Ai In Action

Today's guest is Alex Ermolaev, Director of AI at Change Healthcare. Alex has 20 years of experience building bleeding edge software businesses by combining deep market insights with high-performance teams, clever product road maps, focused product development and effective go-to-market execution. He has built two startups, advised two dozens and built several brand new billion-dollar divisions within the largest technology companies. Change Healthcare is inspiring a better healthcare system. Change Healthcare is a key catalyst of a value-based healthcare system – working alongside customers and partners to accelerate the journey toward improved lives and healthier communities. They believe trust is earned with every interaction, with every customer, and at every opportunity to deliver healthcare safely and effectively. In the episode, Alex will tell you about: Who are Change Healthcare? Challenges of applying AI in the industry Change Healthcare’s successful applications in the market The po

Today's guest is Samuel Mongeau, Lead RPA Developer with UI Path. Based in New York City, UiPath deliver the most advanced Enterprise RPA Platform, built for business and IT. More than 2,750 enterprise customers and government agencies use UiPath's Enterprise RPA platform to rapidly deploy software robots that perfectly emulate and execute repetitive processes, boosting business productivity, ensuring compliance and enhancing the customer experience across back-office and front-office operations. Their technology is used by thousands of companies particularly in document management, contact centres, healthcare, finance and accounting, human resources, and supply chains and to address major technical challenges, including data extraction and migration, process automation, application integration and business process outsourcing. They encourage the best minds to contribute and create the next leap in RPA. In the show, Sam will discuss: His Journey with UI Path How to prepare for a career within RPA Challen

Today's guest is Ron Bekkerman, who is the Chief Technology Officer at Cherre. Ron has extensive experience in commercial software engineering and is an expert in Big Data and intelligent Web applications. Ron is well connected both within the industrial and academic Data Mining communities and has now turned his focus to real estate data. Based in New York, Cherre provides investors, insurers, brokers and other large enterprises with a platform to collect, resolve and augment real estate data from thousands of public, private and internal sources. By providing a “single source of truth,” they empower you to evaluate opportunities and trends faster, and more accurately while saving you millions of dollars in manual data collection and analytics costs. In the show, Ron will talk about: His fascinating 20-year journey to joining Cherre Cherre’s work in the real estate sector How they are disrupting the real estate market The challenge of working with Dirty Data How Cherre successfully grew th

Today's guest is Brian Dalessandro, Head of Data Science at SparkBeyond. Brian is a seasoned Data Science executive, professor and lifelong student whose focus is on making Data Science more accessible and using it to drive impact. SparkBeyond has built an AI-powered research engine, capable of finding complex patterns in data by understanding their meaning. Operating at the intersection of Data Science and Artificial Intelligence fields, their Machine Learning technology is being used by a growing number of Fortune 500 companies in the various industries. Founded by AI visionaries and Machine Learning experts in 2013, SparkBeyond's vision is to harness humanity’s collective intelligence to solve the world’s toughest problems. They combine state-of-the-art artificial intelligence technology with large-scale computing to accelerate breakthroughs that are hidden in the data. Their mission is to automate and scale the creative part of research and problem-solving. In the show, Brian will tell you about: How&nb

Today's guest is Ankur Patel. Ankur is the VP of Data Science at 7Park Data, which transforms data to revolutionize business decisions. Successful companies globally depend on 7Park Data to realize the potential of proprietary data assets and guide strategy through data analytics software, insights and leading performance indicators derived from a diverse data portfolio.  Founded in 2012 in New York City, 7Park Data's Platform leverages NLP and machine learning to create analytics-ready data from raw, unstructured inputs, empowering businesses across sectors to inform internal decisions, deliver insight to customers and generate high-margin revenue.  In the episode, Ankur will discuss: Using Data Science and Machine Learning at 7 Park Data  How NLP will continue to evolve their service  Challenges in data preparation  Understanding their customers' needs  The exciting future at 7 Park Data  What they look for in an ideal candidate 

Today's guest is Oliver Christie, co-Founder at Moven AI. Artificial Intelligence is the biggest technology disruption of our generation and Oliver helps companies envision their future and leverage this technology to stay ahead of the competition. Oliver looks at how AI can impact key aspects of the business such as acquiring and retaining customers, customizing products and services, and achieving profitability. He works with companies to develop the right solution which, at times, can fundamentally reshape how the business operates. In the episode, Oliver will discuss: Projects he works on helping companies embrace AI  Battling Bias in Data-Driven decision-making  The role of governments introducing AI strategies  Being aware of Blindspots   How to maximise your Data Science career  Emerging trends within AI  

Today's guest is Dr. Luca Longo. Luca is an Academic, National Teaching Hero, AI researcher and TEDx speaker who has a deep passion for science. He is actively engaged in the dissemination of scientific material to the public as his TEDx talks demonstrate and has received various awards both for his research work and for his teaching. With his team of doctoral and post-doctoral researchers, he conducts fundamental research in Explainable Artificial Intelligence, Defeasible Reasoning and Non-monotonic Argumentation. He also performs applied research in Machine Learning and predictive data analytics, mainly applied to the problem of mental workload modelling. He is an advocate of motivational teaching and strongly supports learning through passion. Having gained invaluable education, work experience and international recognition he is strongly motivated to revolutionise the science of mental workload, pave a new research path with a significant impact for the future societies and become a world leader in his fi

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 innov

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 organi

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

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 s

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

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 engagemen

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