The Alldus Podcast - AI in Action

Today's guest is Jared Laethem, Founder and CEO of DotWalk in California. DotWalk is on a mission to make complicated upgrades a thing of the past. DotWalk provides the only AI-powered solutions that run natively in ServiceNow to do the work that humans shouldn’t so that you can focus on what matters most to your business. Founded in 2017 by ServiceNow leaders and Automated Testing Framework (ATF) experts who have decades of experience in the ServiceNow ecosystem, the DotWalk team partners with enterprise organizations to simplify tedious, time-consuming upgrades, reducing cost and freeing up time to focus on more business-critical initiatives. In the episode, Jared will discuss: His journey to setting up DotWalk, Problems they are solving for customers, What he’s learned doing business in the ServiceNow ecosystem, How the ServiceNow platform has evolved, What the future of ServiceNow looks like, Key learns and advice in building a SaaS startup, and The importance of mentoring and building strong relationships

Today's guest is Tim Kreienkamp, Chief Data Scientist at Adtriba in Hamburg. Founded in 2015, Adtriba helps marketing managers make better online, performance and brand marketing decisions to optimize ROI. The team has developed a SaaS solution for holistic marketing measurement and optimization, customer journey analysis and cross-channel performance reporting. Using software based on machine-learning, customers can evaluate individual channels and compare them against each other in order to optimally allocate marketing spend. The solution integrates into the website with just a few clicks and can be used immediately with your first reliable insights and optimizations available in a very short time. In the episode, Nevin will tell you about: Adtriba’s impact in applying AI within marketing, The benefits of using marketing mix modelling, Challenges of applying AI within industry, such as autonomous driving, What he loves most about his job, and Advice to Data Scientists on making the most from your career

Today's guest is Nevin Raj, Co-Founder and COO at Grata in New York.  Founded in 2016, Grata is a B2B search engine that helps private equity, sales and marketing teams find and target private companies. Grata’s machine learning technology enables you to identify similar companies, find new targets you would otherwise miss and automate personalized outreach. Grata’s platform also powers a suite of digital intelligence products for voice of customer diligence and competitive intelligence. In the episode, Nevin will tell you about: The motivation to setting up Grata, The problems they are helping companies solve within business development, Applying Data Analytics and Machine Learning to solve key problems, The journey to building and scaling a successful team, What excites him the most for the future at Grata, & How NLP will help continue to evolve their services in the future

Today's guest is Jason Hughes, Director of Data & Analytics at Delta Dental in Minneapolis. Jason has spent over 10 years in the Data and Analytics space in roles ranging from BI developer to business analyst to management roles. He’s worked in a variety of industries and for Fortune 200 companies as well as companies with less than 200 employees. Currently, he supports the Data and Analytics teams at Delta Dental working with external data vendors at all levels to ensure data quality, improve latency and implement modern solutions that drive better data efficiencies for all parties. In the episode, Jason will discuss: The interesting work they are doing at Delta Dental, Embracing workflow management and automation, Interesting Digital Transformation projects they are working on, Stakeholder and team engagement during a transformation, How the role of a Data Analyst has evolved in the past 19 years, and Advice to those looking towards a career in AI and Data Analytics

Today's guest is Clemens Viernickel, CEO and Co-Founder at SiaSearch in Berlin. Building robust, industrial AI like automated driving is extremely difficult. Everyone thinks about algorithms, but up to 75% of engineering time is spent on highly manual tasks, namely manually reviewing and selecting masses of data instead of building algorithms. That is why Clemens and his team developed SiaSearch, a data management platform which automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI. In the episode, Clemens will tell you about: His journey to founding SiaSearch, Problems they are solving at SiaSearch within data management, The impact of Deep Learning and Computer Vision, Why do data science projects fail?, & What the future holds for SiaSearch

