Anil Jaiswal

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Many organizations prove the value of the Internet of Things through pilot programs, only to hit unexpected obstacles when they try to scale those efforts across the business. While technical challenges often get the most attention, wider adoption can also be slowed by the people, processes and priorities that shape how connected systems are used every day.Scaling IoT isn’t just a matter of adding more devices or expanding infrastructure; it also requires a clear understanding of how the technology will fit into real-world operations. Below, members of Forbes Technology Council share the nontechnical factors organizations often underestimate when moving IoT beyond the pilot stage and why those factors can play such a big role in long-term success.

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As technology organizations grow, teams often become more specialized, with experts focused on areas such as cloud infrastructure, cybersecurity, data engineering and AI. That depth of expertise can improve technical execution, but it can also make it harder for teams to stay connected to business priorities, customer needs and colleagues in other parts of the organization.When specialized teams lose that broader context, even strong technical work can become disconnected from the outcomes it’s meant to support. Below, Forbes Technology Council members share ways leaders can help technology teams maintain deep expertise while staying aligned with the organization and its broader goals.

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Bank-fintech partnerships often begin with big ambitions, but many never move beyond the pilot stage or produce meaningful enterprisewide impact. A promising use case may open the door, but long-term success usually depends on whether both sides can navigate integration challenges, compliance demands and internal decision-making well enough to turn early momentum into lasting business value. Scaling these partnerships takes more than innovation alone. It requires the right mix of strategic alignment, operational readiness and accountability across the organizations involved. Here, members of Forbes Technology Council share how stakeholders can ensure bank-fintech partnerships grow beyond pilot programs and deliver measurable results.

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Trust in AI isn’t something you can retrofit after launch—it’s designed, tested, and proven long before users ever interact with a product. As AI systems become more embedded in critical decisions, leaders are under increasing pressure to ensure these technologies are not only powerful, but also transparent, reliable and aligned with user expectations from day one. That means moving beyond performance metrics alone and embedding trust into every stage of development—from data sourcing and model design to validation, governance and communication. To help product managers take deliberate steps early, I ask members of the Product Management Group, a community that I lead through Forbes Technology Council, how organizations can reduce risk, strengthen adoption, and build AI products that users are confident to rely on from the very first use.

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As AI takes over more routine data tasks, it’s easy to assume data professionals will have less input and impact. In reality, the opposite is true: As automation expands, the most valuable parts of data work are increasingly the ones that depend on human judgment, business context and accountability. Data work isn’t just about generating outputs faster; it’s about collecting the right information, ensuring results are trustworthy, and surfacing insights that support the organization’s overarching goals and mission. Below, members of Forbes Technology Council discuss how—and why—to apply uniquely human skills and traits in AI-dominated data management systems.

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Consumer fintech apps have made it easier than ever to send money, invest, borrow and track spending at any time, anywhere. But even small moments of friction can frustrate users and chip away at trust and loyalty. If a process feels slow, confusing or uncertain, users don’t just get annoyed; they start to question whether their money and personal data are really safe. Fixing these pain points doesn’t necessarily require reinventing an app; often, consumers are simply craving reliability and a smoother, clearer or less repetitive UX during onboarding and transaction workflows. Below, members of Forbes Technology Council discuss common fintech friction points as well as how to meaningfully improve the customer experience.