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How Cato Networks uses Amazon Bedrock to transform free text search into structured GraphQL queries

AWS Machine Learning - AI

Users can review different types of events such as security, connectivity, system, and management, each categorized by specific criteria like threat protection, LAN monitoring, and firmware updates. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

Network 111
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7 enterprise data strategy trends

CIO

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

Trends 218
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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning - AI

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In this chalk talk, learn how to select and use your preferred environment to perform end-to-end ML development steps, from preparing data to building, training, and deploying your ML models.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

For this purpose, we use Amazon Textract, a machine learning (ML) service for entity recognition and extraction. link] Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, & Erik Cambria. Data Scientist with 8+ years of experience in Data Science and Machine Learning. Clusmann, J., Kolbinger, F.R.,

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FINRA CIO Steve Randich pushes the public cloud forward

CIO

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Cloud 158
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What’s next for network firewalls?

CIO

Cyber disruptions are more devastating Today’s cyber threat landscape continues to accelerate, both in volume and sophistication, which is increasing the demand for high levels of automation as well as solutions that take advantage of artificial intelligence (AI) and machine learning (ML).

Firewall 148
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Accelerate 5G with AI-Powered Cybersecurity

Palo Alto Networks

It’s no secret that we’re experiencing a transformational moment in history, characterized by the convergence of artificial intelligence (AI), machine learning (ML) and cloud-native paradigms along with the emergence of 5G.