|
|
 |
This Showcase was published on December 14, 2021.
Presenters
Delegate Panel
In this Tech Field Day Showcase, Intel presents how it is working to enable AI everywhere, and shares details about the wide variety of AI Python optimizations and tools it offers.
Follow on Twitter using the following hashtags or usernames: #AI, #Digitaltransformation, #Python, #datascience, #machinelearning
Intel is Enabling AI Everywhere
Many businesses recognize the value and importance of utilizing AI technologies. However, incorporating AI technologies into work processes successfully can be difficult, and many AI projects tend to fail. In response to this, Intel has determined factors that cause AI projects to fail and has established guiding principles that can help people succeed in using AI in their work. Join Nufar Gaspar, Director of AI Everywhere at the AI Center of Excellence at Intel IT, in this Tech Field Day Showcase where she discusses the company’s vision of transforming work with AI technologies, and the strategies and resources Intel is using in an effort to make that vision a reality.
For more information, you can view these resources from Intel:
How Intel Uses AI to Identify Sales & Marketing Opportunities
Building Intel’s AI Center of Excellence
AI Improves Sales Account Coverage
Push-Button Productization of AI Models
Artificial Intelligence Reduces Costs and Accelerates Time to Market
Personnel: Nufar Gaspar
Intel – Python Data Science and Machine Learning at Scale
This Tech Field Day Showcase is sponsored by Intel and presented by Todd Tomashek, Software Engineering Manager in Machine Learning Performance at Intel.
Key Insights: Intel is working to improve workloads for artificial intelligence (AI) developers and data scientists by offering a wide variety of AI Python optimizations and tools. Whether you are at the beginning of your AI journey and looking to learn more, or you consider yourself a data science veteran, you can find great insight about Intel’s tools and technology offerings through this showcase and the accompanying resources.
For more information, you can view the following resources:
Python Data Science and AI Analytics
Intel® Extension for Scikit-learn Performance
Personnel: Todd Tomashek
