In today’s episode of Category Visionaries, we speak with Jay Bartot, CEO of Zeitworks, about why so many startups put the cart before the horse when it comes to process automation. Zeitworks has established process discovery as a key component of its business model, to make sure they know exactly what their clients need before they start developing automated solutions for the more mundane needs underlying every business.
Jay also talks about his extensive experience in the startup space, how the tech investment environment has changed since the infamous ‘.com crash,’ and why the proliferation of AI technology can’t quite keep up with how fast the buzzword is spreading through the industry. He prefers the term ‘machine learning’ to help people understand the real processes going on behind the ‘black box’ of automated technology solutions.
- Jay’s years in the startup space, transitioning to being a founder, and the lessons he brings forward to the modern tech investment sector
- Why automation can help free up talented people from the grind of repetitive, mundane business tasks which dominate so much of their day
- Why the modern technology ecosystem is different from the ‘.com era,’ and why most companies these days are putting their business priorities first
- Why data propriety is a critical consideration for any business operating in the tech sector, and why a lack of knowledge can come back to bite you eventually
- Why discover is a critical component of business process automation, and why Zeitworks’ commitment to the details puts them ahead of the competition
- Why Jay is more comfortable using the term ‘machine learning’ than ‘AI,’ given how saturated the marketplace is right now
- How machine learning technology is poised to drive the economy of the future, and how Zeitworks is preparing to take full advantage of its meteoric rise