The Alldus Podcast - AI in Action

Today's guest is Dr. Lorenzo Guidi, Data Scientist at DieProduktMacher in Munich. Founded in 2012, DieProduktMacher bring innovative digital products to life. At the intersection of the user, market and technology, they discover, design and build software that solves real problems and needs. DPM's solid practice of Product Management, User Experience, Data Science and Software Engineering covers the full range of modern digital product and service development. In the episode,  Lorenzo will discuss: DPM’s work in creating digital products, The make-up of the team and the role of data science, Challenges when applying AI into business & driving ROI, and Interesting use cases of the benefits they bring to customers

Today's guest is Gerald Harris, Director of ServiceNow in the IT industry. Gerald is an innovative IT leader with heavy experience in Enterprise Service Management and Platform Business Transformation. He works with clients to help modernize and consolidate operations and, by doing so, lay the foundation for innovation. He believes that Digital Transformation isn’t about one tool or another... it’s about implementing a strong platform business model with the RIGHT people, processes and tools. In the episode, Gerald will discuss: Key learns throughout his career to date, Trends he is seeing within Digital Transformation across enterprise customers, The platform business model, Why ServiceNow is the platform of choice, What’s next for the ServiceNow platform, Building and managing a winning team, and Advice he would offer to his younger self

Today's guest is Adam Wenchel, CEO at Arthur in New York. Founded in 2018, Arthur is the AI performance company that helps enterprises deliver on the full potential of AI through performance monitoring and optimization, explainability and bias mitigation. At Arthur, they are deeply passionate about building technology that makes AI work for everyone. Adam has over 20 years of experience in the AI, Machine Learning and software development spaces. Prior to founding Arthur, he founded and acted as CEO for Anax Security, a DC-based startup focused on Machine Learning for large-scale defensive cybersecurity. After Anax’s acquisition by Capital One, Adam served as Capital One’s VP of AI & Data Innovation where he led transformative projects across the business. In the episode, Adam will discuss: The origins and what they do at Arthur, The journey of building a startup from the ground up, The role of Data Science & Machine learning in their product, What’s in store for Arthur in the near future, and Exciting career opportunities at Arthur

Today's guest is Qingqing Ouyang, Chief Technology Officer at OJO Labs in Austin, TX. OJO Labs is a real estate technology company removing barriers to homeownership. OJO Labs platform for buying and selling homes meets people wherever they are on their journey, offering personalized guidance every step of the way. Through a combination of industry expertise and patented AI technology, OJO cultivates a deep understanding of individual needs and preferences, matching people with the right tools and trusted providers to help them become successful homeowners and unlock life’s possibilities.​ Qingqing is responsible for building and leading a talented team to drive innovation for homebuyers. As Executive Vice President of Engineering at OJO, she grew the footprint of the OJO engineering team globally, scaling from seven local engineers to more than 100 around the world in under two years. Her ability to recruit the right talent for the right opportunity, while maintaining a strong engineering culture, has significantly increased the company’s ability to bring innovative technological solutions to guide consumers through a transparent homebuying journey. In the episode, Qingqing will discuss: Her background and what attracted her to OJO Labs, The interesting work they are doing within real estate, Problems they are solving through applying Machine Learning, How their data science team is set up for success, The importance of data quality and Exciting opportunities within the team

Today's guest is Inderpal Bhandari, Global Chief Data Officer at IBM in New York. Inderpal leads IBM’s data strategy to ensure IBM remains the number one AI and hybrid cloud provider for the enterprise. He uses his expertise to transform data into business value and improved customer experiences by delivering strategic and innovative capabilities that use analytic insights to enable growth and productivity. Inderpal convert challenges into opportunities, solving the most complex problems through data, AI and technology while building a trusted, enterprise-wide data and AI backbone for IBM. He was also named U.S. Chief Data Officer of the Year by the CDO Club in 2017 and named Corinium's Top 100 Innovators in Data and Analytics in 2018, 2019 and 2020. In 2020, he was also appointed as one of the Global Top 100 Data Visionaries by Truata. In the episode, Inderpal will discuss: How the role of Chief Data Officer has evolved, The importance of trusted Artificial Intelligence, The role of AI ethics in the industry, His advice on how companies can successfully adopt AI in a responsible way and How data will continue to transform global economics

