Dataconomy
MARCH 21, 2016
The IoT already produces massive amounts of data. It’s time to start dealing with it. Is Fog and Edge Computing inevitable? What happens when the cloud isn’t enough? This is a modern problem if there ever was one. Experts are saying 2016 will mark the rise of a new system: The post Is Fog Computing the Future of The Cloud? appeared first on Dataconomy.
Dataconomy
MARCH 22, 2016
Whether you run a small business with just a few employees or you are in charge of a multinational corporation, you can benefit from an effective big data strategy. Thanks to website analytics, geo-location services, data mining, and the constant stream of data flowing to and from us through everyday. The post 4 Questions You Should Ask Yourself Before You Implement Any Big Data Strategy appeared first on Dataconomy.
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Dataconomy
MARCH 11, 2016
“Big data” and “data science” may be some of the bigger buzzwords this decade, but they aren’t necessarily new concepts. The idea of data science spans many different fields, and has been slowly making its way into the mainstream for over fifty years. In fact, many considered last year the. The post Beginner’s Guide to the History of Data Science appeared first on Dataconomy.
Dataconomy
MARCH 28, 2016
Brands utilising big data are cultivating an ‘insight economy’ where every business move is mapped out with pinpoint accuracy thanks to the internet of things (objects that send and receive data) building a connected world. Businesses are leaping at the chance to embrace ‘cognitive computing’, a process where coding, tools. The post Big data is overhauling credit scores appeared first on Dataconomy.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Dataconomy
MARCH 8, 2016
Big Data is no stranger to the women’s movement. In fact, many see it as the great equalizer. It provides cold hard facts, and adds weight to topics that are otherwise easy to skew. Proponents of big data’s use for gender equality range from private firms and individuals to major. The post Big Data Reveals Big Gender Inequality appeared first on Dataconomy.
Dataconomy
MARCH 7, 2016
If you listen in on what people are talking about at Big Data conferences, chances are you’ll hear a lot of buzz around Hadoop and Spark. People often think of Hadoop and Apache Spark as key tools for tackling a wide range of big data challenges, but they assume that. The post Hadoop and Spark: A Match Made in (Big Data) Heaven appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
MARCH 29, 2016
You may love your Fitbit…but does your doctor? The complicated world of wearable data may make their lives harder. How many doctors encourage patients to use fitbits and wearables? Well, Hawley Montgomery-Downs, an associate professor of psychology at West Virginia University, studied Fitbit’s capabilities. In her words: “I have a. The post The Physician and the Fitbit: Why Doctors and Administrators Don’t Love Wearables appeared first on Dataconomy.
Dataconomy
MARCH 10, 2016
The U.S. produces 1.2 billion clinical care documents each year. These documents contain information about a patient’s medical history, doctor’s visits, hospital visits, previous treatments, procedures, test results and prescription medications. Physicians can access information about their patient from their electronic health record to weigh treatment options, but to really.
Dataconomy
MARCH 17, 2016
For outsiders, the idea of artificial intelligence in the court room sounds horrifying. AI, however, has been pushing its way into law for decades. The next time you apply to claim child benefits, you may be met with the unexpected: robots. Most might not even notice it, but the future. The post AI Is The Future of Law—And Lawyers Know It appeared first on Dataconomy.
Dataconomy
MARCH 31, 2016
The rise of Big Data, and the industry’s IoT craze, are driving huge demand for streaming data analytics. There’s an impediment though: streaming data is hard to work with. 2016 will heighten the demand, and also the tension around the difficulty. It may also force a solution. In the big-data. The post The Year Data Streaming Becomes Mainstream appeared first on Dataconomy.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Dataconomy
MARCH 15, 2016
You probably had some big ideas in mind when you first started thinking about adopting big data solutions for your business. There’s usually a tinge of excitement when it comes to big data, and business owners are eager to tap into all its potential. Hiring a qualified data science team. The post Why Your Data Scientist Isn’t Being More Inventive appeared first on Dataconomy.
Dataconomy
MARCH 3, 2016
Organizations are being driven to be sophisticated in their use of data, and specifically in acting on fast data, to make critical business decisions. Fast data is data in motion, not data at rest (that is, stored for longer-term analysis). Studies have shown that data has the greatest value immediately. The post What kind of industries will expand their use of fast data in 2016?
Dataconomy
MARCH 14, 2016
Stumbling through overwhelming aisles of wines, it can be daunting to find the perfect match to that asparagus-heavy dish. There are pairing tables, books and websites filled with descriptions and ratings, but they aren’t quite an exact science. Seeking out and buying a wine, only to realize you’ve gone the. The post The Perfect Pairing: Machine Learning and Wine appeared first on Dataconomy.
Dataconomy
MARCH 25, 2016
MDM still has the potential to meet many critical needs in this data-rich environment, but only if it can keep up with changing times. Let’s start with the obvious: We’re already drowning in data, and it just keeps coming. We need to gather, store, collate and analyze it, because we. The post The Modern Face of Master Data appeared first on Dataconomy.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Dataconomy
MARCH 18, 2016
John Musser is an expert in software development, specifically in building highly scalable and resilient software and currently serves as Vice President of Technology at Basho. In his role at Basho, Musser helps drive product strategy and direction for the Basho family of products, which simplify enterprises’ most critical data. The post “I’d like to see NoSQL become much easier to adopt” – Interview with Basho’s John Musser appeared first on Dataconomy.
Dataconomy
MARCH 29, 2016
Continuing our ambitious European trip to share the Big Data knowledge, we stopped for the third time in Paris, where on the 10th of March, we hosted another great event for our Parisian community. This time, the event took place at Usine IO, a 1500 sqm innovation and hardware prototyping. The post Big Data, Paris v 3.0 Recap appeared first on Dataconomy.
Dataconomy
MARCH 1, 2016
How many hours do you think the world spends watching TV per day? Well, it’s a lot, we are sure of that, especially given the popular growth of Netflix! According to eMarketer, in 2015, American adults spent a daily average of 5.5 hours with video content. In addition, a recent. The post Top 10 TV Shows for Data Enthusiasts appeared first on Dataconomy.
Dataconomy
MARCH 4, 2016
Big Data Breaches and Big Databases are setting the scene for the presidential election this year. What kind of data do politicians wield and just how much is it worth? Obama may have pioneered the big data campaign, but the 2016 elections are pitting data scientist against data scientist. The. The post Clinton-Sanders Data Breach Highlights Power of Big Data in Politics appeared first on Dataconomy.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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