Ai in workplace updated

AI in Workplace – A
Future Ready Boon
Discussion Document
Version 0.1
20th November, 2018
Contents
SG Contents 1
ES Executive Summary 2
O Overview 3
A Understanding Artificial Intelligence 4
AI in Workplace areasB 5
AI in Workplace areas-Use Cases - HRB1 6
Top Vendors for AI deployment in HRC1-C4 10-17
Top Vendors for AI deployment in OperationsC5-C8 18-21
Top Vendors for AI in Sales and MarketingC9-C12 22-25
Top Vendors for AI deployment in FintechC13-C16 26-29
Companies that deployed AI based solution-HRD1-D4 30-33
Companies that deployed AI solution-OperationsD5-D8 34-37
AI in Workplace areas-Use Cases - OperationsB2 7
AI in Workplace areas-Use Cases – Sales & MarketB3 8
AI in Workplace areas-Use Cases – FinTechB4 9
Top Vendors for AI deploymentC 10-29
Case Studies: Companies that deployed AI based solsD 30-45
Future Leaders of AIE 46-50
Future Leaders of AI: ResearchE1 47
Future Leaders of AI: StartupsE2 48-50
Companies that deployed AI based solution-S&MD9-D12 38-41
Companies that deployed AI solution-FintechD13-D16 42-45

Statistics at a GlanceSG
31
38
57
85
85
5.1
1
60
225
12.5
47
40
https://www.cmo.com/features/articles/2017/8/24/15-mindblowing-stats-about-artificial-intelligence-dmexco.html#gs.DmKXpPc ;
https://blog.capterra.com/machine-learning-and-artificial-intelligence-statistics/
% companies will
implement AI in
next 12 months
% of all jobs in
2030 will
replaced by AI
% of Business
Buyers by 2020
will use AI tools
% customer
interactions by
2020 will be w/o
humans
% executives
believe AI boosts
productivity
USD Billion will
be the size of AI
industry by 2020
USD Billion saved
by NETFLIX using
Machine Learning
USD Billion will
be the size of AI
software market
by 2025
% decrease
experience by
Amazon in
“Click-to-Ship”
time using ML
% of staff time is
lost in data
collection.
% of digitally
mature
organization
have defined
their AI strategy
% growth in
labor
productivity
expected with AI

Executive SummaryES
• AI is a boon to the Modern Workforce. AI can handle mundane and repetitive tasks across the
organization, freeing up people in HR, IT, marketing, and more to exercise creativity, solve complex
problems, and otherwise focus on getting impactful work done.
• In July 2017, Allegis Group, released findings from a survey of more than 300 HR professionals,
senior-manager level and above, who reported about AI and its impact on the future of work. The
research found that:
‒ 21 % view AI as something to be excited about
‒ 17 % consider it both disrupting and enabling
‒ 9 % believe AI will displace most jobs in 10 years
• There are several examples of AI in workplace which have shown positive gains for the companies:
‒ SAP CoPilot: Digital Assistant in the Enterprise
‒ Deloitte: Machine-Learning Contract Review
‒ AISense: Call, Meeting Transcriptions
‒ WalkMe: AI for Software Training
‒ ServiceChannel: Restaurant Facilities Management Aid
‒ Niles: Learning Slack Conversations
‒ Acculation, Inc.: AI Meets Social Media

2. Top Companies that used AI-Based solutions for the given use case. We will cover the following
about such companies
OverviewO
• AI in workplace areas finds applications across different Business Functions
1. Human Resources
2. Operations
3. Sales and Marketing
4. Finance
• To understand how AI is helping organization become more efficient and optimized, we will
discuss 4 use cases in each of the 4 business functions mentioned above.
• For each use case, we will understand the following:
1. Top Companies that provide AI-Based solutions for the given use case. We will cover the
following about such companies
• Company Profile
• Products and service offerings
• Top Clients
• Company Profile
• AI – based Solution deployed
• Impact of Solution

Examples
Understanding Artificial Intelligence
• Purely reactive with no ability to form
memories or use past experiences.
• This cannot be applied to other situations.
• Improve ability of AI to perform tasks better.
Categories Description
• Sales Automation Tools
• Automatically detecting and correcting supply chain data
errors
• Intelligent IoT systems in manufacturing
• Self-driving/autonomous cars
• Chatbots
• Digital Assistants - Siri and Cortana
Reactive machines
1
Limited memory
machines
2
Theory of mind
machines
3
Self-awareness AI
machines
4
• Advanced class of technology that requires
thorough understanding that people and
things within an environment can alter
feelings and behaviors.
• Ability to gauge things within their worlds
• Extension of theory of mind AI
• This involves machines with consciousness.
• Devices are tuned into cues from humans,
but able to display self-driven reactions too
Definition
• AI is the ability of a computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
• The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic
of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
• AI can be categorized in to 4 broad categories
A
• C-3P0 and R2-D2
• Sophia, Han, PKD (Droids)
• Alice, Zeno
• Baidu brain, Google brain
• Machines that look into the past
• Dependent on pre-programmed knowledge
and observations carried out over time
• Information about the past transient
http://theconversation.com/understanding-the-four-types-of-ai-from-reactive-robots-to-self-aware-beings-67616 ;
https://betanews.com/2017/04/28/how-to-recognize-type-of-artificial-intelligence/

B.1 Robotic Process Automation
B.2 Predictive maintenance
B.3 Manufacturing Analytics
B.4 Inventory & supply chain
optimization
Description
AI in Workplace areas
Workplace Areas Use-Cases
A.1 Automated Hiring
A.2 Performance management
A.3 HR retention management
A.4. Digital assistant
A.1.1 Leverage AI to attract, screen, engage and hire best employees
A.2.1 Manage employees performance effectively w/o hurting motivation
A.3.1 Predict employees who are likely to leave the organization and take
customized measures
A.4.1 Automating communication such as email communication through
digital assistants
HR
(Human
Resource)
A
B
B.1.1 Digitizing process systems without replacing the existing legacy systems
B.2.1 Maintenance of machinery and other industrial robots by predicting
machinery functional efficiency
B.3.1 Also called industrial analytics systems, these systems allow to analysis
of manufacturing procedures
B.4.1 Machine Learning based order and inventory management to ensure
minimum inventory holding and faster TAT
Operations
B
C.1 Customer Retargeting
C.2 Recommendation engine
C.3 Predictive sales
C.4 Sales data input automation
C.1.1 Retarget customers who express interest in products or services
C.2.1 This involves analyzing the customer data to provide recommendations
based on consumption trends
C.3.1 AI to enable score leads and prioritize sales representative actions.
C.4.1 Automatic analysis of data associated with sales:
Sales and
Marketing
D.1 Robo - Advisory
D.2 Algorithmic Trading
D.3 Fraud Detection
D.4 Loan / Insurance
Underwriting
D.1.1 Robo-advisors algorithms to calibrate financial portfolio
D.2.1 Use of complex AI systems to make extremely fast trading decisions
D.3.1 Detect unique activities/ behaviors (“anomalies”) and flag them
D.4.1 Analysis of underlying trends through algorithms influence lending
Finance
https://appliedai.com/operations/use-cases/1 ; https://www.techemergence.com/machine-learning-in-finance/
C
D
a. Sync calendar
b. Address book
c. Emails
d. Phone calls
e. Messages through CRM
systems

