Having AI embedded in your product have become table stakes it seems.
I have been thinking about our approach to AI in our product for a while and landed on 3 patterns that I use as a reference.
Ask AI
Assisted AI
Automated AI
AgileData Product
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The magic of DocOps
TD:LR Patterns like DocOps provide massive value by increasing collaboration across team members and automating manual tasks. But it still requires a high level of technical skills to work in a DocOps way. For the...
Understanding Concepts, Details, and Events: The Fundamental Building Blocks of AgileData Design
Reducing the complexity and effort to manage data is at the core of what we do. We love bringing magical UX to the data domain as we do this.
Every time we add a new capability or feature to the AgileData App or AgileData Platform, we think how could we just remove the need for a Data Magician to do that task at all?
That magic is not always possible in the first, or even the third iteration of those features.
Our AgileData App UX Capability Maturity Model helps us to keep that “magic sorting hat” goal at the top of our mind, every time we add a new thing.
This post outlines what that maturity model is and how we apply it.
AgileData App UX Capability Maturity Model
Reducing the complexity and effort to manage data is at the core of what we do. We love bringing magical UX to the data domain as we do this.
Every time we add a new capability or feature to the AgileData App or AgileData Platform, we think how could we just remove the need for a Data Magician to do that task at all?
That magic is not always possible in the first, or even the third iteration of those features.
Our AgileData App UX Capability Maturity Model helps us to keep that “magic sorting hat” goal at the top of our mind, every time we add a new thing.
This post outlines what that maturity model is and how we apply it.
Fast Answers at Your Fingertips: Unveiling AgileData’s ‘Ask a Quick Question’ Feature
Immerse yourself in the magical world of data with AgileData’s ‘Ask a Quick Question’ capability. Perfectly designed for data analysts and business analysts who need to swiftly extract insights from data, this capability facilitates quick data queries and rapid exploratory data analysis.
Amplifying Your Data’s Value with Business Context
The AgileData Context feature enhances data understanding, facilitates effective decision-making, and preserves corporate knowledge by adding essential business context to data. This feature streamlines communication, improves data governance, and ultimately, maximises the value of your data, making it a powerful asset for your business.
AgileData Cost Comparison
AgileData reduces the cost of your data team and your data platform.
In this article we provide examples of those costs savings.
Data Architecture as a Service (DAaaS)
TD:LR Data Architecture as a Service (DAaaS), is it Buzzwashing or not? As is often the case, it depends on your point of view. Our point of view? Nope its a real thing.
Observability, Tick
TD:LR Data observability is not something new, its a set of features every data platform should have to get the data jobs done. Observability is crucial as you scale Observability is very on trend right now. It feels...
The language of data is not so natural
TD:LR The dream is we can just point the machine at our data, ask our question and get a useful answer. With ChatGPT we are closer than we have ever been, but we are not there yet,When Nigel and I first started...
Build Data Products Without A Data Team Using AgileData
TD:LR Late in 2022 I was lucky enough to talk to Tobias Macey on the Data Engineering podcast about our AgileData SaaS product and our focus on enabling analysts to do the data work without having to rely on a team of...
App Engine and Socket.IO
We wanted to be able to dynamically notify Data Magicians when a task had completed, without them having to refresh their browser screen constantly. Implementing websockets allowed us to achieve this.
Analysts can model democratising data modeling
In 2022 Shane Gibson was lucky enough to present “Analysts can model democratising data modeling” at the Knowledge Gap Conference
Watch the presentation.
AgileData >>> Modern Data Stack
TD:LR AgileData's mission is to reduce the complexity of managing data. A large part of modern data complexity is selecting, implementing and maintaining a raft of different technologies to provide your "Modern Data...
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