We're witnessing a transition in AI. Systems that execute specific tasks in a single domain are giving way to broad AI that learns more generally and works across domains and problems. Foundation models, ...
Today’s top performing enterprises are achieving growth and revenue goals by being data driven and s u ccessfully adopting AI and ML technologies. While most organizations see the value in AI , developing ...
Introduction Banks are facing an increasing demand from regulators to monitor and mitigate money laundering risks. One common challenge is that Anti-Money Laundering (AML) Transaction Monitoring ...
When training Deep Learning models using GPUs, speeding up your data pipeline is paramount. The goal is to make sure that you are accessing and preparing data fast enough so that the data pipeline is not ...
When designing a benchmark , one of the most important aspects to determine is how to best represent the use case with a load test tool . The two most common methods derive their names from queueing ...
Teaching AI the Language of Your Business: NLP Applications for the Enterprise by Kinga Parrott Report Description: Organizations in all industries are increasingly finding ways to leverage the ...
This email landed in my inbox this morning, wanted to share with all of you here: Hi Data Do-Gooders! We’re looking for dedicated volunteers to lead and work on two exciting volunteer opportunities: ...
Data Femme's Season Two podcast finale raises the question of whether or not we can or even should trust machines alongside us. IBM's data wiz @Sepideh Seifzadeh will shower you with new perspectives ...
Many industries have centered on AI-based innovation in their business development. However, trust in AI output is crucial for the broad adoption of AI systems. A natural question arises on how to ensure ...
The Open Source Summit will be held on September 27–30, 2021 in Seattle Washington. This is the largest Linux Foundation event in the North America where the open source developers gather and present ...