Fast Track AIOps Automation with Prebuilt Databots

Fast Track AIOps Automation
with Prebuilt Databots
Tejo Prayaga
Senior Director
CloudFabrix
Bhaskar Krishnamsetty
Chief Product Officer
CloudFabrix
Valerie O’Connell
Research Director
Enterprise Management Associates

Watch the On-Demand Webinar
• Fast Track AIOps Automation with Prebuilt Databots On-
Demand Webinar:
https://info.enterprisemanagement.com/fast-track-aiops-
automation-with-prebuilt-databots-webinar-ws
• Check out upcoming webinars from EMA here:
https://www.enterprisemanagement.com/freeResearch

Featured Speakers
Valerie came to EMA with decades of senior-level experience
in the effective marketing of technology. From strategic
positioning with practical go-to-market planning and
compelling messaging, Valerie works with her clients to drive
business. She excels at making the value proposition of complex
products clear in crowded markets and at equipping sales
forces to strike with precision.
© 2021 Enterprise Management Associates, Inc. 3
Bhaskar Krishnamsetty
Chief Product Officer
CloudFabrix
Valerie O’Connell
Research Director, EMA
Bhaskar has 25 years of experience in technology leadership,
engineering, marketing and product management. In his role as
Co-Founder and Chief Product Officer of CloudFabrix Software
Inc. Bhaskar is responsible for setting the strategic direction, with
the key focus in product development and organizational
planning.
Tejo is a high-growth product management & marketing leader
helping technology companies build, scale, and market
solutions that make a difference through the use of modern
technologies like data automation, artificial intelligence,
machine learning, microservices, cloud services, and more.
Tejo Prayaga
Senior Director
CloudFabrix

Valerie O’Connell
Research Director
Digital Service Executions
voconnell@enterprisemanagement.com
Fast Track AIOps Automation
with Prebuilt Databots

AIOps research perspectives
Research:
 AIOps Radar Q4 2020 (17
vendors and their deployments),
 AI(work)Ops Q2 2021 (global
survey of IT leaders 5,000+
employees).
Findings:
• AIOps = high-value initiative
• Digital transformation: drives
AIOps 40%, tightly coupled 27%,
integration planned 12%
• AI is the brains of AIOps, but
automation is the brawn
| @ema_research
More than half of the respondents directly associate automation with AIOps.
More than 50% of all respondents state that automation is a C-suite
initiative, strategic across the organization. AIOps only rang in with a 32%
strategic rating.
The highest success levels come when both AIOps and automation are
viewed as strategic/enterprise-wide.
What does the term AIOps mean to you?

Automations supported by AIOps implementations
High-performing groups select more
automations, and at a higher rate
Automation breeds automation
Automation increases with
implementation experience
| @ema_research

AIOps serves a lot of masters – IT and non-IT stakeholders
| @ema_research
Cross-domain IT stakeholders supported through AIOps? Non-IT stakeholders supported through AIOps?

IT benefits of AIOps
| @ema_research

Business benefits of AIOps
| @ema_research

Value returned to the organization – AIOps is a self-funding proposition
| @ema_research
How would you characterize the value AIOps brings to your organization relative to the cost?

The gains are not immediate or easy: implementation complexity

No shortage of challenges to AIOps; if you take out cost, data is the #1 challenge to AIOps
| @ema_research

Business data sources
| @ema_research
What are the top business data sources that integrate with your AIOps implementation?

Data across many application types (average 4)
| @ema_research
What types of applications are supported by AIOps?