1. Legion Technologies
2. Ubisend
1. BetterWorks
2. Reflektive
3. vPhrase analytics
solutions
AI in Workplace Areas – Use Cases
Use-Cases Description
B1
A. Designed to automate the recruiting workflow,
especially repetitive, high-volume tasks.
B. Improving quality of hire through standardized
job matching
C. AI-powered chatbots to improve the candidate
experience.
Automated Hiring
A.1
A. Assessment can happen in real-time with
incentives for good performance rewarded
immediately
B. Valuable insight into the performance of each
employee individually
C. Better acceptance among employees about
feedback (since based on data)
Performance
management
HR Retention
Management
A. Increasing efficiency, adoption of metrics
and improving compliance
B. Drivers of productivity, economic growth to
create economic surpluses and increase societal
prosperity
Digital assistant
Benefits
A. Employee/candidate
satisfaction
B. Effective management of
employees
C. Improvement in
Employee retention
A. Improved employee
satisfaction
B. Better employee retention
Top Vendors
1. Entelo
2. Ideal
3. Jobvite
https://ideal.com/ai-recruiting/, http://www.digitalistmag.com/future-of-work/2018/04/10/ai-cracks-employee-retention-code-for-small-midsize-businesses-
06064626, https://www.forbes.com/sites/adigaskell/2018/02/08/can-ai-help-with-performance-management/#11f456232bfc
A. Employees satisfaction
B. Effective management of
employee performance
C. Improvement in
employee motivation
A. AI technologies embedded in employee
feedback tools automatically channel concerns
to the HR team with right emotional
background, expertise and leadership role
B. Real-time counseling relevant and matches the
perceived gravity of the situation in tone, word
use and urgency
1. Recast.AI
2. Julie Desk
3. Pat Inc.
A. Emotional Intelligence
B. Cognitive Flexibility
A.2
A.3
A.4
HR

A. Streamlining procurement related tasks
through automation and augmentation of
chabot capability
B. Revolutionize agility and optimization of supply
chain decision-making.
C.
A. Process optimization: pinpointing daily
inefficiencies and eliminating them
B. Yield-energy throughput (YET) analytics help to
increase yields and reduce energy use
C. Profit-per-hour (PPH) maximization analytics
help to define optimal setup points
1. Flutura Business Solutions
2. RapidMiner
3. Cisco
AI in Workplace Areas – Use Cases
B2
A. Low value added tasks are automated and
employees focus on higher value added tasks
B. Increasing speed of/reducing errors in
customer-facing processes
C. Increase employee satisfaction as tedious
manual tasks are automated
Robotic Process
Automation (RPA)
Predictive
maintenance
Manufacturing
Analytics
Inventory & supply
chain optimization
Benefits
A. Improvement in
Customer service
effectiveness
B. Improvement in
Operational costs
Top Vendors
https://ideal.com/ai-recruiting/, http://www.digitalistmag.com/future-of-work/2018/04/10/ai-cracks-employee-retention-code-for-small-midsize-businesses-
06064626, https://www.forbes.com/sites/adigaskell/2018/02/08/can-ai-help-with-performance-management/#11f456232bfc
1. UiPath
2. MotionsCloud
3. WorkFusion
A. Improved rhythm and continuity of productive
activities
B. Increased productivity of workers both directly
related to the machines in question and those
who depend on their success
C. Preventing unplanned downtime due to
unexpected failure and the subsequent
economic loss
A. Better machine uptime
B. Reduction in
maintenance costs
C. Increased productivity
A. Increased manufacturing
effectiveness
B. Improvement in
maintenance costs
C. Continuous
improvement
1. Datapine
2. 5Analytics
3. Sight Machine
A. Improvement in supply
chain costs
1. Orbital Insight
2. GreyOrange
3. CommonSense Robotics
B.1
B.2
B.3
B.4
Operations

A. Supply chain costs
A. B2C sales
B. Cash Flow
C. Engagement and
conversion
D. Return on Marketing
Investment (ROMI)
1. Salesforce
2. BloomReach
3. ViSenze
AI in Workplace – Use Cases
B3
A. Integration of technology into physical world
creating new consumer interactions
B. Pulling data from varied sources into coherent,
insightful, written reports for humans to use for
decision-making.
C. Optimizing timing of ads run, calibrating in real
time for lowest-priced clicks or lead conversions
Customer
Retargeting
Recommendation
engine
Predictive sales /
Sales Forecasting
A. Streamlining procurement related tasks through
automation and augmentation of Chabot
capability
B. Revolutionize agility and optimization of supply
chain decision-making
Sales data input
automation
Benefits
A. Cash Flow
B. Return on Marketing
Investment (ROMI)
Top Vendors
https://medium.com/@humansforai/recommendation-engines-e431b6b6b446
1. Criteo
2. Dynamic Yield
3. Drawbridge
A. Coming up with thousands of permutations of
ad copy or ad images for a campaign
B. Great tool for filtering and ensure consumer gets
to see data that is relevant for his taste, his style
and preferences
C. System should be able to continuously learn and
adapt itself flexibly to new user behavior
1. Trifacta
2. Spiro Technologies
3. Salesflare
Sales & Marketing
C.1
C.2
C.3
C.4
A. B2C sales
B. Cash Flow
C. Engagement and
conversion
D. Return on Marketing
Investment (ROMI)
1. Inside Sales
2. Lattice
3. Relatas – Sales AI
A. Machine learning algorithms and big data
systems that learn and replicate what is working
for different business and sales approaches.
B. Integration of CRM systems, marketing
automation platforms and internal business
information from a wide variety of data sources

A. Improvement in operational
costs
A. Improves trading income 1. Ayasdi
2. Data Robot
3. Narrative Science
4. Versive
AI in Workplace – Use Cases
B4
A. AI chatbot and mobile app assistant
applications to monitor personal finances
B. This helps people manage money, track
expenses, analyze spending, make payments,
and more
C. It has self-service tools to customize &
continually improve consumer experiences
Robo Advisory
Algorithmic
Trading / Financial
Analytics Platform
Fraud Detection
A. This leverages machine learning to quote
optimal prices, manage claims effectively and
improve customer satisfaction while reducing
costs
Loan / Insurance
Underwriting
Benefits
A. Improvement in
operational costs (users)
Top Vendors
https://medium.com/@humansforai/recommendation-engines-e431b6b6b446
1. Personetics
2. Kasisto
3. Cleo
4. Clarity Money
A. This leverages machine learning, Natural
Language Processing and other AI techniques for
financial analysis, algorithmic trading and other
investment strategies or tools
1. MotionsCloud
2. Paxata
3. Tractable
4. Cape Analytics
FinTech
D.1
D.2
D.3
D.4
A. Improvement in
operational costs
B. Reduces probability of
fraud
1. Trifacta
2. Sift Science
3. Onfido
4. RavenPack
A. This leverages machine learning to detect
fraudulent and abnormal financial behavior,
and/or use AI to improve general regulatory
compliance matters and workflows

