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Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit.

"The path to success is clear: businesses must break down data silos and automate workflows to thrive in the age of AI," said Jitterbit President and CEO Bill Conner. "While many organizations still struggle to find the resources across IT, IS, and line-of-business teams to bridge this 'data divide,' the opportunity for those who can is immense. We're on the cusp of a new era of efficiency and innovation, driven by true end-to-end AI automation."

Key findings include:

A Growing Data Divide

67% of enterprises today deploy over 500 applications, creating significant data silos.

70% of resource demand for enterprise automation falls to IT teams.

99% of IT leaders acknowledge the need for seamless integration and automation, yet 71% still lack a unified platform to achieve it. 

Increasing Importance of Self-Sufficiency for Line-of-Business Leaders

97% of IT leaders recognize the importance of empowering non-technical users to build, deploy, and maintain applications and integrations, ensuring faster time to value.

Agentic AI on the Horizon

99% of enterprises have integrated AI into their operations; early-adopter organizations increasingly see agentic AI as the next frontier.

31% of enterprises are already planning for agentic AI, signaling the next wave of autonomous decision-making enterprise AI solutions, which require end-to-end AI.

IT's Biggest Challenges

Cybersecurity, data privacy, scaling, resources and compliance remain the top concerns for IT leaders navigating the AI-powered automation landscape.

50% of IT leaders cite vulnerabilities in AI-powered, third-party integrations as their top data security concern. This underscores the urgent need for robust AI security protocols, platform security controls and accountability processes.

"Legacy automation, designed to execute isolated tasks, is no longer sufficient enough to keep up with modern business demands," said Jitterbit CTO Manoj Chaudhary. "Agentic AI is driving a fundamental shift — moving from task-based automation to intelligent automation with adaptive workflows that drive real business outcomes. By leveraging AI-driven decision-making, enterprises can break free from data silos and IT bottlenecks, enabling seamless end-to-end automation."

Methodology: The survey, conducted by Censuswide Research, gathered insights from 1,000 IT decision-makers in the US and UK.

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Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

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While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit.

"The path to success is clear: businesses must break down data silos and automate workflows to thrive in the age of AI," said Jitterbit President and CEO Bill Conner. "While many organizations still struggle to find the resources across IT, IS, and line-of-business teams to bridge this 'data divide,' the opportunity for those who can is immense. We're on the cusp of a new era of efficiency and innovation, driven by true end-to-end AI automation."

Key findings include:

A Growing Data Divide

67% of enterprises today deploy over 500 applications, creating significant data silos.

70% of resource demand for enterprise automation falls to IT teams.

99% of IT leaders acknowledge the need for seamless integration and automation, yet 71% still lack a unified platform to achieve it. 

Increasing Importance of Self-Sufficiency for Line-of-Business Leaders

97% of IT leaders recognize the importance of empowering non-technical users to build, deploy, and maintain applications and integrations, ensuring faster time to value.

Agentic AI on the Horizon

99% of enterprises have integrated AI into their operations; early-adopter organizations increasingly see agentic AI as the next frontier.

31% of enterprises are already planning for agentic AI, signaling the next wave of autonomous decision-making enterprise AI solutions, which require end-to-end AI.

IT's Biggest Challenges

Cybersecurity, data privacy, scaling, resources and compliance remain the top concerns for IT leaders navigating the AI-powered automation landscape.

50% of IT leaders cite vulnerabilities in AI-powered, third-party integrations as their top data security concern. This underscores the urgent need for robust AI security protocols, platform security controls and accountability processes.

"Legacy automation, designed to execute isolated tasks, is no longer sufficient enough to keep up with modern business demands," said Jitterbit CTO Manoj Chaudhary. "Agentic AI is driving a fundamental shift — moving from task-based automation to intelligent automation with adaptive workflows that drive real business outcomes. By leveraging AI-driven decision-making, enterprises can break free from data silos and IT bottlenecks, enabling seamless end-to-end automation."

Methodology: The survey, conducted by Censuswide Research, gathered insights from 1,000 IT decision-makers in the US and UK.

Hot Topics

The Latest

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...