The Alldus Podcast - AI in Action

Today's guest is Chris Halverson. Based in Minneapolis, Chris is an experienced ServiceNow Architect, Administrator and ITSM/ITIL Process Consultant with over 25 years of experience working in IT Operations and consulting. His overall ServiceNow technical project experience includes custom scoped application development, Service Portal, Customer Service Management (CSM), ITSM, ITOM, MID Server Configuration, Project Portfolio Management (PPM) and much more. In the episode, Chris will tell you about: How he got into ServiceNow & why contracting, What is Castle Building, Interesting projects he’s worked on over the years, Skillset needed for a career in ServiceNow contracting, Key differences between contracting vs employee, Advice on how to win that gig in a competitive market, The importance of Stakeholder management, The best things and challenges of being a contractor and Where he sees the future of the ServiceNow platform

Today's guest is Amir Sadoughi, Head of Engineering at Pinecone in New York. Founded in 2019, Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distribution infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Pinecone have an expert team of engineers who have built large machine learning platforms, databases and search engines at the likes of AWS and Yahoo. Their scientists have transformed businesses with ML applications such as shopping recommendations, online advertising, semantic search, anomaly detection, and more. They also have top researchers who collectively have published more than 100 academic papers and patents on machine learning, systems and algorithms. In today's episode, Amir will discuss: Pinecone’s Similarity Search as a Service, The journey of building the platform from idea to production, Use cases of the benefits their service brings to customers, Transitioning from a large corporation to the startup world, and Interesting opportunities within the data engineering team

Today's guest is Bit Rambusch, Vice President of Online Support & Knowledge Management at Dell Technologies in Austin, Texas. Bit has over 20 years of executive experience leading global customer support services organizations, developing and implementing large-scale service offers, product and quality management systems and programs. He has deep experience in driving digital transformation with defined business results, outcomes and seamless customer experiences across global and highly matrixed organizations. Bit is globally responsible for developing, implementing and delivering digital and social transformation across multiple contact and delivery channels at Dell Technologies. This is achieved through the deployment of knowledge and content management systems, quality processes and unified search capabilities that deliver fast, accurate and seamless digital experiences to millions of customers worldwide and an end-user network that consists of over 30,000 field support engineers and call center agents. In the episode, Bit will tell you about: His current role and career milestones in 21 years at Dell, The importance of mentors and advice to his younger self, Importance of building and scaling large-scale teams, Marco-trends within Digital Transformation in the enterprise, How companies are embracing innovation, Future of ITSM and ServiceNow, Online support and Knowledge management, and How AI will continue to transform business and the industry

Today's guest is Dr. Tim Still, Head of Artificial Intelligence Solutions at Schwarz IT KG. Schwarz Dienstleistung KG provides comprehensive services for the Schwarz Group associated companies, such as Kaufland and Lidl. Based in Neckarsulm in the South of Germany, more than 1,000 experts in various fields make an important contribution to their expanding corporate strategy. Tim is responsible for building artificial intelligence solutions for the Schwarz Group. He is leading a talented team of highly skilled data scientists, data engineers and developers to develop and build data products to create value for the Schwarz group utilizing the latest machine learning and big data technologies. In the episode, Tim will discuss: His background and journey to Schwarz IT, How they leverage AI at Schwarz IT, Interesting projects the team are working on, Challenges in bringing AI into production and Advice to aspiring data scientists

Today's guest is Slater Victoroff, Chief Technology Officer at Indico Data in Boston, MA. Founded in 2013, Indico is the leading provider of Intelligent Process Automation (IPA) solutions. They help organizations turn processes into profit by enabling them to automate manual, labor-intensive, document-based workflows. Indico are solving these challenges in an approach known as transfer learning, which allows users to train machine learning models with orders of magnitude less data than required by traditional rule-based techniques. With Indico, enterprises are now able to deploy AI to unstructured content challenges more effectively while eliminating many of the common barriers to adoption. In today's episode, Slater will discuss: The origins of Indico Data Indico Data's solutions in Document Intake and Understanding Use cases of the problems they are solving for customers What excites him for the future at Indico Data Building a successful data team Exciting opportunities at Indico Data