Products and Services
Top Vendors for AI deployment in HRC1
https://www.entelo.com/
Automated Hiring
(1 of 3)
Clients
Vendor Profile
Entelo Envoy
• Envoy automates the tedious and time-consuming
tasks associated with sourcing.
• Envoy surfaces those who are the best fit for an
open role – and most importantly, interested in the
advertised opportunity – and delivers them directly
to corporate inbox
Entelo Diversity
• Entelo Diversity allows companies of all sizes to
reap the benefits of building strong, diverse teams.
Entelo Platform
• Entelo’s smart and powerful search engine allows
to hone in on best-fit talent more quickly.
• Entelo analyzes hundreds of variables to predict
which candidates to engage while also arming with
actionable and data-driven advice to optimize
outreach
• Entelo analyzes dozens of variables to predict
candidates’ receptiveness to new opportunities
• Based out of San
Francisco, CA
• $ 20 Mn Series C
funding received in
Aug, 2017
• 600 organizations
whose talent teams
are already using
the Entelo platform
• Proprietary
algorithms, artificial
intelligence, and
end-to-end
automation speed
up candidate
discovery and
qualification
processes and
continually float
best-fit candidates

https://ideal.com/product/
Clients/Integrations
Vendor Profile
Candidate Screening
• Screen candidates automatically, in real-time, with
incredible accuracy.
• Ideal’s software go beyond simple keyword
matches identifying the most qualified candidates,
instantly
Recruiter Chatbot
• Engage with candidates at scale, 24/7 thereby
drastically increasing response rates and eliminate
initial screening calls.
Candidate Rediscovery
• Use AI to scour existing applicant pool for top
candidates, optimizing talent pool in seconds.
Seamless Integration
• Ideal seamlessly integrates with your existing
recruiting tools. Keeps all your recruiting tasks in
one place, with one simple interface.
• Ideal does not change your recruiters’ existing
workflow. No new tools to master, no new logins to
remember
• Based out of
Toronto, Ontario
• $ 3 Mn Series A
funding received in
Aug, 2017
• Intelligent screening
software automates
resume screening
by using AI on the
existing resume
database
• Connect with
databases such as
CareerBuilder to
automatically
source top
candidates and
bring them directly
into your ATS.
Automated Hiring
(2 of 3)

https://www.jobvite.com/products/#thejobviteplatform
Clients
Vendor Profile
Jobvite Hire
• Applicant tracking system streamlining hiring
processes, from job distribution, to screening, to
interviewing, to sending out an offer
Jobvite Engage
• A complete CRM/Recruitment Marketing solution
that build talent pools of qualified passive candidates
Jobvite Onboard
• Gives new hires onboarding experience, while helping
the organization reduce administrative costs, manage
compliance, and improve time-to-productivity.
Jobvite Brand
• Enables company to build and execute trustworthy
employer brand via premium career site that keeps
organization top-of-mind with both active and passive
candidates.
Jobvite Video
• On-demand video screening tool that accelerates,
enhances, and builds consistency in the process.
Mobile Hiring Team App
• Provides space for interview teams to communicate
openly, get to interviews on time, and weed out
unqualified candidates
Mateo, CA
• $ 30 Mn Series D
funding received in
June, 2017
• End-to-End Solution
that Addresses
Every Stage of the
Recruiting Funnel
• Jobvite Platform
spans the entire
recruiting platform–
from tip to tail–
making a recruiting
software in the
industry that was
purpose-built on
one, unified
solution.
Automated Hiring
(3 of 3)

https://www.betterworks.com/product/
Clients
Vendor Profile
• Based out of
Redwood city,
California
• $ 20 Mn Series B
funding received in
June, 2017
• Voted the Best
Human Resources
• Product of 2017
• The BetterWorks
mobile app puts
the user in control
of performance
management
process, at any
time of the day.
The continuous performance management suite
integrates the following features:
Goals
• BetterWorks provides sophisticated goal setting,
tracking and management software to keep
employees aligned, efficient and focused
Conversations
• No Continuous Performance Management process is
complete without ongoing manager-employee
conversations to get aligned, discuss goal progress
and drive professional development and growth.
Peer Feedback
• Receive peer feedback from right people at the right
time. When employees give and receive lightweight
feedback throughout the year, they’re more likely to
succeed at work.
Recognition
• BetterWorks helps build a culture of positive
reinforcement and highlight cross-functional
collaboration, where employees can publicly
recognize each other for their achievements.
Performance
management (1 of 3)

https://www.reflektive.com/
Clients
Vendor Profile
The continuous performance management platform
from Reflektive has the following features:
Real-Time Feedback
• This enables managers to save feedback right from
email, review and share notes with employees
through a 1x1 agenda, and save private feedback
for later conversations
Performance Review
• Full 360° feedback, and lightweight goal check-ins.
• Customize question types and anonymity settings
• Easy integration with HRIS technologies like
Workday and BambooHR
Goal Management
• Project management approach to goal tracking
• Goals can be public or private depending on
project or employee preference
• Pull goal reports to foster team collaboration and
help employees identify and focus on what
matters by providing visibility into company goals
Performance
management (2 of 3)
Francisco,
California
• $ 60 Mn Series C
funding received in
Feb, 2018
• Voted the Best
Human Resources
• Product of 2017
• The BetterWorks
mobile app puts
the user in control
of performance
management
process, at any
time of the day.

https://www.vphrase.com/
Clients
Vendor Profile
Phrazor
• It is a Natural language generation platform that
makes the monthly performance reports more
meaningful and self-explanatory
• Phrazor will write a personalised performance
summary for each team member with focus on
how are they performing and what do they need
to do improve.
Their solution and use cases expand beyond
performance management. Some of the solutions
include:
• Customer Engagement
- Investment Portfolio Analysis
- Stock Research Reports
- Operation cost optimization report
• Compliance Reporting
- Breach Detection
• BI Reporting
- Supply Chain Efficiency
- Vendor Rationalization Report
Performance
management (3 of 3)
• Based out of
Mumbai, India
• Series A funding
received in June,
2017
• vPhrase won the
Temenos
Innovation Jam in
Hong Kong
• vPhrase got
selected as one of
top 50 most
innovative
emerging IT
product companies
by NASSCOM.

https://angel.co/legion-technologies
Clients
Vendor Profile
Legion Platform
• It is a workforce engagement platform that applies
artificial intelligence and machine learning to
accurately forecast demand and automatically
match employees to work. Legion integrates with
major traffic counters, point of sales, and HR
solutions to enable a streamlined experience
Forecasting
Legion takes forecast building back to the demand
drivers, like past sales, store traffic, seasonality,
weather, and more.
• Fully automated forecasts that can make use of—
and learn from—thousands of data points
• Our guidance automatically factors in your unique
staffing policies and local labor law regulations
• Build location-, team-, and item-specific forecasts,
because granularity makes the difference
Automate matching & workforce scheduling
• Legion’s matching helps overcome the current
challenges with scheduling by matching business
needs with your employee’s skill, preference, and
performance
Retention
management (1 of 1)
• Based out of
Redwood City,
California
• $10.5 Million
Series A funding
received in Sep,
2017

https://recast.ai/
Clients
Vendor Profile
Platform
• Bot Builder
- Bot Skills manage everyway a conversation can
go, without any setup. They allow for:
• Memorise user context
• Guide the user to the end
• Handle all possible paths
• Bot Analytics
- This helps improve bot understanding by
analyzing its classification, data diversity and
coherence.
- Track the evolution in time and measure the
learning curve.
• Bot Connector
- This helps connect the bot through one API to
all the channels your users use everyday.
- Reach out to target audience through whatever
channel – Facebook, Slack, WeChat, kik, Line,
Telegram, Skype
Digital Assistant
(1 of 1)
• Based out of Paris,
Ile-de-France,
France
• $3.5 Million Series
A funding received
in Sep, 2017
• Acquired by SAP in
Jan, 2018
• 45 000+ bots built
with Recast.AI
• 20 000+ Recast.AI
bot makers

