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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

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. Software like DALL-E or Midjourney can create original art or realistic images from natural language descriptions.

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Top AI Tools Enhancing Fraud Detection and Financial Forecasting

Marktechpost

It is based on adjustable and explainable AI technology. The technology provides automated, improved machine-learning techniques for fraud identification and proactive enforcement to reduce fraud and block rates. CorgiAI CorgiAI is a fraud detection and prevention tool designed to increase income and reduce losses due to fraud.

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Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

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.

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AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

The integration of Artificial Intelligence (AI) technologies within the finance industry has fully transitioned from experimental to indispensable. Initially, AI’s role in finance was limited to basic computational tasks. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.

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Artificial Intelligence trends in 2023

How to Learn Machine Learning

This market growth can be attributed to factors such as increasing demand for AI-based solutions in healthcare, retail, and automotive industries, as well as rising investments from tech giants such as Google , Microsoft , and IBM. In the years to come, AI is expected to become even more powerful.

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10 AI dangers and risks and how to manage them

IBM Journey to AI blog

Bias Humans are innately biased, and the AI we develop can reflect our biases. These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development.