Today's guest is Erin Gustafson, Lead Data Scientist at Duolingo in Pittsburgh, PA. Founded in 2011, Duolingo is the world’s most popular way to learn a language. Their mission is to develop the best education in the world and make it universally available. Today, Duolingo have become the most downloaded education app in the history of the App Store and in 2019, it became the top-grossing education app worldwide. Learning a new language is hard, but Duolingo believes it can be fun. They use bite-sized lessons that feel like playing a game to keep our learners motivated. With over 500 million learners, they have unprecedented data insights on how people learn. Their teams of language learning scientists, machine learning engineers and AI experts use this data to constantly improve their effectiveness. Duolingo are building a future in which the highest-quality education is accessible to all. In today's episode, Erin will discuss: The role of Data Science in Duolingo’s language learning platform, Interesting projects & her day-to-day role, Top advice when transitioning from academia into industry, How they are applying AI & Data to improve the user experience, The future of EdTech and Her top tips for landing that data science role

Today's guest is Felippe Mora, Senior Director of Customer Success at Nuvolo in New Jersey. Nuvolo is the global leader in modern, cloud-based Connected Workplace solutions. They provide a single platform to manage all people, all physical locations, all assets and all work to enable data sharing across departments. They serve various industries such as healthcare, life sciences, financial services, retail, government, higher education and enterprise. They are the largest and fastest-growing independent software vendor globally, built on the NOW platform. Felippe is a customer-centric executive focused on delivering value and leveraging customer feedback to ensure long-term relationships that drive retention and expansion of recurring revenue. He is a results-driven and innovative professional, with extensive experience in software and web development, information technology operations, systems management and client relations. Felippe is armed with outstanding skills in setting vision and strategies along with providing innovative business solutions and infrastructure toward the fulfillment of established goals. In the episode, Felippe will tell you about: The interesting work he does with Nuvolo, Transitioning from engineering into a customer success role, What is Customer Success, How to build a high-performing team, Examples of creating an effective Customer Success roadmap, The importance of stakeholder engagement, and Key Learns throughout his career to date

Today's guest is Dr. Ruth Janning, Head of Data Science at OBI next in North Rhine-Westphalia. OBI next drive digitization and innovation in the OBI hardware store, and enable people to design their home creatively and individually. Regardless of whether it is a new look for the kitchen or a garden project with the whole family, they inspire, advise and make everything possible for their customers. To this end, OBI next are developing an extensive service ecosystem and together they create unique customer experiences. In the episode, Ruth will discuss: Her background and career journey to date OBI’s work as a do-it-yourself retailer How the data team is structured to achieve success Challenges in applying AI as a product The pros and cons of Deep Learning How to build and manage a successful data science team

Today's guest is Adam Almozlino, VP of Data and Products at OptimizeRx. Founded in 2006, OptimizeRx provides unique physician and consumer platforms and strategies to help patients better afford and adhere to their treatment regimens, while offering pharmaceutical and healthcare companies more effective ways to deliver relevant information and services to healthcare providers and their patients right at the point of care. Adam is responsible for driving the development and commercialization of all new data and analytics-based products at OptimizeRx. He has led multi-million dollar engagements with customers, through which the products ideated and developed are commercialized, developed their enterprise data and analytics strategy to create long-term company value and authored a patent for a product combining Big Data repositories, AI and telehealth for predictive targeting of messages to physicians and patients in digital settings. In today's episode, Adam will discuss: OptmizeRx’s communications platform for the healthcare sector His role within data and analytics Interesting projects they are working on within AI How they set up and structured an effective data team What the future looks like for OptimizeRx Plans for growth within the team

Today's guest is Adam Katz, Chief Revenue Officer and Adam Smith, VP of Analytics and Data Science at Sightly in New York. Founded in 2013, Sightly are helping Brands Anticipate the Unexpected. They use data science, predictive algorithms and expert human know-how to maximize your outcomes and align your Brand Mentality™ at speed, no matter what lies ahead. Their smart, agile approach to media planning, buying and fine-tuning extends across YouTube, TikTok, Connected TV & OTT, Live Streaming video, and all premium publishers and networks. In today's episode, they will tell you about: Sightly’s unique brand mentality platform, Problems they are solving applying AI and Data Science, Use cases of helping customers establish their Brand Mentality™, Interesting projects & day-to-day of the data team, What makes Sightly a great place to work, How Data Science became a critical part of their business and What the future holds for Sightly