Today's guest is Ganes Kesari, Co-Founder and Chief Decision Scientist at Gramener in New Jersey. Founded in 2010, Gramener is a data science company that helps solve complex business problems with compelling data stories using insights and a low-code analytics platform. They help enterprises large and small with data insights and storytelling by leveraging Machine Learning, Artificial Intelligence, Automated Analysis and Visual Intelligence using modern charts and narratives. In his role as Chief Decision Scientist, Ganes advise executives aligning their data science strategy with business vision, building teams to apply advanced analytics and data visualization, and helping businesses adopt a data-driven culture. He leads Gramener's innovation through our AI Labs and Data Story Labs. through running experiments on the latest techniques in deep learning and data storytelling, and tailoring them for enterprise applications. In the episode, Ganes will discuss: The fascinating work they do at Gramener, How the company has evolved from its early days to now, Helping customers create a successful AI and Data Science strategy, Interesting use cases of the benefits they bring customers, Recent challenges they are helping companies overcome, What they look for when hiring into the team, and Advice to those considering a career in Data Science

Today's guest is Benn Stancil, President and Founder at Mode in San Francisco. Benn founded Mode in 2013 along with Derek Steer and Josh Ferguson. While working in analytics at Yammer, they saw Amazon Redshift and other cloud-based data warehouses making it possible for companies of all sizes - not just tech giants - to gather and analyze data. The trio recognized the need for a collaborative platform designed for people who work on the frontier of data analysis, one that would streamline analyst workflows and make it possible to share insightful and actionable data across entire organizations. With that, Mode's Analytics Platform was born to help data analysts and data scientists analyze, visualize and share data. In the episode, Benn will discuss: The journey to setting up his own company, How he went about building a successful team at Mode, What makes them stand out from the competition, Key learns on building a tech startup from the ground up, Challenges the data analytics work on day-to-day, Why he loves his job & what the future holds for Mode, and Exciting career opportunities at Mode

Today's guest is Todd Bashor, Product Leader & Solution Provider at NewRocket in San Diego. NewRocket is a user experience and software integration company that builds extraordinary experiences on ServiceNow. Their goal is to utilize the latest advances in service portal technology along with design thinking to create tools that make getting the job done easier. They aim to streamline workflow through automation while making the experience one that might even make you smile. In the episode, Todd will discuss: The exciting work they do at NewRocket, Benefits that their Servicenow platform brings to clients, Influencing and educating customers on ServiceNow, Successful case studies of their platform in production, Advice to C-Suite executives looking to bring in new enhancements, The future of AI and the user experience, and Using ServiceNow to deliver a better Digital Workplace

Today's guest is  Dev Bapat, Head of Data Science and Product Management at Johnson & Johnson in New Jersey. Johnson & Johnson is the largest and most broadly-based healthcare company in the world who have been producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and expertise enables amazing things to happen, including medical devices such as 3-D printing artificial joints personalized for each patient and applying AI in pharmaceuticals to discover lifesaving drugs. Dev has driven profitable growth by developing and successfully deploying digital solutions leveraging ML/optimization across the enterprise for over 20 years across key areas in digital surgery, health economics and outcomes, pricing and marketing. He built and deployed digital solutions at Johnson & Johnson to achieve top-line growth and improve patient safety in the areas around marketing, segmentation, pricing, market mix optimization, surgical effectiveness, health economics and sales operations. In the episode, Dev will discuss: How his role has evolved with Johnson & Johnson, Leveraging data across different functions within the organization, Building the data science practice for medical devices, What’s kept him engaged in the role, Balancing his duties between data science and product management, Exciting projects they have worked on recently, and Skillsets they looking for when growing the team

Today's guest is Jacob Shiff, Co-Founder & COO and Leonard Apeltsin, Head of Data Science at Anomaly. Founded in 2020, Anomaly is tackling the challenge of fraud, waste and abuse (FWA) in healthcare, a problem costing over $300 billion per year in the US. They are building software that uses analytics, ML and proprietary data to catch and prevent improper healthcare payments for payers and employers. Anomaly brings together top engineers and data scientists, deep payment integrity domain experts, and experienced payer and benefits leaders. In the episode, Jacob and Leonard will tell you about: What inspired them to set up Anomaly, The impact they are making within Healthcare Finances, Applying AI & Data Science to help solve these problems, Key steps on bringing predictive models into production, Challenges they need to overcome working with data, Skills they look for when hiring Data Scientists, & What excites them for the future of Anomaly