n today’s serverless, hybrid, and cloud-native enterprise environment, the traditional focus on perimeter and endpoint security is rapidly becoming outdated. As data moves freely across SaaS platforms, multi-cloud architectures, and decentralized workforces, data must become the core of the enterprise security model, according to Karthik Krishnan, CEO and founder of Concentric AI, in a BizTechReports executive vidcast interview.

As enterprises accelerate digital transformation, IT leaders are confronting a stark reality: the old rules no longer apply. The traditional debate about “build vs. buy” has collapsed under the weight of complexity, speed, and scale. CIOs today must now manage hybrid ecosystems composed of SaaS platforms, legacy systems, custom apps, and rapidly evolving AI technologies.

In this vidcast interview with BizTechReports, Tiago Azevedo, CIO of a leading global software company, explains how integration, not ownership, has emerged as the new core competency.

With artificial intelligence, edge computing, and real-time analytics continuing to push the capacity of digital infrastructure, mid-market enterprises are often caught between consumer-grade cloud services and enterprise-scale solutions to meet the emerging demands of their business requirements. Long considered secondary targets for infrastructure providers, leaders in these organizations are now confronting the limitations of one-size-fits-all cloud models and rediscovering the strategic relevance of regional data centers. 

The shift is not a matter of nostalgia or resistance to modernization. Rather, it reflects a deeper understanding of cost structures, accountability, and the practical realities of operating hybrid environments in an era of ballooning cloud bills and increasingly fragile IT control. So says NYI Co-founder and COO Philip Koblence.

While most business technology has focused on automating structured processes, a growing share of inefficiencies in finance operations remain tied to tasks that don’t follow neat rules or formats. According to executives from Lumina Data (https://www.luminadata.ai/), artificial intelligence (AI) is now poised to address these challenges—starting with unstructured tasks in finance departments

In a recent BizTechReports vidcast interview, Lumina Data co-founders Afrozy Ara and Deepti Chafekar, discussed how goal-based AI agents can work alongside humans to streamline processes, reduce error rates, and enable faster financial operations without requiring companies to replace their existing systems.

The cybersecurity landscape is undergoing a dramatic shift. As threats grow more complex and attackers adopt AI-driven tools, defenders are being forced to evolve just as quickly — not just in tactics, but in technology. That evolution is ushering in a new era, where artificial intelligence isn’t merely a tool, but a workforce.

According to Ambuj Kumar, Co-founder and CEO of cybersecurity company Simbian, intelligent AI agents are now doing what was once the exclusive domain of human analysts: investigating alerts, remediating vulnerabilities, and adapting to organizational processes — all at machine speed and scale.

As industries navigate rapid technological and economic shifts, business leaders are reassessing how they integrate emerging technologies with traditional operations to thrive in the "innovation economy." 

In a vidcast interview with BizTechReports, Belden CEO Ashish Chand put this conundrum into context by: outlining the key developments shaping industrial automation; describing the convergence of IT and operational technology (OT) in industrial settings; and explaining the evolving role of artificial intelligence (AI) in advancing innovative business strategies.

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.

As artificial intelligence (AI) reshapes the digital landscape, business leaders must confront a perennial -- but growing -- paradox: how to secure operations against increasingly sophisticated cyber threats while simultaneously enhancing customer and employee experiences to stay competitive. 

In a recent BizTechReports Vidcast, Stephanie Aceves, Senior Director of Product Management at Tanium, shared insights on the evolving cybersecurity landscape and the considerations decision-makers must prioritize to ensure their organizations remain secure, resilient, and competitive.

The integration of artificial intelligence (AI) and cloud computing into SAP’s enterprise resource planning (ERP) ecosystem is reshaping the business landscape, according to experts who participated in a recent CIO Online executive discussion held under Chatham House Rules. 

In the wake of that session, BizTechReports convened Don Mishory, Managing Partner at Storm Reply, and Jaydeep Rathore, Senior Innovation Architect at AWS, for a vidcast to explore the strategic, operational, financial, and technological implications of this transformation.

The intersection of artificial intelligence (AI) and healthcare holds immense promise, but achieving its full potential requires a careful balance of innovation, privacy, and regional inclusivity.

So says Julia Komissarchik, CEO of Glendor, in a recent BizTechReports vidcast in which she highlighted how her company is tackling some of the most pressing obstacles in the healthcare AI space: training AI models on sensitive medical data, addressing data silos, and ensuring diverse representation across regional healthcare datasets.

As businesses adapt to an increasingly fast-paced and complex environment, IT leaders are being called upon to play a more strategic role in driving transformation. At a recent virtual roundtable hosted by CIO Magazine and PwC, technology executives from finance, healthcare, manufacturing, retail, and other industries discussed how restructuring the relationship between business and IT can unlock greater value and enable continuous innovation.

Organizations must act now to prepare for the looming threats of quantum computing while leveraging generative AI to enhance cybersecurity and operational efficiency. This was the consensus among industry leaders during a CIO Magazine virtual roundtable co-hosted by Ben Corll of Zscaler. The discussion brought together executives from various sectors to examine the dual challenge of mitigating quantum risks while capitalizing on AI-driven opportunities.

In the field of neurology, AI holds immense potential to enhance diagnosis, identify triggers using digital biomarkers, and deliver tailored treatments for complex conditions like epilepsy and migraines.

Knowlepsy, a Marseille-based company is among the leaders leveraging AI and data-driven insights to address challenges in neurological care. In a recent BizTechReports vidcast interview, Knowlepsy’s CEO Firas Rhaiem and Chief Strategy Officer Ali-Frederic Ben-Amor discussed their company’s mission to enhance patient outcomes and optimize healthcare systems.