The Alldus Podcast - AI Mentors

Today's guest is Zachary Elewitz, Director of Data Science at WEX. Founded in 1983, WEX is a global leader in financial technology solutions. The company simplify the complexities of payment systems across continents and industries, with specialized solutions for fleet and mobility, corporate payments and employee benefits. With over 5,500 employees, WEX work with large and small companies in more than 200 countries and territories, and can tailor their services to meet the unique needs of their businesses. In the episode, Zachary will discuss: His background and current work he does with Wex, The working culture & day-to-day life of the team, Career advice on switching industries, Deciding what sort of Data Scientist you want to be, What he looks for when hiring into the team, Why to consider a career with Wex

Today's guest is Firas Lethaus, Head of the Deep Learning Expert Center at the Volkswagen Group. Headquartered in Wolfsburg, the Volkswagen Group is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. Each working day, around 630,000 employees worldwide across the group's 12 brands are involved in vehicle-related services or work in the other fields within the business. The group's goal is to make mobility sustainable for our world today and for future generations. The Deep Learning Expert Center are responsible for the development and deployment of AI/data products within the Volkswagen group and their subsidiaries. These include  Elli, which develops solutions for private users and business at the many touchpoints between e-mobility and the wider transition underway in society to renewable energy, and CARIAD, which builds the leading tech stack for the automotive industry to make automotive mobility safer, more sustainable and more comfortable in a new way. In the episode, Firas will discuss: His background and interesting roles over the years, The challenges with autonomous driving, Advice on making the move from academia to industry, The importance of communication and team dynamics, and Generating ROI from data science projects in business

Today's guest is Danish Rafique, Head of Digitalization and Analytics at Bayer in Bavaria, Germany. Bayer is a global enterprise with core competencies in the Life Science fields of healthcare and agriculture. Their products and services are designed to benefit people and improve their quality of life. Bayer aims to create value through innovation, growth, and high earning power. Danish has over ten years of experience working in the ICT, automotive and healthcare industries. His key focus areas are within AI and cloud technologies, together with product management, strategic programs and commercial developments. He is passionate about leadership and mentoring, and he is always on the lookout for synergies across industries. In the episode, Danish will discuss: Key advice on making the move from academia into industry, Why Data Science in the Healthcare sector, The interesting projects they are working on at Bayer, The split between AI research and AI in production, The importance of decision-making and AI ethics

Today's guest is Nimish Parikh. Nimish is a strategic and results-oriented medical device marketing executive with over 16 years of industry experience working across some of the top medical device firms in the world. Earlier this year, Nimish founded Maiven, who are developing intelligent agents for healthcare. Prior to this role, Nimish was the Head of the global product management team for Philips Medical Digital and Computational Pathology Division. Nimish and his team were responsible for working with digital technology and artificial intelligence to revolutionize the treatment of cancer. In the episode, Nimish will discuss: Understanding the business side of AI, Interesting applications he is seeing within AI in Healthcare, The different complexities within the sector, The interesting work he did previously at Phillips, Commercialization of AI and The importance of the product management teams