AI Chatbots AI Modeling Data Platform 
IBM Journey to AI blog
JUNE 19, 2024
According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.
IBM Journey to AI blog
SEPTEMBER 6, 2023
For ESPN, it means using AI to help fantasy team managers make better decisions and field the best possible team, week after week. But it was made considerably easier this year by IBM’s new AI and data platform, watsonx. The ESPN partnership, on the other hand, has always been about AI-powered decision making.
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IBM Journey to AI blog
FEBRUARY 13, 2024
The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Imagine training a generative AI model on a dataset of only romance novels.
IBM Journey to AI blog
DECEMBER 4, 2023
Myth 1: My company lacks the right tools and platforms to develop trustworthy AI AI can be a game-changer for businesses looking to improve operations in areas such as IT, HR, marketing and customer service. The companies innovating with generative AI aren’t just industry giants.
NVIDIA
JULY 23, 2024
Embedding and Reranking Models NeMo Retriever NIM microservices comprise two model types — embedding and reranking — with open and commercial offerings that ensure transparency and reliability. and NeMo Retriever embedding and reranking NIM microservices for a customer service AI chatbot application.
Pickl AI
OCTOBER 25, 2023
Big Data technologies assist in collecting, cleaning, and organizing data, making it ready for AI algorithms. The quality of input data greatly influences the effectiveness of AI models. Data Analysis Big Data analytics provides AI with the fuel it needs to function.
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