In separate research, data was also a top challenge set to ESM implementation
| @ema_research
Note: data is a top challenge in every IT automation initiative

So, data is either an obstacle or a shortcut
to get to AIOps benefits faster
| @ema_research
Complexity Skills Resources Cost

Fast Track AIOps with
Prebuilt Bots
Q4-2021
cloudfabrix.com

18
© 2015 – 2021 CloudFabrix Software, Inc. All Rights Reserved
AIOps Fundamental Premise: Process Vast Amounts of Data
AIOps
Observability
Alerts, Events
Changes
Collaboration
Automation
BI / Reporting
Incidents
Topology
(Metrics, Logs, traces)

19
Ok, What are the Top Data Challenges in AIOps
Data Access
and
Acquisition
Poor Data
Quality
Data Not Suitable
for AI/ML
Numerous Data
Integrations
Skillset
Gap

20
Data Access
and
Acquisition
Poor Data
Quality
Data Not Suitable
for AI/ML
Numerous Data
Integrations
Skillset
Gap
How Traditional Implementations Attempt to Overcome These AIOps
Data Challenges - But Still Fall Short
Data Preparation
& Integration
Data Enrichment/
Changes
Use Cases/
Scenarios
Data Exploration/
Feature Analysis
Manual Manual Manual Limited

21
How We are Solving these Data Challenges? - Bots & Automation
AIOps
Observability
Alerts, Events
Changes
Collaboration
Automation
BI / Reporting
Incidents
Assets/Topology
Data Preparation
& Integration
Data Enrichment/
Changes
Use Cases/
Scenarios
Data Exploration/
Feature Analysis
Automated Automated Automated Lot More

22
Introducing Robotic Data Automation (RDA)
• Low code platform
• 500+ Integration & software Bots
• Inline IA/ML Bots
• Composable IT workflows
• DevOps agility to DataOps
• Democratizing IT analytics

23
v
What is a Bot? We Have 500+ Bots Out of The Box
Data Bot
➔ Bot performs an atomic task
➔ Bots are repeatable, reusable
➔ Bots run in RDA platform
Key Bot Categories
@slack:post-message-to-channel
@awsv2:ec2:instances region="ap-south-1"
@dm:xml-to-json
Examples
Data Management
Bots
AI/ML
Bots
Integration
Bots
Streaming
Bots
Automation
Bots
And More ...

24
Example: Cisco Integration Bots
*Upcoming
*Upcoming

25
Example: AI/ML/NLP Bots using Integrations with Cloud Services

26
What Can you Do in AIOps with These Prebuilt
Bots?
Data
Acquisition
Data
Enrichment
Data
Transformation
Data
Masking
Task
Automation
Data
Simulation
And a lot more ...
Exploratory
Data Analysis
Data
Integrity

27
Bots Can work Together To Accomplish Complex
Workflows
Updates
Actions
AI/ML &
Analytics
Data Prep/
Transform
Data
Integration
Filter
Shape
Aggregate
Convert
Mask
...
AIOps Pipelines
Low
Code
No Specialized
Domain Skills Required
Address Lot More
Use cases

29
Solution Packs Make It Even More Easier to Use
Bots

30
AIOps Studio is where you can Interact with the
Bots
AIOps Studio

31
How Our Customers are Fast Tracking AIOps with
These Bots
CMD
B
Exchange
Banking
Online
Financial
Reporting
Common
Infra
Config/
Assets
AIOps
Incidents
Key Success Metrics Without CFX RDA With CFX RDA
Data Integration 3 to 4 weeks 3 to 5 days
Data Preparation 5 to 6 weeks 5 to 7 days
Noise Reduction Analysis 2 to 3 weeks 2 to 3 days
Large
Financial
Organization
2 to 3 Months → 2 Weeks
Data Preparation and Integration
Data
Ingestion
Metadata
Discovery
Data Quality
Analysis
Data
Dispersion
Data
Enrichment
Data
Transformation
Data
Integration
Data Ops

33
Key Benefits of AIOps Enabled with RDA Bots
Address a lot More
Use Cases
(Higher ROI)
Accelerate &
Simplify AIOps
(2X Faster)
Bring DevOps
Agility to AIOps
Faster
(Time to Market)

34
Learn More and Get Started
https://roboticdata.ai/signup
https://youtu.be/Js67MUfNZHM

35
Reach Out to Us
Email: contact@roboticdata.ai
Join Community:
https://roboticdata.ai/community/
Source: pexels.com

Fast Track AIOps Automation with Prebuilt Databots

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