Artificial Intelligence

Happy to announce that Data Piper now has solution expertise in Artificial Intelligence - Vertex AI on Google

Features

Approach

Expert guidance on all the tools and framework for applying Al at scale. Al stack selection advisory to help you meet your business goals. Walk through on how to eliminate the infrastructure setup, maintenance and management concerns while automating the Al workflow that scales. We are here to help from planning to implementation phases.

Accelerators

Extensive library of reusable accelerators to get you started on the Al journey quickly from infrastructure setup, ML model training, model deployment, and MLOps.

Customer Experience

Enhance your customer experience by building a smart contact center which can reduce overloaded phone lines and email queries significantly. Our experts can help in quickly building and deploying virtual agent! that can work over chat, voice, and other channels.

Service Offerings

AI Strategy

Discovery on existing stack to identify gaps in operational efficiency
AI stack selection advisory to meet your business goals
Data collection & preparation for AI models to get best AI solution as per the requirements in hand

AI Strategy

Generative AI

Use case discovery to understand the end goals
Designing path from implementation to production
Gen App Builder infrastructure to create enterprise-grade generative AI applications
Content creation, virtual customer service and search using generative AI

Generative AI

CCAI(Contact Center AI Platform)

Create virtual agents to interact with your clients
Enable natural interactions with agents to get best chat experience
Enable analytics on conversations to get usable actionable insights

CCAI(Contact Center AI Platform)

ML Model Development

Building Vertex AI Pipelines to simplify deployment and management of ML workflows
Model training on large data sets
Model evaluation to check the performance
Model deployment and integration to production

ML Model Development

MLOps

Selecting the appropriate cloud platform or on-premises infrastructure, configuring networking, storage, and compute resources, and optimizing the environment for scalability and performance
Automate the entire process of model development, training, testing, validation and deployment for your Business

MLOps

Featured Case study

How Data Piper helped a GCP client with their Al journey

Healthcare

Industry

Information Tech

Solution

Data Piper

Challenge

Providing technical leadership, detail, design,
documentation and software for secure service
control perimeter, serverless cloud based
environments for developing, validating, and
hosting model and analytic based services
Asynchronous batch predictions with Vertex Al
using custom trained models placed inside
containers

Providing guidance in deployment scripts to
authenticate, activate a service account, deploy to
Artifact Registry then to Vertex Al as a Model
resource, then create an endpoint and finally
publish a new or updated model

How Data Piper helped a GCP client with their Al journey

Healthcare

Industry

Information Tech

Solution

Data Piper

Solution

Implemented continuous build and release pipelines
Architected and deployed a resilient serverless
microservice with load balancing, serverless
network endpoint group, serverless virtual private
connection access connector, and continuous
revisions in Cloud Run.

Infrastructure was configured with VPC-SC
perimeter, firewall, egress and ingress rules. The
infrastructure for hosting and serving of custom
machine learning models was made to handle
multi-region deployments with health checks to
ensure disaster recovery.
This project had a lot of Images which were tidied
up by composing and building a GPU enabled
Tensorflow container, to support model deployment
to a Vertex Al Endpoint.