Data Platform ETL ML 
IBM Journey to AI blog
JANUARY 18, 2023
Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.
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. HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ODSC - Open Data Science
MARCH 12, 2025
20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. This shift suggests that while traditional ML is still relevant, its role is now more supportive rather than cutting-edge.
AWS Machine Learning Blog
FEBRUARY 21, 2025
Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. This created a challenge for data scientists to become productive.
The MLOps Blog
MAY 31, 2023
And eCommerce companies have a ton of use cases where ML can help. The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. And because of that, many companies decide to centralize this effort in an internal ML platform. But how to build it?
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. Watsonx.data allows customers to augment data warehouses such as Db2 Warehouse and Netezza and optimize workloads for performance and cost. IBM watsonx.ai
AWS Machine Learning Blog
JUNE 18, 2024
Despite the challenges, Afri-SET, with limited resources, envisions a comprehensive data management solution for stakeholders seeking sensor hosting on their platform, aiming to deliver accurate data from low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.
Expert insights. Personalized for you.
130 
Let's personalize your content