Today's guest is Jeevan Lobo, Vice President within the Financial Industry. Based in New Jersey, Jeevan is a result driven and dynamic IT Leader who has successfully led multiple Managed Service Accounts with specialization in Cross-Functional Leadership and Digital Transformation. He is passionate about making his customers in the IT and Business sectors successful. In the episode, Jeevan will discuss: His 5 top Digital Transformation trends within Finance & Banking, Challenges of innovation within the Financial industry, The role of risk management, Why ServiceNow if the platform of choice, Case studies of successful implementations he has worked on, Advice to C-Suite Execs embarking on their Digital Transformation journey, Stakeholder Management, Building and maintaining a winning team, and What the future holds for ServiceNow

Today's guests are Gabriel Nipote, Chief Operating Officer and Henry Michaelson, Chief Technology Officer at Halla. Founded in 2016, Halla is The Taste Intelligence Company, redefining what personalization means for grocery as the world’s only human preference engine designed specifically and exclusively for grocery. Halla has developed the only technology on the market that can accurately predict shopper intent and recommend the grocery item a person will want to buy next. This provides grocers with the ability to offer personalization on a truly one-to-one level never before experienced across the entire digital store. Coupled with real-time capabilities, plug & play API integration and AI that leverages over 100 billion grocery-specific shopper and product data points, Halla’s created the most powerful and flexible personalization engine now available for grocers through its proprietary suite of services: Halla Recommend, Halla Substitute and Halla Search. In the episode, Gabriel and Henry talk about: Halla, the taste intelligence company, The role of data science and ML in their platform, Building a data science team from the ground up, Main takeaways from their journey with Halla so far, What they enjoy most about their work and Future plans for hiring into the team

Today's guest is Steve Prewitt, Global Head of Innovation at Sumitovant Biopharma in New York. Founded in 2019, Sumitovant’s Digital Innovation approach integrates key skill sets, datasets and analytic tools to provide real answers to pharma’s most critical questions. With their tech-enabled approach to drug discovery, development and commercialization, Sumitovant remove friction and accelerate every aspect of the process to bring promising new compounds to market. Steve is a senior technology executive, corporate officer and advisor with demonstrated experience building innovative cloud-based data pipelines, standing up data science teams and delivering real business value using machine learning and advanced analytics in a variety of healthcare and life sciences contexts. He is passionate about creating and enabling new business models with data, building data-driven cultures/teams and the power of cloud architectures to enable entirely new ways of working to achieve the goals and needs of decision makers. In the episode, Steve talks about: The work they are doing at Sumitovant Biopharma, His role as the Global Head of Innovation, Use cases of the projects they are working on, Day-to-day life of the data team, How he stays up to date with the latest tech trends in Healthcare, and The future of AI in Healthcare

Today's guest is Vikram Walecha, Chief Technology Officer – ServiceNow at IBM. Vikram is a trusted Advisor to C-Suite with extensive experience in driving large and complex Digital Transformation programs. He is a thought leader and Changes Enabler in the areas of ServiceNow, Cloud, DevOps, Enterprise Workflow Automations, Service Management, CoE Enablement, Business Acquisition, Service Strategy & Design, Service Delivery and Governance. In his role at IBM, Vikram oversees the Business acquisition and delivery in regional growth markets in North America. In the episode, Vikram will discuss: An insight into his role and ServiceNow at IBM, Macro-trends he is seeing in the enterprise, How companies are using Intelligent workflows, The human experience in a world of automation, Why ServiceNow is the platform is choice Case studies of the value his team have brought to customers, What makes ServiceNow at IBM stand out from the competition and What the future holds for the platform

Today's guest is Jim Rebesco, Co-Founder and CEO at Striveworks in Austin, Texas. Data and analytics are transforming the way the world works. Data analytics always rests on the assumption that "yesterday," when we collect the data and train model looks the same as "tomorrow," when we take that model and use it in the real world. Striveworks' customers live in dynamic, adaptive, challenging environments where tomorrow often looks very different from yesterday. Striveworks' MLOps platform lets teams of data scientists, software engineers and subject matter experts drive outcomes in operationally relevant timelines. In the episode, Jim talks about: The interesting work they do in managing MLOps, Problems they are solving for customers, Challenges the team need to overcome to achieve success, An insight into the data science team, How they attract talent to Striveworks, What the future looks like, and Skills he looks for when hiring into the team