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Build Smarter Apps with Einstein Object Detection
Forward-Looking Statement
Statement under the Private Securities Litigation Reform Act of 1995:
This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties
materialize or if any of the assumptions proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed
or implied by the forward-looking statements we make. All statements other than statements of historical fact could be deemed forward-
looking, including any projections of product or service availability, subscriber growth, earnings, revenues, or other financial items and any
statements regarding strategies or plans of management for future operations, statements of belief, any statements concerning new,
planned, or upgraded services or technology developments and customer contracts or use of our services.
The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new
functionality for our service, new products and services, our new business model, our past operating losses, possible fluctuations in our
operating results and rate of growth, interruptions or delays in our Web hosting, breach of our security measures, the outcome of any
litigation, risks associated with completed and any possible mergers and acquisitions, the immature market in which we operate, our relatively
limited operating history, our ability to expand, retain, and motivate our employees and manage our growth, new releases of our service and
successful customer deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger enterprise
customers. Further information on potential factors that could affect the financial results of salesforce.com, inc. is included in our annual
report on Form 10-K for the most recent fiscal year and in our quarterly report on Form 10-Q for the most recent fiscal quarter. These
documents and others containing important disclosures are available on the SEC Filings section of the Investor Information section of our
Web site.
Any unreleased services or features referenced in this or other presentations, press releases or public statements are not currently available
and may not be delivered on time or at all. Customers who purchase our services should make the purchase decisions based upon features
that are currently available. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements.
Go Social!
Salesforce Developers
Salesforce Developers
Salesforce Developers
The video will be posted to YouTube & the
webinar recap page (same URL as registration).This webinar is being recorded!
@salesforcedevs
Have Questions?
• Don’t wait until the end to ask your question!
– Technical support will answer questions starting now.
• Respect Q&A etiquette
– Please don’t repeat questions. The support team is working their way down the
queue.
• Stick around for live Q&A at the end
– Speakers will tackle more questions at the end, time-allowing
• Head to Developer Forums
– More questions? Visit
Agenda
• Einstein Platform Services Overview
• Einstein Vision
• Demo
• Q&A
80% of
apps will
have AI by
2020
Custom Playlists Auto Image Tagging Smart Routes
Source: “IDC FutureScape: Worldwide IT Industry 2017 Predictions” by IDC
AI Boosts Our Personal Productivity
AI Makes Us More Productive Workers, Too
Iulia Creanga
Sales Process Driver
Schneider Electric
Katrice Riley
Client Success Specialist
ZeroCater
Suvi Silvanto
Marketing Director,
Service Business
Kone
Annika Milton
Sr. Project Manager
adidas
Zac Otero
Salesforce Lead
BKD CPAs
& Advisors
Focus on:
the best
deals
Focus on:
customer
satisfaction
Focus on:
increasing
engagement
Focus on:
shopper
experience
Focus on:
building smart
experiences
Salesforce Keeps Getting Smarter with Einstein
Guide Marketers
Einstein Engagement Scoring
Einstein Segmentation
Einstein Vision for Social
Assist Service Agents
Einstein Bots
Einstein Agent
Einstein Vision for Field Service
Coach Sales Reps
Einstein Forecasting
Einstein Lead & Opportunity Scoring
Einstein Activity Capture
Advise Retailers
Einstein Product Recommendations
Einstein Search Dictionaries
Einstein Predictive Sort
Empower Admins & Developers
Einstein Prediction Builder
Einstein Vision & Language
Einstein Discovery
Help Community Members
Einstein Answers
Community Sentiment
Einstein Recommendations
Austin Buchan
CEO, College Forward
Structured
Data
IoT / ERP / CRM
Unstructured
Data
Text / Image / Voice
The Explosion of Data Is Both
Structured and Unstructured
Machine Learning (ML) uses
algorithms to parse data, learn from
it, and make new predictions. It
requires large amounts of training
data and is great at synthesizing
structured data.
Deep Learning (DL) is a type of
Machine Learning that uses neural
networks to recognize complex,
precise patterns in data. It’s great at
synthesizing unstructured data.
