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In this episode of The Un-Traditional Entrepreneur, host Juming Delmas sits down with Dom Finetti, founder of Parrot, a SaaS platform designed to make the hiring process more fair, skills-based, and transparent.

The conversation explores one of the most difficult realities founders face: when you are building a company, should you hire the person you know and trust, or should every candidate be judged through the same merit-based process?

Dom explains how Parrot aims to reduce bias in hiring by anonymizing candidate information and using AI to evaluate skills, experience, and qualifications. His argument is that traditional hiring often rewards personal connections, referrals, and familiarity, leaving other qualified candidates at a disadvantage before they ever get a fair shot.

Juming pushes back from the founder’s perspective, arguing that business owners often hire people they know because familiarity, reliability, and trust matter when the pressure is real. If a founder has worked with someone before and knows how they perform, is it wrong to choose that person over a stranger with a strong resume?

The discussion moves into the limits of resumes, interviews, and judgment. A resume may get someone in the room, but personality, traits, work ethic, communication style, and character often determine whether they are actually the right fit. The challenge is figuring out how to evaluate those qualities fairly when you do not already know the person.

Juming and Dom also debate how past experiences shape hiring decisions. If a business owner was burned by a previous employee, is it unfair to be cautious when a new candidate reminds them of that situation? Or is that simply part of the judgment founders are forced to make?

This episode raises important questions for entrepreneurs, founders, hiring managers, and job seekers about fairness, bias, AI, trust, referrals, resumes, and the human side of hiring.

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n this episode of The Un-Traditional Entrepreneur, host Juming Delmas sits down with Ashok Mittal, CEO and Founder of Fintech Global Center, for a wide-ranging conversation about artificial intelligence, fintech, cybersecurity, and the future of business.

Ashok brings a rare long-view perspective to the AI conversation. Originally from India, he moved to the United States 40 years ago and earned a master’s degree in artificial intelligence in 1986 — long before today’s generative AI boom. Before building a career in global finance and trading systems, he also worked with the Indian Space Research Organization, India’s equivalent to NASA.

Together, Juming and Ashok explore how AI has evolved from early neural networks, natural language processing, and limited computing power into today’s fast-moving world of generative AI. Ashok explains why the ideas behind AI are not new, but the compute power, scale, accessibility, and speed of modern systems have changed everything.

The conversation also gets into the larger question entrepreneurs and business leaders are asking: is AI a tool, a threat, or both? Ashok compares artificial intelligence to nuclear technology, arguing that it is not inherently good or bad. Its impact depends on who controls it, how it is used, and whether it is applied to solve problems or create harm.

Cybersecurity becomes a major part of the discussion as Juming and Ashok examine the risks of advanced AI systems being used for hacking, automated attacks, and digital disruption. They also discuss why regulating AI is so difficult. Unlike nuclear technology, AI can be developed almost anywhere by anyone with enough computing power, making global oversight far more complicated.

The episode also looks ahead to the future. Juming brings up predictions that AI could surpass combined human intelligence within the next decade, while Ashok offers a more measured and optimistic view. He explains that human intelligence is constantly being redefined and that society will likely develop new checks, balances, and systems as the technology advances.

Along the way, Ashok shares a nostalgic look at the early days of computing, from IBM PCs with 512K memory and floppy drives to bulletin board systems, modems, and the pre-internet era of file sharing.

This episode is for entrepreneurs, tech leaders, fintech professionals, business owners, and anyone trying to understand how artificial intelligence may reshape business, finance, cybersecurity, and society.

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#UnTraditionalEntrepreneur #BusinessAndBullshit #ArtificialIntelligence #GenerativeAI #AIinBusiness #Fintech #Cybersecurity #Entrepreneurship #AIRegulation #FutureOfAI #TechPodcast #BusinessPodcast

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In this episode of The Un-Traditional Entrepreneur, host Juming Delmas sits down with business mentor and coach Benoy Tam for a direct conversation about entrepreneurship, cash management, sales, work-life balance, and why “hope” can become one of the most dangerous traps in business.

Benoy shares insight from his experience starting seven businesses and explains why entrepreneurs need more than motivation, optimism, or a good idea. One of the biggest themes of the episode is that hope can slow a founder down when it keeps them from looking at problems with clinical accuracy. In business, the numbers, systems, cash flow, sales process, and customer value have to be faced honestly.

The conversation also explores Benoy’s “four burners” theory: family, work, health, and social life. While different seasons of life may require one area to receive more attention than another, Benoy argues that no burner should ever be completely turned off. Juming and Benoy discuss why entrepreneurs often sacrifice too much in the name of growth and how maintaining boundaries can actually protect the quality of your business, product, and service.

Cash management becomes another major focus of the episode. Benoy explains why poor cash management is one of the most common reasons businesses fail and why founders have to understand the movement of money inside their company. As he puts it, cash is king for a reason. Without cash, even a great idea or strong product can run out of room to grow.

The episode also gets into sales as a survival skill. Benoy makes the point that if a founder cannot sell their product, explain its value, or communicate why someone should buy, they may not be ready to start or scale a business. Sales are not optional — they are the engine that creates the cash needed to keep a company alive.

Juming and Benoy also break down the difference between a consultant, mentor, and coach. A consultant is brought in to solve a specific problem. A mentor gives advice based on personal experience. A coach helps you think through decisions, evaluate options, and become a stronger leader for yourself.

This episode is for entrepreneurs, founders, business owners, and leaders who need a clear reminder that growth requires honesty, structure, boundaries, sales, and disciplined cash management — not just hope.

Connect with Benoy Tam at techceocoach.com, where you can also download his free digital book on business effectiveness.

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