The Alldus Podcast - AI in Action

Today’s guest is Robert O’Callaghan, Director of Data Science at Ayasdi. Robert engages in the identification, analysis, modeling and visualization of data to produce actionable business improvement for the world’s largest organizations at Ayasdi, who are the global leader in the development of enterprise-grade, machine intelligent applications for financial services. Robert has successfully implemented machine learning solutions within several Fortune 500 companies, focusing in particular on bleeding edge unsupervised learning technique. He has also presented internationally at Financial Services and AI conferences on these successes. In the show today, Robert will tell you about: His journey to joining Ayasdi Challenges of working within Data Science Interesting projects at Ayasdi, such as an anti-money laundering process How Data Science and Automation is changing the Financial Services sector The importance of effective communications

Today’s guest is Niall O’Connor, who is the CTO at Genospace. Originally from Ireland, Niall is a pragmatic engineering leader motivated by delivering meaningful, innovative and secure technology in healthcare and life sciences. He has grown organisations from being the only engineer to a group delivering products generating multi-million dollar recurring revenue. Based in Boston, Genospace improves patient outcomes with cloud-based software that gives you instant access to analytics and data insights. Genospace has worked with a number of leading companies engaged in personalized medicine and in January 2017, Genospace became part of the Sarah Cannon Cancer Institute at HCA Healthcare. In the show, Niall will share with you: How he came to set up Genospace Using genomics medicine to improve patient outcomes Challenges of working with health data and documents Advice on how to build an effective data science team What’s in store for the future of Genospace and healthcare A real-world story on how Genomics can improve people’s lives

Today’s guest on the show is Marc Held, who is the CEO at ODYN. Based near Boston, ODYN help large manufacturers across the world synchronize their supply chains and reduce their in-transit inventory using low-cost pallet tracking and machine-learning. No matter which mode of transportation or carrier you’re using, ODYN can monitor the location and environment of your shipments from end-to-end. This allows you to ensure integrity and service level by gathering your data to see how trade lanes are performing. In the episode, Marc will discuss: The problem they are looking to solve at ODYN How they track the movement of shipments for large manufacturers Benefits that ODYN are bringing to customers How AI and Machine Learning is impacting the supply chain and logistics Current AI trends that excite him Advice to companies who are looking to apply AI within their business

Today’s guest on the show is Hamid Nawab, co-founder and Chief Scientist at Yobe Inc. Based in Boston, Yobe are bringing AI into the world of signal processing to introduce intelligent behavior much earlier in the process with “Signal Processing That Thinks.” While processing signals acquired in “noisy scenarios,” this type of advancement in technology enables platforms to accurately separate voices of interest from the background and near-field noise, in essence harnessing the “DNA” of individual voices. This allows Yobe’s technology to improve the overall sound quality and speech command accuracy for far-field applications and speaker identification platforms, which dramatically reduces error rates associated with noisy environments. In this episode, Hamid will tell you about: Yobe’s work with signal processing for speech recognition His research into the problem he was looking to solve The inspiration to set up Yobe Challenges of working with voice recognition technology How Yobe helps make your smart devices smarter Where AI and Machine Learning is heading in the near future

In today’s episode, our guest is Jeff Orkin. Jeff is the Founder and CEO at Giant Otter Technologies, who are building a future where machines can participate in extended, coherent, context-rich conversations with people. The Giant Otter conversation authoring platform builds bots bottom-up from call recordings and live chat transcripts. Based on 10 years of research originating at MIT, their technology provides a structured, reliable, repeatable process to automate conversations directly from data. Giant Otter are developing new frameworks for artificial intelligence, capable of exploiting multiple representations of meaning, maintaining coherent dialogue over many turns and explaining their own decisions. In the episode, Jeff will tell you about: The inspiration to set up Giant Otter Technologies Creating coherent conversations between human and machines The task of adding context to Conversational AI Benefits that automation and chatbots can bring to your business Exciting projects coming up at Giant Otter Where he believes AI and Deep Learning is heading in the near future

