State of Context Management Report 2026

DataHub commissioned independent research firm TrendCandy to survey 250 IT and data leaders about the state of context management in 2026. The findings reveal a market at an inflection point: high confidence, real infrastructure gaps, and a correction already underway.

What you'll learn:

  • Why organizations that self-assess at the highest stage of context management maturity still struggle with the fundamentals
  • How “good enough” context solutions that work in pilots consistently break down at production scale
  • Why 83% of IT and data leaders now believe agentic AI cannot reach production value without a dedicated context platform
  • What the surge in context management infrastructure investment reveals about where the market is heading
  • The three imperatives for data and IT leaders in 2026
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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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State of Context Management Report 2026

DataHub commissioned independent research firm TrendCandy to survey 250 IT and data leaders about the state of context management in 2026. The findings reveal a market at an inflection point: high confidence, real infrastructure gaps, and a correction already underway.

What you'll learn:

  • Why organizations that self-assess at the highest stage of context management maturity still struggle with the fundamentals
  • How “good enough” context solutions that work in pilots consistently break down at production scale
  • Why 83% of IT and data leaders now believe agentic AI cannot reach production value without a dedicated context platform
  • What the surge in context management infrastructure investment reveals about where the market is heading
  • The three imperatives for data and IT leaders in 2026
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
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AI Is Live In Production. Is Your Identity Stack Ready?

AI agents, copilots, and AI-powered features are already touching customer data and internal systems. Yet 88% of leaders say their identity and security infrastructure is behind, and the most confident teams report the most incidents.

The 2026 State of AI and Identity Report draws on responses from more than 300 technology and security leaders to show where that gap turns into real risk, and what the teams who contain it do differently.

In this report, you will learn:

  • Why identity risk spikes when AI moves from pilot to pervasive use
  • How the confidence-reality gap leaves mature-looking organizations exposed
  • Why comprehensive policies and processes are not enough on their own
  • How leading teams rethink deployment, isolation, and machine identity
  • The 9 architecture questions to ask any identity vendor
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The EHS Leader’s Guide to Safety System Modernization

Legacy safety systems create blind spots that slow down reporting, fragment data, and leave your teams reacting to incidents instead of preventing them.

This guide from Intelex gives EHS leaders a clear framework for evaluating their current system and understanding what a modern safety platform should deliver.

In this guide, you will learn:

  • The key warning signs your safety system has blind spots, from manual compliance tracking to limited real-time visibility
  • What a modern safety system should deliver across eight critical capabilities, including mobile reporting, automated workflows, and real-time dashboards
  • The cost of doing nothing, with OSHA fines up to $165,514, average injury costs of $40,000, and unplanned downtime at $220K per hour
  • How to build the ROI case for modernization with data-backed benchmarks from Verdantix research
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Creating and Sustaining a Safety Culture

Every organization wants a safe working environment. But there is a gap between having a safety strategy and having a culture where employees live and breathe safety in how they work every day.

This mini-guide from Intelex gives EHS leaders a practical framework for closing that gap and building a safety culture that sticks.

In this guide, you will learn:

  • Why even robust safety strategies fail when culture is not aligned and how to bridge the gap
  • How leadership sets the tone for safety culture and why accountability must start at the top
  • Why safety communication must focus on the why as much as the how to drive real behavior change
  • The five building blocks of an effective safety culture: compliance, capability development, communication, management involvement, and measurement
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The EHSQ Field Guide for Pharmaceuticals

In pharma, compliance challenges rarely stem from a single issue. Fragmented systems make it hard to trace work end-to-end, and when teams treat incidents, audits, and CAPAs as isolated tasks, problems get fixed locally instead of reduced across sites.

This guide from Intelex walks through seven scenarios pharma EHSQ teams face and shows how connecting safety, quality, and operations changes the outcome.

