Artificial Intelligence is rapidly reshaping the physical security industry, from surveillance cameras to real-time threat detection. In this episode, Uday Kiran Chaka, Founder & CEO of Smart Sentry AI, shares how a personal security incident inspired him to build an AI-powered security platform designed to prevent crime, reduce false alarms, and improve public safety. We explore how AI outperforms human monitoring when analyzing security camera footage, why false positives and false negatives are one of the biggest challenges in AI security systems, and why human oversight remains critical in high-stakes environments. Uday explains how Smart Sentry AI integrates with existing security infrastructure, lowers operational costs, and uses psychological and behavioral insights to strengthen crime prevention. This conversation is essential viewing for anyone interested in: AI in physical security & surveillance Crime prevention technology AI + human collaboration Enterprise and city-scale security solutions The future of safety, privacy, and automation

Key Topics Covered:

AI vs human monitoring in surveillance False positives vs false negatives in security systems Human-in-the-loop AI models Cost reduction with AI security platforms Privacy, ethics, and responsible AI Building safer communities with technology

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How do $100M+ family offices really think about AI, startup investing, and generational wealth, and what do founders need to understand BEFORE ever pitching them?

In this powerful episode of AI for Business, host Sarah Hajipour sits down with Jimmy Egas — global family office advisor at Presto & Partner — to break down the hidden world of ultra-high-net-worth investors and how they’re shaping the future of AI, capital allocation, and global markets.

Jimmy reveals what most founders never hear: Family offices are not VCs. They don’t chase fast returns. They don’t operate on 5–7 year cycles. They don’t invest because they “have to deploy.” They invest because of values, legacy, reputation, and long-term strategy.

If you’re a founder building in AI, deep tech, energy, cybersecurity, health, wellness, or infrastructure — this episode is your shortcut into the world of private wealth, global influence, and long-horizon investing.

🔥 In This Episode, You’ll Learn:

💰 Family Offices vs VCs: What’s Actually Different

• Why VCs chase fast returns but family offices care about generational outcomes • Why most early-stage founders are “too early” for family offices • When founders SHOULD approach a family office — and when they absolutely shouldn’t

🧠 How the Ultra-Wealthy Think About AI

• Where family offices are investing in 2025: AI infrastructure, data centers, energy, robotics, cybersecurity • The “casino analogy” — and why smart investors prefer to own the casino, not play the slot machines • Why AI infrastructure is becoming the next trillion-dollar wealth driver

🌍 Global Wealth Trends

• Why investors are moving capital to regions like Dubai, Riyadh, Zurich, Singapore, Norway & Greece • How global tax strategy, energy costs & longevity trends drive investment decisions • What wealthy families want more than anything: health, lifestyle, community, purpose

🚀 For Founders: How to Actually Get in the Room

• How to find family offices in real life (not theory) • How to build trust when you’re NOT raising yet • Why traction & sales outperform any pitch deck • The real reason most startups fail (team misalignment + no revenue obsession)

👤 About Jimmy Egas

Jimmy works with single family offices, UHNW families, and global private investors across New York, Zurich, Riyadh, Dubai, London, Singapore, and Los Angeles. Through Presto & Partner, he helps bring together capital allocators, high-growth companies, institutional investors, and global leaders through premium family office forums.

He is also a former founder, operator, athlete, and advisor to growth-stage teams — giving him a uniquely holistic perspective on wealth, innovation, and people.

🔗 Connect with Jimmy Egas

• LinkedIn: search “Jimmy Egas Presto & Partner” • Email: jimmy.egas@prestoandpartner.com

⭐ Who This Episode Is For:

This conversation will deeply serve: • AI founders • Startup founders (seed → Series C) • Operators building in tech, infra, or health • Angel investors & VCs • Family office executives & allocators • Anyone curious about AI’s impact on global wealth

If you want to understand the real forces shaping AI, capital, and innovation, this episode is a must-listen.

