Blog - Nimble Approach

Keeping Context Graphs Up to Date: Data Synchronisation and Derived Knowledge (Part 3)

Find out why data synchronisation and derived knowledge are essential for maintaining accurate, trustworthy context graphs for enterprise AI.

carabills47a77b925b31st July 2026

Designing Context Graphs That Reflect How Your Organisation Really Works (Part 2)

Learn why effective context graphs should mirror your organisation's people, processes and decisions to help AI deliver better business outcomes.

carabills47a77b925b28th July 2026

Context Graphs vs Knowledge Graphs: Why AI Agents Need More Than Memory (Part 1)

Discover the difference between context graphs, knowledge graphs and agent memory, and why contextual intelligence is becoming essential for enterprise AI.

carabills47a77b925b20th July 2026

AI Data

The Importance of Lakehouses in the AI Era

Explore why organisations are moving from data warehouses to lakehouse architectures and how lakehouses provide the foundation for AI adoption.

carabills47a77b925b15th July 2026

Where Agentic AI Creates Measurable Value

Learn where agentic AI creates ROI by improving operational efficiency, increasing throughput and reducing friction across business workflows.

carabills47a77b925b19th June 2026

Inside Nimble

Inside Nimble: A Conversation with Robyn Waugh

We sat down with People Experience Lead, Robyn Waugh, to learn why she chose Nimble to grow her consulting career.

carabills47a77b925b16th June 2026

Orchestrating Agentic Systems: Building Self-Organising Agents with A2A

Learn how A2A enables self-organising AI agents, supports agent interoperability and helps build scalable multi-agent systems.

carabills47a77b925b8th June 2026

AI Data

Exploring Databricks Genie: Enhancing Insight Through Conversational Analytics

An evaluation of Databricks Genie Spaces and how LLM-powered natural language querying is reshaping dashboards, data exploration, and governed self-service analytics in modern data platforms.

carabills47a77b925b4th June 2026

Inside Nimble

Inside Nimble: A Conversation with Katie Hardy

We sat down with Senior Delivery Lead in Consulting, Katie Hardy, to learn why she chose Nimble to grow her consulting career.

carabills47a77b925b3rd June 2026

How Will AI and Machine Learning Change Education as We Know It?

Discover how AI and machine learning are reshaping education through personalised learning, intelligent tutoring, remote learning and teacher support.

carabills47a77b925b3rd June 2026

Co-Processing and the Cognitive Architect

Explore the rise of the Cognitive Architect, co-processing, and why intent is becoming more valuable than implementation in AI-enabled organisations.

carabills47a77b925b24th May 2026

Products and Services

Lessons From Shifting to Product-led: Reflections From ProductTank Manchester

Explore key insights from ProductTank Manchester on moving from delivery-focused teams to a product-led organisation and what transformation really involves.

carabills47a77b925b14th May 2026

AI Data

From Zero To Agentic: Building an AI App on Databricks

Learn how an agentic AI application was built and deployed on Databricks in just 1.5 days using Genie, pipelines, and serverless AI tools.

carabills47a77b925b14th May 2026

Why AI Pilots Fail: The Real Problem Isn’t the Model

Most AI pilots fail because organisations haven't defined accountability, governance and human-AI decision making. Learn how to scale AI successfully.

carabills47a77b925b13th May 2026

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Nimble Blog

Keeping Context Graphs Up to Date: Data Synchronisation and Derived Knowledge (Part 3)

Designing Context Graphs That Reflect How Your Organisation Really Works (Part 2)

Context Graphs vs Knowledge Graphs: Why AI Agents Need More Than Memory (Part 1)

The Importance of Lakehouses in the AI Era

Where Agentic AI Creates Measurable Value

Inside Nimble: A Conversation with Robyn Waugh

Orchestrating Agentic Systems: Building Self-Organising Agents with A2A

Exploring Databricks Genie: Enhancing Insight Through Conversational Analytics

Inside Nimble: A Conversation with Katie Hardy

How Will AI and Machine Learning Change Education as We Know It?

Co-Processing and the Cognitive Architect

Lessons From Shifting to Product-led: Reflections From ProductTank Manchester

From Zero To Agentic: Building an AI App on Databricks

Why AI Pilots Fail: The Real Problem Isn’t the Model

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