Datameer Blog

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AI and Machine Learning have the ability to transform the world as we know it. Many Fortune 500 CEOs feel the same—81% of respondents in a recent survey said that AI and Machine Learning are a“critical area of investment”.

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With the Cloud platform software market expected to reach $90 billion by 2020, even the largest and most conservative organisations are moving some or all of their analytics to the Cloud. With so many options for…

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Machine Learning (ML) algorithms learn from data. It is critical that you feed them the right data for the problem you want to solve. Even if you have good data, you need to make sure that…

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While on-premise analytics programs are more formalised, the agility of the cloud makes it the wild west where analysts face few barriers to analytic experiments. Getting value from cloud analytics requires a broader data strategy and…

Creating an Agile Closed Loop Data Science Workflow with Datameer and Amazon SageMaker

Introduction If you’re going to do machine learning work right, you’re going to need well-honed data sets to build your models on.  It is not just about cleaning up the data.  It is also about discovering…

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In this blog, we cover five best practices for system administrators to keep users satisfied when it comes to maintenance updates: schedule, think holistically, review urgency, test changes incrementally and repeat changes into production.

Cloud Build or Buy? Answers for the Enterprise

In today’s fast-paced world, organizations must constantly adapt and innovate to maintain their competitive advantage. Cloud computing has revolutionized the technological landscape, allowing companies to “rent” time on online services without having rapidly-obsolescing hardware on-site.

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Componentization, containers and the cloud have all converged to usher in a new era focused on “Ops.” It started with DevOps, which according to Wikipedia is defined as:

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Last week we looked at The Ever Evolving Regulatory Environment and the need for a regulatory compliance architecture. If you didn’t see the first blog post on the topic, read it here.

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Guest post by Philip Gilligan, Sand Hill East LLP

We have seen an extraordinary array of regulations in the last 8 to 10 years, globally as well as specifically in the US and EU. Starting with the US Dodd Frank Act during the great recession, it continued in Europe with a series of regulations, most recently around data privacy and protection concerns in the form of GDPR.

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Last week we looked at how the healthcare industry (and vendors) would enjoy financial advantages of using Artificial Intelligence (AI), computer vision, IoT and more.

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The healthcare industry is expected to undergo tremendous change and growth due to the overwhelming amount of data available today to help organizations make better, more informed and timely decisions. Patients and medical practitioners are poised to reap the benefits of safer, higher quality care offered through Artificial Intelligence (AI), computer vision (the AI strategy underpinning imaging and video analytics), IoT and more. At the same time, vendors, developers and healthcare organizations will also enjoy the financial advantages of using these technologies.