Artificial Intelligence

EdTech meets edge AI: Scalable, privacy-first ecosystems

   ​   Numbers that speak louder Think about the modern classroom. Each pupil receives a unique lesson plan courtesy of generative AI. Every single plan is flawlessly customized and catered for – even in remote schools with unstable internet. Now consider this projection from MarketResearch: the generative AI in the EdTech sector is anticipated to …

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LLMOps in action: Streamlining the path from prototype to production

   ​   AIAInow is your chance to stream exclusive talks and presentations from our previous events, hosted by AI experts and industry leaders. It’s a unique opportunity to watch the most sought-after AI content – ordinarily reserved for AIAI Pro members. Each stream delves deep into a key AI topic, industry trend, or case study. …

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GenAI creation: Building for cross-platform wearable AI and mobile experiences

   ​   Yiqi Zhao, Product Design Lead, Meta Reality Labs at Meta gave this talk at the Generative AI Summit in Washington DC, 2025. I’m Yiqi, the design lead for Meta Reality Labs, the organization that makes many AR/VR glasses, like the Ray-Ban and the Meta Quest series. Today, I bring a video along with …

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Virtual leaders roundtable: Accelerate IT maturity in 2025 with AI

   ​  [[{“value”:” Discuss challenges with the ITSM landscape, real steps to get started with AI-powered solutions, and how it helps with transforming IT. We invite you to join an exclusive, interactive virtual roundtable with industry peers, thought leaders, and our partners Freshworks. This is a by-invitation-only event designed for senior IT leaders (minimum Director level) …

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AWS bets big on agentic artificial intelligence

   ​   Unlike traditional AI systems, agentic AI is defined by its ability to perform tasks autonomously without user prompts. Amazon Web Services (AWS) invested in a dedicated agentic AI group; AWS’s Bedrock platform now features “agents” that allow customers to integrate generative AI models into their operations. This allows these systems to autonomously access …

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AI-powered incident management: Risk analysis and remediation

   ​  [[{“value”:” Unlock smarter, faster, and more scalable incident management. IT teams are under increasing pressure to detect, investigate, and resolve incidents faster than ever. But with siloed data, manual processes, and escalating complexity, teams struggle to keep up, leading to slow resolutions, poor customer experiences, and costly downtime. Join us and BigPanda where we’ll …

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China’s AI agent Manus: The next step in autonomous AI

   ​  [[{“value”:” China’s recently unveiled AI agent, Manus, represents a significant leap forward. Introduced by the Chinese startup Monica, Manus is described as a fully autonomous AI agent capable of handling a wide range of tasks with minimal human intervention.  Since its launch on March 6, 2025, Manus has attracted considerable global attention, sparking discussions …

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Words as Weapons: Defending GenAI Apps Against Prompt Injection

   ​   As enterprises race to integrate generative AI into their applications and workflows, adversaries are finding new ways to exploit language models through prompt injection attacks to leak sensitive data and bypass security controls. But how do these attacks actually work, and what can organizations do to defend their GenAI applications against them? Join …

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Next gen AI architectures: Exploring the next wave of intelligent computing

   ​   As a result of artificial intelligence’s continuous evolution, there’s an increasing and ever present demand for more efficient, faster and scalable AI solutions. Traditional AI models, especially deep learning approaches, always require exhaustive computational resources which can make them massively expensive and power-hungry.  In light of these challenges, there are many next-generation AI …

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The failure of AI models in EnigmaEval benchmark: Limitation of AI agents in automation

   ​   Large Language Models (LLMs) have demonstrated extraordinary performance in various benchmarks, ranging from complex mathematical problem-solving to nuanced language comprehension. However, these same models fail almost completely on EnigmaEval—a test suite specifically designed to measure spatial reasoning and puzzle-solving skills. This glaring gap in AI competency not only highlights the current shortcomings of …

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