Time is always of the essence in the case of system administration and IT operations teams. They address the countless issues coming in from other departments: “My network is acting funky, and I’m about to go on a meeting with an important client,” “I accidentally deleted every important email I have ever received from the […]
The Data Governance Wake-Up Call From the OpenAI Breach
Shockwaves reverberated throughout the political and tech ecosystems this summer when OpenAI – the creator of ChatGPT – admitted it had been breached. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies. National security aside, the […]
The Secret to RAG Optimization: Expert Human Intervention
As the use of generative AI (GenAI) grows exponentially, developers have turned their attention to improving the technology. According to EMARKETER, nearly 117 million people in the U.S. are expected to use GenAI in 2025, a 1,400% increase over just 7.8 million users in 2022. More demand means more scrutiny and increased demand for higher-quality products, and […]
Generative AI vs. Traditional AI
Traditional AI, also known as “classical AI,” is known for being rule-based and dependent on stringent programming for its intended output. These techniques revolve around the manipulation of symbols and logical reasoning to perform tasks. Key methodologies include rule-based systems, where knowledge is encoded in the form of “if-then” statements, enabling machines to make decisions […]
3 Examples of LLM Use in Business Intelligence
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 […]