated: May 4, 2018 Abstract In the context of Machine Learning (ML) and AI, data scientists are the ones who figure out how to apply ML algorithms and approaches to data to gain the insights necessary to power intelligent applications. As such, data scientists, and an emerging new class of …

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