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Collection of news, articles and features on all things data, from the infoboss team…
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Artificial Intelligence
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Why do 95% of AI projects fail?
AI pioneers are focussing on the technology and not the benefits, of focussing on the outputs and not considering the inputs. Implementing AI will undoubtedly herald a new dawn in business benefit realisation BUT and it’s a big BUT, only if the organisation sorts out its data management processes once and for all. So in…
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The future of operations: Organisational AI
ChatGPT and other Artificial Intelligence (AI) large language models (LLMs) are revolutionising how we find answers to questions. They’ve made best practices and public knowledge more accessible and usable. However, while this works well for general queries, what many organisations truly need is something similar for internal, operational questions – something that can provide fast,…
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Data foundations
What are they? and why do they matter when building an enterprise Artificial Intelligence capability for your business? The phrase “data foundations” reflects the essential groundwork that needs to be laid to support AI capabilities effectively. It involves not just the technical infrastructure for storing and processing data, but also the processes that ensure data…
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Preparing your data for AI models
The process of making company data fit for the purpose of training AI models is a multi-step journey involving data collection, cleaning, transformation, and preparation for model training. Ensuring the data is of high quality, well-structured, labelled (if necessary), and privacy-compliant is critical for successful model performance and deployment. Additionally, it is necessary to ensure…
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You get OUT what you put IN!
Data quality is paramount when considering artificial intelligence (AI) or business intelligence (BI) initiatives within a business. Their success and effectiveness heavily rely on the quality of the data being used for analysis, decision-making, and training AI models.