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Prashant K Dhingra
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Blog
GenAI for Report Generation
GenAI vs SQL For Reports
hardware
AI for Cyber Security
Sovereign cloud
AI in Data Centers
Data Visualization
Stocks
Nasdaq
S&P 500
FTSE
Metrics
Ask Questions From Data
Challenges
Reinforcement Learning in Recommendation
OKRs
PI
Enterprise Search
Sharding
Experiment - Collection Process
High Frequency Trading
Portfolio
NLP to SQL
Earning call analysis
Research Paper
Data Quality
ML Orthogonalization
Stock signal for high freuqency trading
PII removal
Theme identification from NLP feedback
Predictive maintenance
Anomalies-Flight landing
Stock Buyback
Lead Scoring
Opportunity Scoring
Audience Intelligence
AB Testing
Co-Pilot for AB Testing
Offline Experimentation
Streamflow estimation using ML
Predictive maintenance
Medicine pages NLP understanding
Ship co travel identification
Digital Twin
Opportunity Scoring
Feature Importance and Explainability
Kaggle competition
Learn more with less data
Bad English to Good English
Anomaly flight landing
Predict backup job failure
Estimate Car Damage - Visual anamolies
Use flight anomalies and hijacking
ML for Data
Bill Pay
Metrics For Bill Pay Search
Generative AI Projects
Stock Earning Call Analysis Generation
Financial Planning Assistant
LLM Dataset curation
Generate Websites
Kreate AI Assistants, Agent and Bot
Generate web design
Generate synthethic datasets
Compare LLMS
Kontrols - Guardrails for LLM
Education
Videos
Slides
ML use case
Build vs Buy - Data driven capabilities
NLP projects
Strategy and Execution alignment
Research Experiment
Expertise
Machine Learning Engineering
Experimentation
Advance NLP
AI Diagnostics
Chocolate bar of data
Orthogonalization
Data science and model building
NLP to SQL
NLP - entity extraction, sentiment and emotion
Approaches to handle Class imbalance
Product Management
Data Product
Business Model for AI products
Cloud architectures
Azure
Azure ML
Software engineering excellence
Visualization
Learnings
Data Privacy
Explainability
Data Governance
Engineering management
Leadership
Customer
Customer-analysis
Program Management
BDN for Strategic alignment
Dual Agile Track
Elephant and Monkey story
Flushot vs Physiotherapy model
Fresh Orange Juice story
Painter vs Scluptor
Product Mgmt
Data Product
Chief Data Officer
Chief Technology Officer
Learnings from digital transformation
Public Documentation
DevOps vs DevSecOps
inspiring-quotes
Resume
More
Papers
Privacy Handling
Learn more with less data using Active Learning
Snorkeling: Label Data With Less Labor
Books
Save lives using Cloud Analytics and ML
Code and Github
explainability code in R
Change Management
meet
Data Privacy
example-code
Prashant K Dhingra
Home
Blog
GenAI for Report Generation
GenAI vs SQL For Reports
hardware
AI for Cyber Security
Sovereign cloud
AI in Data Centers
Data Visualization
Stocks
Nasdaq
S&P 500
FTSE
Metrics
Ask Questions From Data
Challenges
Reinforcement Learning in Recommendation
OKRs
PI
Enterprise Search
Sharding
Experiment - Collection Process
High Frequency Trading
Portfolio
NLP to SQL
Earning call analysis
Research Paper
Data Quality
ML Orthogonalization
Stock signal for high freuqency trading
PII removal
Theme identification from NLP feedback
Predictive maintenance
Anomalies-Flight landing
Stock Buyback
Lead Scoring
Opportunity Scoring
Audience Intelligence
AB Testing
Co-Pilot for AB Testing
Offline Experimentation
Streamflow estimation using ML
Predictive maintenance
Medicine pages NLP understanding
Ship co travel identification
Digital Twin
Opportunity Scoring
Feature Importance and Explainability
Kaggle competition
Learn more with less data
Bad English to Good English
Anomaly flight landing
Predict backup job failure
Estimate Car Damage - Visual anamolies
Use flight anomalies and hijacking
ML for Data
Bill Pay
Metrics For Bill Pay Search
Generative AI Projects
Stock Earning Call Analysis Generation
Financial Planning Assistant
LLM Dataset curation
Generate Websites
Kreate AI Assistants, Agent and Bot
Generate web design
Generate synthethic datasets
Compare LLMS
Kontrols - Guardrails for LLM
Education
Videos
Slides
ML use case
Build vs Buy - Data driven capabilities
