Everyone Wants AI, but Data Orchestration Comes First 

Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What

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Smart Wearables Challenges

Inside the Engineering Stack – Why Building Smart, Secure Wearables Remains a Hard Engineering Problem

This article explains the technical realities of building AI-ready wearable devices by orchestrating three constraints – power, latency, and trust – through edge/on-device AI, disciplined power budgeting, and secure-by-design updates. It clarifies why many wearables PoCs stall and offers an in-depth investigation into challenges hindering product advancement, finally scanning predictions and emerging trends in the wearables market.

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Everyone Wants AI, but Data Orchestration Comes First 

Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What

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how much is it to build a fintech application
fintech

Factors Influencing Fintech Software Development Costs

Exploring the complex aspects that significantly impact the cost of building fintech software, including project complexity and scope, tech stack, regulatory compliance, in-house development versus outsourcing, and more.

retail tech trends 2023
events

Key Takeaways from ReTech&Digital 2023

From AI-based solutions for macro- and micro-space planning to retail robots to personalized customer engagement and beyond – check out 7 key takeaways from Retech&Digital 2023.