Tech Talks Daily

If you've ever used IntelliJ IDEA, PyCharm, or Rider, you've probably already felt the impact of JetBrains. But what happens when one of the world’s most trusted software development toolmakers starts asking whether developers should completely rethink their identity? In this episode of Tech Talks Daily, I caught up with Kirill Skrygan, the CEO of JetBrains. Kirill’s story is something many developers will admire. He joined JetBrains as a junior developer back in 2010 and steadily worked his way through the ranks. Along the way, he helped launch new products, led remote development during the pandemic, and is now steering the company into the AI era. This isn’t just about adding AI features to tools. Kirill is challenging long-held assumptions about what it means to be a software engineer. He believes we’re entering a new chapter where non-technical creators will build their own tools, and where proactive AI agents will help maintain and even update code automatically. It’s a bold vision, but one grounded in practical experience and responsibility. JetBrains creates intelligent software development tools trusted by over 15 million users and 88 Fortune Global Top 100 companies. We explored how AI is lowering the barrier to software creation, what that means for traditional developers, and why Kirill believes the shift won’t devalue their skills but rather evolve them. He shared insights into JetBrains' own AI agent, Junie, which is already being used in production environments. He also talked about Kineto, their no-code platform designed for a new generation of creators, including those who want to build apps without a computer science background. There’s also an honest discussion around the friction points of this new wave, especially when non-engineers build tools that later need to be secured and maintained. Kirill didn’t shy away from the complexity of that challenge, but he’s optimistic that the industry can solve it. Toward the end of the conversation, we reflected on JetBrains’ role as an independent company that doesn’t chase hype or rely on VC funding. That independence gives them the freedom to build what developers actually need, rather than what might look good on a press release. This episode is a thoughtful look at the future of software development, leadership from inside the codebase, and the evolving relationship between humans and AI in one of tech’s most foundational professions. If you’re a developer, CTO, product manager, or simply curious about how AI is changing the craft of coding, this one’s worth your time.

In this episode of Tech Talks Daily, I caught up with Raj Samani, Chief Scientist at Rapid7, to unpack the rapidly evolving world of ransomware. Raj has been on the front lines of cybercrime response for years and has seen firsthand how these attacks have professionalized. Gone are the days of casual ransomware notes asking for a few hundred dollars. Today, these groups operate like fully formed businesses with help desks, R&D teams, and carefully designed extortion models. We talked about how ransomware has become a reputational risk issue more than just a technical one. Raj shared that CEOs are often more concerned about data being exfiltrated and leaked to the press than they are about systems being locked down. It’s no longer just about recovering files. It’s about trust, public perception, and the long tail of brand damage. One of the most revealing parts of our discussion was how these attacks typically unfold. Raj walked me through real-world scenarios where criminals have remained inside networks for months, even years, before launching their final payload. He also described how careful planning, coordinated strike days, and threat intelligence can disrupt an attacker’s kill chain before irreversible damage is done. We explored the uncomfortable truth that many organizations still fall victim to basic attacks because of poor cyber hygiene. While the threat landscape is becoming more sophisticated with the use of zero-day vulnerabilities and social engineering, many breaches still happen through exposed RDP ports or convincing phishing attempts. Raj also offered candid insights into the ethics and complexities of ransomware negotiations, why outright banning payments may backfire, and what companies should do in the first few hours after discovering they’ve been hit. He made it clear that cybersecurity is no longer just an IT issue. It affects everything from supply chains to public services and daily life. Is your organization prepared for the moment when ransomware moves from IT’s concern to the boardroom’s crisis?

