AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools.

Data Science 68

Data Science Data Scientist Data Ingestion DevOps 68

IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. Later this year, watsonx.data will infuse watsonx.ai

Metadata 238

Metadata AI Strategy Data Scientist Big Data 238

AI News

SEPTEMBER 26, 2023

AI and machine learning (ML) models are incredibly effective at doing this but are complex to build and require data science expertise. With CustomerAI Predictions now generally available, Twilio Segment is putting the power of predictive AI at marketers’ fingertips. Here are four trends in AI personalisation.

Big Data 335

Big Data AI AI ETL 335

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 131

Machine Learning DevOps Data Scientist Data Quality 131

IBM Journey to AI blog

JULY 17, 2023

IBM watsonx.ai: enterprise-ready next-generation studio bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Machine Learning 186

Machine Learning Metadata Automation AI 186

IBM Journey to AI blog

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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Neural Network LLM Algorithm NLP 256