Strategies

algorithms assume you’re working with completely unlabeled data. But in the event you’ve actually worked on these problems, the fact is commonly different. In practice, anomaly detection tasks often include at the very...

In regards to the speakers Kevin Bolen, Principal, Advisory - Head of AI Transformation, Strategic Planning Investments, KPMG Kevin Bolen is a Principal in KPMG’s US...

By 2030, the autonomous vehicle market is predicted to surpass $2.2 trillion, with thousands and thousands of cars navigating roads using AI  and advanced sensor systems. Yet amid this rapid growth, a fundamental debate...

As firms increasingly migrate workloads to the cloud, managing associated costs has change into a critical factor. Research indicates that roughly one-third of public cloud spending produces no useful work, with Gartner estimating this...

Worker burnout in retail contact centers is not only a personnel issue—it is a notable business challenge threatening to eat away at productivity, morale, and profits. Retailers are increasingly turning to AI, specifically conversational...

Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall wanting user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the method,...

Why Customize LLMs? Large Language Models (Llms) are deep learning models pre-trained based on self-supervised learning, requiring an enormous amount of resources on training data, training time and holding numerous parameters. LLM have revolutionized natural...

Seoul Mayor Oh Se -hoon announced seven strategies, including the event of talented people and the creation of Seoul AI Tech City to turn into the three largest artificial power. Mayor Oh announced the...