Top Vendors for AI deployment in OperationsC5
https://www.uipath.com/
Clients
Vendor Profile
UI Path Robot – They uniquely specializes in both
human-led and robot-led automation scenarios
• Attended automation
- This Robot is designed to cooperate with
employees in business activities where human
intervention is required.
- It resides on the employee's workstation,
triggered when needed by direct command.
- A discreet collaborator, it acts in the background
while the staff continues with uninterrupted
work, delivering high productivity and low
handling times in service desk, helpdesk, and
call centre activities
• Unattended Automation
- Operating without human touch, the
Unattended Robots are the key to maximized
cost and performance benefits for any variety of
back-office activities.
- Provisioned on the Orchestrator from either
physical or virtual environments, they can be
scheduled to self-start and run efficiently in
batch mode. Access them remotely, with
scheduling, workload management, reporting,
auditing and monitoring all securely centralized.
Robotic Process
Automation (1 of 1)
• Based out of New
York, US
• Offices in London,
Paris, Bucharest,
Tokyo, Singapore,
Bengaluru,
Munich, Dubai,
Wahington,
Houston, San Jose
and Seattle
• $135 Million Series
A funding received
in March, 2018 by
Accel Partners

https://www.flutura.com/
Clients
Vendor Profile
Predictive
Maintenance (1 of 1)
• Based out of
Bengaluru, India
• Offices in Houston
and Tokyo
• $7.5 Million Series
A funding received
in Jan, 2017 by
Accel Partners
Cerebra Connected Assets – This IoT based solution
allows OEMs to drastically reduce maintenance costs
by ensuring the following:
• Continuous asset assessment
• Continuous asset diagnostics and prognostics
• Edge computing and intelligence
Cerebra Connected Operations – This IoT based
solution allows operators to improve yield and
quality of products and cut down the cost of quality
and wastage. Some of the key features are:
• Automated economic loss estimation,
performance bench marking and baseline
generation
• Ability to machine learn new signals from billions
of machine events
• Advanced diagnostics algorithms for equipment
health episode detection
• Asset centric grey box models - engineering +
statistics + heuristics based machine learning

https://www.datapine.com/
Clients
Vendor Profile
Manufacturing
Analytics (1 of 1)
• Based out Berlin,
Germany
• $3 Million Series A
funding received in
Sep, 2015
• Funding partners
include
TigerGroup, Axel
springer ,
ATKearney,
Rogator, Evalanche
Datapine’s manufacturing analytics software allows
the nuances of this data to be harnessed and
translated it into meaningful information that can
then be used to improve all aspects of the process, at
any scale.
There are several KPIs that the company helps
monitor continuously:
1. Production dashboard
• Production
Volume
• Production
Downtime
• Production Cost
2. Production Quality Dashboard
• Defect Density • Rate of Return • Right First Time
3. Cost Management Dashboard
• Asset Turnover
• Unit Costs
• Return on Asset
• Maintenance Costs

https://www.greyorange.com/
Clients
Vendor Profile
Inventory and Supply
Chain optimization (1 of 1)
• Based out
Gurgaon, India
• $30 Million Series
A funding received
in Sep, 2015
• Funding partners
include Blume
partners and Tiger
Global with
Mitsubishi as one
of the key clients
and investors
Grey Orange products include 2 types of Systems:
1. Goods to Persons system
a. Butler (Decision Science Driven Goods-to-
Person System) - an advanced autonomous
mobile robot for automated put-away, inventory
storage, replenishment and order picking in
fulfilment and distribution centers
b.Butler PickPal (Autonomous Fulfillment For E-
Commerce Warehouses) - This robotic picking
can pick, process, consolidate, and prepare
orders in warehouses
2. Sortation Systems
a. Sorter (Flexible and Scalable Sortation System) -
It routes parcels or packages based on industry,
defined sortation logics such as destination,
volume, weight or any other custom logic based
on your business dynamics
b.Pick-Put-To-Light (Directs Picking, Put-away and
Sorting Processes) – It is a proprietary
technology of GreyOrange that improves
operator’s productivity and enhances efficiency.
It helps operator minimize errors, speed up the
cycle and improve order processing accuracy

Top Vendors for AI deployment in Sales and MarketingC9
https://www.criteo.com/
Clients
Vendor Profile
Customer Retargeting
(1 of 1)
• Based out of New
York, US with 30+
offices across 14
countries
• Founded in 2005
• IPO valuation – $
1.7 Billion
• Investors include
Softbank, Index
Ventures and Elaia
partners
• Criteo helps marketing companies Re-engage
shoppers throughout their path to purchase with
tailored video and display ads, delivered across the
world’s best publishers, and designed for
measurable performance
• This is used by 18,000 marketers worldwide, Criteo
Dynamic Retargeting utilizes machine learning to
serve up the most relevant ads in real time
• Their solutions include:
1. App Advertising
• It delivers personalized, relevant ads that
strike balance between brand-inspired design
& ad performance
• It is Continuously learning from 1.4 billion
shoppers a month
• It entices each user with dynamic mobile ads
from entire product catalog — all optimized in
real time for individual purchase intent
2. Dynamic Retargeting for Facebook & Instagram
• It helps gain granular understanding of each
shopper's complete web journey and real-
time purchase intent, from mobile and in-app
to desktop

https://www.bloomreach.com/en
Clients
Vendor Profile
Recommendation Engine
(1 of 1)
Francisco,
California
• Total Funding till
series D is $ 97
Million
Bain Capital,
Lightspeed
ventures,
Salesforce, Battery
Ventures
• Acquired 2
companies – Hippo
and ShopLogic
Personalized Search
• Recommendation engine of Bloom Reach provides
Personalized search powered by algorithmic
intelligence and optimization tools
• Their advanced ranking algorithms optimize results
for 1:1 personalization, combining each customer’s
search behaviour and browsing patterns with
natural language processing (NLP)
• It stays relevant even as customer language
changes, dynamically capturing customer intent
and reducing the work required by manual rules
Merchandizing Analytics
• He helps understand what customers are searching
for, and what prevents them from converting on
• Insights focussed on improving site search,
navigation, and product grids to get more
customers to convert
• Built-in impact tracking demonstrates the revenue
and engagement effects that any changes create

https://relatas.com/
Clients
Vendor Profile
Predictive Sales
(1 of 1)
Francisco and
Bangalore
Sequoia capital and
LetsVenture
• Currently in Beta
• Won the Google
Developers
Launchpad award
• Top tech 30 Spark,
2014
• Relatas prioritizes a sales professionals’ contacts
and optimizes all accounts and lets know what
needs immediate attention
• It informs which contacts need immediate
attention and suggests ways to get in touch with
them
• It prioritizes accounts at risk and provides insights
on how to engage with them
• It helps generate new leads based on existing
relationships
• It integrates seamlessly with Google or outlook
mail and calendars
• It integrates with android phone to seamlessly
integrate with calls and SMS
• It brings the social insights of contacts in a
snapshot
• It provides real-time details of contacts at any
given time – interaction history, common
connections
• It gives actionable insights to surface the data that
matters most
• It captures all the right signals and shows them at
the opportune time

https://www.trifacta.com/
Clients
Vendor Profile
Sales Data Automation
(1 of 1)
Francisco,
California
• Total funding
received till series
D is $ 124.3 million
Google, Accel
Partners, Ericsson
Ventures, Ignition
Partners, Greylock
Partners, Ridge
Ventures
Data Onboarding
• Data onboarding is an iterative process of
combining unfamiliar data from disparate data
sources, both internal and external to an
organization into a consistent view to fuel data-
driven solutions.
Customer 360
• Companies can segment large quantities of
customer data—all from various channels and
applications—into unique customer profiles,
gaining a more accurate understanding of their
consumer base.
• Some of the use cases applicables are:
‒ Predictive Churn
‒ Improvement in Customer service ratings
‒ Improvement in Market Channel Effectiveness
‒ Improvement in Loyalty with Personalized
recommendation

