Home maintenance probably isn’t an industry most would associate with artificial intelligence, but Dobby is bringing the industry into the 21st Century. With a focus on increasing home value and providing the homeowner with a luxury experience, our guest Satadru Sengupta is hyper focused on bring operational efficiency to the maintenance process via digital transformation.
In this episode, we discuss best practices for implement artificial intelligence in enterprise organizations, how to prioritize use cases, creating an AI architecture as a startup, and much more.
If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
Show Notes with Timestamps (VIDEO):
4:16 Three phases of evolution of AI in the enterprise
7:06 Working with stakeholders to define data and ensure AI solution engagement
9:39 How enterprises can determine AI use cases to tackle first
11:55 Balancing between quick wins and long-term impact when choosing an AI project
14:20 How Satadru chose which sector he’d launch an AI startup
20:04 How users engage with Dobby and it’s core functionalities
24:35 Creating the architecture required to deliver an effective AI solution
25:59 Dobby’s geographic expansion strategy
27:54 Establishing a strong founding team
32:03 The playbook — How a global talent/engineering team enabled Dobby to scale economically
37:15 Keys to make a remote work team function efficiently
41:33 Lessons Learned: Add value to earn data (from customer)
44:03 Favorite tech tool as an AI Founder
44:32 Favorite leaders in AI and in Business
Next Episode: Apoorva Dornadula, Founder of Viralspace