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Graph Databases: Benefits and Best Practices

Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments […]

Getting Ahead of Shadow Generative AI

Like any new technology, a lot of people are keen to use generative AI to help them in their jobs. Accenture research found that 89% of businesses think that using generative AI to make services feel more human will open up more opportunities for them. This will force change – Accenture also found that 86% […]

The Drive Toward the Autonomous Enterprise Is a Key Focus for IT Leaders in 2024

According to Gartner, 80% of executives see automation as a vital thread that supports informed business decisions. And they’re right. In today’s business landscape, automation has transcended a mere “nice-to-have” and become a fundamental driver of organizational success. It’s not just transforming tasks but reshaping businesses from the inside out. Enhanced resilience, richer customer experiences, and a sharper […]

DataStax Introduces RAG Solution Using NVIDIA Microservices and Astra DB

According to a new press release, DataStax, a leading data company focusing on generative AI applications, has announced its support for enterprise retrieval-augmented generation (RAG) use cases by integrating NVIDIA’s NIM inference microservices and NeMo Retriever microservices with Astra DB. This integration aims to deliver high-performance RAG data solutions, enhancing customer experiences by enabling users […]

The AI Trust Gap: A Psychological Perspective

Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. In my last post I looked at what can be done from a cultural perspective. In this […]

The Rise of Generative AI in Insurance

The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement. Despite widespread integration of AI in the industry today, its full […]