Artificial Intelligence

Top 5 areas in the data pipeline with the least responsiveness

   ​   Data pipelines are critical for organizations handling vast amounts of data, yet many practitioners report challenges with responsiveness, especially in data analysis and storage. Our latest generative AI report revealed that various elements within the pipeline significantly affect performance and usability. We wanted to investigate what could be affecting the responsiveness of the …

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The rise of the Chief AI Officer: Is your organization ready?

   ​  [[{“value”:” Imagine this: It’s 2025. The CEO of a mid-sized tech company, overwhelmed by the rapid changes in AI, realizes the company is missing out. Despite having the latest tools and software, there’s still a gap—a missing strategic vision to make it all work seamlessly. That’s when they decide to hire a Chief AI …

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Impact and innovation of AI in energy use with James Chalmers

   ​  [[{“value”:” In the very first episode of our monhtly Explainable AI podcas, hosts Paul Anthony Claxton and Rohan Hall sat down with James Chalmers, Chief Revenue Officer of Novo Power, to discuss one of the most pressing issues in AI today: energy consumption and its environmental impact. Together, they explored how AI’s rapid expansion …

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Balancing innovation and safety in AI with Karanveer Anand

   ​   In the latest episode of The Generative AI Podcast, host Arsenii Shatokhin sat down with Karanveer Anand, a Technical Program Manager at Google, to explore how AI is reshaping the field of program management. They dove into everything from the role of AI in cloud computing to the evolving balance between AI innovation …

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AI and mobile analytics: Lessons from integrating AI in SaaS

   ​  As businesses seek to leverage AI to enhance their offerings and streamline operations, the ability to effectively implement AI solutions is critical to achieving sustained success.   As businesses seek to leverage AI to enhance their offerings and streamline operations, the ability to effectively implement AI solutions is critical to achieving sustained success.  

End GPU underutilization: Achieve peak efficiency

   ​  [[{“value”:” AI and deep learning inference demand powerful AI accelerators, but are you truly maximizing yours? GPUs often operate at a mere 30-40% utilization, squandering valuable silicon, budget, and energy. In this live session, NeuReality’s Field CTO, Iddo Kadim, tackles the critical challenge of maximizing AI accelerator capability. Whether you build, borrow, or buy …

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Crafting ethical AI: Addressing bias and challenges

   ​  [[{“value”:” Did you know that 27.1% of AI practitioners and 32.5% of AI tools’ end users don’t specifically address artificial intelligence’s biases and challenges? The technology is helping to improve industries like healthcare, where diagnoses can be improved through rapidly evolving technology.  However, this raises ethical concerns about the potential for AI systems to …

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Your guide to LLMOps

   ​  [[{“value”:” Navigating the field of large language model operations (LLMOps) is more important than ever as businesses and technology sectors intensify utilizing these advanced tools.  LLMOps is a niche technical domain and a fundamental aspect of modern artificial intelligence frameworks, influencing everything from model design to deployment.  Whether you’re a seasoned data scientist, a …

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