Data and Data Management

Efficient data management, encompassing the systematic collection, organization, and retrieval of data, is fundamental for enhancing productivity, efficiency, and informed decision-making. Regardless of their scale or industry, organizations benefit significantly from implementing a robust data management strategy and adopting a modern data management system. This ensures streamlined operations and optimized use of information, facilitating better decision-making processes. The integration of Enterprise Resource Planning (ERP) solutions further enhances the effectiveness of data management, providing organizations with comprehensive tools to manage and utilize data seamlessly across various facets of their operations.

Cloud Platform and Technology
Microsoft Maia 200 Inference Accelerator Targets AI Economics at Enterprise Scale
Microsoft's Maia 200 inference accelerator, built on TSMC's 3-nanometer process, boasts 30% improved performance per dollar over prior hardware, featuring advanced specifications aimed at optimizing AI model efficiency.
Microsoft logo displayed on a dark sign mounted on a concrete wall
Analytics and AI
Microsoft Data Security Index 2026: AI Adoption Is Outpacing Data Security Controls
Microsoft’s 2026 Data Security Index shows generative AI adoption accelerating faster than data security controls, exposing governance and visibility gaps across enterprise environments.
Analytics and AI
Blue Yonder Taps Kelley Lear to Lead Global Alliances, Scale AI-Driven Supply Chain Ecosystem with Microsoft
Kelley Lear's appointment as corporate VP at Blue Yonder aims to enhance a 300-plus partner ecosystem focused on AI-driven supply chain solutions with Microsoft, emphasizing innovation, strategic alliances, and the use of agentic AI for better partner intelligence.
Analytics and AI
Microsoft Research Maps 2026 AI Agenda: From Lab Assistants to Trusted Agents
Microsoft Research forecasts 2026 as a pivotal year where AI evolves into collaborative 'digital coworkers' across sectors, emphasizing security, agentic systems, and quantum advancements that align with human-centered goals and redefine enterprise resource planning.
Analytics and AI
Microsoft’s Canada Investment Puts Digital Sovereignty to Work
On December 9, 2025, Microsoft announced a C$7.5 billion investment to enhance AI and cloud infrastructure in Canada, building on a broader C$19 billion program, aiming to support digital sovereignty and local AI development while contributing to sustainability.
Analytics and AI
ServiceNow Advances Enterprise AI Through Integrations with Microsoft
ServiceNow announced integrations with Microsoft, including Microsoft Agent 365, to create seamless AI orchestration and governance for businesses, enabling autonomous workflows and visibility across Microsoft 365 and the ServiceNow AI Platform.
Application Development and Integration
SAP, Microsoft Tighten Their Data Fabric to Boost AI Value for the Enterprise
SAP and Microsoft are enhancing their partnership with SAP Business Data Cloud Connect for Microsoft Fabric to enable bi-directional data sharing without replication, facilitating immediate access to SAP data for analytics and AI within a unified platform that supports cross-cloud interoperability and improved user experience.
Crowd at the Snowflake 2022 Summit looking at a screen of the Snowflake logo. SNP SAP Cloud
Data and Data Management
Chris Niederman to Lead Snowflake’s Alliances & Channels Business
Snowflake has appointed Chris Niederman as Senior Vice President of its Alliances & Channels business, effective July 21, 2025, to enhance its global partner system and drive growth through Snowflake AI Data Cloud amidst a rapidly expanding partner network.
Samsara Data-Driven
Data and Data Management
Adeptia’s Innovation Engine: Deepak Singh on Simplifying Data Integration for the Modern Enterprise
Adeptia, an enterprise-class data integration platform led by Deepak Singh, distinguishes itself with a no-code, drag-and-drop interface that empowers non-technical users to automate data connections without heavy IT reliance, offering flexible deployment options and AI-driven automation to enhance operational efficiency and customer experience.
CData and Microsoft Fabric
Data and Data Management
Breaking the Chains of Data Fragmentation with Microsoft Fabric and CData Sync
Mid-market organizations struggle with fragmented data across systems without dedicated IT support, but by integrating CData Sync with Microsoft Fabric, they can centralize and automate data management, significantly reducing manual effort and improving analytics for better strategic decision-making.
room full with safes glowing in yellow
Data and Data Management
SAP Archiving in Microsoft Azure: Where to Start?
As enterprises embrace cloud solutions, integrating SAP archiving with platforms like Microsoft Azure has become a priority for many.
abstract image of lights | integration strategy
Data and Data Management
The Quantum Leap: How Quantum Computing Will Transform Enterprise Software
Enterprise software is poised for a transformation due to quantum computing, which enables faster data analysis and optimization that outpaces traditional computing, with major companies like IBM, Google, and Microsoft spearheading research and pilot programs while addressing challenges such as hardware limitations and talent shortages.
Microsoft logo on a black front door | Cognizant and Microsoft expand partnership
Cloud Platform and Technology
Microsoft and Oracle expand multi-cloud partnership with new Database@Azure integrations
At Microsoft Ignite 2024, Microsoft and Oracle announced an expanded partnership featuring enhanced Oracle Database@Azure capabilities for data governance, analytics, and AI, integrating with Microsoft Purview for secure data management, introducing new networking features for enterprise security, and expanding availability across nine regions, while also planning to further enhance their collaboration with Exadata services.
people at a car dealership
Data and Data Management
Case study: Transforming data to drive resilience and trust with Microsoft
In this case study by EY, you can learn how the team used tools and apps from across the Microsoft ecosystem to support seamless data integration, to help achieve the goal of eventually moving toward a centralized system that offered a holistic view of the customer. This enabled Suzuki to continue developing a seamless, future-fit platform with a portfolio of business applications, including finance, supply chain, and human resources.
Image of a hand reaching into a fridge full of appealing looking food, in date. | LLM data
Data and Data Management
LLM use-by data – who’s keeping the data up to date?
Your chatbot is leveling up, but who's keeping the data up to date for our LLMs? Microsoft, Google and specialist researchers give their take.
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