The Alldus Podcast - AI in Action

Today's guest is Severin Messenbrink, Technical Lead at everphone in Berlin. Founded in 2016, everphone is a clever way to equip your workforce with smartphones and tablets. everphone reduces your costs while making employees happier and more productive. everphone sources, configures and deploys rental smart­phones and tablets in your com­pany. They also pro­tect your data and organize re­pairs and returns. Don’t waste your valuable time handling smart devices. Take control with a few clicks using their device manage­ment portal and everphone will do the heavy lift­ing. They coordinate every­thing directly with your employee so if there’s a problem with the device, everphone will solve it within 24 hours. In the episode, Severin will tell you about: The interesting work they do at everphone, The process of building their Phone-as-a-Service, Benefits the platform brings to customers, How to build trust in data, Leveraging Machine Learning to enhance their services & New projects including collaborations with Samsung and Deutsche Telekom

Today's guest is Alessio Fanelli, Vice President at 645 Ventures in New York. Founded in 2013, 645 Ventures is an early-stage venture capital firm that partners with exceptional founders who are building iconic companies. They invest at the Seed and Series A stages and leverage their Voyager software platform to enable their Success team and Connected Network to help founders scale to the growth stage. 645 Ventures invest in four main areas: SaaS for the Second Wave, Citizen Professionals, The Engineering Value Chain Revolution and Personalized Consumer Applications. 645 Ventures has $200m+ in AUM and is growing fast with backing from leading institutional investors, including university endowments, funds of funds and pension funds.They have over 35 active companies in their portfolio in the areas of enterprise SaaS, infrastructure software and consumer technology. In the episode, Alessio will tell you about: Deciding what data & tech companies to back, What makes companies successful in Data Science, Biggest challenges in hiring in Data Science and Machine Learning, What to consider when joining a Data Science startup &  What excites him for the future in the data and tech scene

Today's guest is Lou Zhang, Director of Data Science at MachineMetrics. Founded in 2014, MachineMetrics is manufacturing’s first Industrial IoT Platform for Machines. They transform analytics into action through universal machine connectivity, cloud data Infrastructure and communication workflows that optimize machine operation. Extensible both in the cloud and at the edge, the platform is powering vertically-focused use cases for manufacturers to digitize legacy manufacturing processes and drive more profitability with their machines. Lou is responsible for driving data science strategy, technical leadership and revenue from predictive machining products. They develop patented and novel approaches to solving open-ended problems in manufacturing using machine learning, data mining and statistical modeling, specifically in regards to predictive technology involving embedded sensors. It is their mission to conceptualize and bring-to-market predictive machining solutions for Industry 4.0. In the episode, Lou will tell you about: The interesting roles he has held over the years, MachineMetrics impact in the Manufacturing sector, The benefits that their IoT Platform brings to the industry, How their Data Science team has evolved & Why we should embrace Industrial Automation

Today's guest is Saurabh Dubey, Director of Digital Lighthouse at KPMG in Denver, Colorado. Saurabh has over 17 years of experience in the Consulting and Professional Services business, and have been playing a span of roles in advisory, sales, delivery, operations and managed services.  He has worked across several industries, with a primary focus in Technology, Media and Telecommunication, with a primary focus on expanding the Technology sector business. Saurabh is currently part of KPMG's Digital Enablement practice and is one of the leaders of their Denver Ignition Center. His responsibilities include business development, practice building and innovation, and engagement leadership and management for some of KPMG's largest clients. He is also the Director responsible for defining their TMT industry strategy across the practice and establishing their go-to-market approach for the industry accounts. In the episode, Saurabh will tell you about: His career to date and his current role with KPMG New trends within technology, media and telecommunications The value new tech can bring to business stakeholders Interesting projects his team are working on within ServiceNow The potential of AI and ServiceNow Advice he would give to his younger self

Today's guest is Konstantin Kugler, Co-Founder and Head of Product at Laya Technologies in Munich. Laya are running the most advanced and flexible smart packaging platform to power the leading travel retail brands of tomorrow. They have developed an advanced Machine Learning-based technology to dynamically package personalised trips in realtime while integrating all product categories for which it has won multiple awards such as Deloitte Technology Fast50 and Forbes AI30. Laya creates a massive, new commodity segment called Dynamic Packages. Their technology allows B2B clients to generate and book any trip from single-stop packages to complex multi-stop tours via a single, powerful API and make them directly bookable online for consumers. Laya runs on a highly scalable, lightweight transactional business model, made for a Post-Covid travel industry. In the episode, Konstantin will discuss: How Laya are impacting the customer experience in the travel industry, Building the right foundations to achieve success, The impact of Covid-19 on the company, Their innovative offerings to customers such as their vacations package & What’s in store for the near future at Laya