Top Vendors for AI deployment in Fin TechC13
https://personetics.com/
Clients
Vendor Profile
Robo Advisory
(1 of 1)
• Based out of White
Plains, New York
• Total funding
B is $ 18 million
Sequoia Capital,
Viola Ventures,
Lightspeed
ventures
Cognitive Banking
• Cognitive Banking brings together Artificial
Intelligence, Predictive Analytics, Natural Language
Understanding, and Machine Learning
• Delivers an engaging customer experience,
reducing friction and cost, and increase in share of
wallet with innovative new products and services.
Personetics Engage
• It provides timely and useful insights that keep
customers informed and help them stay on top of
their financial affairs
• Using real-time predictive analytics to empower
customers, banks can re-establish themselves as
trusted partners to the consumer
Personetics Act – Autonomous Money Management
• Financial institutions can offer automated money
management programs that are tailored to each
individual and self-adjusting to changes in
spending patterns
Personetics Assist - Conversational Self-Service for
Financial Services

https://datarobot.com/
Clients
Vendor Profile
Financial Analytics
Platforms (1 of 1)
• Based out of
Greater Boston
area, US
• Total funding
C is $ 111.4 million
• Intel Capital,
Accomplice, Plug
and Play, New York
Life Insurance, IA
Ventures
• DataRobot captures the knowledge, experience,
and best practices of the world’s leading data
scientists, delivering unmatched levels of
automation and ease-of-use for machine learning
initiatives.
• DataRobot enables Fintech users and companies to
build and deploy highly accurate machine learning
models in a fraction of the time.
• It has solutions across different verticals of the
finance industry:
‒ Payments
‒ Digital Wealth
‒ Blockchain transactions
‒ Direct Marketing
• Some of the other industries it specializes in:
‒ Insurance
‒ Banking
‒ Energy
‒ Healtcare
‒ Public Sector

https://siftscience.com/
Clients
Vendor Profile
Fraud Detection
(1 of 1)
Francisco Bay area,
US
• Total funding
D is $ 104.6 million
• Some of its
investors include
Spark Capital,
Insight ventures,
Stripes group, First
Round capital and
Union Square
ventures
• 12,000+ clients
• Sift Science provides one intelligent solution for
different types of Fraud
• It is a first-of-its-kind machine learning approach
that accurately predicted fraud and defended
against online abuse in real time.
• The Sift Science Digital Trust Platform hosts a full
suite of fraud prevention products that mitigate
every vector of fraud and abuse, and quickly and
effortlessly integrate into existing workflows and
systems
• Some of the Use Cases it is capable of handling
are:
‒ Account Takeover
‒ Payment Fraud
‒ Content Abuse
‒ Promo Abuse
‒ Account Abuse
‒ Mobile Fraud Detection

https://www.paxata.com
Clients
Vendor Profile
Loan and insurance
(1 of 1)
Francisco Bay Area,
US
• Total funding
D is $ 61 million
• Some the investors
include Accenture,
EDBI, Intel Capital,
CISCO, Accel
partners, M12, and
Walden Riverwood
Paxata is the first Adaptive Data Preparation platform
built for the analyst to turn raw data into ready data
for analytics
Paxata adaptive information platform
• Provision data for modern data-intensive business
applications with a functionally and technically
unified platform for data integration, quality,
enrichment, governance, and collaboration
• Paxata addresses the most time consuming part of
data quality projects by providing an intuitive,
visual and interactive application for business
users to onboard, profile, and create quality
information
• It helps in bringing together multi-structured data
from diverse sources, preparing data, and
combining additional data to provide more context

Solution
Companies that deployed AI based solutionD1
https://www.entelo.com/wp-content/uploads/2017/09/HubSpot_case_study.pdf
Impact
Corporate Profile
• Using Entelo, team gets the information they
need to personalize their outreach, all in one
place.
• Entelo’s software provides HubSpot with access
to millions of candidates, complete with their
social footprints all in a single interface.
• Entelo also allows HubSpot’s team to source
candidates from underrepresented groups right
within the platform.
• Entelo has enabled recruiters to find, qualify and
engage with a diverse talent pool in more
efficient ways and has enabled HubSpot to
develop more sophisticated and scalable
recruiting practices.
• HubSpot’s talent acquisition team recruited the
right people using a personalized approach
through Entelo.
HR (1 of 4)
• Headquartered in
Cambridge, MA
• Developer and
marketer of
software products
Company Size
Pain Points
• Gathering
candidate
information-manual,
time-consuming
• Engagement of
passive candidates
through cold
outreach
• Sourcing candidates
and maintaining
strong pipeline
• Save time using Entelo’s rich database of
social profiles.
• Boost candidate response rates by double-
digit percent using Entelo’s email analytics
solution.
• Effective email outreach with response
rates on email having gone up double-digit
percents relative to a traditional messaging
system.
• Increase pipeline of underrepresented
groups using Entelo Diversity.
Up-to 1000 employees

Solution
https://ideal.com/customer/ideal-image-medspa/
Impact
Corporate Profile
• Ideal and Ideal Image established three priorities
for implementing recruitment automation:
- Screen every single candidate, regardless of
volume
- Reduce candidate wait times
- Increase recruiter’s bandwidth by reducing
unnecessary interviews
• Ideal was able to fulfill three technical
requirements
- Ability to handle massive amounts of existing and
future resume data
- Compliant with all corporate security, data
management and privacy requirements
- Full integration with their applicant tracking
system, iCIMS
• Ideal worked behind the scenes within iCIMS and
doesn’t require recruiters to switch systems or
change their existing workflow.
HR (2 of 4)
Tampa, FL
• largest MedSpa in
North America
Company Size
Pain Points
• Ideal Image reached
out for a technology
that could assist their
recruiters at scale.
• Ideal Image’s
employer brand was
bringing in number of
applicants for every
single job at over 130
locations and the
number of resumes
became
insurmountable
• Ideal Image now uses AI to screen and
shortlist candidates within minutes after
they apply.
• By identifying top talent for recruiters,
they are able to eliminate manual resume
screening and reach top candidates within
two business days.
• Ideal Image has been able to drastically
reduce their time to fill and lower their
overall cost per hire.
• Ideal Image achieved 100% screen rate,
with all candidates graded A to C
• Recruiters could contact the most qualified
candidates within 48 hours
• Ideal Image experienced a 30% reduction
in interviews for the same number of great
hires
260 employees

Solution
https://content.betterworks.com/betterworks-case-studies/case-study-schneider
Impact
Corporate Profile
• Schneider Electric chose OKRs and BetterWorks
because the methodology and the platform simply
made sense for as a way to align and better deploy
goals.
• Schneider Electric builds a bridge to global
alignment with BetterWorks
• BetterWorks provided enterprise software to
manage strategic plans, collaborative goals and
ongoing performance conversations.
• Its Business Operating System is built on Goal
Science insights and operational research to help
high-performing companies execute more
effectively.
HR (3 of 4)
Rueil-Malmaison, FR
• Global specialist in
energy management
and automation
Company Size
150,000-200,000
employees
Pain Points
• Aligning 185,000
people across
businesses in 160
countries with
common goals and
vision
• Need for new
platform and
approach to help
execute strategy for
transformations and
corporate objectives
• Cultural shift to complete openness of
OKRs and performance throughout the
organization helping improve
communication and awareness of work
across groups
• Visibility of goals at all levels of the
company helping every employee
understand exactly how their work
contributes to the organization’s overall
success
• Users enjoy transparency and alignment
that BetterWorks provides and enjoy the
interactive nature of the platform as a
contrast to more formal, traditional
corporate work environment

