Data Strategy and Architecture

Data strategy & architecture services

We help clients approach data as a valuable asset through five fundamental competencies, each with its own set of services:

Data strategy & roadmap

Data strategy must ensure alignment between business and data objectives. Services include:

Use case prioritization
Data maturity assessment
Stakeholder engagement
Implementation roadmap

Data engineering & architecture

Integrate and automate data pipelines via advanced cloud solutions. Services include:

Data architecture
Automated integration
Data warehousing
Cloud solutions

Data analytics & visualization

Modernize reporting though actionable analytics and data-driven insights. Services include:

Dynamic dashboards
Insight-driven alerting
Set-service datasets
Cross-organization collaboration

Data governance & management

A framework governing policies and data capabilities to bolster "data as an asset." Services include:

Governing council
Polices and procedures
Ownership and stewardship
Tools and technology

Data science & machine learning

Enable and optimize data and analytics through applied AIOps & MLOps. Services include:

Computer vision
Natural language processing (NLP)
IoT and automation
AIOps and MLOps

How mature is your data strategy?

Identifying the maturity of your data ecosystem is the first step toward developing a strong data strategy.

Validate your organization's level of data maturity today.

Generative AI Briefing

Generative AI presents a unique opportunity to propel organizations into the future. By thoughtfully integrating generative AI into an organization's workflow, new levels of creativity, innovation, and customer experiences are unlocked to accelerate industry gains. At the same time, organizations must adopt a responsible and ethical approach to GenAI to harness its potential and mitigate risk.

Briefing

•2 hrs

AI Prompt Injection Lab

Explore the hidden dangers of prompt injection in Large Language Models (LLMs). This lab reveals how attackers manipulate LLMs to disclose private information and behave in ways that they were not intended to. Discover the intricacies of direct and indirect prompt injection and learn to implement effective guardrails.

Foundations Lab

678 launches

NVIDIA Blueprint: PDF Ingestion

NVIDIA Blueprints: PDF Ingestion, also known as NVIDIA-Ingest, or NV-Ingest, this blueprint is a scalable, performance-oriented document content and metadata extraction microservice. Including support for parsing PDFs, Word and PowerPoint documents, it uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images for use in downstream generative applications.

Sandbox Lab

117 launches

NVIDIA Run:ai Researcher Sandbox

This hands-on lab provides a comprehensive introduction to NVIDIA Run:ai, a powerful platform for managing AI workloads on Kubernetes. Designed for AI practitioners, data scientists, and researchers, this lab will guide you through the core concepts and practical applications of Run:ai's workload management system.

Sandbox Lab

129 launches

AI Studio

AI Studio is a 4–6 hour session for business and technology leaders to align on strategic AI priorities, assess organizational readiness and explore high-impact use cases. Through guided discussions and collaborative ideation, participants will define key focus areas and uncover opportunities to accelerate AI efforts, ensuring initiatives are targeted, measurable and aligned to business outcomes.

Workshop

•6 hrs

AIPG: Innovation Lab with NVIDIA DGX

NVIDIA DGX H100 integration and validation environment for enterprise AI workflows.

Advanced Configuration Lab

6 launches

Retrieval Augmented Generation (RAG) Walk Through Lab

This lab will go into the basics of Retrieval Augmented Generation (RAG) through hands on access to a dedicated environment.

Foundations Lab

873 launches

Introduction into OpenShift AI with Intel and Dell Infrastructure

Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production. In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.

Foundations Lab

307 launches