Merit Data and Technology Ltd

DATA + CODE for an AI World.

Achieve your strategic and operational business goals with Merit's trusted data solutions, powered by AI and enhanced by humans.

[Merit Data and Technology Ltd @Meritdatatech]

Read the full case study. Link in the first comment.

#DataEngineering #AutomotiveData #DataPlatform #Azure #AI #DataIntegration

https://t.co/tTaAxWEEjN

[Merit Data and Technology Ltd @Meritdatatech]

15+ systems. 50 countries. 1TB+ of data with no single source of truth. That was the #challenge for a leading #automotive business #intelligence provider in the UK and Europe. Read the full case study: https://t.co/tTaAxWEEjN
#AI #DataIntegration

[Merit Data and Technology Ltd @Meritdatatech]

The real difference is in the foundation. One trusted source of truth means less time reconciling systems, and data that is ready for the analysis and reporting that depend on it.

Fragmented data is not a blocker. It is an engineering problem, and one we enjoy solving.

[Merit Data and Technology Ltd @Meritdatatech]

Patching around that does not scale. So we unified it, building a #data platform on #Azure with automated integration, custom #AI/ML for data mapping and classification, and robust data extraction modules.
What changed:
15+ #systems harmonised
1TB+ scalable Data Lake capacity

[Merit Data and Technology Ltd @Meritdatatech]

No assumptions. Just evidence and practical takeaways.

Thursday 26 November 2026
10:00 AM UK time
Live session with time for audience questions
https://t.co/cPrnj2SvHt

[Merit Data and Technology Ltd @Meritdatatech]

Your contact #database may hold millions of records.
That does not mean it holds the people you need. So where exactly does platform data fall short? And what changes when the same audience is #researched #live?
That is what our upcoming research-led #webinar sets out to answer.

[Merit Data and Technology Ltd @Meritdatatech]

Download: https://t.co/WTteL0Kjwn

[Merit Data and Technology Ltd @Meritdatatech]

A model that’s 95% accurate makes 5,000 errors across 100,000 daily decisions. That’s the gap between an #AI pilot and production-ready AI. Our guide explores the engineering challenges, real-world deployments and readiness checks needed to scale AI reliably.
#EnterpriseAI #MLOps

[Merit Data and Technology Ltd @Meritdatatech]

Your #AI pilot probably did not fail because of the model. That is not what most post-mortems say. But if you have spent any time around an #enterprise AI programme, you have likely watched this play out. https://t.co/KoL8mTbZFF
#DataStrategy #AIROI

[Merit Data and Technology Ltd @Meritdatatech]

The fastest growing #automotive market on your shortlist might be the wrong one to enter. Whether you are an #OEM, an #EV start-up or an aftermarket distributor, the real question is not “where is demand rising?” It's “where does #demand match what we sell?”
#AutomotiveIndustry

[Merit Data and Technology Ltd @Meritdatatech]

A model that merely sounds convincing is easy to build. What matters to enterprise clients is whether that output can be audited, defended, and traced back to verifiable evidence. Plausibility gets you through a demo. Traceability is what lets you survive an audit.
#AIGovernance

[Merit Data and Technology Ltd @Meritdatatech]

A #model that sounds right is easy to build. A model that is right, and can prove it, is a very different job. Tharun Mathew, our Head of #Data & #AI Solutions, explains why traceability matters in #enterprise AI.
#EnterpriseAI #MeritDataTech

[Merit Data and Technology Ltd @Meritdatatech]

“Coming from a data #engineering background, you learn very early on that trust is not a feeling, it is lineage. If you cannot trace a number back to its source, it does not belong in production.
The exact same standard applies to #AI.”
#DataQuality

[Merit Data and Technology Ltd @Meritdatatech]

80% of healthcare AI leaders think their people are ready. Only 42% of their people agree. That gap could undermine the entire AI investment. Is your organisation redesigning work for AI, or just adding AI to old processes? Share your view in the comments.
https://t.co/sCyX6Fwma5

[Merit Data and Technology Ltd @Meritdatatech]

Over 200 data points for a single vehicle. All of them processed manually. That was the everyday challenge for an #award-winning #automotive intelligence provider we worked with. https://t.co/o6O368xHgj

[Merit Data and Technology Ltd @Meritdatatech]

The pilot worked. The rollout did not. If you have been anywhere near a #predictive maintenance #programme, there is a good chance you have seen this happen. In one controlled #production cell, everything lines up. https://t.co/b0PxyPw7dJ

[Merit Data and Technology Ltd @Meritdatatech]

Knowing what that record turned into is the hard part. A customer asks for her data to be erased. The CRM entry goes, the marketing records go, the request is closed. But months earlier, an AI agent summarised her support history. https://t.co/46SXM1Av9n

[Merit Data and Technology Ltd @Meritdatatech]

Most organisations responded by forming a committee and drafting a responsible AI policy. But a policy cannot produce evidence that was never captured, and a committee cannot trace a decision through a pipeline that was never instrumented.

[Merit Data and Technology Ltd @Meritdatatech]

Boards have stopped asking CIOs how much AI they have deployed. The bigger idea is worth considering: the organisations that enter 2027 with confidence in their AI will not be the ones with the most governance documents https://t.co/Pjt9qq4Bi8

[Merit Data and Technology Ltd @Meritdatatech]

Can you explain a specific AI decision? How do you know the model is still performing as designed? What happens when the AI is wrong? Are we compliant?
These are the questions sitting in year-end board packs and 2027 planning conversations, and many CIOs are still not ready.