Shelf Blog
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
The generative AI (GenAI) market for financial services is expected to grow by 28% over the next decade. This means that we will soon be able to say farewell to the traditional cumbersome processes that once defined the financial sector – manual data entry, lengthy decision-making for loan...
The AI Weekly Breakthrough | Issue 9 | May 8, 2024 Welcome to The AI Weekly Breakthrough, a roundup of the news, technologies, and companies changing the way we work and live Gemini’s Medical Fellowship Training Two weeks ago, we explored the ability of LLMs in taking medical board exams across...
Artificial intelligence (AI) is a transformative force that’s reshaping industries, processes, and even the very fabric of how decisions are made. As AI systems become more integral to organizational operations, it is essential that we understand the foundational elements that ensure these systems...
In the banking sector, every percentage point in efficiency can translate to billions in revenue. According to McKinsey, GenAI could potentially add $340 billion in revenue to the sector’s annual global revenues. This represents a 4.7% increase in total industry revenues – a surge comparable...
AI has revolutionized how we operate and make decisions. Its ability to analyze vast amounts of data and automate complex processes is fundamentally changing countless industries. However, the effectiveness of AI is deeply intertwined with the quality of data it processes. Poor data quality can...
The adage “Garbage In, Garbage Out” (GIGO) holds a pivotal truth throughout all of computer science, but especially for data analytics and artificial intelligence. This principle underscores the fundamental idea that the quality of the output is linked to the quality of the input. As...
The AI Weekly Breakthrough | Issue 8 | May 1, 2024 Welcome to The AI Weekly Breakthrough, a roundup of the news, technologies, and companies changing the way we work and live Even LLMs Get the Blues Findings from a new study using the LongICLBench benchmark indicate that LLMs may “get the...
Poor data quality is the largest hurdle for companies who embark on generative AI projects. If your LLMs don’t have access to the right information, they can’t possibly provide good responses to your users and customers. In the previous articles in this series, we spoke about data enrichment,...
While Retrieval-Augmented Generation (RAG) significantly enhances the capabilities of large language models (LLMs) by pulling from vast sources of external data, they are not immune to the pitfalls of inaccurate or outdated information. In fact, according to recent industry analyses, one of the...
The AI Weekly Breakthrough | Issue 7 | April 23, 2024 Welcome to The AI Weekly Breakthrough, a roundup of the news, technologies, and companies changing the way we work and live Mona Lisa Rapping: Microsoft’s VASA-1 Animates Art Researchers at Microsoft have developed VASA-1, an AI that...
It’s estimated that $1 trillion in healthcare spending is wasted each year in the U.S. By automating routine tasks and making more use of clinical data, GenAI is a new opportunity to optimize healthcare expenditures and unlock part of the money lost to inefficiencies. It could organize...
Large language models are skilled at generating human-like content, but they’re only as valuable as the data they pull from. If your knowledge source contains duplicate, inaccurate, irrelevant, or biased information, the LLM will never behave optimally. In fact, poor data quality is so inhibiting...