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Taming the LLM: How Domain Specific Languages (DSLs) Reduce Hallucinations and Boost AI Reliability

One of the biggest challenges in using Large Language Models (LLMs) in real-world applications is keeping them accurate, efficient, and predictable—especially when they’re interfacing with structured systems and business processes.At Dataception, we’ve fo...

Faster Horses or Smarter Engines? Rethinking Data Delivery in the Age of AI

We’re in the middle of a transformation—but are we really transforming?Friday hot take: When it comes to AI and data, many organizations are stuck in a “faster horse” mindset, optimising legacy workflows rather than rethinking what’s possible.This reflect...

Talk to Your Portfolio: How AI + Data Object Graphs Are Transforming Investment Intelligence

What if you could talk to your investment portfolio—ask complex questions in plain English and instantly get nuanced, actionable answers?At Dataception Ltd, we're making that a reality.We're combining AI with Data Object Graphs (DOGs) to create a fundamen...

De-Risking AI Adoption with AI Digital Twins: A Smarter Path to Real-World Impact

AI is supposed to be the breakthrough that transforms modern enterprises—yet for many, it's turning into a frustrating and costly disappointment.Recent commentary from Dan French on the article “C-suite leaders grapple with conflict, silos amid AI adoptio...

Graphs 101: A Practical Tour Through the Modern Graph Landscape

Over the past few weeks, I’ve been diving deep into the fascinating world of graphs—especially as they relate to the rise of Data Object Graphs (DOGs).What started as a few posts about how we use DOGs at Dataception quickly turned into a broader conversat...

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Graphs 101: Hybrid Graphs and the Rise of Data Object Graphs (DOGs)

As we continue our exploration of graph structures, we've covered data graphs (focused on representing relationships) and execution graphs (designed to orchestrate computations). Now we arrive at the most powerful and versatile of them all—hybrid graphs.T...

Graphs 101: Execution Graphs – The Computational Backbone ⚙️

In our journey through graph structures, we’ve covered data graphs, which define relationships between entities. Now, we shift gears to execution graphs—the dynamic frameworks that power computational processes.While data graphs help us discover relations...

Graphs 101: Understanding Data Graphs and Knowledge Representation 🕸️

Following our introduction to graph structures, let's dive deeper into data-only graphs—particularly knowledge graphs—which have revolutionized the way we model and connect information.Data Graphs: The Relationship RevolutionAt their core, data graphs rep...

Graphs 101: Understanding the Foundations of Graph-Based Systems

Graphs are everywhere—whether powering search engines, optimizing logistics, or driving AI decision-making. Yet, despite their widespread use, the term "graph" is often used interchangeably across domains, leading to confusion.To cut through the noise, le...

Navigating Data Chaos: Turning the Compass of Confusion into a Business-Driven AI Framework

Data management often feels like a compass spinning without true North—different teams pulling in opposite directions, governance operating in a vacuum, and customer needs frequently overlooked.To address this, I’ve reimagined the Compass of Confusion—a m...

From Data to Ontology: How Data Object Graphs Accelerate Knowledge Engineering

The intersection of Data Object Graphs (DOGs) and Knowledge Graphs (KGs)/Ontologies is sparking a lot of discussion. While Knowledge Graphs are excellent at representing structured relationships, DOGs introduce a dynamic, executable process that accelerat...

Data Object Graphs vs. Knowledge Graphs: What’s the Difference?

A common question we get is: How do Data Object Graphs (DOGs) differ from traditional Knowledge Graphs (KGs)? While both leverage graph structures, their core purpose, structure, and functionality are fundamentally different.In short:📌 Knowledge Graphs r...

AI Agents & Data Object Graphs: The Future of Business Process Querying

In the world of business process automation, AI-driven decision-making, and real-time data interactions, traditional homogenized data models and centralized graph approaches fall short. Businesses need a way to query, navigate, and interact with processes...

Beyond Centralized Data: Process-Driven Data Modeling with Data Object Graphs (DOGs)

For years, organizations have been trying to modernize data architectures with distributed approaches like Data Mesh—only to end up reverting back to centralized models like 3NF, Star Schemas, or Data Vaults. Why? Because the missing piece has always been...

AI Digital Twins: Fixing the 8 Biggest Digital Transformation Failures

Digital transformation has been a buzzword for over a decade, yet the failure rate remains shockingly high. Organizations continue to struggle with execution, even after millions in investment.Why? Because transformation isn’t just about tech—it’s about p...

Critical Success Factors for AI-Driven Transformation: Lessons from the Field

After years of leading AI transformation initiatives, one truth stands out: successful AI adoption isn’t just about technology—it’s about business transformation, culture, and execution.Many organizations sink millions into AI, only to see projects stall ...

AI Business Twins: 4X Faster Business Transformation with AI Digital Twins 🚀

Just as engineers simulate bridges and aircraft designs before building, AI now enables businesses to simulate transformation before implementation.With AI-powered Digital Twins, we can eliminate much of the guesswork in business transformation—accelerati...

Data Mesh Isn’t Dead—It’s Just Gone AI-Native

The Data Mesh revolutionized how we think about data products, but in the age of AI, it needs to go further.While Data Mesh solved key data-sharing challenges, it never fully addressed: 1️⃣ End-to-end business use case delivery (including governance) 2️⃣ ...

From Miner to Designer: How AI is Redefining Idea-to-Prototype Acceleration

Just had a great discussion with Eddie Short on how GenAI is revolutionizing the journey from idea to industrial prototype—with real UX and business functionality in front of the customer faster than ever before.The emergence of Large Language Models (LLM...

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