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 […]
MIT-Built Generative AI Company Ikigai Labs Announces New AI Ethics Council
According to a new press release, Ikigai Labs, a company specializing in generative AI for tabular data, has established a new AI Ethics Council composed of esteemed experts and thought leaders from prominent academic institutions in the United States. This council aims to address crucial ethical and security concerns surrounding the development and implementation of […]
Ask a Data Ethicist: What Data Is OK to Use to Prompt ChatGPT?
Millions of people are using ChatGPT on a regular basis to assist them in both personal and professional capacities. This month’s question centers on the data used to prompt ChatGPT. Our reader, who shared that they are an ESL speaker, would like to know if it’s ethical to have ChatGPT create summaries of information (specifically, […]
Cloudera Introduces Next Phase of Open Data Lakehouse on Private Cloud
According to a new press release, Cloudera, a data company specializing in trusted enterprise AI, has unveiled the next phase of its open data lakehouse on private cloud, aiming to revolutionize on-premises data experiences for scalable analytics and AI. With recent enhancements, Cloudera has become the sole provider offering an open data lakehouse with Apache Iceberg […]
A Brief History of Generative AI
Generative AI has a fairly short history, with the technology being initially introduced during the 1960s, in the form of chatbots. It is a form of artificial intelligence that can currently produce high-quality text, images, videos, audio, and synthetic data in seconds. However, it wasn’t until 2014, when the concept of the generative adversarial network […]
How GenAI Bridges the Data Gap Between CMOs and CFOs
Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting […]