Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
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Get Everyone On Board With Compliance Software

Purchasing a solution that transforms the way you work is valuable for everyone in your organization. You just need to help them understand what’s in it for them.

This cheat sheet will help you navigate the buy-in process by giving you key insights on what each stakeholder cares about, how they’ll benefit, and strategies to gain their support.

Get the right people on board and make your compliance software purchase smooth and successful.

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How Flexsteel Delivers Scalable 3D Customization Across 1,300+ Dealers

Flexsteel needed to bring 3D product visualization to its 1,300+ dealer network without overwhelming internal teams or adding vendor complexity. With one centralized platform, they deployed over 400 configurators, managed entirely by a single non-technical marketing specialist.

This case study breaks down the strategy, rollout, and results behind Flexsteel's scalable approach to 3D product configuration.

What you'll learn:

  • How one non-technical specialist manages 400+ configurators across every channel
  • The engagement metrics driving dealer adoption: 2:38 avg. session time, 6.9% BOM download rate
  • How eliminating vendor sprawl freed up internal resources and simplified operations
  • The ROI Flexsteel realized through 36,000+ monthly configurator sessions
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How Flexsteel Delivers Scalable 3D Customization Across 1,300+ Dealers

Flexsteel needed to bring 3D product visualization to its 1,300+ dealer network without overwhelming internal teams or adding vendor complexity. With one centralized platform, they deployed over 400 configurators, managed entirely by a single non-technical marketing specialist.

This case study breaks down the strategy, rollout, and results behind Flexsteel's scalable approach to 3D product configuration.

What you'll learn:

  • How one non-technical specialist manages 400+ configurators across every channel
  • The engagement metrics driving dealer adoption: 2:38 avg. session time, 6.9% BOM download rate
  • How eliminating vendor sprawl freed up internal resources and simplified operations
  • The ROI Flexsteel realized through 36,000+ monthly configurator sessions
View Now

How Flexsteel Delivers Scalable 3D Customization Across 1,300+ Dealers

Flexsteel needed to bring 3D product visualization to its 1,300+ dealer network without overwhelming internal teams or adding vendor complexity. With one centralized platform, they deployed over 400 configurators, managed entirely by a single non-technical marketing specialist.

This case study breaks down the strategy, rollout, and results behind Flexsteel's scalable approach to 3D product configuration.

What you'll learn:

  • How one non-technical specialist manages 400+ configurators across every channel
  • The engagement metrics driving dealer adoption: 2:38 avg. session time, 6.9% BOM download rate
  • How eliminating vendor sprawl freed up internal resources and simplified operations
  • The ROI Flexsteel realized through 36,000+ monthly configurator sessions
View Now

How Regulated Organisations Are Eliminating Compliance Overhead

Security teams operating under PCI DSS, ISO 27001, SOC 2 or Cyber Essentials Plus know the real challenge is not running penetration tests - it is proving they happened, documenting what was found, and showing remediation within a defined window. Most teams rebuild this evidence from scratch before every audit.

This case study from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, breaks down the compliance patterns that create the most overhead and shows what a continuously audit-ready programme looks like.

What you will learn:

  • Why evidence fragmentation is the top compliance time drain
  • Four failure modes that affect regulated organisations most
  • How platform-enabled testing programmes reduce manual effort by 30-50%
  • What practical, always-ready compliance looks like across fintech, healthtech and SaaS

Get the full case study to see a better model for compliance-ready security testing.

View Now

How Flexsteel Delivers Scalable 3D Customization Across 1,300+ Dealers

Flexsteel needed to bring 3D product visualization to its 1,300+ dealer network without overwhelming internal teams or adding vendor complexity. With one centralized platform, they deployed over 400 configurators, managed entirely by a single non-technical marketing specialist.

This case study breaks down the strategy, rollout, and results behind Flexsteel's scalable approach to 3D product configuration.

What you'll learn:

  • How one non-technical specialist manages 400+ configurators across every channel
  • The engagement metrics driving dealer adoption: 2:38 avg. session time, 6.9% BOM download rate
  • How eliminating vendor sprawl freed up internal resources and simplified operations
  • The ROI Flexsteel realized through 36,000+ monthly configurator sessions
View Now

Unlocking AI’s Potential Through Context Management

Context engineering was supposed to solve AI’s scalability challenges. Teams are building RAG pipelines, crafting prompt templates, and implementing memory systems—each application starting from scratch. As AI scales organization-wide, these tactical approaches hit fundamental limits: fragmented systems, inconsistent outputs, and no organizational context intelligence.

This keynote explores the essential building blocks of an enterprise context platform and introduces context management as the emerging discipline that changes how organizations approach this challenge.

Key Takeaways:

  • Understand the fundamental differences between metadata for humans and context for AI agents
  • Learn why current context engineering approaches create compounding technical debt that kills enterprise AI scaling
  • Discover the emerging architectural pattern that transforms context from bottleneck to competitive advantage
  • Explore the transformative possibilities that context management will unlock for enterprise AI
View Now

How IT Teams Build Resilient File Transfer Operations

One misconfigured backup. One untested restore. That's all it takes to turn a routine outage into a full-blown crisis for your file transfer workflows.

In this on-demand webinar, Jim Cashman, Product Manager for MOVEit Automation and a veteran IT director, shares a step-by-step maturity model for protecting the file movements your business depends on - from financial transactions and medical billing to insurance claims and partner data exchanges.

What you'll learn:

  • How to set RTO and RPO targets that align with your business requirements and compliance obligations
  • A practical backup strategy using the 3-2-1 rule - and how to test restores without accidentally running production tasks
  • How to set up a standby server for manual disaster recovery so you can restore service in minutes
  • When automated failover makes sense and how MOVEit Failover keeps two servers synced in near real time
  • A staging and testing methodology used by the most mature file transfer operations
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The AI Data Layer Your Support Team Has Been Missing

Most support organizations lose their richest source of intelligence the moment a remote session ends. Agents close tickets, type brief notes, and all the diagnostic context and resolution logic disappears.

ScreenMeet's AI Data Layer captures every remote support session as structured, AI-ready data inside the platforms you already trust

Simple to turn on. Fast to validate. Teams see value in weeks, not quarters.

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Why Leading IT Teams Are Moving Remote Support Inside ServiceNow

Separate remote support tools create a documentation gap that limits agent productivity and starves your AI of the data it needs. Every context switch is lost knowledge.

ScreenMeet is the ServiceNow-native remote support platform that eliminates that gap entirely. Sessions launch from incidents, run within ServiceNow workflows, and automatically capture comprehensive documentation through AI, all without agents lifting a finger.

Self-funding through productivity gains with typical payback in 6-12 months.

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Turn Healthcare Data Into Actionable Insights Securely and at Scale

Healthcare organizations sit on enormous volumes of clinical data spread across disconnected systems. Without the right architecture, that data stays siloed - slowing decisions, creating compliance risk and limiting patient outcomes.

In this article, you will learn:

  • How modern healthcare data pipelines move from paper records to unified digital ecosystems
  • Why ETL processes are critical for clinical data quality and consistency
  • How AI enables real-time processing, predictive analytics and smarter clinical decisions
  • What it takes to build HIPAA-compliant pipelines that balance accessibility with security

Read the full article for a practical look at how AI is reshaping healthcare data infrastructure from the ground up.

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How AI Code Fails at Scale and What Your Team Can Do About It

AI coding tools promise faster development, but without proper oversight, speed becomes a liability. When Amazon and Microsoft both faced major production failures from AI-assisted code, the lesson was clear: code generation is not the same as code understanding.

This white paper examines real-world incidents where AI-generated code passed initial checks but caused cascading system failures - and what engineering leaders can do to prevent it.

In this white paper, you'll learn:

  • Why AI-generated code looks reliable but fails under production complexity
  • Three critical AI programming limitations every dev team should understand
  • How unchecked speed leads to cascading production failures
  • A practical governance framework for safely integrating AI tools into your development workflow

Whether you're evaluating AI coding tools or already using them, this guide gives you the clarity to move fast without breaking production.

Get Whitepaper

How Regulated Organisations Are Eliminating Compliance Overhead

Security teams operating under PCI DSS, ISO 27001, SOC 2 or Cyber Essentials Plus know the real challenge is not running penetration tests - it is proving they happened, documenting what was found, and showing remediation within a defined window. Most teams rebuild this evidence from scratch before every audit.

This case study from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, breaks down the compliance patterns that create the most overhead and shows what a continuously audit-ready programme looks like.

What you will learn:

  • Why evidence fragmentation is the top compliance time drain
  • Four failure modes that affect regulated organisations most
  • How platform-enabled testing programmes reduce manual effort by 30-50%
  • What practical, always-ready compliance looks like across fintech, healthtech and SaaS

Get the full case study to see a better model for compliance-ready security testing.

View Now

Turn Healthcare Data Into Actionable Insights Securely and at Scale

Healthcare organizations sit on enormous volumes of clinical data spread across disconnected systems. Without the right architecture, that data stays siloed - slowing decisions, creating compliance risk and limiting patient outcomes.

In this article, you will learn:

  • How modern healthcare data pipelines move from paper records to unified digital ecosystems
  • Why ETL processes are critical for clinical data quality and consistency
  • How AI enables real-time processing, predictive analytics and smarter clinical decisions
  • What it takes to build HIPAA-compliant pipelines that balance accessibility with security

Read the full article for a practical look at how AI is reshaping healthcare data infrastructure from the ground up.

View Now