Author Archives: Gary MacFadden

About Gary MacFadden

Gary's career in the IT industry spans more than 25 years starting in software sales and marketing for IBM partners DAPREX and Ross Data Systems, then moving to the IT Advisory and Consulting industry with META Group, Giga and IDC. He is a co-founder of The Robert Frances Group where his responsibilities have included business development, sales, marketing, senior management and research roles. For the past several years, Gary has been a passionate advocate for the use of analytics and information governance solutions to transform business and customer outcomes, and regularly consults with both end-user and vendor organizations who serve the banking, healthcare, insurance, high tech and utilities industries. Gary is also a frequent contributor to the research portal, a sought after speaker for industry events and blogs frequently on Healthcare IT (HIT) topics.

Cloud Innovators Create a Body and Soul for Big Data

“It’s alive! It’s alive!” Thus spoke Dr. Henry Frankenstein of his creation in the iconic horror film classic from 1931, as does the main character in Mel Brooks’ 1974 comedy Young Frankenstein. It’s Alive is also the title of a little known 1974 B horror movie about a murderous infant. Can the same be said of computers or the data and information that inhabits them? Big Data, loosely defined as the sum of all electronic data and information, accompanied by advances in Cloud computing, chip fabrication, natural language processing and machine learning are all in the process of transforming the utility of computing and challenging man’s traditional view of what constitutes “life” as we know it. Continue reading

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Meeting Cloud Automation and Orchestration Challenges with Cloudify from GigaSpaces

There is no doubt that enterprises are looking for additional deployment support when it comes to implementing private and public Cloud solutions. The benefits of freeing up internal infrastructure and enabling DevOps to bring applications to market more quickly are unquestionably real. What is not so clear is which path to the Cloud will provide the least friction and the fastest time to value. Continue reading

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Legal Tech Memo 2014: Driving Efficiencies and Mitigating Risk in the Era of Big Data

Now that the Information Governance message has finally gotten through to most every CIO and General Council, not to mention the vendor community, what’s next? Services and technology solutions that can be leveraged across the enterprise by a variety of data stakeholders is a much more logical and cost effective approach for today’s business climate than deploying point solutions that meet only departmental needs. A risk-based approach to managing Big Data assets throughout the enterprise – including customer and partner facing data – is not only a good idea, an organization’s survival may depend on it. Continue reading

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Making the Case for Affordable, Integrated Healthcare Data Repositories and PHRs

Navigating today’s complicated healthcare ecosystem and the nuances of ACA demands that individuals take more responsibility for managing their own and their family’s healthcare services. This includes selecting a variety of healthcare professional partners who will help guide us through our health and wellness journey so we can receive the best possible health care advice and services. Healthcare data is undeniably one of those partners. Individuals and providers must work together to update, manage and secure healthcare data to increase the likelihood that information contained in medical records is used to improve individual wellness or aggregated to drive insights that benefit health populations. To that end, there are indeed viable, innovative and affordable solutions to pursue. Continue reading

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21 NoSQL Innovators to Look for in 2020

In the ever-evolving world of enterprise IT, choice is generally considered a good thing – albeit having too many choices can create confusion and uncertainty. For those application owners, database administrators and IT directors who pine for the good old days when one could count the number of enterprise-class databases (DBs) on one or two hands, the relational-database-solves-all-our-data-management-requirements days are long gone.

Thanks to the explosion of Big Data throughout every industry sector and requirements for real-time, predictive and other forms of now indispensable transactions and analytics to drive revenue and business outcomes, today there are more than 50 DBs in a variety of categories that address different aspects of the Big Data conundrum. Welcome to the new normal world of NoSQL – or, Not only Structured Query Language – a term used to designate databases which differ from classic relational databases in some way.
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