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Data Governance: Lessons Learned from the Front Lines

In this contributed article, Ken Arnold is Analytics Manager at Covenant HealthCare, says there’s no question that a strong data analytics foundation is critical in today’s healthcare ecosystem. If your organization is considering adopting a data governance capability to support your analytics efforts, keep these best practices in mind to ensure that your data is consistent, accurate and trusted across the entire organization.

How Self-Learning Programs Help Businesses Save Time and Money

In this contributed article, technology writer and blogger Kayla Matthews points out that AI and machine learning can learn from experiences without constant input from programmers, and as a result businesses are increasingly looking for ways to use them to make their operations more efficient and cost-effective. Here is a shortlist of some ways that self-learning programs help businesses save time and money.

Pay Attention to Spatial Data, It Is the Next Frontier

In this special guest feature, Madhusudan Therani, CTO at Near, points out that with an almost endless list of sources – including map and satellite data, catchment areas, service points, building and customer locations, land use data, urban data, and communication pathways – spatial data is a valuable global commodity which comes in many forms. So why do businesses need to process spatial data and what are some of the challenges they face in doing so at scale?

The Parallel Universe of Dark Data and Dark Matter

In this contributed article, David Gingell, Chief Marketing Officer for Seal Software, takes a look at how all of the hype around dark data and AI-driven dark-analytics is missing the first crucial step, which is to identify what is real and what is useful, and for what application. While it may sound exciting, using AI to automatically process vast amounts of data in ultra-fast operations is not going to provide much insight.

Beyond Big Data: Why AI Requires Getting Small Data Right

In this special guest feature, Maciej Gryka, Head of Data Science at Rainforest, discusses why big data in the context of AI leads us to ask some serious questions about the future of big data. Data scientists often wonder whether we need big data as much as some think. In many cases the answer is “no” and instead of going big, what we really need to be doing is thinking smaller. Read on to learn why.

Top 5 Mistakes When Writing Spark Applications

In the presentation below from Spark Summit 2016, Mark Grover goes over the top 5 things that he’s seen in the field that prevent people from getting the most out of their Spark clusters. When some of these issues are addressed, it is not uncommon to see the same job running 10x or 100x faster with the same clusters, the same data, just a different approach.

Artificial Intelligence is Innovating Your Healthcare Needs in 2018

In this contributed article, freelance human Avery Phillips takes a look at how artificial intelligence (AI) is making significant inroads into healthcare innovation as we move into 2018. One of the biggest benefits is that healthcare providers can use this technology to help promote better lifestyle choices to their patients and others.

Three Ways Big Data Will Impact on marketing in 2018

In this contributed article, Mitesh Patel is a Business Growth Strategist at a leading mobile application development company Solution Analysts, discusses the vital role big data takes in the marketing playbook as we move into 2018.

Sports, Taxes, Criminal Investigations and Elections: Practical Use Cases for Data Preparation?

In this special guest feature, Jon Pilkington, Chief Product Officer at Datawatch, discusses how self-service data preparation solutions are often work-life hacks, enabling users to easily derive business insights that impact a corporation’s bottom-line. But, the use cases for this technology are actually quite widespread. The article provides 4 unique ways data preparation technology assists in predicting outcomes and significantly improving everyday life.

Dedicated Precision Medicine Solution is Key to Value-Based Success

In this special guest feature, Terry Macaleer, President at Orion Health U.S., discusses how precision medicine is an emerging approach to identifying precisely those treatments that will work for a given patient, based upon terabytes of the patient’s—and countless other patients’—genomic and other “-omic” data. He also highlights how the winning precision medicine solution will be provided by an agnostic health IT vendor, not an EMR vendor who isn’t open to third-party solutions working in conjunction with their EMR offerings.