NLP projects
Strategy and Execution alignment
Research Experiment
Expertise
Machine Learning Engineering
Experimentation
Advance NLP
AI Diagnostics
Chocolate bar of data
Orthogonalization
Data science and model building
NLP to SQL
NLP - entity extraction, sentiment and emotion
Approaches to handle Class imbalance
Product Management
Data Product
Business Model for AI products
Cloud architectures
Azure
Azure ML
Software engineering excellence
Visualization
Learnings
Data Privacy
Explainability
Data Governance
Engineering management
Leadership
Customer
Customer-analysis
Program Management
BDN for Strategic alignment
Dual Agile Track
Elephant and Monkey story
Flushot vs Physiotherapy model
Fresh Orange Juice story
Painter vs Scluptor
Product Mgmt
Data Product
Chief Data Officer
Chief Technology Officer
Learnings from digital transformation
Public Documentation
DevOps vs DevSecOps
inspiring-quotes
Resume
More
Papers
Privacy Handling
Learn more with less data using Active Learning
Snorkeling: Label Data With Less Labor
Books
Save lives using Cloud Analytics and ML
Code and Github
explainability code in R
Change Management
meet
Data Privacy
example-code
More
Home
Blog
GenAI for Report Generation
GenAI vs SQL For Reports
hardware
AI for Cyber Security
Sovereign cloud
AI in Data Centers
Data Visualization
Stocks
Nasdaq
S&P 500
FTSE
Metrics
Ask Questions From Data
Challenges
Reinforcement Learning in Recommendation
OKRs
PI
Enterprise Search
Sharding
Experiment - Collection Process
High Frequency Trading
Portfolio
NLP to SQL
Earning call analysis
Research Paper
Data Quality
ML Orthogonalization
Stock signal for high freuqency trading
PII removal
Theme identification from NLP feedback
Predictive maintenance
Anomalies-Flight landing
Stock Buyback
Lead Scoring
Opportunity Scoring
Audience Intelligence
AB Testing
Co-Pilot for AB Testing
Offline Experimentation
Streamflow estimation using ML
Predictive maintenance
Medicine pages NLP understanding
Ship co travel identification
Digital Twin
Opportunity Scoring
Feature Importance and Explainability
Kaggle competition
Learn more with less data
Bad English to Good English
Anomaly flight landing
Predict backup job failure
Estimate Car Damage - Visual anamolies
Use flight anomalies and hijacking
ML for Data
Bill Pay
Metrics For Bill Pay Search
Generative AI Projects
Stock Earning Call Analysis Generation
Financial Planning Assistant
LLM Dataset curation
Generate Websites
Kreate AI Assistants, Agent and Bot
Generate web design
Generate synthethic datasets
Compare LLMS
Kontrols - Guardrails for LLM
Education
Videos
Slides
ML use case
Build vs Buy - Data driven capabilities
NLP projects
Strategy and Execution alignment
Research Experiment
Expertise
Machine Learning Engineering
Experimentation
Advance NLP
AI Diagnostics
Chocolate bar of data
Orthogonalization
Data science and model building
NLP to SQL
NLP - entity extraction, sentiment and emotion
Approaches to handle Class imbalance
Product Management
Data Product
Business Model for AI products
Cloud architectures
Azure
Azure ML
Software engineering excellence
Visualization
Learnings
Data Privacy
Explainability
Data Governance
Engineering management
Leadership
Customer
Customer-analysis
Program Management
BDN for Strategic alignment
Dual Agile Track
Elephant and Monkey story
Flushot vs Physiotherapy model
Fresh Orange Juice story
Painter vs Scluptor
Product Mgmt
Data Product
Chief Data Officer
Chief Technology Officer
Learnings from digital transformation
Public Documentation
DevOps vs DevSecOps
inspiring-quotes
Resume
More
Papers
Privacy Handling
Learn more with less data using Active Learning
Snorkeling: Label Data With Less Labor
Books
Save lives using Cloud Analytics and ML
Code and Github
explainability code in R
Change Management
meet
Data Privacy
example-code
ML use case
Convert use case to ML use case
Use case - Business to ML
Business problem User, Customer, Actor Flow of events Flow of alternate events Functionality and result Benefit Process change Describe how ML improve existing use case Focus on what to predict and signals Describe Signals, Data sources, Dataset Specify how to measure results Business use case ML...
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