🎧 Support the Show

If you enjoy this conversation, please subscribe, rate, and share AI for Business — it helps us reach more founders, operators, and future builders.

Why do so many AI projects stall in notebooks—and what actually gets models into real-time production with measurable ROI? In this episode, Tanu Chellam, SVP of product at Seldon.io breaks down the no-BS path to deploy, monitor, and scale ML at enterprise level.. You’ll learn:

• The shift from “chatbot = AI” to real MLOps and why that matters
• The true cost of latency and late model releases (FS, e-commerce, manufacturing, healthcare)
• Why models get stuck in notebooks—and the playbook to ship anyway
• MLOps maturity signals: team, skills (Kubernetes/infra + ML), and tooling
• Human-in-the-loop vs. person-in-the-middle (and when to use which)
• Model monitoring 101 for execs: uptime/SLA vs. drift, bias, outliers, explainability
• Hiring sequence: DevOps→Data Science (reuse models) vs Data Science→DevOps (build from scratch)
• How to “win enterprise AI”: champions, partnerships, evolving product-market fit
• 3 enterprise AI wins right now: fraud detection, recommendation engines, expert AI agents for support

A quick learning point not mentioned in the chat: "Human In The Loop" is an AI concept and "Man In The Middle" is a cyber security term!

About Tanu: She is Top 30 Women in Product, YWCA Silicon Valley Tribute to Women and PMF with 20+ yrs of experience currently SVP of AI products in Seldon.io, HBS-trained technical product leader; ex-Autodesk, HPE, Oracle. She is an advisor with Techstars, IoT Tribe, and gov programs such as UK APPG AI, Singapore GovTech, and a Chairperson of the Board at Atlas Rosetta. About Seldon.io: Since 2014, Seldon has built enterprise infrastructure to deploy, manage, and scale ML with flexibility, observability, and cost-efficient modularity—so AI drives real business impact. Connect with Tanu: 🔗 LinkedIn: / tanuchellam 🌐 Atlas Rosetta: https://atlas-rosetta.com/ 🤝 EntorCruise (search “Tanu”): http://entorcruise.com/ Learn more about Seldon: 🌐 https://www.seldon.io/

CodeFlash .ai is your AI-powered Python performance optimizer. It automatically rewrites and accelerates any Python codebase, speeding up major platforms like Pydantic, Hugging Face & Roboflow. With CodeFlash, every pull request becomes an expert performance review while your team ships high-speed features, keeps costs down and your product always stays rock-fast. Founder and CEO, Saurabh Misra's Linkedin: / saurabh-misra Saurah's email :saurabh@codeflash.ai Saurabh's Github: misrasaurabh1.github.io/ CodeFlash's website: https://www.codeflash.ai

n this episode of AI for Business, host Sarah Hajipour sits down with serial entrepreneur and healthtech innovator David Pachkofsky — the Founder & CEO of Dapper.Care , a next-generation compounding pharmacy platform that’s redefining how doctors and patients experience modern healthcare. After building and exiting multiple startups across media, e-commerce, and digital marketing — including one of the world’s earliest and largest email marketing platforms that sent over 1 billion emails per week — David turned his focus to healthcare. With over 25 years of growth hacking, product innovation, and angel investing experience, he saw an industry full of inefficiencies, middlemen, and outdated systems — and decided to fix it. Dapper.Care was born out of a simple insight: the healthcare industry’s direct-to-consumer (D2C) telehealth model (like Hims, Ro, and others) was pushing doctors out of the care loop, inflating customer acquisition costs, and offering limited personalization. David flipped the model. Instead of competing with physicians, Dapper built a B2B2C platform that empowers them — combining compounding pharmacy precision, telehealth accessibility, and AI-driven patient engagement. With Dapper.Care, doctors can now: 💊 Write prescriptions in as little as 22 seconds using built-in formularies. ⚡ Guarantee 24–72-hour nationwide delivery of compounded medications. 🧬 Offer patients affordable, customized treatments — up to 90% cheaper than branded equivalents. 🩺 Access at-home diagnostic kits that test over 120 biomarkers using just a finger-prick. 🤖 Leverage Dapper’s AI Health Companion, an “always-on” support system that improves medication adherence, provides reminders, offers lifestyle coaching, and flags possible drug conflicts — all while keeping physicians in control. Physicians can onboard in minutes at zero cost, improve operational efficiency, and even join Dapper’s advisory network or invest in the company. David calls it “closing the loop between doctor, patient, and pharmacy.” This approach helps practitioners reduce administrative burnout, ensure continuity of care, and deliver FDA-approved compounded medications backed by science — not hype. From hormone replacement therapy (HRT) to GLP-1 weight-loss injectables, Dapper’s compounding network ensures high-quality, patient-specific treatments delivered fast and securely. Dapper.Care isn’t just another healthtech company — it’s a full-stack re-engineering of modern medicine delivery, where doctors stay at the center of care and patients get faster, more affordable, and more personalized treatment. David's Linkedin: https://www.linkedin.com/in/davidpachkofsky/ David's website: https://davidpachkofsky.com/ Dapper's website: https://www.dapper.care/

