Data & The New Era of Interactive Storytelling–Strata+Hadoop 2014 (Video)

 

Data is an evolving story. It’s not a static snapshot of a point in time insight. With data from internal and external sources constantly updating, we are evolving from rear-view mirror dashboard views into an era of interactive Storytelling. Data Storytelling is both a visual art and a method of interpreting analytic results. Data Stories shed insights every minute, every hour, everyday, every week. This keynote will discuss how data dashboards are no longer adequate and how companies are using Interactive Storytelling to discover faster insights across many disparate data sources.

About Sharmila Shahani-Mulligan:
Sharmila has spent 18+ years building game-changing software companies in a variety of markets. She has been EVP & CMO at numerous software companies, including Netscape, Kiva Software, AOL, Opsware, and Aster Data. She drove the creation of several multi-billion dollar market categories, including application servers, data center automation and big data analytics. She is on the board of Hadapt and Lattice Engines, advisor to numerous companies, large and small, and an active investor in early stage companies.

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Statistics Without the Agonizing Pain: John Rauser Keynote at Strata + Hadoop 2014 (Video)

There are two essential skills for the data scientist: engineering and statistics. A great many data scientists are very strong engineers but feel like impostors when it comes to statistics. In this talk John will argue that the ability to program a computer gives you special access to the deepest and most fundamental ideas in statistics. John’s goal is to convince the non-statistician engineers in the audience that the road to statistical fluency is much, much shorter than they think.

About John Rauser:
John has been extracting value from large datasets for over 20 years at hedge funds, small data-driven startups, Amazon, and now Pinterest. He has deep experience in machine learning, data visualization, on-line experimentation, website performance and real-time fault analysis. An empiricist at heart, “Just do the experiment!” is his favorite call to arms.

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Doug Cutting on Hadoop, October 2014 (Video)

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Say Big Data One More Time!

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A Statistician’s View on Big Data and Data Science in Pharmaceutical Development

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Home Monitoring mHealth Wearable Devices 2013-2019

Wearables_health_ABI

ABI Research:

Over the next 5 years, a new generation of elderly home care services will drive wearable device shipments to more than 44 million in 2019 up from just 6 million in 2013. In 2014 alone, shipments of wearable devices linked to elderly care systems will more than double over those in 2013, finds the latest ABI Research analysis of the mHealth market.

Growing adoption comes as tech savvy families increasingly turn to home monitoring offerings for assurance their aging parents and family members are safe and well. In addition, new offerings are boosting and extending a market that has long been the territory of dedicated, “Help! I’ve fallen and I can’t get up”-type personal emergency response systems. A host of niche players including BeClose, GrandCare Systems, Independa and others have all emerged to capitalize on a combination of market demand and the potential to leverage connected devices and systems.

In the past few months alone, one start-up, Live!y, has revamped and re-launched its offering to include a watch that offers activity tracking alongside personal emergency response services, while AT&T has added elderly care monitoring to its Digital Life smart home package. These players reflect how device manufacturers and service providers alike are increasingly targeting the elder care market and doing so with more feature rich offerings.

These findings are part of ABI Research’s mHealth Wearables, Platforms and Services Market Research which looks at the rapidly developing market for wearable wireless sensors, by device, connectivity and region across sports, fitness and wellbeing, home care monitoring, remote patient monitoring, and on-site professional healthcare markets.

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Most companies analyze a mere 12% of their data (Infographic)

Big_Data_Platfora_infographic

 

Source: Platfora

 

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