AI

The cybersecurity industry now has access to a new AI model called ChatGPT, which is open to the public for testing. Machine learning/artificial intelligence (ML/AI) for cybersecurity practitioners is relatively new, but with ChatGPT, cybersecurity professionals can see how it can be useful to their industry. Possibilities for ML/AI in Cybersecurity ML/AI can help amplify
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Manufacturing processes across various sectors such as healthcare, pharmaceuticals, food and beverage remain inefficient. This results in almost $8 trillion of waste per year due to below-par product design, lack of effective communication and human error. The impact of this waste is significant for the companies’ bottom line and the environment. Therefore, manufacturing companies are
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With the increasing complexity and remote nature of organizations, data management has become an enormous challenge at the enterprise level. The distributed teams, remote work, and multiple knowledge systems have made it difficult to track down data across the entire enterprise knowledge ecosystem. This knowledge access challenge results in a loss of productivity and employee
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Since the launch of ChatGPT in late 2022, AI has become a topic of great interest to businesses around the world. Investors are focusing on startups and businesses already using AI in their products and services. They are also considering the consequences and disruptions across industries and updating their approaches to avoid hazards and seize
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H2O AI, a California-based company, has launched two fully open-source products, H2OGPT and LLM Studio, to help enterprises with AI system development. The products provide an open, transparent ecosystem of tooling that enables companies to build their own instruction-following chatbot applications similar to ChatGPT. The Need for Open-Source Generative AI As more companies look to
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Healthcare is a complex industry with many challenges, but cloud-based infrastructure that is optimized for AI has emerged as a key foundation for innovation and operationalization. Combined with high-performance computing (HPC), cloud-based infrastructure can provide the elasticity, flexibility, and simplicity needed for healthcare organizations to manage workloads of any size. Silvain Beriault, AI strategy lead
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