Healthcare organizations are grappling with an intensifying cybersecurity crisis. Sophisticated ransomware groups, vulnerable legacy systems, expanding digital footprints, and limited security resources have combined to create what some experts call a “perfect storm” of risk exposure. To explore how providers can better protect themselves, BizTechReports spoke with Vince Crisler, Chief Strategy Officer of Celerium, a cybersecurity firm focused on automated detection and surgical containment of cyber threats.

The life insurance industry is steadily overcoming long-standing friction to digital transformation as consumer expectations, regulatory demands, and operational inefficiencies converge with emerging technologies and viable AI-enabled business strategies. While historically slow to modernize—due in part to legacy systems, complex stakeholder relationships, and a risk-averse culture—the sector is now reaching a tipping point. Accelerated by the pandemic and reinforced by changing demographics, insurers are embracing tools that promise both efficiency and enhanced customer engagement. 

As AI workloads move closer to the data source, organizations are being forced to reassess how they structure infrastructure, coordinate operations, allocate investment, and govern change. This shift was explored in depth during a webinar hosted by Penguin Solutions (formerly Stratus Technologies) titled “Establishing a Framework for Transforming Industrial Operations with Real-Time Edge AI,”.

In this Q&A, Krauthamer explains the strategic context of the quantum threat, operational readiness challenges, cost dynamics, and how crypto-agility can serve as both a security enabler and a source of long-term risk reduction. Her insights are grounded in both national defense experience and enterprise adoption, making this conversation essential for cybersecurity and IT leaders navigating the quantum era in both private and public sectors.

As artificial intelligence (AI) transforms nearly every industry, the property technology sector—PropTech—is seeing a surge in innovation across leasing, operations, asset management, and portfolio strategy. To better understand how AI is being deployed within commercial and residential property ecosystems, BizTechReports spoke with Carla Hinson, Vice President of Solution and Innovation at MRI Software. With nearly three decades of experience in real estate technology, Hinson offers grounded insight into how AI is moving from pilot to practice in a traditionally risk-averse industry.

“People talk about Q-Day like it’s a future event,” said Rebecca Krauthamer, Co-Founder and CEO of QuSecure, a cybersecurity company that provides post-quantum cryptography (PQC) solutions, in a recent executive conversation. “But from a risk management perspective, we’re already there. Data that’s being stolen now could be exposed later by quantum technology. This is worrisome for data that has a long shelf life, like medical records, intellectual property, or classified communications.”

The property technology sector—PropTech—has entered a phase of accelerated disruption, driven by the convergence of artificial intelligence, legacy system modernization, and shifting economic pressures across residential, commercial, and industrial segments. What began as a fragmented landscape of point solutions is rapidly evolving into an interconnected ecosystem where strategic data access, automation, and predictive analytics define competitive advantage.

Autonomous delivery is poised to become a standard feature of logistics—but a key element of that ecosystem has long gone unaddressed: where do drones, robots, and unmanned vehicles actually deliver their payloads? According to Dan O’Toole, CEO of Arrive AI, the answer lies not in the sky, but at the curb.

The lack of intelligent, secure, and universally accessible delivery endpoints has emerged as a critical gap in the autonomous delivery ecosystem. Long overshadowed by the spectacle of unmanned aerial vehicles and sidewalk rovers, these “last-inch” infrastructure platforms may be the linchpin in the transition to autonomous delivery at scale.

The growing reach of AI across business operations is reshaping the demands placed on data centers in every industry. This BizTechReports briefing synthesizes insights from four recent reports to explore how data centers are evolving—consolidating platforms, securing new power sources, adopting more flexible investment models, and redesigning infrastructure to support AI at scale.

As generative AI reshapes the automation landscape, mid-market enterprises are under pressure to modernize—without the disruption or cost traditionally associated with large-scale transformation. In this exclusive BizTechReports interview, Mahesh Vinayagam, CEO and Founder of qBotica, explains how combining generative AI with robotic process automation (RPA) is changing the game.

The U.S. mortgage sector is at a crossroads. For decades, the process of getting a home loan has been synonymous with paperwork, stress, and a lack of transparency. But the convergence of artificial intelligence, rising consumer expectations, and housing market volatility is forcing the industry to evolve. With affordability challenges mounting and younger, tech-savvy buyers entering the market, lenders are being pushed to rethink not just how they operate—but why.

As artificial intelligence (AI) reshapes the enterprise technology landscape, industry leaders are rethinking modernization strategies to balance agility, security, and compliance. That was the key takeaway from a recent CIO Magazine roundtable, co-hosted by Skyla Loomis, Vice President of IBM Z Software, and John Currie, Partner, Mainframe Application Modernization at IBM.

Chris Miller, Vice President of Sales and Marketing at ATB Technologies, brings firsthand perspective on how SMBs are navigating this transformation. As a managed services provider (MSP) with deep roots in manufacturing, engineering, and nonprofit sectors, ATB is working on the front lines to help organizations adopt AI in ways that are responsible, practical, and tailored to their specific needs.

The AI revolution is no longer confined to the Fortune 500. With copilots, chatbots, and machine learning tools becoming increasingly accessible through mainstream productivity suites and cloud platforms, small and midsize businesses (SMBs) are confronting a new set of strategic, operational, and technological decisions—many without the internal expertise typically found in enterprise environments.

From dental clinics to moving companies, SMBs are deploying AI-powered phone agents to manage calls, qualify leads, and schedule appointments—automating front-office tasks that were once exclusive to large contact centers. So said Lyle Pratt, founder and CEO of Austin-based AI startup Vida in a recent BizTechReports vidcast interview for journalists.

Small and midsize businesses are undergoing a quiet transformation as AI phone agents reshape how they handle calls, schedule appointments, and engage customers—bringing automation once reserved for large enterprises into the SMB mainstream. From dental clinics to moving companies, SMBs are deploying AI-powered phone agents to manage calls, qualify leads, and schedule appointments—automating front-office tasks that were once exclusive to large contact centers.

In this conversation with BizTechReports, Francesca Axam-Frederick, CEO and Co-founder of Grantyd, explores how artificial intelligence, automation, and digital workflows are reshaping the grant writing process. From solo fundraisers to institutional teams, the question is no longer whether to modernize, but how to do so without compromising mission, ethics, or voice.

As digital demands intensify across every sector of the economy, data centers are emerging as both vital infrastructure and operational bottlenecks. The exponential growth of AI, cloud services, and high-performance computing has placed new strains on power availability, cooling capacity, and skilled labor—forcing a rethinking of what it means to be “future-ready.”

As government grants shrink and private funders raise the bar on accountability and responsiveness, nonprofit organizations are navigating a complex new funding landscape—one where operational capacity, not just mission alignment, increasingly determines outcomes.