In the evolving enterprise technology landscape, the convergence of generative AI and Zero Trust principles presents a unique set of both challenges and opportunities. To shed light on these dynamics, we had the privilege of speaking with Ben Corll, CISO in residence for Zscaler, who offered his expert perspective in the wake of a CIO.com virtual roundtable with senior technology decision-makers on how organizations can reconcile the seemingly conflicting demands of AI and cybersecurity.

Last month, CIO.com hosted a virtual roundtable featuring top technology executives from industries including insurance, healthcare, banking, real estate, and manufacturing. The event, supported by experts from IBM, centered around the evolving role of mainframe platforms in supporting AI-enabled enterprises, particularly in the context of modernization and business transformation. As artificial intelligence (AI), and more specifically generative AI (GenAI), continues to reshape industries, enterprises are revisiting their mainframe systems to better align with this new wave of technological innovation.

Despite prevailing conventional wisdom in the enterprise technology community, businesses can drive innovation without being overwhelmed by the complexities of legacy system modernization, according to Tiago Azevedo, CIO of OutSystems, a leader in low-code and no-code (LCNC) technology. These LCNC platforms –  when combined with generative AI (GenAI) – can allow organizations to innovate rapidly and deliver immediate business value without the need for extensive legacy overhauls.

With the threat of an impending recession, small and medium-sized businesses (SMBs) should take a hard look at employee management automation (EMA) to enhance efficiency, cut costs, and boost employee morale.

While leaders at small and medium organizations (SMOs) may not match their larger counterparts in terms of scale and budget for technology investments, modernization, automation and business transformation are increasingly recognized as the keys to remaining competitive and meeting the evolving expectations of customers and other stakeholders. The good news is that new developments in technology and the emergence of new services have democratized SMO access to a growing array of business process automation capabilities.

45% of CFOs plan to invest in AI for growth, but 89% doubt successful implementation. Economic uncertainty is a major concern for CFOs, with 90% worried about hitting growth and revenue targets. High-interest rates, rising energy prices, and supply chain disruptions are seen as major external threats. Additionally, 39% of CFOs struggle to keep up with AI advancements.

Companies struggling to bridge the white-collar talent gap in major metropolitan areas would be well advised to understand the role of flexible work arrangements in attracting and retaining women -- an increasingly important pool of labor in an otherwise constrained environment. So says Gwenn Rosener, CEO of FlexProfessionals, a recruiting and staffing agency for professionals that serves the Washington DC and Boston metropolitan areas, in a podcast interview for journalists.