The Alldus Podcast - AI in Action

In the episode, Chelsea and Frank will talk about: The impact they have made in Lab Automation with Zimark  How Automation is transforming the Life Sciences  The role of humans alongside Automation  How Lab Automation will further impact the industry  Interesting work to check out in Lab Automation 

 Today's guest is Rouzbeh Gerami, Director of Data Science at Xaxis in New York City. Leading the Data Science team at Xaxis, Rouzbeh works on the development of ML-based solutions for real-time bidding with a focus on translating current industry and academic-based AI research into practical solutions, with special attention to deep reinforcement learning. Xaxis are pioneering what it means for the advertising industry to offer simplicity and accountability to clients. They combine unique brand-safe media access, unrivalled programmatic expertise and 360-degree data with proprietary Artificial Intelligence to help global brands achieve the outcomes they value from their digital media investment. In the episode, Rouzbeh will talk about: His journey to joining Xaxis Using Data Science at Xaxis within the advertising sector Applying reinforcement learning to real-world problems Challenges the Data Science need to overcome Top skills you need for a career in Data Science Leading the innovation-driven culture at Xaxis

Today’s guest is Sotir Hristev. Sotir is the Head of Data Science at Exactag in Frankfurt, Germany since early 2017 and he is also a member of the I-COM Germany Advisory Board. Sotir is responsible for the technological development and advancement of data modelling in Exactag’s platform. Previously, Sotir oversaw the development of Havas’ data science department and he also lead one of the largest teams of data scientists out of all German media agencies focused on digital marketing and marketing automation. He is an industry leading researcher and consultant with a lifetime of experience in managing media agencies and on the client side. In today’s podcast Sotir will share with you: The Data Science scene within digital marketing in Germany The implications of Data Science for business in Germany Trends within Data Science in marketing How changes and the setup in organisations have an impact on the career path of Data Scientist How to build an effective Data Science team in your organisation Advice to students starting off their Data Science career

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