Tackling Enterprise Challenges AI for Professionals: Tackling Enterprise Challenges The AI Summit, San Francisco Beth T. Smith GM, IBM Watson AI @BethTSmith Sep 28, 2017 © 2017 IBM Corporation

Data has transformed every industry, profession, and domain 102,000,000 wearables shipped in 2016, growing to 237,000,000 by 2021 100,000 new cancer articles published every year 80,000,000 MRIs taken every year, up from 3,000,000 in 1980 2,200,000,000 locations generating hyperlocal weather forecasts across the globe every 15 minutes 2,581,586 Emails every second 10,000 new software vulnerabilities recorded in 2016, up 30% since 2011 600,000,000 forms of malware - with close to 400k variations introduced daily 500 hours of video uploaded to YouTube every minute Data is transforming every profession. Every industry is faced with turning increasing volumes of structured and unstructured data into new, easily accessible insights. There is an acute need to become an expert in your domain – and leverage your expertise. Companies must continually improve and personalize customer experiences and applications by infusing AI © 2017 IBM Corporation

Deep learning methods have had a profound impact Image understanding Speech recognition Natural language processing and classification Natural language conversation and dialog Distributed deep learning © 2017 IBM Corporation

But businesses are dealing with much more… Data & insights are IP that need to be combined with 3rd party licensed and public data Most systems need large sets of carefully curated training data “dark” data is significant with ~2.5 trillion PDFs The need to explain the “why” behind an answer © 2017 IBM Corporation

A business example: Understanding compliance in documents Regulatory language and document structure Obligations implied by language, exceptions, conditions Obligations constrain processes: who does what, to whom, when © 2017 IBM Corporation

A business example: Understanding compliance in documents Regulatory language and document structure Obligations implied by language, exceptions, conditions Obligations constrain processes: who does what, to whom, when © 2017 IBM Corporation

A business example: Understanding compliance in documents Regulatory language and document structure Obligations implied by language, exceptions, conditions Obligations constrain processes: who does what, to whom, when © 2017 IBM Corporation

The Watson advantage Accelerate research and discovery Recommend with confidence Enrich interactions Detect liabilities and mitigate risk Anticipate and preempt disruptions Scale expertise and learning © 2017 IBM Corporation

Watson: AI Platform for Business Learns from private data: Protects your insights Deep industry expertise: Trained on industry verticals Addresses strategic workflows: AI for mission-critical use cases © 2017 IBM Corporation

© 2017 IBM Corporation