Real-World, Industry and Adoption focused Market Research and Intelligence on AI.
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 …
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 …
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 …
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 …
Read moreAI Today Podcast #37: Life with Level 5 Autonomous Vehicles
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 …
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 …
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 …
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 …
Read moreAI Today Podcast #36: Interview with Jim Adler, Toyota AI Ventures
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. …
Read moreHow Autonomous Vehicles Fit into our AI-Enabled Future
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 …