In this episode, we're joined by Jonathan Reilly, the Co-Founder, and COO of Akkio, a Low Code AI start-up that democratizes access to ML models and allows integration into business processes backed by Bain Capital. With a background in operations, product, and marketing at Sonos
Jonathon and I had recently caught up during the D3 (Digital, Data, Design Institute) Catalyst event at Harvard Business School. He had a compelling discussion to educate the audience on how best to leverage Low Code AI, democratizing access to ML, and the potential impact of generative technology like OpenAI’s GPT models and Stable Diffusion on the business processes.
Jon’s personal story of going into entrepreneurship and embarking on a journey within the AI and product space is an inspiring one. We discussed challenges in maintaining the company culture while scaling the business and shared compelling insights into MLOps integration with RPA (robotic process automation) software, highlighting the potential for these two technologies to work together to streamline and automate business processes.
Throughout our conversation, Jonathan touched on the ethical considerations surrounding the use of technology within AI and the responsibility of technology companies to ensure their products are being used for good. He also provided valuable advice on how to approach building high-performance teams in a beneficial culture for a technology startup.
If you're interested in entrepreneurship, AI, and the technology space, this is an episode you won't want to miss. Tune in to hear from an experienced leader in the industry!
“Everybody approaches a problem or solution space from their frame of reference. It’s really all you have is your frame of reference. If you wanna learn, you’re gonna need to get exposure to people with different frames of reference, right? You have to be open to being wrong... Acknowledge that you’re wrong before anyone else points it out. That’s a career accelerator for you.”
“if your company doesn’t adopt machine learning and everyone else does, you’re going to be operating at a massive disadvantage. And sooner or later that company will go out of business and you’ll, if you’re working in that company, going to have to get a job at a company that has adopted machine learning. And, just like that, that’s the adoption curve reality.”
Founder, Alp UgurayAlp Uguray is a technologist, operator, and founder of Masters of Automation, with experience across GTM at OpenAI, Solution Engineering at Snowflake, and the UiPath ecosystem as a five-time Most Valuable Professional. His work spans product, architecture, startups, and enterprise AI transformation.
https://themasters.ai