The Alldus Podcast - 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 potential of AI in Healthcare Educating the public on the benefits of AI in patient care Growing a successful data science team

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 Challenges of working with automation The potential for RPA in the enterprise Building a community at UI Path Advice to academics seeking a career RPAIn the show, Sam will discuss: His Journey with UI Path How to prepare for a career within RPA Challenges of working with automation The potential for RPA in the enterprise Building a community at UI Path Advice to academics seeking a career RPA

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 thier brand Advice to Data Scientists on landing a new role

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 SparkBeyond solves the world’s most complex problems  Use cases of how their platform impacts businesses  What is unique about SparkBeyond  Common challenges they need to overcome  How to influence Data Science within your organisation  Building an effective Data Science team 

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 field. In the episode, Luca will tell you about: His research in AI and Automatic Reasoning   The importance and challenges of Explainable AI  Applying his research to positively impact society  Where he believes research among XAI is heading in the near future 

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