AI Solution Demo Talks Coming to the ODSC Europe 2020 Virtual AI Expo
Business + ManagementFeatured PostEurope 2020IBMRed Hatposted by ODSC Team September 7, 2020 ODSC Team
Building your own AI solution can be a time and resource-intensive process. As a result, despite the benefits, it doesn’t always make sense for your business or company. Fortunately, there are well-known, innovative companies that have developed AI solutions to help you meet your business needs. Plus, you can see them demonstrated live during the Demo Talks at the ODSC Europe 2020 Virtual AI Expo this September 17th and 18th, available for free.
Below are just a few of the ODSC Europe demo talks from companies that will be showcasing their products during the Virtual AI Expo.
“First Aid Kit for Data Science: Keeping Machine Learning Alive” SAS
It is easy to get caught up in the excitement of the rapid pace of machine learning and artificial intelligence development. Companies are continuously exploring new products and opportunities at the cutting-edge of technology. However, they also continuously face the same challenges when trying to bring those ideas to life. This session will help you address those questions of model development: “What is required to turn Machine Learning and AI into value? What does it mean when one talks about the deployment or operationalization of machine learning? How do we manage and govern machine learning models once they run in production?” You’ll learn how to approach the process of Model Management & Governance so that your company can bring your AI and machine learning models alive.
“eXplainable Predictive Decisioning: combine ML and Decision Management to promote trust on automated decision making” Red Hat
The past several years have shown an increased demand for explainable AI, or machine learning algorithms that are not only accurate, effective, and consistent, but also transparent and explainable. This presentation will focus on a pragmatic, standards-based approach to explainable AI that combines analytic and decision models that promotes an effective way of increasing transparency, without sacrificing effectiveness, on automated decision making.
“VerticaPy Demo: Building a Prediction Churn Model Using Random Forest & Logistic Regression” Vertica
Discover VerticaPy, a Python library that utilizes sci-kit like functionality and data stored in Vertica to execute data science projects. Using Vertica data allows you to get the most out of the platform’s rapid queries, machine learning capabilities, and analytics. This session will show how you can explore and prepare data more simply and quickly. demonstrate how simpler and quicker are data exploration and preparation. We will then demonstrate how in-database machine learning helps evaluate and deploy models easily while showcasing a prediction churn example using random forest and logistic regression.
Want to learn more about VerticaPy? Check out their talk, “VerticaPy: Demystifying Machine Learning Complexity with Python at Scale,” too.
“Sports Analytics – Leveraging Open Source Technology to Improve Athlete Performance” NC State University
Want to explore a real-world application of HPCC Systems? This session will give you a look at how NC State University Strength and Conditioning is utilizing it for its data analysis project. Get an examination of how the system works: from inputting data into the HPCC Systems cluster, to how you would output data into reports. Get an in-depth look into how the system was set-up.
“Build and Deploy Custom AI Predictive Models” IBM
Learn how to use AutoAI, and its training features, to develop and deploy machine learning models without code. Live demonstrations with public datasets will give you a chance to witness AutoAI in action and analyze the resulting models.
To learn more about these products, and see them demonstrated live, register for your free pass to the Virtual AI Expo at ODSC Europe 2020.