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Why You (Probably) Don’t Need AI

A new study has found that 88% of brands are now using AI. And yet, 55% are disappointed with the results of their investment. As underwhelming as this satisfaction statistic may be, […]

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Blurred Bot Lines and the Phenomenon of ‘Aiporia’

Are you a bot? This is a question that we’ve found ourselves asking more and more of late. As we increasingly interact with AI, it’s becoming harder to tell the bot from […]

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Reimagining the Workforce in the Age of AI

The disruption and evolution of the workplace is not a new phenomenon. It happened during the industrial revolution. It happened again with the advent of computers and the internet. It’s happened recently, […]

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3 Reasons Why the AI-pocalypse isn’t Headed Our Way

As we continue to invite artificial intelligence into our lives, fear of it taking over jobs — or even the world — are bubbling under the surface. Science fiction and pop culture […]

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Artificial intelligence and the future of programming

Artificial intelligence is here. It’s in our homes, our pockets and handbags, and it’s creeping into our workplaces. It’s been able to best humans at board games since the 90s, and it’s […]

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5 Ways How Blockchain will Change the Travel Industry

The myriad of companies that are involved in a single customer’s travel plans is one of the main reasons why many people are excited about how blockchain can transform the travel industry. […]

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Why Breach and Attack Simulations are a Must for Cybersecurity

Due to the increasing risks brought about by cyberattack threats, cybersecurity has risen to the top of the agenda of most organizations. Companies are investing heavily in IT and cybersecurity solutions are […]

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Managing High Availability in PostgreSQL – Part III: Patroni

In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant. In the final post of this series, […]

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Why non Data Scientists can lead Data Science teams

I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills. As well as being […]

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