In this episode of the Darius Gantt Show, we sit with Gary Saarenvirta, the founder and CEO of Daisy Intelligence, to discuss his journey in the world of autonomous AI and the challenges and successes of building a company that revolutionizes decision making. Gary is a preeminent expert on autonomous AI, and his company has pioneered explainable decisions as a service for merchandise planning and risk management. This technology is transforming the way retailers and insurers make data-driven decisions. Gary's background in numerical methods and machine learning led him to be one of the first worldwide users of IBM's machine learning product, and he eventually left IBM to found Daisy Intelligence. Gary discusses how his company's technology is similar to how Neil Armstrong gave the computer instructions to land the lunar module, with the human setting the objective and the computer taking care of the details. He also covers the importance of control theory and system thinking when it comes to successfully leveraging AI. Gary highlights the use of control theory in the aerospace industry and explains how it is essential to wrap machine learning and predictive modeling in control theory to create stable and fault-tolerant AI systems. 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. Founder Bio: Gary Saarenvirta is a Canadian engineer, scientist, speaker, and entrepreneur. Saarenvirta is best known for being the founder and CEO of the Canadian Artificial Intelligence (AI) company Daisy Intelligence. In 1992, Saarenvirta worked as an Object-oriented_programming software development consultant for three years at METEX, known for selling forth generation software development platforms. For the following five years, he was the general manager of data analysis consulting at The Loyalty Group, best known for their Air Miles program. In 2000, Saarenvirta joined IBM as the head of data mining and data warehousing practices until 2002, when he then moved on to become the chief operating officer at Adastra Corporation until 2003. In 2003, Saarenvirta began his entrepreneurship, founding Makeplain Corporation on December 22nd. In 2016, the company was rebranded, and became what is known today as Daisy Intelligence. Time Stamps: 02:22 Gary Background and origins of AI in Toronto 05:20 Benefits of AI and machine learning 09:42 Autonomous decision making in fraud detection and retail merchandise planning 13:20 Leveraging technology to support employees 16:25 Exploring the benefits of AI-driven technologies for content creation 18:55 Benefits of autonomous AI software for businesses 23:34 Danger of a data-driven approach in business and engineering systems 26:08 Optimizing retail merchandise planning decisions 27:59 Benefits of predictive modeling and change management in retail planning 30:53 Building trust through AI 33:05 Change management and AI implementation considerations 35:05 Automating data cleaning for ai development 36:44 Hiring for machine learning team in a data science company 39:07 Retaining talent in a startup scale up: strategies for success 42:30 Discussion on the safety of Chat GPT and Google ads systems 44:33 How to get in contact with the Daisy Intelligence team Resources Company website: https://www.daisyintelligence.com/ LinkedIn: https://www.linkedin.com/company/daisyintelligence/ Twitter: https://twitter.com/daisyintel

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related