Solution
https://medium.com/@sanish_64220/introducing-legion-the-intelligent-workforce-engagement-platform-2b0150f4118
Impact
Corporate Profile
• Matching work needed to be done to the best-
suited employee who wants it and doing so in a fair,
compliant, and efficient manner.
• Used advanced machine learning to accurately
predict how much work needs to be done, by what
roles and skills.
• Legion uses AI to automatically match forecasts to
the best employees based on a wide variety of
factors such as employee preference and skill,
productivity, and labor compliance policies.
San Francisco, CA
• Retails and markets
coffee products
Pain Points
• Retaining &
engaging
millennial
workforce seeking
gig-like flexibility,
modern
technology
• Lack of flexible &
efficient labor
model supporting
innovations
needed in
industries to
better serve
customers today.
• Real-time awareness of staffing needs and
employee availability, leading to
optimization for business and Philz
community.
• Power to control when, where, and how
much team members work, and store
leaders automate behind-the-scenes
operations so as to spend more time
focusing on their people — customers and
business growth.
• Better serve team and customers
positioning Philz Coffee as a leader in
shaping retail workforce management
• With new technology, one step closer to
vision of a true Community Workforce.
Company Size
1000+ employees
HR (4 of 4)

Solution
https://www.uipath.com/hubfs/New%20Website%20/Case%20Studies%20Homepage/insurance%20case%20study%20website%20.pdf?hsLang=en&t=1
528235159612
Impact
Corporate Profile
• UiPath Robot automatically performs data
extraction from the bank statements from all clients
and comparison with the accounting system (BIS
Ledger / Cockpit), ensuring that balances are
accurate and matching. Once reconciled, the
information is updated in the system.
• Solution Seven UiPath robots were designed and
bundled to support the claims value chain,
automating 35-40% of the process.
• Vendor payments by property insurers were also
automated delivering a productivity improved by
70%, reduced processing times and converted
service levels to 24/7 operations
• Non-recommended hire adjudication Challenge The
Claims' unit of a large auto insurer dealt with a
process of operating in an offshore environment,
which required Citrix based automation to evaluate
whether the claims should be extended, taken off
hire or closed, and identify whether there are any
potential customer complaints.
Operations (1 of 4)
New York, NY
• Provides
reinsurance services
Pain Points
• Underwriting and
new business
financial
transactions to be
automated.
• Bank statements
were compared
manually with the
accounting system,
which was tedious
and time consuming
• With automation, GR achieved 100%
processing accuracy, completely
eliminating human error.
• With the quality and speed of processing
improved, an 80 % TAT (Turnaround time)
Reduction was achieved, with ¼ FTES saved
from the process.
• Productivity increased by 68%, accuracy
levels were enhanced by 95% and the
overall compliance with regulatory
requirements was improved.
• Robots brought over 65% improvement in
average handling time, 50% improvement
in productivity, standardizing and
replicating the process across 44 global
claims centers in the organization.
Company Size
51-200 employees

Solution
https://appliedai.com/vendor/flutura-solutions; https://www.forbes.com/sites/sumitchakraberty/2016/10/12/why-henkel-dragon-plant-in-china-is-
using-indian-iot-product-flutura/2/#669cbb46948f
Impact
Corporate Profile
• Cerebra analyzed quality to see what’s impacting it.
Then started predicting the quality. And the final
step is for Cerebra to influence the quality in real
time.
• Cerebra IOT signal intelligence platform ingested 3
years of sensor data regarding plant operations
from temperature sensors, rpm sensors, torque
sensors and pressure sensors which were strapped
on to industrial mixers. Cerebra’s ensemble models
used to filter signal from noise and specifically
identify the contributors to quality.
• Process was scaled to 33 plants, 1400
manufacturing lines and 16 event types
cumulatively streamed in 20 million sensor events
analyzed.
• Transform the way quality is managed in making
adhesives for clients like Bombardier, which uses a
metal bonding glue for its aircraft wings.
Dusseldorf, Germany
• Manufacturers of
adhesives
Pain Points
• To increase quality
and yield of factory
lines by controlling 2
levers - viscosity and
softening points.
• More than 140 million dollars of savings
from defective products across 3 years.
• ‘Scale-as-you-go’ pricing model from
Flutura helps customers to start small with
valuable pilots and then scale the solution.
• Faster adoption and implementation,
which is becoming vital for equipment
manufacturers as they race to adapt and
get smart.
Company Size
53000 employees
Operations (2 of 4)

Solution
https://www.datapine.com/customer-success-stories/kreditech
Impact
Corporate Profile
• Kreditech uses datapine to increase efficiency of
internal reporting processes across organization.
Now all decision makers have quick, easy access to
ad hoc analysis, KPI dashboards and reports.
• Setting up automated reporting processes with
datapine, reduced time spent on reporting
activities
• User access rights combined with visualization and
sharing options increased the transparency of
internal decision making process considerably.
• Provided quick implementation time, fast, in depth
analysis of huge amounts of data, maximum level of
data security and privacy scalable, stable
infrastructure
Hamburg, Germany
• Online consumer
finance company
Pain Points
• Reduce involvement
of IT in daily analytical
processes
• Decentralize decision
making and reduce
dependency on single
business intelligence
experts
• Combine multiple
internal and external
data sources
• Provide foundation
for strategic decisions
• Time spent on reporting activities by 40
hours per week. Between logging in for the
first time and obtaining the first results
based on data, it took less than 1 hour.
• All departments could access their own
real-time dashboards, no matter if they are
in the office or at a meeting. All decision
makers have quick, easy access to ad hoc
analysis and reports, also on their tablets.
Company Size
300 employees
Operations (3 of 4)

Company Size
40000+ employees
Solution
https://www.greyorange.com/omni-channel-warehouse-automation.php
Impact
Corporate Profile
• The GreyOrange Butler solution was able to help
the customer fulfill twice more volume of orders
while reducing the operating expenses.
• Unified order picking and consolidation model.
Reduced dock to stock time and DOH inventory at
client's stores
• Configured warehouse operations for scalability
with increase in number of stores
• Reduce space and time required for consolidation
of store fulfillment orders
• Optimize shipment process to reduce high dock to
stock time in retail stores
Santiago, Chile
• Home improvement
warehouse store
chain
Pain Points
• Manage complex
omni channel
fulfillment with
growing share of
online orders
• Optimize warehouse
for handling multiple
inventory load units
to increase
throughput
• Handle wider range of
SKUs across variety of
dimensions & fragility
• The customer was able to adapt to
evolving Omni channel processes using the
solution
• Capacity increase within the warehouse
leading to Capex avoidance. Besides, there
were opex savings and space optimizations
• Reduced waste, increased efficiency with
24/7 operations and up to 99% availability.
• Empowers workforce, improves speed and
accuracy.
Operations (4 of 4)

Solution
https://www.criteo.com/success-stories/microsoft-surface-pro-4/
Impact
Corporate Profile
• Criteo Sponsored Products network presented
easily measurable way to increase product visibility
and sales across a range of sites including Fnac,
Darty and Rue du Commerce.
• Criteo Sponsored Products appear as native listings
relevant to shopper and products they’re seeking.
• Sponsored Listings ads for the Surface Pro 4
appeared within search results for laptops or
tablets, in those product categories and also at the
highest levels of these sites to drive increased
awareness.
Sales and Marketing
(1 of 4)
Redmond, WA
• Information
technology company
Pain Points
• Need to drive sales
of Surface Pro 4
without sacrificing
profitability.
• In a category with
heavy
commoditization,
extensive product
comparison & many
brands competing on
price, Microsoft
needed a tactic to
ensure the top-of-
the-line stood out.
• Campaign demonstrated strong
incrementality, gaining share from
competitors: 15% of sales completed
based on ads displayed on the retail site
search results where generic keywords
such as “laptop” were searched.
• Furthermore, 22% of sales were generated
from ads displayed on the Homepage,
while delivering 13X Return on Ad Spend
(ROAS), due to optimal targeting of online
shoppers most likely to purchase
• Criteo was able to determine that
Sponsored Products ads increased share of
consideration (the percent of product page
views within this category) that Surface Pro
4 was able to achieve: share of
consideration increased 31% versus the
period prior to the campaign.
Company Size
1,24,000 employees

