Data Science and Analytics: Are we maximising its true potential?

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The Infrastructure Insider

RedEye

7 episodes

5 days ago

The Infrastructure Insider is a Technology Podcast from Brisbane based SaaS company, RedEye. Founded in 2012, RedEye helps large complex asset owners and critical infrastructure operators improve asset safety and performance with user-friendly Software-as-a-Service (SaaS) solutions. Tune in to new episodes each week as the RedEye team and special guest industry leaders and innovators share their best practice knowledge, tools and processes on all things related to evolving technology, digital infrastructure and innovation across multiple industries.

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All content for The Infrastructure Insider is the property of RedEye and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

The Infrastructure Insider is a Technology Podcast from Brisbane based SaaS company, RedEye. Founded in 2012, RedEye helps large complex asset owners and critical infrastructure operators improve asset safety and performance with user-friendly Software-as-a-Service (SaaS) solutions. Tune in to new episodes each week as the RedEye team and special guest industry leaders and innovators share their best practice knowledge, tools and processes on all things related to evolving technology, digital infrastructure and innovation across multiple industries.

Show more...

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Data Science and Analytics: Are we maximising its true potential?

The Infrastructure Insider

35 minutes 59 seconds

3 years ago

Data Science and Analytics: Are we maximising its true potential?

Regardless of industry, most organisations have an appetite for data science and analytics, but do we have the technical capability to match? Do we really understand the true power of this data, and what it can do to help shape our decisions within our organisations? Tony Laing, RedEye's Head of Data Science and Analytics sits down with Alan Hardwick, RedEye's Head of Engineering Data and Digital Twin to discuss what data science means to them, and how we can leverage different business tools to maximise the value of data and analytics.