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5 Data & AI governance trends every CDO should be watching in 2026
Data Protection

5 Data & AI governance trends every CDO should be watching in 2026

Data quality is overtaking AI as a top concern in 2026, with CDOs under pressure to prove the information behind automated decisions is trustworthy.

By Edmund Ng • 5 min read • 5 days ago
Why data governance use cases fail without accurate data
Data Protection

Why data governance use cases fail without accurate data

Enterprises risk wasted spending and bad decisions because governance frameworks cannot fix inaccurate data already in their systems.

By Edmund Ng • 5 min read • Last week
Why Customer 360 initiatives fail to deliver ROI
Customer Relationship Management

Why Customer 360 initiatives fail to deliver ROI

Poor data quality, not platform failure, is usually why Customer 360 programmes miss expected returns and erode trust across teams.

By Edmund Ng • 6 min read • Last week
Why Every Chief Data Officer Needs a Modern Data Quality Strategy for AI
Data Protection

Why Every Chief Data Officer Needs a Modern Data Quality Strategy for AI

Poor data quality is now a business risk for Chief Data Officers, undermining AI, customer service and compliance across the enterprise.

By Bobby Joseph • 6 min read • Last week
5 Tips to Align Your Data Strategy with AI
Data Protection

5 Tips to Align Your Data Strategy with AI

Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.

By Bobby Joseph • 5 min read • Last month
Litera launches Clean+ cloud metadata tool for firms
Software-as-a-Service

Litera launches Clean+ cloud metadata tool for firms

Law firms can now cut hidden document data from Outlook attachments without maintaining their own server infrastructure.

By Sofiah Nichole Salivio • 4 min read • Last month
When Agents act on bad data, the damage is automatic
Digital Transformation

When Agents act on bad data, the damage is automatic

Bad contact records can send autonomous AI workflows off course, with errors compounding across thousands of customer actions at once.

By Bobby Joseph • 6 min read • Last month
Ramp launches Applied AI Solutions for finance teams
Software-as-a-Service

Ramp launches Applied AI Solutions for finance teams

Finance teams could see faster automation as Ramp places engineers inside clients to build bespoke AI systems on its platform.

By Karen Joy Bacudo • 4 min read • Last month
The 6-step AI readiness checklist
Data Analytics

The 6-step AI readiness checklist

Poor data quality could cost supply chains millions a year, and AI will only magnify errors unless records are cleaned first.

By Edmund Ng • 5 min read • Sat, 23rd May 2026
Epicor expands Ascend with AI for 90-day ERP go-live
Digital Transformation

Epicor expands Ascend with AI for 90-day ERP go-live

Cloud ERP customers could see deployments compressed to 90 days as Epicor adds AI tools to speed migration and cut disruption.

By Sean Mitchell • 4 min read • Wed, 20th May 2026
Data matching explained: The key to clean, connected data
Customer Relationship Management

Data matching explained: The key to clean, connected data

Poor data is costing firms millions, making record matching vital for cleaner datasets, better decisions and lower compliance risk.

By Bobby Joseph • 6 min read • Wed, 20th May 2026
Data enrichment: Turning raw data into real intelligence
Data Protection

Data enrichment: Turning raw data into real intelligence

Better customer targeting and fraud detection are among the gains as firms turn incomplete records into usable intelligence.

By Bobby Joseph • 6 min read • Wed, 13th May 2026
Is your data ready for AI? 5 steps before deploying an agent
Data Protection

Is your data ready for AI? 5 steps before deploying an agent

Poor data can make AI agents scale errors at speed, leaving customer-facing systems unreliable and potentially non-compliant.

By Bobby Joseph • 6 min read • Thu, 7th May 2026

Stories from Other Regions

Data cleaning stories

How mid-sized companies can build an effective data quality framework
Data Analytics

How mid-sized companies can build an effective data quality framework

Bad data is costing Australian firms about AUD A$493,000 a year and slowing decisions in mid-sized businesses.

By Bobby Joseph • 6 min read • Last month
Eebz launches AI models with GBP £10 million boost
Digital Transformation

Eebz launches AI models with GBP £10 million boost

The £10 million funding is meant to help brands cut eCommerce data errors, speed up insights and track SKU-level changes in real time.

By Mark Tarre • 4 min read • Mon, 18th May 2026
From data overload to profit: Making insights actionable
Software-as-a-Service

From data overload to profit: Making insights actionable

Poor-quality customer records are skewing AI and costing retailers money, despite many firms still not trusting the data behind decisions.

By Barley Laing • 4 min read • Thu, 14th May 2026
Acquirz hires data & AI chief after Marketscan deal
Customer Relationship Management

Acquirz hires data & AI chief after Marketscan deal

The new hires are set to support Acquirz’s expansion after buying Marketscan, with AI and campaign expertise to help scale client services.

By Sofiah Nichole Salivio • 3 min read • Wed, 6th May 2026