n this episode of Tech Talks Daily, I’m joined by Mohib Yousufani, a senior partner at PwC who leads growth, turnaround, and digital transformation initiatives for Fortune 500 companies. Mohib brings a sharp focus on value creation, helping business leaders move beyond technology hype to deliver measurable outcomes through thoughtful digital strategies. Our conversation begins with a hard truth: many companies are confusing technology adoption with business outcomes. Mohib shares how organizations often rush to embrace the latest AI trends or automation tools without first identifying the core problems they need to solve. That misalignment, he explains, is why many digital transformation efforts stall or fail to scale beyond pilot mode. Mohib breaks down PwC’s approach to digital transformation, which begins by translating enterprise ambition into actionable plans. We explore how aligning business unit goals, operating models, and leadership behavior is critical to successful implementation. He also offers a candid view of why so many projects suffer from process debt and legacy friction, often ignoring the people and culture dynamics that are central to lasting change. One of the most powerful parts of our discussion centers on how to evaluate ROI. Instead of focusing solely on cost savings, Mohib suggests expanding the lens to include revenue growth, time to market, risk mitigation, and strategic agility. He shares a compelling success story involving a CPG company that used AI and data science to optimize trade promotions and pricing, resulting in a three percent revenue lift and two percent margin expansion. We also talk about leadership’s role in setting the tone. Culture, Mohib emphasizes, acts as a multiplier. Without executive alignment and clear behavioral modeling, even the most sophisticated tools won’t deliver the promised value. If your organization is rethinking digital strategy, this episode is packed with insights to help you move from experimentation to real business impact. Are you building digital solutions that scale beyond buzzwords?

In this episode of Tech Talks Daily, I sat down with Fred Helou, founder and CEO of Vagaro, a platform reshaping how service-based businesses in the beauty, wellness, and fitness sectors operate in a digital world. What began as an idea sparked by a frustrating haircut booking experience during a business trip to Korea has evolved into a platform used by over 250,000 professionals worldwide. Fred walked me through his journey from developing the concept in 1999 to officially launching Vagaro in 2009 after being laid off during the financial crisis. Along the way, he navigated shifting technology trends, from desktop tools to mobile apps and now artificial intelligence. At its core, Vagaro has always aimed to be a digital assistant for its users, allowing solopreneurs and large enterprises alike to focus on their craft while automation handles the rest. Our conversation explored how AI is quietly transforming the day-to-day operations of small businesses. From writing emails and responding to reviews to answering customer chats and booking appointments in real time, Vagaro’s AI tools are making it easier for service providers to grow without hiring additional staff. Fred outlined a future where professionals simply set goals for their schedule and let AI optimize bookings, promotions, and customer engagement around the clock. What stood out was Fred’s commitment to enhancing—not replacing—the human experience. He spoke candidly about the irreplaceable role of the hairdresser or personal trainer and why no one wants scissors near their neck managed by a robot. Instead, the platform empowers professionals with enterprise-grade tools once out of reach for smaller operators. Fred also shared how his experience growing up during the Lebanese Civil War shaped his resilience as a founder. That perspective has influenced Vagaro’s long-term approach to product development, culture, and navigating uncertainty. As AI evolves from assistance to autonomy, how is your business preparing to scale without losing the human touch that sets it apart?

In today’s episode of Tech Talks Daily, I sat down with Andy Bell, Head of Data Product Management at Precisely, to explore a challenge that many organizations continue to underestimate: the role of data integrity in AI strategies. With only 12 percent of businesses expressing confidence in the quality of their AI data, it's clear that the rush to implement AI is often outpacing the readiness of the data that supports it. Andy and I unpack what happens when enterprises leap into generative or agentic AI without addressing foundational data issues. From hallucinations to bias to unreliable outputs, the risks are significant. As we discussed, these risks don’t just impact models — they erode trust with customers and complicate accountability, especially in regulated industries where traceability is non-negotiable. We then explored the power of third-party data enrichment and how it can offer much-needed context that internal datasets often lack. Andy shared real-world examples, including how a major delivery company saved 65 million dollars by optimizing address accuracy and how San Bernardino County used Precisely’s wildfire risk models to improve emergency planning. These aren’t abstract use cases — they show measurable business value. Andy also introduced the Precisely Data Link program, a solution designed to make it easier to connect, manage, and query multiple third-party datasets. With persistent IDs and flexible delivery methods through APIs, managed services, and platforms like Snowflake and Databricks, Precisely is helping organizations speed up time to value while reducing integration headaches. Looking ahead, Andy shared how Precisely is building AI capabilities that allow users to query third-party data using natural language. This shift aims to make complex data interactions more intuitive and accessible to business users who may not be data engineers. If data is the fuel for AI, then the quality and context of that data will define the road ahead. Is your organization doing enough to ensure its data can be trusted by the AI it deploys?