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.

Cisco AI Defense Capture the Flag (CTF)

Experience Cisco AI Defense in an interactive Capture the Flag (CTF), designed to showcase how Cisco is securing the future of GenAI.

Advanced Configuration Lab

624 launches

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

880 launches

Crafting Your First AI Agent

Embark on a journey to create AI agents with "Crafting Your First AI Agent." This hands-on lab introduces LangChain, LangGraph, and CrewAI frameworks, empowering you to build, run, and understand AI agents. Discover the intricacies of AI workflows and multi-agent systems, transforming curiosity into practical expertise.

Foundations Lab

774 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

166 launches

Data Foundations of AI Briefing

A comprehensive data strategy requires marrying data, technology and business objectives to achieve desired outcomes. This briefing from WWT explores the importance and foundational components of a sound data strategy, with a special focus on the considerations for Data Mesh versus Data Fabric approaches.

Briefing

•1 hr

Microsoft Copilot for M365 Strategy Accelerator

Infusing AI into workflows with Copilot for M365 is the new standard for boosting workforce effectiveness & productivity. What is your organization doing about it? It's time to activate your workforce AI strategy with WWT's Copilot for M365 Strategy Accelerator. This assessment prepares your organization with a strategy and roadmap to adopt cutting-edge AI productivity tools across Microsoft's M365 suite.

Assessment

HPE Private Cloud AI - Guided Walkthrough

This lab is intended to give you an overview of HPE Private Cloud AI, HPE's turnkey solution for on-prem AI workloads. HPE has paired with NVIDIA's AI Enterprise software giving customers a scalable on-prem solution that can handle multiple different AI workloads from Inference, RAG, model fine-tuning, and model training.

Foundations Lab

94 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