Artificial intelligence (1)

1
Autointellis Automation EngineersNext
Generation Infrastructure Automation
2
Introduction

• Autointelli is an Artificial Intelligence (AI)
  software for infrastructure
• with machine capabilities.
• It can train itself or to be trained to automate
  more complex and
  
  subjective work through pattern
  recognition.
• It can process natural language and unstructured
  data.
• It responds to a change in the environment,
  adapts, and learns the new way.
• It captures the data analysis and turns data
  into information and are the most mature
  application of AI in business today

3
The Concept
4

• Machine learning refers to the ability of
  computer system to improve their performance by
  exposure to data without the need to follow
  explicitly programmed instructions.
• At its core, machine learning is the process of
  automatically discovering patterns in data.
• Once discovered, the pattern can be used to make
  predictions.

• Autonomics refers to systems that are designed to
  perform routine tasks and operations performed by
  humans.
• The technology interfaces with existing
  applications for processing transactions and
  triggering responses.
• They are machine- learning software programmes
  that observe the way a trained user takes
  decisions or resolves issues and replicate the
  same decision making process to manage similar
  decision points.

• Natural Language Processing (NLP) is the ability
  of a computer to interpet human language and take
  appropriate action.

5
AI Technology Vs Traditional Technology
6
The Problem
IT Network Engineers spend 25-40 of their time
working on reparative mundane activities

• Today more than 85 of outage processes are done
  manually and require human intervention.
• IT Administrators are using manual procedures to
  diagnose, analyze, notify, escalate and resolve
  problems.
• IT Administrators spends between 30-50 of
  their time troubleshooting and fixing problems.

Automating problem isolation resolution can
reduce an outage duration by more than 70
7
The Opportunity
8
The Opportunity

• Lower COST Automation can create cost savings
  from 25 75 (based on where we stand in the
  graph)
• 24x7x365 Automation enables round the clock
  execution without manual intervention at the cost
  of human equivalents
• Higher Efficiency Automation improves the
  Service Delivery model by increasing the
  Production and Accuracy. Thus reducing the cycle
  time and decrease the need of Human intervention
• Self Learning/Healing Machine learning enables
  Self Learning and Self Healing based on the
  intelligence feed into the system
• Prediction Automation can Predict and Suggest
  based on Learning History of the system which
  eradicate the future Incidents completely
• Quality The Quality of Service increases by
  automating the routine task with error and
  negligence.

9
IT Service Delivery Automation Use Cases

• Infrastructure deployment provisioning
• Fix and repair (initial troubleshooting)
• Run book automation (jobs)
• Note Can include other elements of the software
  development deployment lifecycle as well

• Automate infrastructure such as
• Networks demand increasing with the rise of
  software-defined networks
• Hardware or service provisioning
• Performance monitoring, management, and
  self-healing
• Software deployment and life cycle management
• Repeatable activity
• Dealing with scale and complexity
• Transformation and modernization using
  performance data to find areas for improvement
  and modernization

• Transactional process execution

• Handling high volumes of repetitive
  administrative service desk/ help desk tasks,
  e.g., password resets or access/ credential
  requests etc
• Seeking and identifying patterns that can
  indicate unusual situations or activity, e.g. a
  deadline about to be breached or potential
  security threat
• Front-office services such as automated voice as
  well as in-bound request handling

10
Effectiveness of Automation Engineers
Provisioning
Provisioning
Routine Management
De-provisioning
Incident Management
Routine Mgmt.
Change Management
Incident Management
Change Management
De-provisioning
11
Autointellis Component View
12
Autointellis Key Take Away
Intelligent Automation takes artificial
intelligence and expert systems to an elevated
level. What distinguishes this type of technology
from traditional automation is its ability to be
aware and adapt to changing circumstances or new
situations.
Intelligent Automation technology is a good
candidate for almost any IT service delivery
organization that has many different, complicated
systems that need to mesh together
Intelligent Automation technology offers an
alternative outsourcing framework (coupled with
offshoring), which often results in lower
operating costs, decreased cycle times, and
increased productivity
Intelligent Automation technology tracks and
monitors all tasks that it automates, therefore
it enables service deliveries to become more
audit and regulatory compliant and to deeply
analyze IT processes (Ability to adapt,
self-learn and self-correct can further optimize
its IT processes)
5
Intelligent Automation must be combined with
other processes and technologies to optimize the
benefits it yields. With time, this revolutionary
technology has the potential to optimize and
improve processes throughout the entire IT
ecosystem
13
Automation- Service Delivery
14
Autointellis Capability and Features
15
(No Transcript)