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Hello Ai and Data Science Champions! I'm inviting all of our community members who have a passion for technology and our users of IBM products and services to submit their nominations to become an IBM Champion in 2024! If your interest is piqued, you can check out the following blog ...
Registration for the IBM TechXchange Conference 2023 is now open! Join us on 11-14 September 2023 in Las Vegas to dive deep into the latest IBM tech. This is the premier, technical learning event designed with technologists for technologists who use IBM products and solutions. It offers...
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, trained on large, unlabeled datasets and fine-tuned for an array of applications, are...
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 systems do not always result in suspicious investigations or actionable results. These are...
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 a bottleneck. In other terms: if your GPU is fast, and you should feed it data even faster! ...
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 information hidden in natural language to solve customer service issues, get insights from...
9781098108618_web.pdf
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 on learning #datascience , #mentorship and more. Listen to her podcast ...
This content was prepared for “For Coders and Non-Coders: Break into Deep Learning with Python and IBM Watson Studio,” a session at IBM Think 2021. The session was presented by Alex Amari and Cedric Jouan, data scientists with IBM Data and AI Expert Labs. The following lab guide was prepared by...
A Beginner's Guide to Deep Learning 2021.pdf
Learn more and register for the May 18 webcast and demo! A study by VentureBeat AI, determined that only an estimated 13% of data science projects have been deployed into production applications. Developing machine learning models is only part of the AI challenge. Leveraging those models to...
Get pumped for our Cloud Pak for Data Innovation Jam ! Log on at 11:00 am PT/2:00 pm ET on Thursday, May 6th if you can. Join us for a new kind of virtual event. Spend an hour learning what our team is working on and jumping into our product-decision making process. Help us shape...
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