Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial […]
Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management
I was privileged to deliver a workshop at Enterprise Data World (EDW) 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […]
RAG: The Future of Reliable and Accurate Generative AI
Generative artificial intelligence (AI) has made significant strides, with models like GPT-4 demonstrating human-like language generation capabilities. Conventional generative models often need help delivering precise and current information. Retrieval augmented generation (RAG) addresses these limitations by incorporating real-time data retrieval into the generative process. Recent studies show that RAG models have achieved up to a 30 […]
Ask a Data Ethicist: How Can We Set Realistic Expectations About AI?
One of the most important questions about using AI responsibly has very little to do with data, models, or anything technical. It has to do with the power of a captivating story about magical thinking. There’s a set of beliefs driven by over-exuberant AI hype – that AI is going to revolutionize everything! How can […]
From AI Hype to Adoption: What’s Holding AI Back in 2024?
When generative AI exploded onto the tech scene in 2022, companies scrambled to adopt the “Next Big Thing.” Now, everyone from the smallest startups to the biggest banks and retailers wants to reap the benefits it has to offer. GenAI promised a workforce revolution – let the computer take care of your busywork so you […]
The Overlooked Powerhouse: Leveraging Machine Learning Over Generative AI
Generative AI (GenAI) is dominating headlines, celebrated as a groundbreaking technology with vast potential. Beyond the initial (and warranted) excitement, however, a more balanced perspective reveals the substantial – often overlooked – value of another AI technology: traditional machine learning (ML). While generative AI garners attention for its creative capabilities, machine learning remains an unsung hero, utilizing […]
From Complexity to Clarity: GenAI Decodes Clinical Trial Data
As AI matures and becomes more integrated into clinical trial operations, generative AI (GenAI) technology is ushering in a new era for clinical research and drug development, redefining the clinical trial landscape and offering a quantum leap in efficiency and precision. This innovative technology streamlines every phase, transforming traditionally time-consuming processes into swift, automated workflows. […]
RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment
A large language model (LLM) is a type of artificial intelligence (AI) solution that can recognize and generate new content or text from existing content. It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At their core, LLMs are trained on large amounts of content and data, and the architecture […]
Proceed with Caution: Generative AI in Identity
OpenAI launched generative AI (GenAI) into the mainstream last year, and we haven’t stopped talking about it since – and for good reason. When done right, its benefits are indisputable, saving businesses time, money, and resources. Industries from customer service to technology are experiencing the shift. In fact, a recent study showed a significant increase in GenAI […]
Streamlining Your Data Needs for Generative AI
Companies are investing heavily in AI projects as they see huge potential in generative AI. Consultancies have predicted opportunities to reduce costs and improve revenues through deploying generative AI – for example, McKinsey predicts that generative AI could add $2.6 to $4.4 trillion to global productivity. Yet at the same time, AI and analytics projects have historically […]