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AIM372-S
SPONSORED BY IMPETUS TECHNOLOGIES INC.
Navigating the growth frontiers of
generative AI
Dr. Ravishankar Rao Vallabhajosyula
Senior Director Data Science
Impetus Technologies Pvt. Ltd.
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Your data is your
differentiator
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Implications for generative AI if data strategy is neglected
Missed market
opportunity
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Limited use case
success
Scalability hurdles
Navigate the growth frontiers of generative AI with
Impetus
Scale generative
AI
Generative AI
maturity
Generative AI
strategy &
architecture
Establish
generative AI
foundation
Governance for
responsible
generative AI
Contextualize &
enrich generative AI
4
3
1
Generative AI solution scale and
impact
2
Enterprise readiness
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5
Generative AI strategy and architecture
Impetus in Action:
Roadmap
Solution /
use case
prioritization
Governance
& guardrails
LLM
selection
Crafting a strategic
generative AI plan and
enabling architecture
amidst intense
regulation
- A leading
global banking
institution
Generative AI
model maturity &
assessment
Customer impact,
viability, time-tomarket
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Layout design
principles to
governance
Commercial APIs
or open-source
LLMs
Establish generative AI foundation
Impetus in action:
Unified data estate for generative AI
Data quality
enhancement
Schema
optimization
LLM deployment and accessibility
Reference
architecture
Data platform
accelerator
Adapt and integrate data with LLMs
Enterprise search
with RAG & LLM
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LLM integration
with LangChain
Designed a data platform to ingest and unify
enterprise data sources, facilitating
generative AI use cases
on AWS
- A leading digital insurance provider
LLM deployment leveraging Amazon
Bedrock for airline operations and planning
use cases
- A leading US airlines
Enabling semantic search for business
matching use case with Transformer Models
on AWS
- A leading payment services provider
Governance for responsible generative AI
Impetus in Action:
Data
security
Model
reliability
Ethical
AI
Regulatory
and risk
framework
Transparency
and
accountability
Crafting a strategic
generative AI plan and
enabling architecture
amidst intense regulation
- A leading
global banking institution
Obfuscate PII
information in
data used
Ensure LLM
repeatable
responses
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Detect and
remove bias
from data
Track LLM
output for
compliance
Communicate LLMs
capabilities and
limitations
Contextualize and enrich generative AI
Prompt Engineering Libraries
Synthetic Data
Vector Search
Data Enrichment
Industry Tailoring
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Impetus in Action:
Enabling Customer
Service Agents to provide
accurate information to
prospects on product
offerings and T&C
- A Leading
Financial Services
Organization
Scale generative AI
Impetus in Action:
Deploy & Monitor
with LLMOps
Industrialize
App Dev
Measure generative
AI
Performance
LLM Deployment
leveraging Amazon
Bedrock for airline
operations and planning
use-cases
- A Leading
US Airline
Deployment
of LLMs
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Best
Practices
Performance
Tracking
Use cases
Chatbots and
Conversational Agents
Enterprise Search
Personalized Content Generation
for Sales / Marketing
Research and Report
Generation
Code Creation and
Documentation
Claim Submission,
Management, and Reporting
Product Discovery
and Generation
Translation and
Content Localization
And many, many more…
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Principles for getting started with generative AI
• Getting the data estate right for generative AI
• Address privacy and security concerns
• Start internal pilot and test extensively with stakeholders and employees
• Avoid having hallucinations that harm your business
• Promote culture and talent model to support generative AI
• Prize transparency to be upfront about interactions people are having with a machine
with constant reminders
• Continuous validation and testing of models and outputs
• Do your due diligence, set up processes and guardrails to track biases, data quality and
other issues
• Take it slow, encourage experimentation, learning and have fun
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Navigate your generative AI Journey with Impetus
Generative AI
Readiness
Assessment
Data and AI Labs
Design Lab
Collaboration with business
and technology to establish
generative AI strategy and
architecture
Generative AI maturity and
path to evolve from rule-based
analytics and traditional ML
Build Lab
Develop generative AI
solution in your environment
with your data for proof of
value and a roadmap to
production
Impetus generative AI
Services
• Data Unification for generative AI
• LLM Selection, Integration,
and Deployment
• MLOps & LLMOps
• Generative AI Solution
Development
Proven frameworks and
accelerators for your end-toend generative AI journey
For More Information: Email [email protected] Visit www.impetus.com
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