Tag: Machine Learning


How CIOs are Leveraging AI and Machine Learning to Achieve ITSM Goals

Posted by thinkstrategies in Uncategorized. Comments Off on How CIOs are Leveraging AI and Machine Learning to Achieve ITSM Goals

23rd October

For the past decade, many IT departments have been on the defensive trying to keep pace with escalating end-user demands and competitive pressures. The emergence of ‘shadow IT’ as a major force within many enterprises raised questions about the role of IT in a cloud-first world.

Now, enlightened CIOs are exploring ways to employ artificial intelligence (AI) and machine learning (ML) to actively engage their IT teams as key players in the rapidly evolving digital transformation efforts within their organizations.

Click here to read THINKstrategies’ latest commentary in Datamation regarding how these trends are impacting the marketplace.



What Do the Academy Awards, AWS and AI Have in Common?

Posted by thinkstrategies in Uncategorized. Comments Off on What Do the Academy Awards, AWS and AI Have in Common?

10th March

As the tug of war between humans and machines escalates, we’ve become witnesses on nearly a daily basis to events that suggest there won’t be an ultimate winner or loser in this existential battle for survival and supremacy.

Two little human mistakes at the Academy Awards ceremony and within Amazon Web Services (AWS) recently received worldwide attention because of the power of today’s technology to magnify their impacts on a global scale. These events added more fuel to the argument that automation is a good thing that can eliminate human error and make our daily lives better and less susceptible to costly mistakes. However, there have been a series of snafus involving artificial intelligence (AI), machine learning (ML) and automated system deployment that are calling into question whether the accelerated innovations in these areas are going to outpace the usefulness of mere mortals.

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THINK IT Services Blog examines the business implications of the latest developments in the technology services market ranging from Cloud Computing and Software-as-a-Service (SaaS) to Managed Services and other forms of 'On-Demand' services.

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