Real-World, Industry and Adoption focused Market Research and Intelligence on AI.
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 …
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
For our podcast listeners and followers, we have a special treat for you on this podcast. Be our special virtual guest and listen to an expert panel from the Conference on Technology and Future Economy 2018 talk about AI and Blockchain. Moderated by Professor Jim Liew (Johns Hopkins University), panelists were Reem El Seed (Deloitte), …
Read moreBonus AI Today Podcast: AI & Blockchain Panel from TFE 2018 Event
Document ID: CGBN117| Last Updated: Apr. 7, 2018 Abstract In this latest wave of interest in Artificial Intelligence (AI), much of the attention has gone lately to neural network-based approaches to Machine Learning (ML), and in particular, Deep Learning algorithms. However, there are a number of approaches to ML that have widespread use and also …
Document ID: CGBN115 | Last Updated: Mar. 25, 2018 Abstract One of the key capabilities that Artificial Intelligence (AI) provides is the ability to perform a wide range of computer vision tasks, from image recognition and identification to anomaly detection and object counting. However, it’s a challenge to get access to AI-enabled computer vision capabilities …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: Artificial Intelligence (AI) is not the only technology that’s getting a lot of media and investor attention these days. Blockchain is emerging as a technology in its own right separate from the much-hyped rise in value of …
Read moreAI & Blockchain: Double the Value or Double the Hype?
One of the other trends making the news and getting lots of attention is Blockchain. Proponents of blockchain claim that it will have fundamental, ground-breaking impact on all industries, changing the way that we transact with one another. Blockchain will enable greater degrees of transparency, trust, and decentralized control where governments and companies can’t own …
Read moreAI Today Podcast #31: AI and Blockchain — Double the Hype or Double the Value?
Document ID: CGBN110 | Last Updated: Mar. 25, 2018 Abstract Language is key to communicating, and without communication it’s hard to see how anything could have developed in human society. Even in the case of human-to-human communication, the various languages we’ve invented seems to get in the way of effective communication. Headquartered in Lisbon, Unbabel …
Document ID: CGBN112 | Last Updated: Feb. 7, 2018 Abstract Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere …