Data governance campaigns should be fluid and pragmatic. Learn three keys to creating a successful, frictionless, and understandable process.
Search Results: governance (739)
2021 promises to be an important inflection point for AI policy. In this piece by Brookings Institute, learn about 6 developments in governance aimed toward more principled use of AI – including the new National AI Initiative office, the European Commission’s Digital Services Act, and more.
Explore how to adopt the Power Platform at scale across a large organization, and discuss how administrators, architects, and program/project managers can govern, manage, and operate the Power Platform in service to their business-focused customers.
The discussion will include an overview of the current state of the platform, and dive into several of the tools and techniques used to manage and govern the platform, including the Power Platform Adoption Framework and the Center of Excellence (CoE) model.
Session Level: Intermediate
As the adoption of Teams is increasing along with that have increased the Teams sprawl. One of the methods to avoid the Teams Sprawl is to add the governance policies and automate the Teams creation via the approval process.
In this demo-driven session, we will cover how to implement Teams Governance using Power Automate, Microsoft Graph APIs, and SharePoint.
You will learn:
1) Microsoft Teams Governance via Automation
2) Automate Microsoft Team Provisioning using Power Automate, Microsoft Graph APIs, and SharePoint
3) Automate Microsoft Team Provisioning using Logic Apps, Microsoft Graph APIs, and SharePoint
Session Level: Advanced
IBM unveils watsonx.data integration and intelligence software to streamline and operationalize unstructured enterprise data for AI-driven innovation.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
In response to Europe’s complex data regulations, AWS has created a sovereign cloud offering high performance without compromising compliance or security.
With the launch of ASOR and its new Agent Partner Network, Workday is enhancing how organizations integrate and manage AI agents alongside human employees securely and efficiently.
IBM’s new lab in NYC focuses on responsible AI, cybersecurity, and supply chain solutions.
Snowflake doubles down on AI and data integration with sweeping new product launches to drive enterprise-wide AI adoption and long-term growth.
Community resource documents security vulnerabilities in the Model Context Protocol (MCP) while detailing ways to lock down the AI agent interoperability specification.
Snowflake, under CEO Sridhar Ramaswamy, is accelerating innovation with strong revenue growth, a full-stack data lifecycle strategy, and expanded AI and partner integrations unveiled at its recent Summit.
Security software leader weighs in on agent security considerations, his firm’s partnership with Microsoft for Copilot Studio, and security of emerging agent-to-agent communication protocols MCP and A2A.
Google Cloud applies AI to data management, integration of widely used developer environments, and enterprise-grade storage.
Marc Benioff is shifting Salesforce’s focus from cloud apps to AI-driven data solutions.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
Workday leaders Shane Luke and Ali Fuller discuss navigating GenAI in the enterprise, highlighting their Agent System of Record and a pragmatic three-phase customer adoption framework.
This week’s Build conference featured a new round of AI agent interoperability initiatives from Microsoft, with a particular focus on Model Context Protocol (MCP) and new servers.
Institute for Business Value delivers a detailed outlook on agents’ impact across a wide range of business functions, with the greatest impact forecast in customer service and human resources.
SAP leaders argue that agentic AI will enhance — rather than replace — enterprise applications by integrating seamlessly with data and AI capabilities.