Author Archive

John Morrell

John Morrell is Sr. Director of Product Marketing at Datameer.

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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The May 25, 2018 deadline for the General Data Protection Regulation (GDPR) is almost upon us. And the question many in management are asking is: Are we ready?

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Having spent some time in the retail business, specifically apparel, and at a company that focused on helping e-retailers, I have an appreciation for the challenges these organizations face. With the entire retail world turned upside down from the pure-play e-commerce giants like Amazon, many incumbents are trying to transform themselves in this new digital era.

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The insurance industry, in particular the property and casualty, life and annuity, and re-insurance sectors, is fraught with very interesting data and analytics challenges. While there is vast potential for big data and advanced analytics such as Artificial Intelligence (AI) and Machine Learning (ML), data challenges often hold insurance carriers back from fully exploiting this potential.

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Many CEOs see Artificial Intelligence (AI) and Machine Learning (ML) as a key component to gaining competitive advance in their respective marketplaces. A 2017 survey of Fortune 500 CEO’s found that 81% of the respondents listed AI/Machine Learning as a “critical area of investment”, ranking just behind Cloud and Mobile Computing (91% and 86% respectively).

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As always, one always learns something new at the Gartner Data and Analytics Summit (the 2018 North America version held last week in Grapevine, Texas). I attended a fascinating session with two of Gartner’s most knowledgeable analysts – Mark Beyer and Adam Ronthal – on modern data architectures. In this case, it was not so much learning something new, but rather being reminded of a concept I had used before.

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Digital transformation is disrupting the insurance industry with the digitization of underwriting at the heart of this change. Digitalization of underwriting can also enable a retail-style to reach new demographics that often prefer a more virtual experience.

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Over the past weeks, I’ve been covering some of the newest big data use cases we’re seeing emerge this year. If you haven’t already read parts 1-3 on blockchain, MiFID II and healthcare precision management, you may want to check them out or download all five use cases here. This blog will cover Personalized Omni-Channel Experience in Retail.

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Every year, industry pundits hypothesize on the many ways big data can improve healthcare delivery and the overall healthcare system. Yet, adoption of big data in healthcare fails to keep pace with other industries.

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Back in 2004, Europe created a new set of rules for smoother stock trading called the Markets in Financial Instruments Directive, or MiFID. In 2007, new regulations called MiFID I went into effect designed to increase transparency and competition among the various European financial trading exchanges.

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