Unite.AI

MARCH 17, 2025

By getting their data foundations in order now, companies can future-proof their AI investments and position themselves for ongoing, sustainable innovation. The post Future-Proof Your Companys AI Strategy: How a Strong Data Foundation Can Set You Up for Sustainable Innovation appeared first on Unite.AI.

AI Strategy 202

AI Strategy Data Quality AI AI 202

Flipboard

DECEMBER 3, 2024

Generative AI is reshaping businesses and unlocking new opportunities across various industries. As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation.

Generative AI 148

Generative AI Metadata Machine Learning Natural Language Processing 148

IBM Journey to AI blog

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data.

Metadata 238

Metadata AI Strategy Data Scientist Big Data 238

IBM Journey to AI blog

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. The answer is that generative AI leverages recent advances in foundation models.

Data Scientist 276

Data Scientist Machine Learning Automation Metadata 276

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 186

Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

Machine Learning 86

Machine Learning Large Language Models Python Automation 86

DataRobot Blog

MARCH 16, 2023

However, data science teams can spend less time generating ML prediction interpretations and business users can derive greater understanding from their ML applications. Ultimately, users benefit from a transparent, and clear explanation of what ML predictions means to them.

Data Science 98

Data Science OpenAI Data Scientist Large Language Models 98