Solution
Companies that deployed AI based solution
http://go.bloomreach.com/rs/243-XLW-551/images/Staples_Commerce_Search_Case_Study.pdf
Impact
Corporate Profile
• BloomReach Search delivered revenue boost by
successfully managing tremendous increase in
product listings on Staples sites.
• BloomReach Search understood algorithmically what
customer means when he or she uses a certain
search term. The amount of manual rule writing to
make sure the right products come up in the right
order for the right person was dramatically reduced.
• BloomReach Search delivered personalized search
and browse experiences for each of the shoppers and
intelligent merchandising tools for the team. A self-
learning site search tool, it’s designed to enhance the
customer experience with features such as dynamic
facets, visual search and descriptive autosuggest,
while streamlining workflow.
Framingham, MA
• Office supply retailing
corporation
Pain Points
• The company
needed to automate
some of the work
involved in surfacing
the relevant
products that Staples
customers were
searching for.
• Staples also wanted
to get away from an
outdated enterprise
software model
• BloomReach Search provided an overall
incremental lift in revenue per visit of 3.5%
across its North American e-commerce sites.
That translates into an annual revenue
increase of more than $100 million.
• Staples onsite search team has a better
balance of human and machine. Now, team
can focus on more advanced analytics, A/B
tests and user-experience projects that
promote retailer’s key initiatives, while
allowing the algorithms to manage
optimization effort of the entire assortment.
• 4.4% revenue per visit lift on Staples.com.
80% less time spent manually tuning sites by
onsite search team.
• Scaled SKU catalog 10x without adding to
onsite search team
Company Size
61,503 employees
Sales and Marketing
(2 of 4)D10

Solution
https://lattice.com/customers/birchbox/
Impact
Corporate Profile
• The Lattice customer success team ran video
conference employee training sessions and led
Birchbox’s team through multiple demos to learn the
system so that the team could answer questions, and
then.
• The Lattice review process gave employees a
structured experience that was easy to follow. The
system guides users through self-evaluations, peer
evaluations, and manager evaluations and provides
convenient access to past performance data that
helps with the review writing process.
• The senior manager imported employee data via CSV
spreadsheet and set up the Birchbox account.
New York city, NY
• Online monthly
subscription service
of beauty related
products
Pain Points
• Unwieldy
performance
management tool.
• Birchbox needed a
tool that could
serve a distributed
workforce.
• Superior ease-of-use cloud-based software
accessible from anywhere with responsive
customer support
• The People & Culture team started receiving
immediate positive feedback on the new
system
Company Size
150-200 Employees
Sales and Marketing
(3 of 4)D11

Solution
https://www.trifacta.com/customers/centers-for-medicare-medicaid-services/
Impact
Corporate Profile
• By integrating Trifacta’s data wrangling solution into
Leidos’ CAADS platform, data wrangling tasks that
normally took six weeks are now taking a day.
• Trifacta is helping CMS begin to chip away at the
billions lost each year from fraudulent claims.
• The Centers for Medicare & Medicaid Services (CMS)
sought out a means to sort quickly through claims
data and identify improper reporting before they are
paid.
Baltimore, MD
• Federal agency
within the US
Department of
Health and Human
Service
Pain Points
• In order to leverage
data efficiently,
analysts needed
common data
wrangling solution
• Trifacta’s self-service solution empowered
non-technical users to dramatically reduce
time spent cleaning and preparing data for
analysis.
• Better manage inventory and more
accurately forecast demand by leveraging
new data from sensors and devices.
• Reduction in time to curate big data sources
and provide managers with new avenues to
discover insights.
Company Size
4100 Employees
Sales and Marketing
(4 of 4)D12

Solution
https://siftscience.com/case-studies/zoosk/
Impact
Corporate Profile
• Sift enabled to make user buying experience more
friendly and frictionless allowing to provide a better
user experience.
• Sift Science's big data and real-time solution,
empowered fraud analysts with ever-updating
intelligence. By integrating Sift Science's findings via
Sift Score API into Zoosk's existing management
system, the team has more data and is more efficient.
• Zoosk was empowered with flexible and real-time
machine learning with direct integration into existing
fraud management system
San Francisco, CA
• Online dating service
Pain Points
• Payments and friendly
fraud on the site
• In-house solution
couldn't scale
• Zoosk streamlined their fraud management
workflow. With the fraud team's increasingly
efficient review process, Zoosk is able to
offer members better experience.
• Real time machine learning model enables
to get accurate data quickly, thus allowing to
make informed decisions in real time.
• Layering Sift Science on top of their other
tools helps Zoosk keep its focus on the best
ways for its users to connect and find great
dates.
Company Size
174 Employees
Fintech (1 of 4)D13

Solution
https://personetics.com/wp-content/uploads/2018/04/RBC_NOMI_Model_Bank_2018_Case_Study.pdf
Impact
Corporate Profile
• NOMI Insights provide personalized, timely and
relevant insights to help clients manage their day-to-
day finances on the go through the RBC Mobile app,
while NOMI Find & Save helps make saving simpler
for clients by using predictive technology to find
amounts of money clients can spare, and
automatically saving that money. NOMI uses a client’s
account activity to identify trends, unusual activity,
and potential savings opportunities.
Fintech (2 of 4)
Montreal, Canada
• Canadian
multinational
financial services
bank
Pain Points
• RBC wanted to help
clients easily manage
their money and
make savings
effortless.
• Successfully launch
NOMI Insights and
NOMI Find & Save
Initiative
- Client engagement with RBC mobile banking
app increased 20%
- Average time-in-app increased 6%
- More than 100 million insights read by
clients in the first five months
- Clients save 2x more regularly with NOMI
Find & Save than they do with traditional
savings products
Company Size
81,000 Employees
D14

Solution
https://3gp10c1vpy442j63me73gy3s-wpengine.netdna-ssl.com/wp-content/uploads/2017/07/Avant_Case_Study_with-cover_MLA.pdf
Impact
Corporate Profile
• Avant has deployed DataRobot to allow business
analysts to perform data science work via its easy-to-
use interface, empowering company to make larger
number of predictions – from likelihood of receiving
payments to marketing response to potential fraud –
faster.
• With DataRobot, Avant can quickly build models, do
analysis and evaluate new data sources, saving scarce
data scientists’ time. And direct access to DataRobot
APIs make it easy to integrate with Avant’s in-house
production system.
• DataRobot serves three primary functions:
- Establishing a rigorous, robust benchmark that
validates off-the-shelf solutions for a given data set
- Delivering fast and effective visualizations of new
data sets
- Quickly answering questions from product and
strategy teams so data scientists can spend most of
their time on valuable long-term development work
Chicago, IL
• Financial technology
industry
Pain Points
• Avant wants to scale
its business without
sacrificing the
quality or
sophistication of
analytics.
• Avant needed to find
a way to provide
analysts and
business users
access to data
science tools that
the business teams
could leverage
• By applying machine learning to its business,
Avant’s models and underwriting process
are much more in tune with how consumers
actually behave, making them more
accurate than traditional risk or propensity
models.
• With DataRobot, Avant’s data scientists are
more focused on doing work that
contributes to the business’ bottom line.
They more efficiently evaluate the impact of
new data sets on existing models, quickly
push new or updated models into
production and easily visualize the results of
those models. They’re no longer diverted by
doing exploratory research.
Company Size
468 Employees
Fintech (3 of 4)D15

