From software eating the world, it is now AI eating the world!
March of Chat-GPT continues unabated and causes heavy expansion of AI/ML into our everyday lives.
WHY ZETTABOLT?
With expertise in various stages of AI/ML projects, right from data cleanup to model creation to feature engineering to model fine-tuning and deployment, Zettabolt is best suited for engagements which need high quality outcomes and predictable delivery. We are well versed in Generative AI technologies built on top of various commercial and open-source Large Language Models (LLMs) and have delivered customer projects across industry segments.
Our team of trained Data Science and AI/ML specialists can quickly understand customer requirements and deliver projects in significantly less time and cost. Having delivered projects for top Fortune-500 customers, delivering as per commitment is in our DNA!
WHAT ZETTABOLT OFFERS
DATA &
MODELING
Data ingestion
Preparing data for modeling
Choosing right algorithms
Ranking and scoring data
Outlier analysis
TECHNIQUES
Data clustering, classification, regression
Graph modeling
Knowledge graphs
Time series modeling
Natural Language Processing
Generative AI : LLMs
Supervised and unsupervised trainings
SEGMENTS
COVERED
Supply Chain Analytics : Demand forecasting, stock analytics, supply chain management
Marketing Analytics : Personalization, Campaign Analytics, Social Media Analytics, Predictive Analytics
Customer Analytics : Customer 360 degree, Retention, Sentiment Analysis
MLOPS
AND AIOPS
Infrastructure and tools required for ML pipelines
Version control, model deployment, CI/CD
Detecting issues in IT operations
Deployment on AWS & Azure
EXPERT
ADVICE
Market research
Defining AI strategy
PoCs for ideas
Tools and compute resources selection
Cost and ROI calculation
OUR TECH STACK
DATA TO
MODELS
With a deep understanding of techniques needed to build working ML models, we help users best predict the future outcomes. Our capabilities include:
Data wrangling, cleanup and feeding to ML pipelines
Writing ML models and their tuning using SAS, R, Python, pySpark and Spark ML tools
Applying algorithms for clustering, regression, centrality, closeness etc. as per requirement
Mapping the problems to RDBMS, VectorDB and GraphDB etc.
ML & AI
OPS
Whether it is open-source technologies or commercial ones, we help with optimal configuration of ML/AI training and inferencing pipelines. Values we provide:
-
Connecting models with the data sources
Version control, CI/CD, alerts and monitoring
-
Migrating pipelines from one setup to another
Cost and RoI trade-offs for on-prem versus cloud
GENERATIVE AI
SOLUTIONS
World of GenAI is perplexing to the user. With so many possibilities and plethora of choices to pick, confusion prevails. We help our customers with:
Picking the right LLM with trade-off on size versus accuracy
Deciding right vector embeddings for LLM of choice
Setting up RAG pipelines for incremental training
Manual training of LLMs
Performance tuning
GPU versus CPU tradeoffs
CUSTOMER CASE STUDIES
OUR BLOGS & WHITEPAPERS
