IBM Journey to AI blog

JUNE 27, 2024

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments.

Generative AI 305

Generative AI Data Ingestion Large Language Models Data Discovery 305

IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

Data Quality 112

Data Quality Metadata Business Intelligence AI 112

ODSC - Open Data Science

JULY 20, 2023

Then, they are deployed using specific generative AI tools based on each organization’s needs. MosaicML is one of the pioneers of the private LLM market, making it possible for companies to harness the power of specialized AI to suit specific needs. The deal has MosaicML become part of the Databrinks Lakehouse Platform.

Machine Learning 52

Machine Learning Data Science Neural Network Automation 52

Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

Flipboard

NOVEMBER 27, 2024

The table only exists in the Data Catalog. This powerful solution opens up exciting possibilities for enterprise data discovery and insights. We encourage you to deploy it in your own environment and experiment with different types of queries across your data assets.

Metadata 149

Metadata Auto-complete Data Discovery ML Engineer 149