The Artificial Intelligence Conference San Jose

Intel is a co-presenter of the 2019 Artificial Intelligence Conference, which expects an attendance of 2000+ business/strategy and technical industry leaders. If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)—join us at the O’Reilly AI Conference.

Keynotes - Day 3

Wednesday September 11, 2019

Title Time Location Authors Abstract
Getting From A to AI 9:10am - 9:25am Hall 2 Eric Gardner
  • A structured approach to the AI journey
  • Real examples of customers delivering on the AI promise
  • Trends to watch that might impact your approach in the future

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Keynotes - Day 4

Thursday September 12, 2019

Title Time Location Authors Abstract
Accelerate with Purpose 9:30am - 9:40am Hall 2 Ananth Sankaranarayanan
  • How and why the demands on ai compute are shifting
  • Ways that hardware architectures are being rethought to keep up with demand
  • When and how your organization should utilize hardware acceleration

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Sessions - Day 3

Wednesday September 11, 2019

Title Time Location Authors Abstract
Challenges and future directions in deploying NLP in commercial environments 4:00pm - 4:40pm Expo Hall 3 Moshe Wasserblat

Moshe will demonstrate the challenges and review the latest AI solutions in deploying NLP in commercial environments, specifically dealing with small amount of data available for training and scaling across different domains.

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From General Purpose to Purpose-Built: Why Shifts in Algorithmic Development Demand us to Rethink How We Use Hardware
4:50pm - 5:30pm 230A Tingwei Huang Learn More
Artificial intelligence in action: Horizontal enterprise solutions - Conversational AI 4:50pm - 5:30pm 230B Rohit Israni

Across segments, enterprises are exploring novel ways of providing stellar customer service. Conversational AI is delivering just that – high-quality customer service, available 24-7, and in a geography-agnostic manner.

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Sessions - Day 4

Thursday September 12, 2019

Title Time Location Authors Abstract
Key Insights from AI Use Cases Using Xeon 11:55am - 12:35pm Santa Clara (Hilton) Kushal Datta Learn More
Self-supervised Machine learning, the next big thing in AI 11:55am - 12:35pm Expo Hall 3 Vinay Rao, Santi Adavani

An Effective Learning method with minimum labelled data and human intervention.

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Delivering AI Vision Ecosystem Offers with Intel AI in Production 4:00pm - 4:40pm LL21 C/D Lindsay Hiebert

There are various challenges for developers to design a product that solves a real world problem utilizing the power of AI & IoT, including the complexity of new technologies and fragmented landscape of players, lack of hardened developer offerings for specific vertical market needs. To address these challenges and to help the developer community & partners unlock the full potential of AI at the edge, Intel launched its Intel® AI: In Production ecosystem, to help accelerate prototype to production at the edge with Intel & partner offerings, and to achieve scale through various ecosystem programs.

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Tutorials - Day 2

Tuesday September 10, 2019

Title Time Location Authors Abstract
Analytics Zoo: Distributed TensorFlow and Keras on Apache Spark 9:00am - 12:30pm Almaden Ballroom Jason Dai, Yuhao Yang, Jiao Wang, Guogiong Song

Analytics Zoo provides a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. The entire pipeline can then transparently scale out to a large Hadoop/Spark cluster for distributed training or inference.

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Driving business impact with the Intel AI technology portfolio 9:00am - 12:30pm 230A Ananth Sankaranarayanan

Ananth Sankar explores a framework for building analytics and AI applications on top of your data platform, implementation choices, and specific examples of how you can take advantage of Intel AI hardware and software capabilities at scale to deliver business value.

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Accelerating Deep Learning workloads in the Cloud and Data Centers 4:40pm - 5:00pm 230A Ravi Panchumarthy

No one has time to search, install and setup the environment for running Deep Learning (DL) workloads optimally! Intel collaborated with major CSP’s and OEM partners to include pre-configured optimized DL environments, allowing data scientists and deep learning practitioners to instantly have access to Intel Optimized DL environments. This will get you started to quickly setup Intel Optimized AI environments for your workloads, be it in the cloud or in your data center.

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AI In The Enterprise - Day 3

Tuesday September 10, 2019

Title Time Location Abstract
AI in the Enterprise: The Intel® AI Builders Showcase Event 1:30pm - 7:30pm 230A Join us for AI in the Enterprise: The Intel® AI Builders Showcase Event at the O’Reilly Artificial Intelligence Conference in San Jose, California, to learn how to deploy enterprise AI solutions with Intel and its partner ecosystem. This event features market-ready AI solutions that are optimized on Intel technologies across a wide variety of industries and use cases.

