Maksym Mashnytskyi

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Traditional IT dashboards capture critical operational indicators, from system uptime and network performance to incident response times. But as technology becomes more deeply embedded across the business, CIOs and CTOs need a wider view of how systems, tools and digital investments are affecting people, processes and outcomes.Metrics outside the usual IT scorecard can reveal friction, risk, adoption gaps or business impact that technical indicators alone may miss. Below, members of Forbes Technology Council share the nontraditional metrics they believe technology leaders should watch more closely and explain why these numbers can offer a clearer picture of technology’s real value.

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As organizations expand their use of cloud services, many are discovering that operating across multiple providers can quickly get complicated. While multicloud strategies can improve flexibility and resilience, they can also create friction around performance, cost management and interoperability. One proposed answer is “Sky Computing,” a model introduced by researchers at UC Berkeley that would let applications work more seamlessly across multiple cloud providers. Below, members of Forbes Technology Council discuss one real-world enterprise problem this kind of approach could realistically help solve today.

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Modern organizations are generating more data than ever at the network’s edge, from connected devices and industrial equipment to retail systems and remote sites. As that volume grows, relying solely on centralized cloud infrastructure can create latency, bandwidth bottlenecks and reliability concerns, especially in environments where split-second decisions matter.  Moving compute closer to the source is no longer just an efficiency play; it’s a practical response to real operational challenges. To better understand how this shift is playing out in the field, members of Forbes Technology Council share examples of edge computing deployments that addressed important IT issues and the results they achieved.

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Artificial intelligence is helping companies move faster, see patterns earlier and make decisions with more confidence. Yet even as data teams sharpen their AI tools, many organizations struggle to extend those benefits to the broader workforce.  The challenge isn’t just technical—it’s cultural, operational and often tied to how well teams understand the real problems AI can help solve. Below, members of Forbes Technology Council detail practical strategies for demystifying AI, building trust and empowering nontechnical teams to use AI in meaningful, business-driven ways.

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Daily headlines highlight the many ways companies across industries are leveraging artificial intelligence—the "brain" behind modern technology tools. Now, innovators are exploring new ways to combine AI’s learning, analytical and decision-making capabilities with robotics, effectively adding a "body" that can execute next steps and perform physical tasks, both autonomously and with human oversight. Together, AI and robotics can streamline tasks, boost productivity and enable businesses across industries to develop new products and services to better serve the public. Below, members of Forbes Technology Council detail some of the intriguing and even surprising ways combining AI and robotics could lead to smarter processes, safer workplaces and enhanced experiences for professionals and consumers alike.

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Many technology companies conduct business in multiple countries, which makes it essential to stay on top of a range of variable global tech regulations. This task becomes even more challenging in the face of rapid technology shifts that require fast and evolving responses from regulatory agencies. Below, members of Forbes Technology Council offer their expert insights and personal strategies to help fellow industry leaders stay informed about ever-changing global tech regulations. Follow their advice to stay on top of legal shifts and remain compliant.