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 […]
Databricks Launches Open-Source Large Language Model DBRX
According to a new press release, Databricks has unveiled DBRX, a groundbreaking large language model (LLM), marking a significant stride in democratizing data and AI. DBRX stands out by surpassing established open-source models on various industry benchmarks, offering organizations worldwide an efficient means to construct and deploy custom LLMs. Unlike relying on closed models, DBRX […]
How Artificial Intelligence Will First Find Its Way Into Mental Health
Artificial intelligence (AI) startup Woebot Health made the news recently for some of its disastrously flawed artificial bot responses to text messages that were sent to it mimicking a mental health crisis. Woebot, which raised $90 million in a Series B round, responded that it is not intended for use during crises. Company leadership woefully […]
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 […]
The Best Methodology for Moving AI Data and Keeping It Safe
Artificial intelligence (AI) has the power to change the global economy and potentially, one day, every aspect of our lives. There are numerous possible uses for the technology across industries, and new AI projects and applications are frequently released to the public. The only restriction on AI’s use appears to be the inventiveness of human beings. AI […]
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 […]
Generative AI Challenges and Opportunities for Modern Enterprises
Generative AI (GenAI), machine learning (ML), and large language models (LLMs) are all becoming increasingly important to modern enterprises, but achieving measurable value from AI is still a challenge. Part of the issue is that a well-trained AI model relies on a large amount of data, and for many companies, organizing and making use of […]
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 […]