Data Quality

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The hidden cost of AI adoption: Why most companies overestimate readiness

Everyone says they need AI, but most aren’t ready — the hard part isn’t the model, it’s the messy middle that makes it work.

By Oreoluwa Adesanya

Feb 26, 20269 mins

Data GovernanceData QualityIT Governance

Articles

5 IT shifts every CIO must master this year

This year’s IT playbook is clear: Hybrid everywhere, AI guarding security, data treated like a product, automation doing the heavy lifting and compute moving to the edge.

By Justin Giardina

Feb 3, 2026 8 mins

Data QualityEdge ComputingHybrid Cloud

Data management trends: What’s in, what’s out

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of their data.

By Bob Violino

Jan 29, 2026 10 mins

AnalyticsData GovernanceData Quality

How to get your enterprise architecture ready for agentic AI

While C-suite leaders say they're investing in agentic AI, the complex enterprise architectures of large organizations often struggle with the tech’s demands. Closing the gap requires tech leaders to enhance architectural maturity with focused interventions, and add new capabilities while keeping an eye on technical debt, data quality, and integration.

By Koenraad Schelfaut and Andrew Long

Jan 22, 2026 6 mins

AccentureC-SuiteCIO

From static workflows to intelligent automation: Architecting the self-driving enterprise

When bots break because a button moves, it’s time for smarter, goal-based automation that can see, think and recover like a human.

By Hari Om Garg

Jan 20, 2026 9 mins

Data GovernanceData QualityRobotic Process Automation

How to Weave Your Data Fabric in Three Steps

Data volumes are exponentially growing. Take control and gain insights faster with a data fabric.

By Madhup Mishra

Oct 28, 2021

Data Quality

What’s in, what’s out: Data management in 2026 has a new attitude

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

By Daniel Avancini

Jan 16, 2026 7 mins

Business IntelligenceData GovernanceData Quality

Why CIOs need a new approach to unstructured data management

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

By Carl D’Halluin

Jan 16, 2026 7 mins

Artificial IntelligenceData GovernanceData Quality

Beyond the hype: 4 critical misconceptions derailing enterprise AI adoption

AI isn’t failing because it’s immature. It’s failing because companies overestimate readiness, expect magic ROI, ignore data quality and treat AI like old-school software.

By Assad Mansour

Jan 14, 2026 12 mins

Artificial IntelligenceData GovernanceData Quality

When it comes to AI, not all data is created equal

Companies collect data for years in hopes of someday making use of it. With gen AI, the time has come, but the hard work is just beginning.

By Maria Korolov

Jan 14, 2026 8 mins

Data QualityData and Information SecurityGenerative AI

The 37-point trust gap: It’s not the AI, it’s your organization

If some developers trust AI and others don’t, the problem isn’t the models — it’s whether their organizations give them the right data, platforms and guardrails.

By Pete Johnson

Jan 9, 2026 6 mins

Artificial IntelligenceData QualityIT Governance

MCSP buyer’s guide: 6 top managed cloud services providers — and how to choose

Our buyer's guide will help you select the right managed cloud services provider for your needs.

By Linda Rosencrance

Jan 9, 2026 10 mins

Data QualityManaged Cloud ServicesVendor Management

7 changes to the CIO role in 2026

CIOs will continue to gain in stature as they take an even bigger lead on AI-powered enterprise transformations.

By Maria Korolov

Jan 7, 2026 9 mins

C-SuiteCIOChange Management

From integration pain to partnership gain: How collaboration strengthens cybersecurity

Cybersecurity remains a top priority for CIOs going into 2026, but the right approach isn’t al-ways obvious. Business partners can jumpstart innovation, yet poor use of data-driven frame-works can undermine security efforts and the collaboration itself.

By Kate Vitasek

Dec 31, 2025 6 mins

C-SuiteCIOCyberattacks

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Data Quality

The hidden cost of AI adoption: Why most companies overestimate readiness

It’s not your AI that’s failing. It’s your data

AI isn’t failing, people are failing with AI

More than data, decision intelligence is your competitive advantage

Why most agentic AI projects stall before they scale

Proving AI deployment value needs a more strategic approach

Where AI differentiation actually comes from

Geopatriation and sovereign cloud: how data returns to the source

CX, AI and the data trap: Why your best customers are slipping away

Articles

5 IT shifts every CIO must master this year

Data management trends: What’s in, what’s out

How to get your enterprise architecture ready for agentic AI

From static workflows to intelligent automation: Architecting the self-driving enterprise

How to Weave Your Data Fabric in Three Steps

What’s in, what’s out: Data management in 2026 has a new attitude

Why CIOs need a new approach to unstructured data management

Beyond the hype: 4 critical misconceptions derailing enterprise AI adoption

When it comes to AI, not all data is created equal

The 37-point trust gap: It’s not the AI, it’s your organization

MCSP buyer’s guide: 6 top managed cloud services providers — and how to choose

7 changes to the CIO role in 2026

From integration pain to partnership gain: How collaboration strengthens cybersecurity

The hidden cost of AI adoption: Why most companies overestimate readiness

It’s not your AI that’s failing. It’s your data

AI isn’t failing, people are failing with AI

More than data, decision intelligence is your competitive advantage

Why most agentic AI projects stall before they scale

Proving AI deployment value needs a more strategic approach

Where AI differentiation actually comes from

Geopatriation and sovereign cloud: how data returns to the source

CX, AI and the data trap: Why your best customers are slipping away

Articles

5 IT shifts every CIO must master this year

Data management trends: What’s in, what’s out

How to get your enterprise architecture ready for agentic AI

From static workflows to intelligent automation: Architecting the self-driving enterprise

How to Weave Your Data Fabric in Three Steps

What’s in, what’s out: Data management in 2026 has a new attitude

Why CIOs need a new approach to unstructured data management

Beyond the hype: 4 critical misconceptions derailing enterprise AI adoption

When it comes to AI, not all data is created equal

The 37-point trust gap: It’s not the AI, it’s your organization

MCSP buyer’s guide: 6 top managed cloud services providers — and how to choose

7 changes to the CIO role in 2026

From integration pain to partnership gain: How collaboration strengthens cybersecurity

Resources

Hidden Cost of QuickBooks

Ansible Automates New York

Crafting a business blueprint for AI transformation

Video on demand

How EXL uses agentic AI to transform enterprise data management

RelationalAI transforms enterprise data in Snowflake via GenAI, knowledge graphs