How Do You See AI Helping with Workplace Flexibility, Particularly in the Gig Economy?
“I’m going to go meta for a second, but I think the big role of AI in the future of work is scheduling AI, essentially. And it’s big companies’ abilities to move workers around and slot them into the best possible spot. “Obviously, we need some scheduling structure and repeatability, otherwise, you can’t run factories and hospitals, but there’s a lot of flexibility around the edges of that. That’s where I think we find a lot of win-wins. We can be more personalized in allowing workers to find a flexible schedule. We can be more flexible in bringing in people on part-time, gig-type jobs to help fill out the schedule. I think that’s one of the biggest applications for AI in the workplace, before even talking about hiring decisions and other things. “It starts with scheduling and career pathing and the kinds of things that we’ve called ‘internal labor marketplace.’ I think we’re going to find those more prevalent in all kinds of big companies in particular.”How Do You Feel SaaS Will Change in the Next 5-10 Years?
“I think the short answer is, very dramatically, and I think we’re already seeing it. If I think of my own team and what I’m seeing more broadly in the industry, a lot of mid-level and entry level roles are already significantly enhanced by LLMs and the current state of AI. There are prompts where you can literally have ChatGPT write product requirement documents for almost any product feature you could think of. Obviously, it’s really good in some languages in particular, you can do the more basic integration work if you’re thinking of backend teams working on APIs and standard integrations, basic Python data crunching, a lot of those entry level software jobs. I don’t want to say that the engineers are all going away, but an engineer probably becomes 10 times more productive. “And that just has really broad implications. And I think a few years out, it’s easy to see that the job market is going to be more skewed to the top in system design.”Will the Next 10 Years Also be a Great Time for SaaS Companies to Start?
“I’m bullish on SaaS companies, and I think for the reasons we were just talking about, there’s going to be a kind of Cambrian explosion. Because you’re going to be able to found a company with minimal friction, and maybe even a company that then has 10 different MVPs in the marketplace. And essentially, you’ve written some prompts, and auto GPT style, you’re able to launch these new products. “So, I think that’s the bold future that’s coming. I think what curbs my enthusiasm probably a little bit is that big companies are going to be doing the same thing. And it’s actually going to mean that big companies will become more nimble, which is generally not so good for competition and the startup ecosystem. I think we’re going to see both of those effects at tension over the next 10 years.”
Arman Eshraghi is the CEO and founder of Qrvey, the leading embedded analytics solution for SaaS companies. With over 25 years of experience in data analytics and software development, Arman has a deep passion for empowering businesses to unlock the full potential of their data.
His extensive expertise in data architecture, machine learning, and cloud computing has been instrumental in shaping Qrvey’s innovative approach to embedded analytics. As the driving force behind Qrvey, Arman is committed to revolutionizing the way SaaS companies deliver data-driven experiences to their customers. With a keen understanding of the unique challenges faced by SaaS businesses, he has led the development of a platform that seamlessly integrates advanced analytics capabilities into software applications, enabling companies to provide valuable insights and drive growth.
Popular Posts
Why is Multi-Tenant Analytics So Hard?
BLOG
Creating performant, secure, and scalable multi-tenant analytics requires overcoming steep engineering challenges that stretch the limits of...
How We Define Embedded Analytics
BLOG
Embedded analytics comes in many forms, but at Qrvey we focus exclusively on embedded analytics for SaaS applications. Discover the differences here...
White Labeling Your Analytics for Success
BLOG
When using third party analytics software you want it to blend in seamlessly to your application. Learn more on how and why this is important for user experience.