Retrieval augmented generation (RAG) is revolutionizing AI by infusing language models with timely and relevant external data. This technique is pivotal in delivering not just intelligent but informed AI responses. In this podcast, Chris and I explain what RAG is, how it functions, its impact on AI’s performance, and the challenges it helps overcome. Key …
by Scott King 
2024 AI Predictions What does the internet say about AI? What do the AI pundits think will happen? We were curious, too. In our quest to understand what was being predicted for AI in 2024, we reviewed a set of diverse sources to analyze and merge a myriad of predictions to provide a consolidated overview. …
by Scott King 
Most third-party risk lifecycles adhere to a similar pattern: planning, due diligence, contract negotiations, ongoing monitoring, and termination. However, the management and responsibility of these processes differ significantly across organizations. Traditionally, the information security department carried this burden, but recent events like Covid, regional wars, political changes, and socially-focused laws have broadened organizations’ risk perception …
by Scott King 
Embracing technological change via automation and artificial intelligence (AI) is no longer optional; it’s a necessity. Delaying AI use in your company can hinder progress and put you farther behind your competitors. However, embracing AI adoption is not without its apprehensions. Your concerns about unknown outcomes and hallucinations are valid but are easily overcome with …
by Scott King 
Generative AI is Accelerating Everything Generative AI (GenAI) is influencing nearly all processes in our businesses and none so much as knowledge management systems. Employees want a better experience and they have found it by already experimenting with GenAI; ask a question, and get an answer. But, the answers and the knowledge delivered to them …
by Scott King 
Generative AI vs Predictors and Categorizers Generative AI is hot and has ignited our imaginations. However, it’s important to highlight that there are other AI capabilities, like predictors and categorizers, that can produce significantly more value, particularly in enterprise settings. But, these capabilities aren’t new; they have been around for quite some time and have …
by Scott King 
The Pressing Demand for Generative AI in Enterprise Generative AI (GenAI) is promising unparalleled advancements and efficiencies for many types of use cases. Boards and CEOs continue to experiment with the technology and imagine how it can improve workforces and increase throughput. The Wall Street Journal highlights how CEOs are pressuring CIOs and technology leaders …
by Scott King 
Is an AI Engineer Worth the Investment? In an era where Artificial Intelligence (AI) is transforming business processes, companies face a significant dilemma: whether to hire expensive AI specialists or pivot towards more cost-effective and scalable options. With industry giants like Netflix offering compensation packages as high as $900,000 for AI Product Managers, the perceived …
by Scott King 
Different LLMs have varying strengths and weaknesses. Understanding the strengths and weaknesses of different language models is crucial, as it allows you to select the most efficient tool for your specific needs. When you evaluate and test various LLMs, you are essentially comparing their ability to answer different types of questions, their performance, and their …
by Scott King 
The Prompt Engineer Do you need a prompt engineer? Can you train your people to generate prompts? Can this be automated? Well, it depends. LLMs, like BARD, OpenAI GPT-3.5 and 4, Llama, or Flan, require a diligent and persistent approach to testing and refining prompts. Their variable performance for different use cases reveals the critical …
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