AI Today Podcast

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 it takes too much of a bite out of the company’s bottom line, or even further, to put processes...

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), Kathleen Walch(Cognilytica), Jose Arrieta(US Department of Heal...

How exactly do you define intelligence? Professor Alex Wissner-Gross, President and Chief Scientist at Gemedy and Fellow at Harvard Institute for Applied Computational Science has an answer. In this podcast, we interview Professor Wissner-Gross not only about his equation for defining intelligence, but also his thoughts that we need new challenges around data sets, as he believes data sets will ge...

Understanding Artificial Intelligence (AI) and all its various details including Machine Learning (ML) and Deep Learning is not easy. So it’s always a great delight when someone like Siraj Raval can explain these concepts and work through them in a practical way on his YouTube channel, and his new School of AI. In this podcast, we talk about the importance of data for AI, his thoughts on the futur...

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 or manipulate the data at th...

Every once in a while we have a podcast interview with someone that really makes us rethink some of the popular positions in Artificial Intelligence (AI) and Machine Learning (ML). This podcast’s interview with Luis Perez-Breva, faculty director of innovation teams at MIT’s School of Engineering and working with MIT Sloan School of Management, was one of those that really got us thinking about the...

On Sunday, March 18, 2018, an autonomous Uber vehicle operating in autonomous mode struck and killed a pedestrian crossing the road — the first fatal autonomous vehicle accident on a public road to occur. We’ve now crossed the realm from the theoretical of what could happen in this scenario to the reality of the situation actually happening. Continue reading AI Today Podcast #29: The First Autonom...

Buckle your seatbelts. In this podcast, Cognilytica analysts Kathleen Walch and Ronald Schmelzer explain their vision for what the AI-Enabled Future looks like. Cognilytica believes that AI will impact all aspects of business, personal, and social life, and in this podcast, they explain the four major aspects in which AI will impact our every day lives. Continue reading AI Today Podcast #028: The...

AI is impacting all industries and aspects of society, and music is no exception. In this AI Today podcast, we interview YouTube Celebrity, actress, and musician Taryn Southern who has released an album entirely produced and composed by AI called “I  AM AI”. We discuss the four (and maybe even five) tools that Taryn used to produce this album as well as how easy it is for creatives to get started...

Chatbots, er… maybe we really mean Conversational Interfaces… are becoming more and more ubiquitous and part of our every day business and consumer lives. There’s a wide variety of both text- and voice-based conversational interfaces and devices. But the ones we’re most familiar with are the voice-based ones that sit on our countertops and office desks. Continue reading AI Today Podcast #026: Cogn...

In this podcast, we interview Matt Gardner who heads digital strategy for the St. Louis Blues professional hockey team (NHL). The St. Louis Blues have implemented an AI-powered Facebook Messenger bot tool to enhance the fan and spectator experience. Matt realized that fans  want to be engaged through social media moreso than websites and email. Continue reading AI Today Podcast #025: Interview wit...

In this podcast, we are thrilled to interview Ofer Ronen, who is a general manager of Chatbase, which is a special project within the Google 120 internal project incubator. Chatbase is pioneering the space of chatbot analytics, and with the backing of Google it’s sure to be dominant in the market. In this podcast, we talk with Ofer about Chatbase, so-called “UMM” errors in chatbots, and also how t...

In today’s podcast, we’ll address some interesting hot topics that have recently been making news in the AI industry. In particular, Cognilytica senior analysts Kathleen Walch and Ronald Schmelzer talk about Hanson Robotics’ Sophia Robot that’s been making significant waves in popular media and press. We talk about whether Sophia is really advanced, how it’s helping … or not… the field of AI, and...

Robotic Process Automation (RPA)  is making significant improvements into company’s operations by replacing rote human activity with automated tasks. Artificial Intelligence (AI) is poised to give this new engine of productivity a gigantic boost. Systems that leverage machine learning (ML) to dynamically adapt to new information and data will shift these systems from mere robots that automate proc...

In this podcast, Cognilytica analysts interview Santiago Braje, Global Head of Credit Trading at ING, who is the primary lead of “Project Katana”, a special AI-driven internal project funded by ING’s innovation fund. The goal of project Katana is to provide an Augmented Intelligence platform that assists bond traders in market making. The primary problem they are solving is how to respond to reque...

Many see the future of artificial intelligence (AI) as the replacement of human activities with fully autonomous agents, freeing up  or replacing existing human labor to provide greater value for the organization. However, for many companies, fully substituting autonomous agents for their human counterparts is not technically possible at the moment and also may not be feasible or practical. Contin...

To solve the needs of customers trying to evaluate the constantly changing landscape of AI solutions, we’re introducing the Cognilytica AI Positioning Matrix (CAPM)™. The goals of the CAPM matrix are two-fold: identify for each particular application of AI, what the “sweet spot” of required complexity for AI solutions are and how broadly applicable to a range of AI problem areas that solution need...

2018 is here! And we expect it to be a significant year for AI advancement. In particular, we have eight predictions that we believe will come to fruition in this upcoming year. Listen to this podcast and check out the accompanying article to hear about what we believe 2018 has in store for AI and the industry as a whole. Continue reading AI Today Podcast #018: Cognilytica AI Predictions for 2018...

E-commerce has fundamentally changed the nature of retail. The Internet and the world of e-commerce that was created and then mobile has made it such that you can now go from wanting an item to having it in a matter of hours without ever stepping foot outside your home or office and you also have access to a much larger selection of goods. Continue reading AI Today Podcast #017: Assistant-Enabled...

The more we involve AI in our daily lives, the more we need to be able to trust the decisions that autonomous systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. AI black boxes are scary when the decisions they make impact people personally. Continue reading AI Today...

The more we involved AI in our daily lives, the more we need to  be able to trust the decisions that these systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. As the consequences of mistakes become more significant, it becomes more important to have visibility into t...

What do you get when you combine two hot buzzwords? Something super hot, of course. In this case, we’re talking about the combination of Internet of Things (IoT), which has been an area of significant investment and adoption with Artificial Intelligence (AI) which is gathering more and more steam as time progresses. What’s interesting is that AI is uniquely suited for gathering critical informatio...

The basis for most modern AI systems are Machine Learning and Deep Learning. It goes without saying that in order for something to be “learning”, something has to teach it. Specifically, what makes these systems effective is a large quantity of good training data that is relevant to the area in which you’re trying to gather intelligence. Continue reading AI Today Podcast #013: Avoiding Biases in A...

Humans were born to talk and communicate. Much of the brain is devoted to generating, sensing, processing, and understanding speech and communications in its various forms. When humans were building their first civilizations we were also expanding the spoken and written form of communication. We didn’t start communication with swipes and types, in fact for most of human history we did not have tec...

Companies across the board are investing in AI, and certainly automotive companies are ahead of the pack. The progress towards autonomous vehicles, more intelligent driving assistance, and even things like automated parking and crash avoidance are all evidence of AI impacting the automotive industry in deep ways. In addition, there’s a wide range of non-AI technologies that are also providing comp...