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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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Prescriptive AI: The Smart Decision-Maker for Healthcare, Logistics, and Beyond

Unite.AI

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. With the vast amount of data available, many industries face the critical challenge of acting on real-time insights. This is where prescriptive AI steps in.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments. But firms need complete audit trails and monitoring systems.

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7 Techniques to Enhance Graph Data Ingestion with Python in ArangoDB

Towards AI

Author(s): Saloni Gupta Originally published on Towards AI. ArangoDB offers the same functionality as Neo4j with more than competitive… arangodb.com In the course of this project, I set up a local instance of ArangoDB using docker, and employed the ArangoDB Python Driver, python-arango, to develop data ingestion scripts.

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Han Heloir, MongoDB: The role of scalable databases in AI-powered apps

AI News

As data management grows more complex and modern applications extend the capabilities of traditional approaches, AI is revolutionising application scaling. Han Heloir, EMEA gen AI senior solutions architect, MongoDB. They are also unprepared to manage the variety of data being generated.

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Secure a generative AI assistant with OWASP Top 10 mitigation

Flipboard

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.