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Thursday, May 9 • 1:45pm - 2:30pm
Democratization of AI/ML: Machine Learning for the Masses

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Size of the AI/ML global opportunity
a. It is believed that artificial intelligence (AI) and machine learning (ML) will contribute $13 billion to the global economy by 2030.
b. The following six companies have collectedly invested over $7.7 billion in AI/ML research and development: Google ($3.9 billion), Amazon ($871 million), Apple ($786 million), Intel ($776 million), Microsoft ($690 million), and Uber ($680 million).

Deficit of trained data scientists’ vs. open opportunities
a. According to the August 2018 LinkedIn Workforce Report, there is a national shortage of 151,717 people with data science skills.
b. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000.

Development of tools to make it easier for non-data scientists to do AI/ML
a. Six of the most common ML use cases are as follows: Customer Lifetime Value Modeling, Churn Modeling, Dynamic Pricing, Customer Segmentation, Image Classification, and Recommendation Engines.
b. Talk about ML APIs, Keras, and AutoML as enablers of addressing the “turnkey ML” use cases

Introduction to Use Case: Autonomous Inspections of Aircraft
a. Market opportunity for infrastructure inspection is over $45.2 Billion, with predictive maintenance specifically growing 400% by 2022.
b. Similar solutions have seen the following results: 10x reduction in time spent in inspections, 20% to 30% reduction in maintenance costs, and 15% to 20% reduction in unplanned downtime.

Breakout of the Google tools used in the demo and what each one does
a. Pub/Sub
b. Cloud Storage
c. Machine Learning APIs/AutoML
d. App Engine
e. Google Street View API
f. Google Earth API

See the slides.

Watch the video.

avatar for Tracy Bannon

Tracy Bannon

Senior Architect, Deloitte Consulting
I am a passionate architect with over 25 years' experience. As a senior architect with Deloitte's Cloud Engineering practice, I work across commercial, state, and federal government clients. My specialty is solution and application architecture emphasizing cloud-native/for-cloud refactoring... Read More →
avatar for Ryan Luckay

Ryan Luckay

Deloitte Consulting, LLP
Ryan Luckay is a Specialist Senior in the Deloitte Consulting, LLP, Technology and Systems Integration service. Ryan works as a project manager and futurist for government clients. Ryan has co-authored over 15 intellectual property filings and several white papers on topics involving blockc... Read More →

Thursday May 9, 2019 1:45pm - 2:30pm EDT
Grand Station 4 Sheraton Pittsburgh Hotel at Station Square