Visit Our Booth!

At the Intel booth, #101, you’ll discover how Intel is powering AI today across the broadest set of use cases, enabling AI everywhere. Join us for in-booth presentations, demonstrations, and the opportunity to connect with fellow industry experts and leaders.

Intel® AI Builders Program: Accelerating AI Ecosystem Innovation

The Intel® AI Builders program is an ecosystem of industry leading independent software vendors, system integrators, original equipment manufacturers, and enterprise end users who have a shared mission to accelerate the adoption of AI across Intel platforms. Members of the program gain valuable access to technical enablement resources, co-marketing opportunities, and are considered for match-making and Intel Capital investment to help drive adoption of AI solutions in the enterprise.

Check out the new Intel® AI Builders Solutions Catalog to find market-ready AI solutions on Intel® for your industry, use case, or hardware needs.

Booth Demonstrations

MAXQAI

ACCELERATE SUSPECTED INTRACRANIAL HEMORRHAGE DETECTION WITH AI

IBM

END-TO-END DATA ANALYTICS: COLLECT, ORGANIZE, ANALYZE, & INFUSE

SAS

PREDICTIVE MAINTENANCE USING STREAMING ANALYTICS

LARSEN AND TURBO TECH SERVICES

INTELLIGENT DATA EXTRACTION FROM ENGINEERING DOCUMENTS

MAXQ AI’S ACCIPIO® IX INTRACRANIAL HEMORRHAGE (ICH) PLATFORM, THE COMPLETE ICH SOLUTION FOR STROKE AND HEAD TRAUMA ASSESSMENT, IS DESIGNED TO GREATLY INCREASE ICH DETECTION AND REDUCE MISSED ICH THROUGH NEAR REAL-TIME TRIAGE, ANNOTATION AND DIAGNOSTIC RULE-OUT. THE DEMO WILL SHOWCASE THE COMPLETE ACCIPIO® PLATFORM, WHICH IS SEAMLESS FROM THE START WITH A FULLY AUTOMATED SOLUTION THAT PROVIDES IDENTIFICATION & PRIORITIZATION TO SUPPORT THE RADIOLOGIST, EMERGENCY ROOM AND NEURO-RAD TEAMS WITH A FULLY-AUTOMATED SOLUTION. LEARN MORE IN THE INTEL ON AI PODCAST, TAKE A LOOK AT THE BLOG POST ON DL ALGORITHMS IN THE ACUTE-CARE MARKETPLACE, AND LEARN ABOUT THE LATEST ENHANCEMENT OF THE ACCIPIO® ICH PLATFORM. LEARN HOW TO SIMPLIFY AND AUTOMATE HOW YOUR ORGANIZATION TURNS DATA INTO INSIGHTS WITHIN A DESIGN USING IBM CLOUD PAK™ FOR DATA. MAKE DATA SIMPLE AND ACCESSIBLE, CREATE A BUSINESS-READY ANALYTICS FOUNDATION, BUILD AND SCALE AI WITH TRUST & TRANSPARENCY, AND OPERATIONALIZE AI THROUGHOUT THE BUSINESS. CHECK OUT THIS DEMO TO SEE HOW CLOUD PAK™ CAN BE CUSTOMIZED TO YOUR UNIQUE DATA LANDSCAPE. THE MOST SUCCESSFUL IOT ECOSYSTEMS ARE THOSE UTILIZING BEST IN CLASS SOFTWARE AND HARDWARE TO SUPPORT COMPLEX LAYERS OF ADVANCED ANALYTICS AND AI TECHNIQUES TO DERIVE THE BEST POSSIBLE INTELLIGENCE AND VALUE FOR THE BEST ROI. THIS DEMO WILL SHOWCASE SAS MANAGING AND ORCHESTRATING ITS ADVANCED ANALYTICS AND AI CAPABILITIES FROM EDGE TO ENTERPRISE THROUGH STREAMING ANALYTICS FROM SAS SUPPORTED BY INTEL’S LATEST ADVANCEMENTS IN COMPUTER VISION HARDWARE. DESPITE TECHNOLOGICAL ADVANCEMENTS, TRADITIONAL ENGINEERING COMPANIES HAVE BEEN VERY SLOW IN DIGITAL ADOPTION. THE TASK OF DIGITALIZING LEGACY DATA, WHICH WHEN DONE MANUALLY IS BOTH TIME-CONSUMING AND COST-INTENSIVE ACTIVITY. THE AIKNO® META DATA EXTRACTION SOLUTION HELPS IN SOLVING THE CHALLENGE OF EXTRACTING METADATA FROM NOISY AND UNSTRUCTURED LEGACY SCANNED DOCUMENTS AND CONVERTING THE UNSTRUCTURED DATA INTO A STRUCTURED FORMAT.

