Highlights from the 2019 AIDC New York Summit
Medical imaging that can detect early-stage lung cancer… vision analytics to detect high-value (or dissatisfied) customers … faster, more accurate data science technologies. These AI-driven solutions and more were showcased at the Intel® AIDC Summit held on Sept. 19, 2019, in New York.
64 AI developers, IT decision-makers and data scientists attended the full-day event in the Big Apple, where they learned about the achievements of leading AI innovators and received hands-on training in how to apply the latest Intel® software, hardware and open source tools to build, accelerate and deploy real-world AI and deep learning applications.
The New York AIDC Summit featured presentations from two Intel® AI Builder partners:
- Applications of Intel® AI: BODO, Inc. – The challenge: advanced analytics is complex and slow, resulting in poor insights and unproductive data science. BODO demonstrated its approach using unified development and production environments, running a single code and single data lake, scaling Python* AI for high-performance computing. The presentation showed how to simplify data science at scale and create the fastest compute cluster engine for data science.
- Applications of Intel AI: QuEST Global – QuEST shared a sampling of its wide-ranging solutions leveraging Intel® AI technology, including healthcare solutions for early detection of lung cancer in which medical scans employ deep learning to detect cancerous nodules. QuEST also showcased its retail and banking applications for advanced vision analytics to recognize high-value customers and reduce queue times.
Join Us for a Day of Hands-on AI Learning
The AIDC Summit Series is hosted in cities worldwide, bringing together data scientists, researchers, developers and management-level IT staff for a day of hands-on learning and presentations. Check out the Intel AIDC Summit Series website to find an upcoming event near you.
Who should attend?
Attendees should have a basic understanding of AI principles, machine learning and deep learning, Python* coding experience, and familiarity with TensorFlow*, Caffe* and other frameworks. For anyone desiring a refresher, Intel recommends optional introductory courses covering Machine Learning, Deep Learning and Applied Deep Learning with TensorFlow.
Want to learn more?
For details on the Intel AIDC Summit Series content, training materials, and other Intel AI resources, check out the Intel® AI Academy.