Since its inception, artificial intelligence has progressed greatly, going from rule-based systems to complex deep-learning models. Large Language Models (LLMs) have helped artificial intelligence to…
Actionable AI
The need for highly sophisticated natural language processing is booming, and the arrival of large language models (LLMs) marks a major turning point in this…
LLM Comparison
Supply chain disruptions cost businesses an estimated $1.6 trillion annually, with 80% of companies acknowledging their current strategies are ineffective, according to McKinsey. The solution?…
AI in Supplier Management
Did you know that only 24% of generative AI initiatives have security components?  That’s right! A recent study by IBM reveals that most organizations tend…
AI Model Security
AI in demand forecasting has changed how companies forecast possible shortages, inventory needs, and market trends. Because of fast-changing customer behaviour, worldwide supply chain interruptions,…
AI in Demand Forecasting
By 2030, the worldwide electric vehicle (EV) market is anticipated to reach 145 million vehicles, a substantial increase from only 10 million in 2020. Although…
AI in Smart Energy Management
In today’s fast-changing marketing world, knowing your customers is more important than ever. Traditional ways of grouping customers, though useful, often miss the details of…
Machine Learning for Customer Segmentation
Natural language processing (NLP) is a non-negotiable part of an efficient and personalized customer service experience.  Gone are the days when people used to refer…
NLP in Customer Service
Generative artificial intelligence (genAI) is a big step forward in technology. It allows machines to create new and creative content on their own. This type…
As more and more Generative AI  tools become available, businesses are finding it harder to pick the right Generative AI models for their specific needs.…
Generative AI Models