Naeem Zafar is a serial entrepreneur and professor who bridges technology, venture, and education. He's founded six companies, raised more than $100 m , and advised dozens of startups on scaling, product strategy, and fundraising. In addition, Naeem has been teaching entrepreneurship and innovation at UC Berkeley since 2005 and at Northeastern University’s Silicon Valley campus. His practical, no-fluff approach has made him one of the most respected startup mentors in the Bay Area. ➡️Naeem's website: http://www.naeemzafar.com/ ➡️Naeem's Linkedin: / naeemzafar ➡️nzafar@gmail.com

Get 60% off, click here: https://bit.ly/60-promo Akshay Bajaj is a founder, AI systems architect, and the CEO of HostEasy, an AI-powered platform that fully automates short-term rental management. With over a decade of experience building autonomous systems for self-driving cars, humanoid robots, and drone delivery aircraft, Akshay has spent his career designing technology that frees people from repetitive work. After running his own Airbnb, he saw firsthand how overwhelming hosting could be—constant guest messages, cleaners who needed coordination, and the endless grind of being “always on.” That experience sparked HostEasy, which replaces expensive property managers and scattered tools with one intelligent AI assistant that handles everything: guest communication, cleaner/vendor coordination, pricing optimization, and even reimbursement cases with Airbnb. Today, HostEasy is live across 3 countries, manages properties with a 100% customer retention rate, and partners with industry leaders like Pricelabs, Autohost. Akshay’s vision goes beyond hospitality, he calls it “Freedom-as-a-Service”, building an agentic AI infrastructure that orchestrates real-world operations, so people can reclaim their time and focus on what matters most. Get 60% off, click here: https://bit.ly/60-promo Akshay's LinkedIn: https://www.linkedin.com/in/akshay-bajaj-271b51127/ HostEasy's website: https://www.hosteasy.ai/ HostEasy's email: yourfreedom@hosteasy.ai

Eunjoon (EJ) Cho is the Co-Founder & CEO of Tofu, an AI-first B2B marketing platform that raised $12M in Series A funding. A Stanford PhD graduate, EJ brings deep AI expertise from his tenure at Google, working on speech recognition and training language models, Meta/Facebook, and Affirm where he served as Director of Engineering. He started his career building AI systems before generative AI became mainstream, making him uniquely positioned to reimagine marketing workflows with LLMs. EJ left the comfort of Big Tech to solve a problem he saw firsthand: B2B marketing teams drowning in disconnected tools and manual workflows. Under his leadership, Tofu now serves fast-growing startups to enterprises like RingCentral and Fastly, helping marketing teams ship campaigns 8x faster across email, landing pages, case studies, and more. EJ's LinkedIn: https://www.linkedin.com/in/ej-makes-tofu/ TOFU's Website: https://www.tofuhq.com/