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Strategy Software We believe the combination of our operating structure, Bitcoin strategy, and focus on technology innovation provides a unique opportunity for value creation.

Strategy (Nasdaq: MSTR) is the world's first and largest Bitcoin Treasury Company, and the largest independent, publicly traded provider of business intelligence solutions. Strategy (NASDAQ: MSTR) – We are the world's first and largest Bitcoin Treasury Company, and the largest independent, publicly traded business intelligence company. Founded in 1989, we provide cloud-native, AI-powered enterprise analytics software to thousands of global enterprises, and leverage 35+ years of software expertise to explore innovation in Bitcoin applications. We rebranded from MicroStrategy to Strategy in February 2025. With over 25% of our workforce and nearly $100M annually dedicated to R&D, Strategy has issued over 80 patents. We are proud to serve millions of business users and thousands of companies across 20 industries around the world. Read more at www.strategysoftware.com

Strategy’s free, on-demand Semantic Layer learning path shows you how to architect a single, governed source of truth.Th...
10/05/2026

Strategy’s free, on-demand Semantic Layer learning path shows you how to architect a single, governed source of truth.

The workflow covers:
🔸 Connecting Data: Federate queries across cloud warehouses, databases, and SaaS apps without moving the underlying data
🔸 Building Models: Use AI to generate standardized metrics, attributes, and time hierarchies
🔸 Enforcing Governance: Apply row- and object-level security, and monitor access continuously with Mosaic Sentinel
🔸 Unifying Tools: Deliver the same numbers to Power BI, Tableau, Excel, SQL clients, and AI agents via MCP

Enroll for free today: https://software.strategy.com/education

🚨 Last day to save $600 on Strategy World 2027!Early-bird registration ends today: Join us March 29–April 1 in Orlando f...
09/30/2026

🚨 Last day to save $600 on Strategy World 2027!

Early-bird registration ends today: Join us March 29–April 1 in Orlando for four days of keynotes, customer stories, hands-on learning, executive networking, and conversations on what’s next for enterprise AI and data.

🎟️ Register today for just $895 before the early-bird rate ends!

🔗 Register now: strategy.com/world27/

⏰ Register for Strategy World 2027 at the early-bird rate!Join us March 29–April 1 in Orlando, Florida, for four days o...
09/29/2026

⏰ Register for Strategy World 2027 at the early-bird rate!

Join us March 29–April 1 in Orlando, Florida, for four days of visionary keynotes, real-world customer stories, hands-on learning, and executive networking.

Explore how organizations are bringing AI, analytics, and trusted business context together to drive real business value, with dedicated programming on Bitcoin for Corporations.

Register today for just $895 and save $600 before prices increase!

🔗 Register now: https://ow.ly/64lz50ZSGJR

What should banks look for in an AI-ready semantic layer?Scaling AI requires more than access to enterprise data. Banks ...
09/28/2026

What should banks look for in an AI-ready semantic layer?

Scaling AI requires more than access to enterprise data. Banks need consistent business definitions, reusable logic, strong governance, and reliable query generation to build trust in AI-driven decisions.

In our blog, we explore four essential capabilities an AI-ready semantic layer must provide to help financial institutions close the AI context gap and build a foundation for production-scale AI.

🔹 Governed definitions and shared business context
🔹 Reusable business logic across tools and applications
🔹 Consistent security, visibility, and audit trails
🔹 Model-independent query generation

Read the blog to learn what banks should consider when evaluating their AI data foundation: https://software.strategy.com/blog/what-an-ai-ready-semantic-layer-must-provide-in-banking

From conversational analytics to deeper query visibility, this month’s updates make it easier to explore governed data, ...
09/25/2026

From conversational analytics to deeper query visibility, this month’s updates make it easier to explore governed data, monitor performance, and manage analytics with confidence.

In our latest monthly update, discover how new capabilities across Explorer, Mosaic, and BI help teams:
→ Ask business questions in natural language and get governed answers with Explorer
→ Gain deeper visibility into query performance across BI tools, Agents, and applications with Mosaic Sentinel
→ Improve data discovery and reuse with richer dataset context and parameterized metrics
→ Validate analytics changes with expanded regression testing in Test Center

Explore the September updates and see what’s new: https://ow.ly/Zyvm50ZQRGg

Banks are investing in semantic layers to solve problems that already cost them time, trust and consistency. The strong...
09/24/2026

Banks are investing in semantic layers to solve problems that already cost them time, trust and consistency.

The strongest drivers are: standardized metric definitions, KPIs, a single source of truth, faster reporting, and stronger governance.

Read the American Banker whitepaper, The Data Foundation Banks Need for AI Scale, courtesy of Strategy: https://ow.ly/Rl6u50ZQRn3

What do AI agents need before they can safely work with enterprise data?They need trusted business context, consistent d...
09/22/2026

What do AI agents need before they can safely work with enterprise data?

They need trusted business context, consistent definitions, and the right governance controls.

Join Strategy’s Francisco de la Cruz on September 25 at 12 PM EST | September 29 at 10 AM BST for a live session on connecting Claude and Gemini to Strategy Mosaic models through the Model Context Protocol (MCP).

You’ll see how AI agents can:
🔹 Discover available Mosaic models and their business context
🔹 Understand metrics, relationships, and definitions
🔹 Query governed data while respecting existing security controls

The session will also cover the connection setup and demonstrate natural-language queries against a published Mosaic model, giving you a practical look at how MCP can connect AI agents with trusted, governed data.

See the demo and learn how to connect AI agents to governed data: https://ow.ly/JPfZ50ZOZU5

75% of banking and financial services leaders say inconsistent metric definitions limit their ability to scale AI.When “...
09/21/2026

75% of banking and financial services leaders say inconsistent metric definitions limit their ability to scale AI.

When “customer,” “revenue,” or “risk exposure” can mean different things across teams and systems, AI can produce an answer that is technically correct but based on the wrong business logic.

Our latest blog explores why connected data alone isn’t enough and how a governed AI semantic layer can provide the shared definitions, business logic, and context AI needs to deliver more consistent results.

For banks, trusted AI starts with agreeing on what the data means.

Read the full blog: https://ow.ly/on3o50ZO8IQ

What happens when AI agents need access to enterprise data?Giving an agent direct access to raw tables can create proble...
09/18/2026

What happens when AI agents need access to enterprise data?

Giving an agent direct access to raw tables can create problems fast: inconsistent definitions, unclear context, and access to data it shouldn’t see.

Join Strategy’s Francisco de la Cruz for a live session on September 25 at 12 PM EST | September 29 at 10 AM BST covering how to connect AI tools like Claude and Gemini to Strategy Mosaic models through the Model Context Protocol (MCP).

You’ll see how agents can:
🔹 Discover published Mosaic models and their business context
🔹 Understand metric definitions and relationships
🔹 Query trusted data using natural language
🔹 Apply the same row-level and object-level security as human users

Register now: https://ow.ly/5osM50ZO8HO

Everyone’s talking about semantic layers.As semantic layers move from a technical architecture discussion to a strategic...
09/17/2026

Everyone’s talking about semantic layers.

As semantic layers move from a technical architecture discussion to a strategic priority for data and AI leaders, having a clear understanding of what they are, why they matter, and how they support trusted AI is becoming increasingly important.

Read our blog by Beata Socha where we break it down in plain language, covering:
🔹 What a semantic layer actually is
🔹 How it creates consistent meaning across data, analytics, and AI
🔹 Why shared business context matters as AI scales
🔹 How governance and independence fit into the picture

Read the full post: https://ow.ly/MnU450ZO8Fp

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