Today’s guest is Scott Clendaniel. Scott is the Lead Data Scientist of the Strategic Artificial Intelligence Lab at Legg Mason based in Baltimore, Maryland. Scott is aiming to create cutting-edge Artificial Intelligence accessible by all. He specializes in designing and developing new Machine Learning departments for mid-large size organizations. In this episode, Scott will discuss (all opinions are his own): Is AI living up the hype? Examples of AI being used in industry, such as fraud detection Challenges of applying AI within your organisation The role of Deep Learning and XAI His thoughts on what AI will bring in the near future

Today’s guest on the AI in Action podcast is Nachi Junankar, CEO and Founder at Avrio AI. Avrio AI are building an AI platform that uses machine intelligence to bring people and companies together through their Artificial Intelligence Talent Platform. Avrio AI analyzes and matches data from your ATS using their proprietary Machine Learning algorithms and the AI chatbot “RIO” engages and screens candidates and applicants to eliminate one-third of a recruiter’s workload. This allows them to focus their time and effort on building stronger hiring manager, customer and candidate relationships. In the episode, Nachi will tell you about: His background and who are Avrio AI Challenges he faced in setting up Avrio The benefits Avrio can bring to customers The impact he would like Avrio to make in recruitment His opinions on where the future of Artificial Intelligence is heading

Today’s guest on the show is Noah Gift. Noah is the founder at Pragmatic AI Labs, which offers unique Cloud-Native projects. With decades of experience in researching, designing and setting up reliable scalable systems, their team of experts is a globally recognised authority. Whatever your need, they have it covered from on-site/remote consulting, support and development, to architecture/code reviews and training. Noah is also a lecturer at UC Davis Graduate School of Management’s MSBA & Northwestern Graduate Data Science program. He has published close to 100 technical publications including two books on subjects ranging from Cloud Machine Learning to DevOps, with his most recent book Pragmatic AI: An introduction to Cloud-Based Machine Learning published in 2018. In the episode, Noah will tell you about: How he became interested in AI and Machine Learning The work he did at his previous startup ScoreSports Using Machine Learning predict the impact of athletes’ social media engagement What inspired him to set up Pragmatic AI Labs Interesting books he has written about AI and Data Science The impact he believes AI and Deep Learning will make in the near future

Today’s guest is Kenneth Conroy. Originally from Ireland, Ken moved to Vancouver in 2014 where he is now the VP of Data Science at Finn AI. Finn.ai is a full-featured conversational banking platform with their white-label chatbots and personal financial management assistants powered by AI. Banks and other financial institutions are able toput a personal banker and financial advisor in every customer’s pocket. Wherever they are, banking customers can get queries answered and complete transactions by chatting to your business the same way they chat with their friends. In the episode, Kenneth will tell you about: His background and making the move to Vancouver Finn AI’s interesting work in the financial services industry Challenges working with conversational AI The benefits that a chatbot can bring to your company Is Artificial Intelligence living up the hype? Interesting use cases on how AI will affect our everyday lives

Today’s guest on the show is Mike Tamir, Head of Data Science at Uber ATG in San Francisco. Uber are working to bring the future closer with self-driving technology and urban air transport. They also help people order food quickly and affordably, remove barriers to healthcare, create new freight-booking solutions and help companies provide a seamless employee travel experience. Mike is a leader in Data science, specializing in deep learning and distributed scalable machine learning. He has a wealth of experience delivering data products for use cases including text comprehension, image recognition, recommender systems, targeted advertising and customer analytics. He is a pioneer in developing machine learning and data science training programs in the industry. In the show today, Mike will tell you about: How he became interested in Data Science His role at Uber ATG Applying Deep Learning to evaluate article embedding in fake news evaluation Learning and sharing interesting content on social media Advice he would share to Data Scientists moving from academia to industry Emerging trends in AI and Data Science that excite him for the future