SPARKCOGNITION

AUTOMATED ML: SOLVING CRITICAL BUSINESS PROBLEMS IN LESS TIME

AVAAMO

VIRTUAL ASSISTANTS IN HEALTHCARE: HOW HUMAN CAN THEY BE?

WRNCH

AI-DRIVEN PERSONALIZED TRAINING & FITNESS

GE

AUTOMATED IDENTIFICATION AND ALIGNMENT OF MRI SCANS

CUSTOM-BUILD NOVEL, ELEGANT MACHINE LEARNING MODELS THAT ACT DIRECTLY ON YOUR DATA TO EXTRACT ACTIONABLE BUSINESS INSIGHTS IN LESS TIME THAN TRADITIONAL DATA SCIENCE METHODS. SPARKCOGNITION’S AUTOML SOLUTION DARWIN, EMPOWERS YOU WITH PRODUCTIVE WORKFLOWS TO MAKE YOUR DATA READY FOR THE MACHINE LEARNING PROCESS AND QUICKLY OPTIMIZE, DEPLOY, AND MAINTAIN THOUSANDS OF MODELS FROM A SINGLE ENVIRONMENT. AVAAMO WILL SHOWCASE A LIVE CONVERSATION WITH UCHEALTH’S VIRTUAL ASSISTANT, “LIVI.” DURING THIS DEMO, THEY WILL DISCUSS HOW AI TECHNIQUES ARE IMPLEMENTED, TIME TO DEPLOYMENT, AND HOW UCHEALTH HAS BEEN ABLE TO SUCCESSFULLY AUTOMATE THE PATIENT EXPERIENCE IN A PERSONALIZED AND, SURPRISINGLY, VERY HUMAN WAY. LEARN MORE ABOUT AVAAMO’S CONVERSATIONAL AI SOLUTION: LISTEN TO THE PODCAST, SEE THE DEMO IN ACTION, AND READ MORE IN THE SOLUTION BRIEF. WRNCH IS THE WORLD SOFTWARE ENGINEERING LEADER IN USING AI AND DEEP MACHINE LEARNING TO TEACH CAMERAS HOW TO UNDERSTAND HUMAN MOTION AND ACTIVITY IN VIDEO, THROUGH A FRICTIONLESS MOTION CAPTURE AND ACTIVITY RECOGNITION EXPERIENCE TO DIGITIZE HUMAN. LOCATED IN MONTREAL, CANADA, A RENOWNED DEEP LEARNING HUB FOR AI, WRNCH IS CHANGING HOW WE INTERACT WITH THE WORLD, EACH OTHER AND AI; MAKING OUR LIVES SAFER, HEALTHIER AND OF COURSE, MORE FUN! GE HEALTHCARE’S ARTIFICIAL INTELLIGENCE PRESCRIPTION (AIRX™) IS A 510(K)-APPROVED AUTOMATED WORKFLOW TOOL USING ARTIFICIAL INTELLIGENCE (AI) TO PRECISELY IDENTIFY AND ALIGN MR SCANS FOR DIAGNOSTIC NEUROIMAGING. GE HEALTHCARE PARTNERED WITH INTEL TO OPTIMIZE THE INFERENCE SPEED OF AIRX™ ON THEIR EXISTING INTEL® XEON® CPU-BASED PLATFORMS. USING SOFTWARE OPTIMIZATION, INCLUDING THE INTEL® DISTRIBUTION OF OPENVINO™ TOOLKIT, GE HEALTHCARE REDUCED THE TOTAL INFERENCE TIME FROM 2.85 SECONDS TO 0.659 SECONDS WITHOUT THE ADDITIONAL COST OF HARDWARE ACCELERATORS.

If you are interested in discovering AI careers that reshape business and society, be sure and stop by our booth and meet our recruiting team or visit the Intel AI careers page where you can explore different roles and join our talent network.

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