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The convergence of HPC and AI: Driving innovation at speed  

IBM Big Data Hub

Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. We believe that the convergence of both HPC and artificial intelligence (AI) is key for enterprises to remain competitive.

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How Criminals Are Using Generative AI

Schneier on Security

Compared to last year, criminals seem to have abandoned any attempt at training real criminal large language models (LLMs). We are finally seeing the emergence of actual criminal deepfake services, with some bypassing user verification used in financial services. Instead, they are jailbreaking existing ones.

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5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Big Data Hub

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

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MY TAKE: Why companies and consumers must collaborate to stop the plundering of IoT systems

The Last Watchdog

IoT devices help remotely control our household appliances, power plants, smart buildings, factories, airports, shipyards, trucks, trains and military. The challenge of the moment is that many companies already have their hands full trying to improve their security posture as they migrate their legacy, on premises, IT systems to the cloud.

IoT 279
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2024 Tech and Cybersecurity Forecast: Navigating New Frontiers in Business

Thales Cloud Protection & Licensing

Taking AI to the Edge In 2024, the trend in artificial intelligence is shifting toward deploying AI at the network edge, particularly for enterprise applications. This development model enables enterprises to conduct model training and processing directly at the edge or on-premises. Gartner has recognized this shift.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. DL models can improve over time through further training and exposure to more data. Clean data is fundamental for training your AI. AI training is a continuous process.

Analytics 105
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Turning climate risks into business opportunities 

IBM Big Data Hub

In some business sectors, such as financial services, fast-moving consumer goods and healthcare, business interruptions can have a significant detrimental impact on daily life. Artificial intelligence (AI) can play an important role in many solutions for tackling climate risk.

Risk 67