In this guide, you will learn:

  • How to manage incidents that become quality deviations without creating conflicting records
  • Why compliance processes break down when auditors arrive and how to fix it
  • How to handle Management of Change so improvements do not introduce new risk
  • How to standardize reporting across global sites while respecting local regulations
  • Ways to turn audit findings into preventive action instead of repeating fixes site by site
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2026 EHS Trends and Priorities: What Energy Sector Leaders Need to Know

New research from Intelex reveals where EHS is headed - and what it means for energy companies navigating AI adoption, tighter regulations, and a shifting workforce.

Based on a survey of 864 senior EHS professionals across North America and Europe, this report delivers sector-specific benchmarks and actionable insights for 2026.

In this report, you'll learn:

  • How executive engagement in energy compares to other industries and why it matters for EHS effectiveness
  • The safety culture approaches gaining traction - including a 42% higher rate of peer-to-peer accountability in energy
  • Where AI and IoT are driving real improvements and where implementation challenges remain
  • What 75% of respondents say about the growing EHS talent shortage and the skills they need next
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2026 EHS Trends and Priorities: What Manufacturers Need to Know

New research from Intelex reveals where EHS is headed - and what it means for manufacturers navigating AI adoption, tighter regulations, and a shifting workforce.

Based on a survey of 864 senior EHS professionals across North America and Europe, this report delivers manufacturing-specific benchmarks and actionable insights for 2026.

In this report, you'll learn:

  • Why manufacturing leads other industries in executive EHS engagement at 73% and how to sustain it
  • The safety culture approaches gaining traction - with 46% of manufacturers relying on mandatory protocols
  • Where AI and IoT are driving real improvements and where implementation challenges remain
  • What 85% of manufacturing respondents say about workforce engagement as the top ROI driver
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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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The Complete Guide To AI-Enhanced ServiceNow Workflow Automation

Most organizations barely scratch the surface of ServiceNow workflow automation. They build basic if-then rules while missing the AI-powered capabilities that transform what automation can accomplish.

This guide covers the full journey from foundational flows to autonomous AI agents, with practical frameworks at every stage:

  • Three stages of workflow maturity: basic automation, intelligent orchestration, and AI-powered transformation with Predictive Intelligence and Now Assist
  • Flow Designer vs. Classic Workflow: when to use each, migration strategy, and best practices for resilient, maintainable automation
  • AI-enhanced workflows in practice: how Predictive Intelligence, Now Assist, and AI Agent Studio work together to route, resolve, and learn autonomously
  • The training data challenge: why AI capabilities plateau and how platform-native session intelligence closes the gap
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Why IT Teams Are Tossing Out TeamViewer And Switching To Platform-Native Remote Support

TeamViewer creates an intelligence black hole. Every remote support session happens in a separate system your platform AI can't see, and with only 33% enterprise adoption, two-thirds of your support data never reaches your AI at all.

This guide breaks down the real cost of consumer-built remote support and what changes when you go platform-native:

  • The AI Acceleration Loop: how platform-native support creates compounding intelligence that consumer tools can't match
  • Four break points where TeamViewer kills your AI learning pipeline
  • Security vulnerabilities from consumer-first architecture, including the June 2024 corporate IT breach
  • Compliance gaps that leave your audit team without answers on data residency, consent logging, and session documentation
  • Real-world results from ServiceNow, Salesforce, OpenTable, and Ontario Teachers' Pension Plan
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Break Up With BeyondTrust. Unlock Your Platform AI.

BeyondTrust's appliance-based architecture traps troubleshooting intelligence outside your ITSM platform. Your AI can't learn from what it can't see, and your platform investment delivers a fraction of its potential.

This guide breaks down the real cost of bolt-on remote support and what changes when you go platform-native:

  • The AI plateau: why Now Assist and Agentforce stop improving when session data stays siloed
  • Security architecture risks exposed by BeyondTrust's December 2024 breach (17 customers compromised)
  • Workflow fragmentation that drives up to 40% productivity loss from constant context switching
  • Infrastructure overhead that turns your IT team into appliance managers instead of platform strategists
  • Real-world results from ServiceNow, Salesforce, OpenTable, and Ontario Teachers' Pension Plan
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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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