IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

Data Integration 256

Data Integration ETL Business Intelligence Data Quality 256

AI News

SEPTEMBER 26, 2023

Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation. With Segment, you choose where you start.

Big Data 329

Big Data AI AI ETL 329

ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

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

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

AUGUST 4, 2023

We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models.

Data Scientist 83

Data Scientist ML ETL Data Platform 83