Structured Data Unstructured Data
New Types of Data Require
Advanced AI Techniques
Input Layer Hidden Layers
(Deep Structure)
Output Layer
Input
Data
Image Recognition
Natural Language Understanding
Output
Output
Deep Learning Takes a New
Approach to Pattern Recognition
Input 2
Input 3
Input 1
But Deep Learning is Difficult
for Enterprises to Implement
Team of experts
Modeling & Data Science
Infrastructure
Context
What
businesses
want Intelligence
Hidden
complexity
Hosted
Infrastructure
Fully hosted
Managed service
Best-in-class tooling
Built For
Salesforce
Models trained on CRM data
Embedded in Salesforce workflows
Trusted platform
Salesforce
Research
Peer-reviewed research
Integrated into products
Continuous release cycle
Salesforce Einstein Is Democratizing
Deep Learning
Einstein Language Einstein Vision
Einstein Object Detection Einstein Image ClassificationEinstein IntentEinstein Sentiment
Classify text as positive,
negative, or neutral
Classify underlying intent in a
body of text
Extract & contextualize
objects in images
Recognize objects within
images at scale
Embed NLP and Image Recognition
into any App
Einstein Image Classification
Build smarter apps with image recognition
• Embed image recognition into any app
– Visual search, brand detection, object
identification
• Build custom models
– Train Einstein on your brands and
products
• Integrate with Salesforce workflows
– Augment leads, marketing campaigns,
service cases
Visual Search Brand Detection Product Identification
Embed Image Recognition Into Any App
Example use-cases:
Expand the ways your
customers can discover your
products to increase sales
Monitor your brand across
every channel to increase
marketing reach
Visually identify your
products to streamline sales
and service processes
Product Identification
for CPG
Visual Search
for Retail
Visual Auditing
for Transportation
Image Processing
for Healthcare
Photos Unlock Business Value
Across Every Industry
Einstein Object Detection
Build smarter apps with image recognition
• Extract & contextualize objects in images
– Identify, count, and determine size of
object classes
• Build custom models
– Train Einstein on images relevant to your
business
• Improve field sales, service & operations
– Retail execution, inventory management,
service ops
On Shelf
Availability
Share of
Shelf KPIs
Planogram
Compliance
Identify in-stock & out-of-
stock items & count
inventory to automate
records
Calculate % ‘Share of Shelf’
& measure linear ‘Share of
Shelf’
Detect competitive
infringement & leverage
audit display best practices
Optimize Field Sales and Business Operations
Einstein Object Detection use-cases:
CNN – Convolutional Neural Network
Pixels Edges Object Parts Objects
Image
Recognition
Object
Detection
Brand
Detection
Visual
Search
Use Cases
Deep Learning Applied
to Image Recognition
Build Custom Models with
Einstein Object Detection
Demo
Einstein Object Detection
Einstein Vision for
Social Studio
Einstein Language for
Community Sentiment
Einstein Language for
Einstein Agents
Salesforce Apps are Getting Smarter too
Out-of-the-box deep learning integrated into the Salesforce apps you know and love
Build Smarter Apps with Einstein Platform Services
• Image recognition and NLP made
simple
– Harness the power of unstructured data
• Customizable for your business
– Leverage pre-trained CRM models or
train your own
• Extend to any business process
– Embed predictions in Salesforce
workflows and apps
Empowering every trailblazer to build smarter apps
Augment lead scores with image data
Intelligently route service cases
Identify your brand across every channel
Build self-service communities
Deep Learning Is Advancing the Future of CRM
Survey
Your feedback is crucial to the success of our
webinar programs. Please fill out the survey at
the end of the webinar. Thank you!
Q & A
Try Trailhead: trailhead.salesforce.com
Join the conversation: @salesforcedevs
Build Smarter Apps with Einstein Object Detection
Build Smarter Apps with Einstein Object Detection
Build Smarter Apps with Einstein Object Detection
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Build Smarter Apps with Einstein Object Detection

  • 2. Forward-Looking Statement Statement under the Private Securities Litigation Reform Act of 1995: This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties materialize or if any of the assumptions proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed or implied by the forward-looking statements we make. All statements other than statements of historical fact could be deemed forward- looking, including any projections of product or service availability, subscriber growth, earnings, revenues, or other financial items and any statements regarding strategies or plans of management for future operations, statements of belief, any statements concerning new, planned, or upgraded services or technology developments and customer contracts or use of our services. The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new functionality for our service, new products and services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays in our Web hosting, breach of our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the immature market in which we operate, our relatively limited operating history, our ability to expand, retain, and motivate our employees and manage our growth, new releases of our service and successful customer deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger enterprise customers. Further information on potential factors that could affect the financial results of salesforce.com, inc. is included in our annual report on Form 10-K for the most recent fiscal year and in our quarterly report on Form 10-Q for the most recent fiscal quarter. These documents and others containing important disclosures are available on the SEC Filings section of the Investor Information section of our Web site. Any unreleased services or features referenced in this or other presentations, press releases or public statements are not currently available and may not be delivered on time or at all. Customers who purchase our services should make the purchase decisions based upon features that are currently available. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements.
