This document provides information about IBM's cloud services including Watson Assistant, IBM Cloud Paks for Automation, IBM Watson IOT Platform, and IBM Cloud SQL Query. It describes the key features and benefits of each service, how they can be used to automate processes, gain insights from IoT data, and analyze data through querying. It also provides examples of how Bradesco Bank leveraged Watson Assistant to improve customer experience and reduce wait times.

1. Cloud & Big Data
Group 4
Balaji K
Mayank
Rohan Nisale
Nishat Bunglowala
Comparison of Different Cloud Service Providers

2. Different Cloud Service Providers
100 + Products 170 Products
200+ Products
Founded in 2006 Founded in 2008 Founded in 2011
Annual Revenue : $46 B
Market share : 32 %
Annual Revenue : $13 B
Market share : 7 % Market share : 5%
Annual Revenue : $ 11.48 B
Data Centers: 81 Data Centers: 26 Data Centers: 60
Cons : Expensive despite
regular lowering of prices
Cons : Limited features &
Services
Cons: Complicated Pricing
Model

3. Most of the time, Automation is considered as the taker of jobs. But at the same
time, it is a quick fix to operational issues.
IBM's strategy relies on the combination of Automation and AI.
This strategy can help a business by -
IBM Cloud Paks for Automation
Reducing the time
spent on building
integrations by up to
80%
Automating use cases
that wouldn’t be
possible without AI
Make your employees
more efficient at the
edge
Key strengths -
Only company to offer a single platform for business and IT automation.
Embrace unstructured data and know how to solve large-scale problems.
Pull data from an ecosystem of sources, and we run on any cloud.

4. IBM Cloud Paks for Automation

5. Automation Foundation
Work
Orchestration
Process
Mining
Task
Mining
Robotic process
automation
Unified asset
repository
Single event
hub
Shared components that power intelligent automation :

6. Set of integrated market-leading software designed to solve the toughest
operational challenges.
AI-generated recommendations, Analytics to measure impact, and business-
friendly low-code tools.
Benefits -
IBM Cloud Paks for Business Automation
Understand your
current state
Improve business
applications
Increase
productivity
Gain deeper
insights
Respond to
challenges faster
Deploy
anywhere

7. Use Cases : IBM Cloud Paks for Business Automation
Customer Support
HR Onboarding
Accounts Payable
Remote work dispatch

8. IBM Watson Assistant
AI assistant (Virtual Agent)that solves customer problems for the first time.
Virtual agent customizable to to any domain.
Watson Assistant provides customers with fast, consistent and accurate answers across
any application, device or channel.
Features & Benefits :
Web chat
Voice
Omni-channel Use : Clarifies when unsure
Hands off to a Human-
agent
Great Multi-tasker
AI does not give up :
Simple dialog builder
use chart logs - ML
technique
Pre-built content
Anyone can build :
Powered by NLU
Understanding Language
AI Recommendations
SMART AI :
AI/ML : Infuse AI into your applications to make more accurate predictions,
automate decisions and processes, and optimize your team’s time

9. Application of WATSON assistant:
Customer care
Banking
Insurance
Telco
Utilities
E-Commerce
Deploy in any cloud platform
Connect to any app
Connect to any customer service platform
Connect anything & deploy anywhere:
Data Privacy & Compliance
Mutual Authentication
AI Recommendations
Own your data:

10. Case study : Bradesco Bank
Bradesco Bank - Largest in Brazil- 5200
Branches
Long wait for employees to get answer about
Products / service.
Results in Customer left waiting for a long leads
to Poor customer experience
Bradesco Looked for speed of serving the
customer
Solution : Watson Assistant
How Watson was useful:
Watson was trained with 10000 customer questions
Watson was tested in 100 banks of different locations
Watson was deployed in 5200 barnches
Employees began to Trust WATSON- Response time
reduced from 10 Minutes to few seconds
10 million transaction has been done with WATSON

11. IBM Watson IOT Platform
IBM's Watson IoT platform is where we can set up and manage our connected
devices.
The data from the gateway or device is sent safely to the IBM cloud using the
open, lightweight MQTT messaging protocol.
IBM IoT Platform offers the secured API's to connect the apps with the data
coming from the devices.
It also offers to create applications within IBM Cloud , or even in other Clouds to
interpret and analyze the data that we have access to.

12. Features of IBM Watson IOT Platform
Start
small,
scale fast
Visualize,
analyze and
act
Track,
trace and
trust
Watson IoT
Platform can
help a company
scale and adapt
quickly to
changing
business needs
Take advantages of
the analytics
service for
visualization and
AI-driven analytics
in the cloud to gain
insights from data
Enable shared
and secured
information
across business
network with the
blockchain
service

13. Getting started with Watson IoT Platform
Connect
devices
View real-
time IoT
data
Analyze
your IoT
data
Build a
service app
Use Object Storage
to access long- term
IoT data

14. IBM Cloud SQL Query
IBM Cloud SQL query is a fully managed service that runs SQL queries to analyse,
transform or clean up rectangular data.
This service uses Apache Spark and stores the query results in either IBM Cloud Object
storage or IBM db2 warehouse on cloud

15. Features:
Easy data
exploration
Instant Querying
Supports Open
Data Formats
Protected
Use Cases:
Query Server
Logs, Click-
stream data
Query
Structured or
unstructured
data
Transform the
data

16. Thank
You!