Solution
https://www.paxata.com/wp-content/uploads/paxata-unilog-case-study.pdf
Impact
Corporate Profile
• Unilog selected Paxata as its solution of choice, based
on the following capabilities and features found in
Paxata:
• Ease of use: Excel-like interface to drive adoption
internally
• Speed: Ability to extract data from its database and
into the data prep tool quickly
• Licensing model based on data volume not number of
users
• Core capabilities: Shaping functions such as pivot and
de-pivot, filtergrams
• Immediately highlight missing values, and lookups for
reconciling
• Reporting view with raw transactions for a complete
view of parts, manufacturers, and performance levels
• Turnkey, fully-managed SaaS application running on
Amazon Web Services (AWS)
• Cloud-based software that allows all data analyses to
be shared between all members of team
Bengaluru, IN
• Global technology
company
Pain Points
• As the product data
grew to 3.5 million
SKUs, the group
reached Excel’s
limitations and
process became
unwieldy
• Combination of data
frequency and
numerous Excel files
required to divide
and analyze data into
more manageable
segments.
• Identifying duplicate entries previously
involved utilizing 4 different spreadsheets, a
process that took 3-4 hours. The process is
now automated and can be performed in 5-
10 minutes.
• In one specific use case, this has freed up an
entire resource.
• The AnswerSet produced by Paxata is now
Unilog’s new record of standard and single
source of truth, ensuring consistent
information for analysis.
• Automation empowers Unilog to divert
hours previously spent on maintaining
workbooks to other, more strategic
initiatives
Company Size
600 Employees
Fintech (4 of 4)D16

Future Leaders of AIE
Overview
• AI has been rapidly pursued by Tech Giants and Start-Ups alike.
• In 2017 and 2018, out of the 95 startups that became unicorns, 10 companies were from the AI industry
• Most of these startups are getting acquired by Tech Giants like Google, Amazon, Microsoft, Facebook and IBM
Leaders in AI Research Top AI Startups

Areas of Research
215+ acquisitions
since 2004
Company Total Acquisitions
https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/, https://www.cbinsights.com/research/top-tech-companies-artificial-
intelligence-expert-intelligence/
Future Leaders of AI – ResearchE1
Top Acquisitions in AI
1. Banter
2. AI Matter
3. Halli Labs
4. Api.ai
5. Moodstocks
6. Granata
7. Timeful
8. Vision Factory
Deep Reinforcement Learning, Bayesian Neural
Nets, Robotics, transfer learning, Google Brain,
70+ acquisitions
since 2005
1. Ozlo
2. Zurich Eye
3. Masquerade
Technologies
4. Wit.ai
5. Mobile Technologies
6. Face.com
Machine intelligence, Recurrent Networks
Dream Hierarchically, Neural Language Models,
Universal Music Translation Network,
Regularized Deep Networks
80+ acquisitions
since 1998
1. Sqrrl
2. Harvest.ai
3. Angel.ai
4. Orbeus
5. Evi Technologies
Natural Language Generation, Speech
Recognition, Virtual Agents, Machine Learning
Platforms, AI-Optimized Hardware, Decision
Management, Biometrics, Text analytics
210+ acquisitions
since 1987
1. Maluuba
2. Genee
3. Swiftkey
4. Equivio
5. Netbreeze
CNTK deep learning, Artificial Intelligence
Computer vision, Graphics & multimedia,
Human-computer interaction, Human language
technologies, Search & information retrieval
50+ acquisitions
since 2001
1. Explorys
2. AlchemyAPI
3. Cognea
NLP, Speech and Image recognition, Neural
Networks, Scalable AI models, AI model
tuning, distributed systems
10+ acquisitions
since 2004
1. Kitt.ai
2. RavenTech
3. xPerception
Natural Language and Speech, Robotics and
Autonomous Driving, Computer Vision,
Machine Learning and Deep learning, Baidu
Brain

Company
Algolia
CrowdFlower
Tamr
Mobalytics
Upstart
Affirm
ZestFinance
Cape Analytics
Numerai
Orbital Insight
Descartes Labs
Graphcore
Cerebras Systems
Mythic
Flatiron Health
Recursion Pharma
Freenome
Tempus Labs
Arterys
AiCure
Insilico Medicine
Mya Systems
Textio
C3 IoT
Foghorn Systems
MAANA
MOOGsoft
Casetext
Benson Hill Biosystems
Zoox
NAUTO
Drive.ai
Mighty AI
AEYE
Reflektion
Dynamic Yield
Aquifi
Captricity
Narrative Science
CognitiveScale
Insight Engines
Primer
KYNDI
CrowdStrike
Cybereason
Shape Security
Endgame
Versive
SparkCognition
PerimeterX
Appthority
Obsidian Security
Osmo
DataRobot
Petuum
Trifacta
Company
http://fortune.com/2018/01/08/artificial-intelligence-ai-companies-invest-startups/
Future Leaders of AI - StartupsE2
USA (77 companies)
1 of 2
Funding ($M) Sector Funding ($M) Sector
34
290
183
77
27
16
46
45
33
49
48
40
16
15
10
281
189
106
96
57
44
35
23
10
39
125
108
76
Agriculture
Auto tech
Auto tech
Auto tech
Auto tech
Auto tech
Commerce
Commerce
Commerce
Cross-industry
Cross-industry
Cross-industry
Cross-industry
Cross-industry
Cross-industry
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Cybersecurity
Education
Enterprise ai
Enterprise ai
Enterprise ai
Enterprise ai
Enterprise ai
Enterprise ai
E-sports
Fintech & insurance
Fintech & insurance
Fintech & insurance
Fintech & insurance
Fintech & insurance
Geospatial analytics
Geospatial analytics
Hardware for ai
Hardware for ai
Hardware for ai
Healthcare
Healthcare
Healthcare
Healthcare
Healthcare
Healthcare
Healthcare
Hr tech
Hr tech
Iot
Iot
Iot
It & networks
Legal tech
74
56
41
3
585
525
268
14
8
79
38
110
85
19
313
119
79
70
42
31
8
30
30
131
48
40
53
24

Company
USA (77 companies)
2 of 2
Funding ($M) Sector
Zymergen
InsideSales.com
Afiniti
Invoca
Conversica
Gong
Amplero
SoundHound
Shield AI
Deep Sentinel
WorkFusion
Socure
Merlon
Intelligence
Text IQ
Anki
CloudMinds
Vicarious Systems
Brain corporation
Neurala
Applitools
FLYR
Life science
Marketing, sales, crm
News & media
Physical security
Physical security
Risk & regulatory compliance
Robotics
Robotics
Robotics
Robotics
Robotics
Software development &
debugging
Travel
174
264
80
61
56
26
26
114
13
7
71
33
8
3
182
130
118
114
16
11
14

Company
Rest of World (23
Companies)
Funding ($M) Sector Country
3100
637
608
521
257
182
113
102
101
100
85
82
60
47
43
40
35
22
13
10
10
8
7
News & media
Cross-industry
Cross-industry
Robotics
Cross-industry
Cybersecurity
IoT
Enterprise AI
Hardware for AI
Education
Healthcare
Commerce
IoT
Robotics
Cybersecurity
Commerce
Agriculture
Enterprise AI
Cross-industry
HR tech
Personal assistants
Sports
China
China
China
China
China
U.K.
Japan
Canada
China
China
U.K.
Taiwan
U.K.
Israel
Canada
France
Israel
Israel
Japan
U.K.
Israel
Spain
Canada
Bytedance
SenseTime
Face++
UBTECH Robotics
Mobvoi
Darktrace
Preferred Networks
Element AI
Cambricon
Liulishuo
babylon
Appier
Onfido
OrCam Technologies
Kindred Systems
Shift Technology
Twiggle
Prospera
LeapMind
Tractable
Workey
Sher.pa
Sportlogiq

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