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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BigML Briefing Note

Document ID: CGBN124 | Last Updated: May 4, 2018 Abstract AI skills are in short supply.  However, companies already have line-of-business analysts and subject matter experts (SMEs) that understand the need to get increasingly more value from the data they have, but lack the technical and data science-specific skills to extract that value. BigML’s mission …

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Smart Speakers? Meh. Intelligent Assistants? Yeah!

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: Ever since the launch of Amazon’s Echo device in 2014, its seems that every month brings a new development in dedicated devices that process voice commands and perform actions. However, what exactly are these devices? The popular …

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AI Today Podcast #36: Interview with Jim Adler, Toyota AI Ventures

Companies of all sorts are increasing their investment in AI. Toyota has a wide range of applications of AI, so it’s no surprise that they are interested in helping to spur further growth in the industry by investing in early stage startups that are focused on AI and Machine Learning technology. In this podcast, we …

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How Autonomous Vehicles Fit into our AI-Enabled Future

Have you ever dreamed of the day where your car could drive for itself freeing you to do other things, such as reading, catching up on emails, watching a movie, or sleeping rather than focus on the road while in the car? Automotive manufacturers and transportation technology vendors are rapidly progressing us to that goal. …

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AI Today Podcast #35: Interview with Tom Davenport, Babson College, MIT, and Deloitte — Augmented Intelligence, GDPR, Data Science, and More

In this wide ranging podcast, hear from Professor Tom Davenport, Distinguished Professor at Babson College, fellow of MIT initiative on digital economy, and senior advisor to Deloitte’s Analytics & AI practice. Tom Davenport recently wrote a piece for the Harvard Business Review on “Artificial Intelligence for the Real World”, as well as the widely promoted …

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Not all Machine Learning (ML) Is Artificial Intelligence (AI): Part II

This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: One of the great things about being an analyst at Cognilytica is that we get to see a very wide range of technologies, adoption patterns, and implementations for technology across a very disparate set of industries and …

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AI Today Podcast #34: Interview with Anant Kale, AppZen — Preventing Employee Expense Fraud with AI

Occupational fraud is not a small issue. On average, a company loses 5% of its revenues to employee financial fraud each year, with the annual median loss at $140,000 and over 20% of companies reporting losses of $1 million or more. The key to keeping a lid on this fraud is identifying the fraud before …

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