When Dubai launched its State of AI Report in April 2025, it revealed over 100 high-impact AI use cases, showcasing the emirate’s technological prowess and making a calculated bet that speed, not spending, would determine which cities win the global race for AI-powered governance. In an exclusive interview, Matar Al Hemeiri, Chief Executive of Digital
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As a global leader in connected LED lighting products, systems, and services, Signify faces a unique challenge: providing accurate and efficient answers to its customers’ complex technical questions. With thousands of product models and complex component parameters, the company’s knowledge management system had become a bottleneck in delivering top-notch customer service. Signify knew it needed
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When it comes to developing artificial intelligence systems, many teams are overlooking a crucial playbook: networking. Network infrastructure has been solving distributed computing problems for years, and the lessons learned can be applied directly to AI development. One area where networks have an edge is in distribution. Think about load balancers, which act as traffic
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Digital experimentation has reached an inflection point, with 89% of companies conducting A/B tests but only 31% achieving statistically significant results. The convergence of artificial intelligence and network transparency promises to transform this landscape fundamentally. Modern testing frameworks no longer depend on binary comparisons and manual analysis. AI is playing a bigger role in testing
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OpenAI’s recent announcement has sparked a heated debate about the future of ChatGPT. Starting in December, verified adult users will be able to access mature content, including erotica and romance stories. This marks a significant shift for the platform, which has long been associated with family-friendly conversations. What’s Changing with Adult Content Policy? The new
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A new open-source standard is being released to protect the sensitive data used by large language models in AI systems. Confident Security, a company founded by former Databricks and Apple engineers, has created OpenPCC. This innovative solution enables companies to use large language models without exposing confidential or personal information. The surge in AI adoption
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The digital marketing world just got a jolt of fresh energy with the launch of Profit Parrot Marketing’s new suite of AI-powered SEO services. Designed to help businesses stay ahead in 2025, this innovative system blends automation, analytics, and machine learning to transform how companies build online visibility. The team behind Profit Parrot claims their
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Boards of directors are eager to harness the power of large-language models and AI assistants to boost productivity, but this desire is clouded by a more pressing concern: the growing attack surface. The same features that make AI so useful – such as browsing live websites, remembering user context, and connecting to business apps –
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Enterprise leaders have long grappled with the steep costs of deploying AI models, but a new architecture design may finally provide a solution. The capabilities of generative AI are undoubtedly attractive, but their immense computational demands for both training and inference have resulted in prohibitive expenses and mounting environmental concerns. A Fundamental Bottleneck The root
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As autonomous AI agents continue to transform the economy, one thing is clear: they’re poised to reshape the way we shop, do business, and interact with each other online. By automating tasks like discovery, negotiation, and transactions, these agents can overcome inefficiencies and create faster, more transparent, and competitive markets. The Rise of Agentic Markets
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