AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

Generative AI 76

Generative AI LLM AI AI 76

IBM Journey to AI blog

DECEMBER 13, 2023

Read the blog: How generative AI is transforming customer service Customer service types that organizations should prioritize By offering different types of customer service and several customer support channels, organizations demonstrate they are investing in customer care.

Chatbots 235

Chatbots DevOps Generative AI Conversational AI 235

IBM Journey to AI blog

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. This year, the IBM Consulting team helped the USTA draw on the generative AI capabilities of watsonx to create audio and text commentary in near real-time.

DevOps 164

DevOps Natural Language Processing Large Language Models Automation 164

IBM Journey to AI blog

SEPTEMBER 20, 2023

To help with all this, IBM is offering enterprises the necessary tools and capabilities to leverage the power of these FMs via IBM watsonx , an enterprise-ready AI and data platform designed to multiply the impact of AI across an enterprise. IBM watsonx consists of the following: IBM watsonx.ai

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

AWS Machine Learning Blog

FEBRUARY 21, 2025

Steep learning curve for data scientists: Many of Rockets data scientists did not have experience with Spark, which had a more nuanced programming model compared to other popular ML solutions like scikit-learn. This created a challenge for data scientists to become productive.

Data Science 72

Data Science Data Scientist Data Ingestion DevOps 72

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 136

Machine Learning DevOps Data Scientist Data Quality 136

AWS Machine Learning Blog

OCTOBER 20, 2023

Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale.

ML 128

ML Data Scientist ML Engineer Data Science 128