Today's guest is Kevin Johnson, Head of Data Science at Favor Delivery in Austin, Texas. Founded in 2013, Favor is the easiest way to get anything you want in your city delivered to your door in under an hour. Whether it’s lunch at the office, groceries for home or those errands you just don’t have time for, your personal assistant (we call them Runners) can deliver it in just a few taps. Favor currently operates in over 100 cities across Texas. In the episode, Kevin will discuss: The great work they do at Favor Delivery, How the Data Science team is set up for success, Problems they are solving in the delivery sector, Upcoming technology and trends in the industry, Plans for growth and exciting opportunities at Favor Delivery and  What excites him for the future

Today's guest is Mark Scott, Senior Platform Architect at ServiceNow in Phoenix, Arizona. Servicenow make the world of work, work better for people. They deliver digital workflows that create great experiences and unlock productivity. With 6,200+ customers, they serve around 80% of the Fortune 500 and were listed on the 2020 list of Fortune World’s Admired Companies. In the episode, Mark will tell you about: His journey working in the ServiceNow ecosystem, Key advice when starting to implement ServiceNow in your business, His passion for Integrations & why they’re key in ServiceNow, Interesting integrations he worked on in his career, The benefits of Flow Design, How AI will continue to enhance the platform, & What to expect on his new podcast series, Between Two Functions

Today's guest is Martin Dachselt, CEO at Bayes eSports in Berlin. Founded in 2018, Bayes Esports delivers unprecedented opportunities for rights holders to utilize and monetize esports data of pro-level leagues and tournaments through our extensive partner network of media and betting companies. They are the go-to address for the Esports Data Industry for data right holders, consumers and service providers alike. Bayes powers the innovative products of their customers with a wide range of standard applications and tailored solutions which allows them to benefit from unified feeds for fixture and result information, live in-match data and live odds for major esports titles. In the episode, Martin will discuss: What inspired him to set up Bayes eSports, Challenges they are solving within eSports data, Building the first esports data marketplace BEDEX, Discovering the important data trends to analyse and distribute, How clients and partners monetize their data and What does the future hold for the eSports industry

Today's guest is Brandon Allgood, Senior Vice President of Data Science & AI at Valo Health in San Francisco. Founded in 2019, Valo are using cloud computing as well as longitudinal and human data to create an entirely new drug discovery and development process. With 15 years of experience in large scale cloud and distributed computing, AI and mathematical modeling, Brandon currently manages the development and application of Valo's AI platform and is responsible for Valo's overall technological vision. Valo’s Opal Computational PlatformTM, a cloud generation, fully-integrated, componentized, end-to-end drug development platform, drug development is positioned to be transformed into a far more efficient process with life-changing treatments created in potentially half the time at far less cost and with far fewer failures. The Opal Platform makes it possible for scientists to review human data to discover previously unsuspected associations between genetic markers and disease and design and discover proprietary new molecules. In the episode, Brandon will discuss: Interesting roles he’s held throughout his career, Challenges they are solving at Valo Health, Their impact in drug discovery and clinical trials, Future innovations in pharma that excite him, Tackling bias and unfairness in AI, and  How to build a successful data science team

Today's guest is Shabaz Patel, Director of Data Science at One Concern in San Francisco. Founded in 2015, One Concern is a Resilience as a Service solution that brings disaster science, together with machine learning, for better decision-making. They quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and monetize risk so disasters aren’t so disastrous. Shabaz leads the Data Science team who are responsible for building models for the One Concern product. The team is focused on all aspects of data (such as tooling for collecting and generating data, collection), Machine Learning (training of algorithms and all of the associated ML tooling) and the applied science considering the hazard physics. In the episode, Shabaz will discuss: How he got into the world of Data Science, The interesting work they do at One Concern, How they are applying AI and Data Science within natural disasters, The benefits that the platform brings to customers, Structuring the data science team to achieve success &  What excites him for the future at One Concern