Podcast

Stan Smith is the  Founder and CEO of Gradient AI. Stan founded Gradient AI, first as a unique practice within Milliman to focus on the risk management and insurance industry’s most challenging business problems. He acquired the business from Milliman in 2018, founding Gradient AI as a rapidly growing independent SaaS organization.

Without a doubt, Stan has nearly 30 years of experience growing AI and technology organizations. His leadership ensures that Gradient AI is applying the latest technologies to the insurance industry, resulting in proven financial performance for its stellar list of customers and better treatment and outcomes for individuals.

Stan has held founding or executive-level roles for multiple startup companies, including Vice President at MatrixOne, Executive Vice President and General Manager at Agile Software, and CEO and Founder at OpenRatings.

Stan also led the development of patented technologies including: technology that predicts bankruptcies for small, privately held suppliers; a global database to improve supplier performance for more than 80 million companies; and, technology that combines assessments with performance data to identify opportunities for reducing inefficiencies through lean initiatives.

Artificial Intelligence (AI) has revolutionized how businesses operate, and supply chain management and insurance are no exceptions. With the ability to analyze vast amounts of data and identify patterns, AI has the potential to transform supply chain operations and insurance claims management, making them more efficient, cost-effective, and responsive to customer demands. In this thought leadership article, we explore the power of AI in supply chain management and insurance.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

In this episode, we sit down with Shani Dowell, the founder of Possip, a groundbreaking platform that bridges the gap between parents and schools to enhance student outcomes. Dowell takes us on her inspiring journey, from her background in consulting to her passion for education and the founding of Possip in 2016.

Join us as Dowell discusses the challenges faced in improving student outcomes and explores the vital role parents and teachers play in achieving this goal. We delve into the future of education and the profound impact technology has on the industry. Dowell also shares insights on fundraising and emphasizes the significance of finding the right investors for long-term success.

Discover how Possip empowers parents by providing a platform for valuable feedback to schools. With its inclusive approach, more than half of the feedback received is in languages other than English, ensuring accessibility for non-English speaking parents. Through open-ended sentiment questions, parents can express praise, seek answers to questions, or voice concerns. The technology organizes this qualitative data into subcategories, offering quantitative insights without sacrificing the richness of feedback. The collected data facilitates decision-making at the district level, and schools receive tailored recommendations based on the feedback.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. 

In this episode, we sit with Dr. Karim Galil, the founder, and CEO of Mendel.AI, an artificial intelligence-powered platform that extracts insights from medical records to improve patient outcomes. Dr. Galil shares his journey from practicing medicine to becoming a tech entrepreneur and AI’s role in making healthcare more data-driven. He discusses the challenges of subjective medical practices and the potential for AI to learn from every patient’s journey.

Dr. Galil explains that symbolic AI is more focused on teaching machines fundamentals of logic, rules, and concepts, while machine learning is more focused on learning from patterns. He gives an example of the opioid crisis, where a machine learning model would learn that opioids are great because humans are prescribing them, while a symbolic system would understand what opioids are and what the best options are. In the process of building AI in healthcare, Mendel.AI has used both symbolic AI and machine learning. Dr. Galil also discusses the challenges of talent acquisition in the AI industry and how the economy can impact AI talent availability. He emphasizes the importance of hiring talent with grit, curiosity, and coachability and the benefits of hiring mid-level to junior talent to assist the genius.

Mendel.AI is a healthcare platform that uses symbolic AI and machine learning to provide personalized treatment plans for patients. The platform reads every medical record and encounter between patients and healthcare systems to help physicians make more objective decisions. Mendel.AI works with big pharmaceuticals, payers, and data companies to help them read their data and glean insights to make better decisions. The platform can help pharmaceutical companies understand which patients respond better to what drug and in what occasions, and payers can decide whether to cover a certain medication or not. Mendel.AI uses domain experts to learn from, rather than just data, and can help pharmaceutical companies discontinue drugs that are not effective and optimize their drug offerings.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.