Research in universities often benefits from the structured environment of academia. Unlike in small business or industry settings, intra-mural (within university) collaborations allow various experts to contribute to the research. Generally, academia does not suffer from a shortage of expertise due to collaborative efforts.
However, not all collaborations succeed and mistakes happen. David Broockmann, a political science expert who was back then a graduate student of UC Berkeley,…Continue
Added by Kolabtree on November 30, 2015 at 10:00am — No Comments
If you are a healthcare professional, then you are probably more focused on caring for your patients than on expanding your brand. But it's a good idea to spend some time learning basic marketing so that you can ensure you always have more patients. Pretty soon, the holiday season will be upon us. As a care provider, you can capitalize on the season and use social media to spread awareness of your brand. In this post, we will list a few tips on exactly how to do that.…Continue
Added by David Schwartz on November 30, 2015 at 8:50am — No Comments
Guest blog by: Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke
The importance and need for effective fraud detection and prevention systems is highlighted by some…Continue
Added by William Vorhies on November 30, 2015 at 8:30am — No Comments
Added by NYC Data Science Academy on November 30, 2015 at 7:35am — No Comments
Contributed by Joe Eckert. John took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his second class project(due at 4th week of the program).
The goal of…Continue
Added by NYC Data Science Academy on November 30, 2015 at 7:31am — No Comments
Contributed by Paul Grech. He took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his third class project(due at 6th week of the program).
Contributed by Paul Grech and Chris Neimeth. They took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on their second class project(due at 4th week of the program).
Added by NYC Data Science Academy on November 30, 2015 at 7:30am — No Comments
In this short webinar watch how we help leading Investment Managers, Banks, Brokers, Asset Managers and Hedge Funds supercharge their existing investment approaches with Big Data, Semantics and Machine Learning.
Director James Phare talks about how we use machine learning algorithms, semantics and other techniques to process huge volumes of unstructured, semi structured and structured data in order to identify hidden risks and opportunities.
Added by Zygimantas Jacikevicius on November 30, 2015 at 5:30am — No Comments
If you’re looking for a job in the big data world, chances are you may be overwhelmed. The fact is that there are more jobs out there than there are applicants. A good problem to have, to be sure, but how do you decide which jobs to go after in such a wide playing field?
Having too many choices can be just as debilitating as having too few, so apply…Continue
Added by Bernard Marr on November 28, 2015 at 10:00am — No Comments
Added by Lisa Hale on November 27, 2015 at 3:55am — No Comments
I was trying to find some good domain name for our upcoming business science website, when something suddenly became clear to me. Many of us have been confused for a long time about what data science means, how it is different from statistics, machine learning, data mining, or operations research, and the rise of the data scientist light - a new species of coders who call themselves data scientist after a few hours of Python/R…Continue
Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results. This process is called Data Modelling. To avoid human error and speed up the process specialised software is used to help with building a logical data model, a physical data…Continue
Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.
The full version is always published Monday.…Continue
Added by Vincent Granville on November 25, 2015 at 9:00am — No Comments
Hadoop is the leading open-source software framework developed for scalable, reliable and distributed computing. With the world producing data in the zettabyte range there is a growing need for cheap, scalable, reliable and fast computing to process and make sense of all of this data. The underlying technology for Hadoop framework was created by Google as there…Continue
The increase in data explosion has created a huge demand for intelligent virtual assistants across the world. The rising focus of enterprises on enhancing customer relationships is presenting ample opportunities for participants operating in the global intelligent virtual assistant market. In 2014, the global market…Continue
Added by Madhuri Pawar on November 24, 2015 at 9:30pm — No Comments
This week we explore two different themes related to data. The first is how to value big data. The second looks at approaches for quantifying individual experience within the context of gender discrimination.
It's generally taken for granted that data is a strategic asset. Every salesperson knows this, which is why they covet their Rolodex. It's one thing to know that data is valuable, and it's another to quantify that…Continue
Added by Brian Rowe on November 24, 2015 at 5:03pm — No Comments
So let's say you have a business that has quite some people constantly accessing the company's data. Furthermore, your company has multiple locations; perhaps branch or satellite offices and the people at those remote locations also need that data. That's a lot of fingers in the data pie, and that means you need to come up with a way of dealing with the demand on one hand while maintaining data integrity on the other.
This looks like a job for data centralization. Centralization can…Continue
Added by Stephen Jeske on November 24, 2015 at 11:17am — No Comments
Research studies show that employees perceive diversity and inclusion (D&I) as two conceptually distinct organizational practices. Whereas diversity focuses on organizational demographic blend, inclusion removes obstacles so that members from different groups work in harmony and achieve desirable business outcomes.
It is well recognized that diverse and inclusive organizational culture promotes creativity and innovation. The positive effects of diversity led to a growth of…Continue
Change is inevitable and so are failures
The changes in technology are happening at an incredible pace. Every day there are new software languages, system processes, cloud platforms, software capabilities, etc. introduced to the digital world in some way. This new technology is being seamlessly integrated with technology built yesterday.
It is impressive and somewhat breathtaking when these various systems work together in harmony however they will fail sooner or…Continue