Business
Modernize Apps with AI and Microsoft Power Platform
Use this guide to assess Power Platform for legacy app modernization, Copilot-assisted delivery, governance, and rollout planning.
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Articles tagged Learning
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Copilot
Microsoft 365 Copilot for Small Businesses
See where Microsoft 365 Copilot can help small teams draft, summarise, analyse data, and prepare for a practical rollout.
Data Engineering
Microsoft Power Automate: A Practical Automation Guide
Identify repeatable workflows, set governance boundaries, and measure the value of Power Automate before scaling automation.
Azure
Low-Code Developer Productivity with Power Platform
See where low-code can reduce repetitive work, speed delivery, and support governance, plus the evidence to check before using benchmark figures.
Company
Data-Driven Carbon-Neutral Certification Archive
A dated record of Data-Driven's Climate Active certification, its reporting boundary, reduction work, and verified offsets.
Learning
Data-Driven ISO 27001 and ISO 9001 Certifications
Understand what Data-Driven's ISO 27001 and ISO 9001 certifications cover, how external audits work, and what clients should verify.
AI
Generative AI on Azure: A Practical eBook
Review a 2024 guide to Azure generative AI use cases, deployment choices, data safeguards, and operational readiness.
Copilot
Microsoft Copilot Studio Updates: What Changed
Review the dated Copilot Studio changes to knowledge sources, Azure AI integration, and maker controls before using them in a rollout.
Copilot
Copilot in a Day Workshop | Data-Driven AI
Review the hands-on Copilot Studio workshop agenda, from agent basics and variables to Power Automate workflows.
Copilot
Microsoft 365 Copilot: 10 Team Management Uses
See ten practical ways managers can use Microsoft 365 Copilot for meetings, communication, onboarding, research, email, and team planning.
Azure
How AI Changes Business Operations and Decisions
See five common AI use cases across decisions, automation, customer service, operations, and products, with questions to test value.
AI
Build and Modernize AI Apps on Microsoft Azure
Review Azure services for machine learning, data storage, analytics, automation, and customer-facing AI application patterns.
Azure
Azure Integrated Stack: A Workload Planning Guide
Map Azure infrastructure, data, AI, DevOps, IoT, and virtual desktop services to a defined workload and operating model.
Data Engineering
SharePoint Data Ingestion with Azure Logic Apps
Design a SharePoint-to-Azure file workflow with controlled triggers, least-privilege access, validation, monitoring, and recovery.
Learning
Azure RBAC: Roles, Scope, and Governance
Learn how security principals, role definitions, and scope work together in Azure RBAC, with practical governance and access examples.
Learning
Data Governance for Financial Services
A practical guide to ownership, quality, access, retention, and regulatory checks for financial-services data teams.
Learning
Data Strategy for Financial Services
Five decisions connect business goals to data ownership, architecture, analytics, governance, and operating responsibilities.
Azure
Azure Migration: Four Decisions Before You Move
Assess workload fit, dependencies, costs, security, and operating ownership before moving an application or data platform to Azure.
Azure
Fuzzy Search with Azure AI Search
A versioned tutorial for indexing text and testing typo-tolerant queries through the current Azure AI Search REST API.
Azure
Azure Network Security with Private Endpoints
A current guide to virtual networks, Private Link, DNS, and public-access controls for Azure data services and Databricks.
Azure
Cloud Cost-Saving Strategy: Webinar Archive
An archived webinar on cost visibility, usage review, governance, training, and the original cloud cost-management workflow.
AI
Teachable Machine: A Small Image-Classification Lesson
A 2019 experiment with Teachable Machine shows how sample size, bias, consent, and testing shape a simple image classifier.
AI
Titanic Survival Prediction with Azure Machine Learning
An archived beginner Tech Talk using the Titanic dataset, Kaggle, and Azure Machine Learning Studio to introduce classification.
Databricks
Data Science Overview with Databricks
An archived introductory Tech Talk covering the Databricks workflow and its place in the nine-part Data Science for Dummies series.
Databricks
Titanic Data Engineering with Databricks and Python
An archived Tech Talk showing how the Titanic dataset was prepared and engineered in Databricks before model training.
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