  • 3. Go Social! Salesforce Developers Salesforce Developers Salesforce Developers The video will be posted to YouTube & the webinar recap page (same URL as registration).This webinar is being recorded! @salesforcedevs
  • 4. Have Questions? • Don’t wait until the end to ask your question! – Technical support will answer questions starting now. • Respect Q&A etiquette – Please don’t repeat questions. The support team is working their way down the queue. • Stick around for live Q&A at the end – Speakers will tackle more questions at the end, time-allowing • Head to Developer Forums – More questions? Visit
  • 5. Agenda • Einstein Platform Services Overview • Einstein Vision • Demo • Q&A
  • 6. 80% of apps will have AI by 2020 Custom Playlists Auto Image Tagging Smart Routes Source: “IDC FutureScape: Worldwide IT Industry 2017 Predictions” by IDC AI Boosts Our Personal Productivity
  • 7. AI Makes Us More Productive Workers, Too Iulia Creanga Sales Process Driver Schneider Electric Katrice Riley Client Success Specialist ZeroCater Suvi Silvanto Marketing Director, Service Business Kone Annika Milton Sr. Project Manager adidas Zac Otero Salesforce Lead BKD CPAs & Advisors Focus on: the best deals Focus on: customer satisfaction Focus on: increasing engagement Focus on: shopper experience Focus on: building smart experiences
  • 8. Salesforce Keeps Getting Smarter with Einstein Guide Marketers Einstein Engagement Scoring Einstein Segmentation Einstein Vision for Social Assist Service Agents Einstein Bots Einstein Agent Einstein Vision for Field Service Coach Sales Reps Einstein Forecasting Einstein Lead & Opportunity Scoring Einstein Activity Capture Advise Retailers Einstein Product Recommendations Einstein Search Dictionaries Einstein Predictive Sort Empower Admins & Developers Einstein Prediction Builder Einstein Vision & Language Einstein Discovery Help Community Members Einstein Answers Community Sentiment Einstein Recommendations Austin Buchan CEO, College Forward
  • 9. Structured Data IoT / ERP / CRM Unstructured Data Text / Image / Voice The Explosion of Data Is Both Structured and Unstructured
  • 10. Machine Learning (ML) uses algorithms to parse data, learn from it, and make new predictions. It requires large amounts of training data and is great at synthesizing structured data. Deep Learning (DL) is a type of Machine Learning that uses neural networks to recognize complex, precise patterns in data. It’s great at synthesizing unstructured data. Structured Data Unstructured Data New Types of Data Require Advanced AI Techniques
  • 11. Input Layer Hidden Layers (Deep Structure) Output Layer Input Data Image Recognition Natural Language Understanding Output Output Deep Learning Takes a New Approach to Pattern Recognition Input 2 Input 3 Input 1
  • 12. But Deep Learning is Difficult for Enterprises to Implement Team of experts Modeling & Data Science Infrastructure Context What businesses want Intelligence Hidden complexity
  • 13. Hosted Infrastructure Fully hosted Managed service Best-in-class tooling Built For Salesforce Models trained on CRM data Embedded in Salesforce workflows Trusted platform Salesforce Research Peer-reviewed research Integrated into products Continuous release cycle Salesforce Einstein Is Democratizing Deep Learning
  • 14. Einstein Language Einstein Vision Einstein Object Detection Einstein Image ClassificationEinstein IntentEinstein Sentiment Classify text as positive, negative, or neutral Classify underlying intent in a body of text Extract & contextualize objects in images Recognize objects within images at scale Embed NLP and Image Recognition into any App
  • 15. Einstein Image Classification Build smarter apps with image recognition • Embed image recognition into any app – Visual search, brand detection, object identification • Build custom models – Train Einstein on your brands and products • Integrate with Salesforce workflows – Augment leads, marketing campaigns, service cases
  • 16. Visual Search Brand Detection Product Identification Embed Image Recognition Into Any App Example use-cases: Expand the ways your customers can discover your products to increase sales Monitor your brand across every channel to increase marketing reach Visually identify your products to streamline sales and service processes
  • 17. Product Identification for CPG Visual Search for Retail Visual Auditing for Transportation Image Processing for Healthcare Photos Unlock Business Value Across Every Industry
  • 18. Einstein Object Detection Build smarter apps with image recognition • Extract & contextualize objects in images – Identify, count, and determine size of object classes • Build custom models – Train Einstein on images relevant to your business • Improve field sales, service & operations – Retail execution, inventory management, service ops
  • 19. On Shelf Availability Share of Shelf KPIs Planogram Compliance Identify in-stock & out-of- stock items & count inventory to automate records Calculate % ‘Share of Shelf’ & measure linear ‘Share of Shelf’ Detect competitive infringement & leverage audit display best practices Optimize Field Sales and Business Operations Einstein Object Detection use-cases:
  • 20. CNN – Convolutional Neural Network Pixels Edges Object Parts Objects Image Recognition Object Detection Brand Detection Visual Search Use Cases Deep Learning Applied to Image Recognition
  • 21. Build Custom Models with Einstein Object Detection
  • 23. Einstein Vision for Social Studio Einstein Language for Community Sentiment Einstein Language for Einstein Agents Salesforce Apps are Getting Smarter too Out-of-the-box deep learning integrated into the Salesforce apps you know and love
  • 24. Build Smarter Apps with Einstein Platform Services • Image recognition and NLP made simple – Harness the power of unstructured data • Customizable for your business – Leverage pre-trained CRM models or train your own • Extend to any business process – Embed predictions in Salesforce workflows and apps Empowering every trailblazer to build smarter apps
  • 25. Augment lead scores with image data Intelligently route service cases Identify your brand across every channel Build self-service communities Deep Learning Is Advancing the Future of CRM
  • 26. Survey Your feedback is crucial to the success of our webinar programs. Please fill out the survey at the end of the webinar. Thank you!
  • 27. Q & A Try Trailhead: trailhead.salesforce.com Join the conversation: @salesforcedevs