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Take these seven simple steps to cultivate and embed an early, competitive, clean AI-data advantage across your business

– – – – –
AI is coming for your business, and just as having a web site became essential for reaching customers and staying competitive, as AI becomes more accessible and affordable, businesses must increasingly adopt it to gain a competitive edge.

But, if an AI engine is only ever as good as the data it is trained on, let me show you the steps by which I can help you clean yours up, to get more value from the brains across your business, in the pursuit of superior accuracy and quality of AI-generated content.

I am a professional editor, and I’ve been paid for my preoccupation with the processes underpinning production of the reliably error-free published data that is in large measure the focus of this site’s content.

Wherever you are in the world, by learning and observing a few simple rules, I can help your team get much better at this.

Contact me, Graham Lauren:
cloudcitizenx@icloud.com
61+ 416 171724

How working within the guidelines of Amazon’s proven and highly successful formula for creating superior products, these six simple steps – proven daily in professional editing worldwide – can give you the edge to create high-quality, clean and relevant data to minimise risk and drive competitive advantage in your business’s adoption of AI.

Either ChatGPT or Google’s Bard can warn of what data it takes to feed a clean, smoothly functioning AI engine that just works, and learns from day one
If an AI engine is only as good as the data it is trained on, how might a professional editor contribute value to an organisation’s transition to AI?
Here are some questions you may find it prudent to ask when trying to plan, create and manage the documentation you need to deliver superior, competitive AI
The problem facing every writer
What sub-editors do in professional publishing
About Cloud Citizen

Unlock the hidden potential of AI for your business

Start here to build new, smarter AI-driven business productivity
How expectations held of even the best social workplace software can fall short
Challenges of mapping organisational knowledge for AI
What makes managing workplace social content different
This basic AI challenge is present in every organisation
In capturing workplace knowledge, the devil is always in the detail
The lost opportunity of poor documentation
You need a process for commissioning new material
Questions to ask when trying to create the documentation that can deliver superior AI

Please note:

Where relevant, the content of most of the following posts is copied and pasted straight from the responses of the AI engine in question, with no editorial intervention on my part.

Hence, the variations in formatting are something over which I have also exerted no control.

The list beneath may be limited, but as it grows, you can view the whole lot here.

Recent

I asked ChatGPT, Bard and Poe: “If, as a professional editor, I am writing an essay designed to guide executive and technical managers in how to emulate the qualitative data-cleaning editorial practices of a professional newsroom to get a superior result from their AI modelling and implementation, I have two key questions before I start. First, how long should it be to capture and hold their attention? Second, what are the sections and headings it must contain? Is there anything else I haven’t asked that I should make note of before starting? October 8, 2023
What does success look like – and what role might the qualitative data-cleaning editorial practices of a professional newsroom play – in a company seeking to find how to use AI to get a superior result from bringing its collective human minds together with machine intelligence to create a more complete picture of a problem and how it might be solved? September 27, 2023
To what degree is it true that notwithstanding other contributing factors – such as the quality and diversity of the training data, the architecture and algorithms used, the expertise of the data scientists, and the specific problem being addressed – the better a business can become at emulating the ways in which a professional newsroom works to organise and clean its qualitative editorial content, the quicker and more reliable its AI modelling can become? September 26, 2023
To what degree is it true that the better a business can become at managing its qualitative internal data by emulating the ways in which a professional publishing operation’s editorial team organises qualitative editorial content, the quicker and more reliable its AI modelling can become? September 26, 2023
In what ways can AI and engaging a professional editor help you inject better sense, efficiency and order into the ways in which your leadership team develops strategy from the data generated by the many minds at work across your organisation? September 22, 2023
In what ways can AI give your team and its leaders a capacity to develop ideas for an increasing array of new products and business models, tested at more precisely defined “stage-gates,” and how, and with what benefits, can a professional editor help your people develop the cleaner data and routines to realise this process more quickly and productively? September 22, 2023
In what ways can AI give your team and its leaders a capacity to develop new creative thinking skills beyond the usual conceptions of intelligence and reasoning, and how, and with what benefits, can a professional editor help it reach this goal? September 22, 2023
In what ways does AI present an opportunity to shape your organisation’s collective intelligence such that it can realise the notion of thinking at a new scale, and how might engaging a professional editor early in the learning to achieve this make your AI model work better? September 22, 2023
In what ways does AI present an opportunity to shape your business’s intelligence around your product and your customer in a repeat loop of learning, and how can engaging a professional editor early in this learning make your AI model work better? September 22, 2023
What pain and problems can the intervention of a professional editor help your leaders and project managers avoid in the early planning stages of an AI-transition initiative in your business, and how early in such an exercise should they ideally be engaged? September 21, 2023

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