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Data Driven Business

Data Driven Business

Conclusion: The days of viewing BI as a single solution are over. Organisations should view Business Intelligence as four distinct, but interlocking services that each addresses a different critical business imperative: reporting; self-direct data exploration; operational decision support; and data science. Each of these imperatives addresses different stakeholders and will have its own architect.

Conclusion: Machines are becoming increasingly proficient at tasks that, in the past, required human intelligence. Virtually all human domain expertise can be encoded in digital data with the right knowledge engineering tools. The bottleneck in understanding between humans and software is shaped by the ambiguities inherent in human communication, not by the challenge of developing machine intelligence. To benefit from big data, organisations need to articulate knowledge in the language of data, i.e. in a format that is not only understandable by humans but also actionable by machines.

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TechSci Research estimates the Australian managed security services (MSS) market will grow at a CAGR of more than 15 percent from 2018-23 as a result of the increased uptake of cloud computing and...
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Kids, Education and The Future of Work with Dr Joseph Sweeney - Potential Psychology - 25 July 2018

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PageUp starts rebuilding and looks to learn lessons after data breach nightmare - AFR - 27 June 2018

The timing couldn't have been worse for PageUp; two days before Europe's new data protection regime came into force the Melbourne-based online recruitment specialist's security systems detected...
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