Unite.AI

JANUARY 1, 2025

AI serves as the catalyst for innovation in banking by simplifying this sectors complex processes while improving efficiency, accuracy, and personalization. AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

Unite.AI

MARCH 18, 2025

What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them? Scalability remains one of the biggest challenges for AI teams. Since AI models require massive amounts of data, efficient collection is no small task. This is not how things should be.

AI Modeling 147

AI Modeling Automation Explainable AI AI Chatbots 147

IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. Gen AI models are trained on massive volumes of raw data.

Generative AI 301

Generative AI Explainability AI AI 301

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 220

Metadata Explainability Automation Explainable AI 220

ODSC - Open Data Science

JUNE 1, 2023

Generative AI May Help You Design Your New Game Character If legendary gaming studio Blizzard has its way, generative AI may be the next step in immersing in a game. Announcing the Free Generative AI Summit on July 20th To keep up with current trends, we’re hosting our first-ever Generative AI Summit, a free virtual event on July 20th.

ML 52

ML Data Scientist Big Data Data Science 52

Viso.ai

MARCH 26, 2024

These systems rely on AI models, like CNNs, for image recognition and recurrent neural networks ( RNNs ) for voice pattern analysis. In turn, these models are typically developed using frameworks like TensorFlow and Keras. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.

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Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

How to Learn Machine Learning

JANUARY 21, 2023

Robotics – As AI continues to advance, robots will become even more intelligent and capable of performing complex tasks such as analyzing data, assembling products and predicting outcomes. AI-Powered Chatbots – AI chatbots are expected to become even more sophisticated and capable of delivering personalized customer service experiences.

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