In today’s Tech Pulse, gain insight into how:

• 79% of leaders expect GenAI to create competitive advantages, but 60% lack data readiness—learn how to close the gap for AI success.

• Retail's outdated 2D data systems are slowing down physical AI adoption—discover why spatially accurate 3D models are the future of smart retail operations.

• E-invoicing mandates in over 80 countries are reshaping compliance—find out how to avoid costly fines by addressing critical data gaps now.

Each of these articles is penned by members of Forbes Technology Council, key luminaries shaping the future of technology leadership.

Grab your coffee, and let's dive in!

 Is Your Business Data GenAI-Ready? Most Leaders Aren’t So Sure

A recent survey of over 170 global business leaders revealed a surprising disconnect: while 79% expect GenAI to drive competitive advantage by 2026, 60% lack confidence in their organization’s data readiness. The problem? Unstructured, unorganized data is holding GenAI back—leading many projects to stall or fail entirely.

Organizations must first tackle their data challenges to unlock GenAI’s potential. Here’s how to close the gap:

🗂 Invest in Robust Data Management: Structure, label, and govern your data to make it AI-ready. Use internal teams or trusted partners for efficient implementation.

📚 Build AI & Data Literacy: Ensure teams can evaluate AI outputs and align projects with business goals. A well-informed culture fosters adoption and maximizes outcomes.

🎯 Define Focused Use Cases: Target goals like improving operations, compliance, or customer experience. Avoid deploying AI without defined business objectives.

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Why Legacy Data Is Holding Back Retail’s AI-Driven Future

Retail’s next revolution is here: physical AI—intelligent systems that interact with the physical world. Applications like autonomous restocking and robotic fulfillment are becoming mainstream, but many retailers face a critical roadblock: outdated, 2D data systems simply can’t meet the spatial demands of this technology.

Physical AI thrives on precise, 3D data to optimize processes and improve decision-making. Here’s how leaders can prepare:

📏 Audit & Upgrade Legacy Systems: Identify gaps in spatial data like dimensions, layouts, and metadata.

🛒 Adopt Dynamic Digital Twins: Leverage high-fidelity, 3D models of products and retail spaces for AI-powered systems.

🤖 Design for Machine-Readability: Ensure infrastructure supports both human and AI interaction seamlessly.

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Why Your Business's Data Gap Could Lead to Major Financial Risk

A tax authority issues a bill for what you owe, but your systems can't verify the amount due to data gaps across your organization. Paying without confirmation risks overpayment, and delaying leads to fines or worse.

This isn’t a hypothetical—it’s a global reality as governments adopt real-time e-invoicing mandates. With over 80 countries adopting these requirements, businesses must modernize or face significant financial exposure.

Here's a game plan to get ahead:

⚙️ Proactively Prepare: Address compliance well before mandates are enforced.

🔗 Avoid Siloed Point Solutions: Ensure seamless communication across systems to support reconciliation.

📊 Standardize Your Tech Stack: Reducing complexity prevents data errors and boosts scalability.

🪞 Mirror Regulatory Reporting: Match government insights to confidently defend or verify claims.

📈 Elevate Compliance as a Business Priority: Secure executive buy-in to treat compliance as a strategic, board-level issue.

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Wrapping Up

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