Smart, AI and Data walk into the room…what happens next?

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I must say, as I continue to see the world abuzz by AI, the more I am not only drawn to the topic but also tend to come across various views and opinions around businesses not yet truly benefitting from AI – and with that – the industry perception around the AI ‘pipe dream’.

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Does prescriptive analytics deserve more attention?

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Leveraging data to gain worthwhile insights is fast becoming a natural practice for businesses, as they contend to remain competitively viable in a market where the only constant seems to be change. Data is an asset and those not investing in it are likely to be missing out. Read the rest of this entry »

At the core of successful AI lies quality data

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Globally, the world is abuzz around Artificial Intelligence (AI). At the very core of AI lies data – and data of course is what really drives me.

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Is there a right or wrong time to hire a CDO?

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Having used my past two blog articles to address what a Chief Data Officer (CDO) should be and the value a CDO should offer an organisation, you may now very well be wondering if it is worth your while to hire a CDO. Read the rest of this entry »

The value of the CDO

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Chief Data Officer (or CDO) is a term that cropped up during the early 2000s, and two things became apparent to me. First was that many organisations found themselves caught in the ‘hype’ of having a CDO and second, that far too many organisations appointed a CDO without a clearly defined data analytics strategy.

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What a Chief Data Officer should be – part I

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In an age where the role of a Chief Data Officer (CDO) and Chief Information Officer (CIO) are used interchangeably, it is easy to get them confused. In my personal experience in the Business Intelligence (BI) space, I have learnt to ‘accept’ the confusion. Though, I say ‘accept’ here lightly, because the hype and confusion to differentiate between these two roles (and trends in general) never ends.

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The data science strategy – part II

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The eagerness of how data science can help businesses ‘achieve’ still seems be high on the agenda amongst business and IT leaders that are looking for ways to leverage their data. In fact, many are of the view that ‘if this process can help solve our business challenges and create new opportunities, let’s definitely hire someone knowledgeable’. Sounds good, right?

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The data science strategy – part I

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In the world of BI, it is not rare to hear a professional say ‘I want to become a data scientist’ due to the nature of this field being so new and exciting. As an interdisciplinary profession, which requires a candidate to create value out of data, and create it in a way that businesses and staff can understand, this skillset is still very much a work in progress, in the professional realm.

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