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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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5 hot IT budget investments — and 2 going cold

CIO

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Besides surgery, the hospital is also investing in robotics for the transportation and delivery of medications.

Budget 363
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Think you can ignore quantum computing? Think again.

CIO

Given the scalability of PQC, we expect it to feature in our future cryptography landscape, considering our presence in 62 markets around the world.” Because quantum computers can’t handle large amounts of data yet, a supercomputer can hold the data and perform some of the operations,” he says.