About six years ago, an out-of-the-box idea started making waves all over the web, and its campaign on Indiegogo.com was one of the most successful ever recorded. Not only have they gathered over $2.2 million USD from enthusiasts in all corners of this oblate spheroid we call home, but they also got $1.65 million and some change from several contracts for SBIR (Small Business Innovative Research), from the USDOT (U.S. Department of Transportation) and various personal donations from 2009 to 2015. Where did all this money go? Most of it went into empiric, trial and error, rather expensive R&D for the Solar Roadways® hexagonal panels/pavement blocks. It was a “wild idea” that had conquered Julie Brusaw, a concerned-for-the-environment private counselor […] Continue Reading
The term “big data” is a phrase born of this century, but the concept isn’t revolutionary. Modern businesses of all sizes already generate data on a daily basis from a variety of sources, including CRM systems, ERP systems, and social media. The primary challenge for most businesses is finding a way to harvest the relevant data from this wealth of available information and using it to provide actionable insights. Marketing is one area that can dramatically benefit from big data analysis. Data-Driven Marketing can improve customer relationships, create a one-to-one conversation between buyer and seller, and drive customer engagement and sales. With data-driven marketing, marketers can deliver the best possible message to the right people at the right time. What is Data-Driven […] Continue Reading
Guest post by Lorna Campbell, Nalanda Technology There are a lot of variables and risks when searching disparate sources with different standards, qualities, volumes and potentially duplicated. If 20% of the average workforce is spent searching, are they finding the material they are looking for in a precise and cost effective manner? In the past we used libraries for research and would ask academics for help, to do so we needed to give precise requirements and variables. If we were not precise there was a risk that the researcher would not provide a helpful response. With growth in unstructured data, in general terms, we need to be as precise or else risk having too many results to manage. Some of […] Continue Reading
You are part of the big data community and haven’t decided yet about joining Big Data Week London? Here are five good reasons and a discount code for your special chance to attend Big Data Week London 2016: Key big data experts and influencers Our conference brings together top big data influencers and a whole suit of big data experts. Join BDW London and get to know them at our VIP networking party! Ready-to-use business solutions Join us in London for a one-day conference showcasing innovative ideas and best practices that you can implement straight away. Big data in real business scenarios This year’s BDW London Conference features awesome talks centred on innovative ways Finance, Healthcare, Retail, IoT, Entertainment […] Continue Reading
Guest post by Katherine Pomfret, Chief Organiser Big Data Week Leeds, originally published on LinkedIn. We all grew up with stories. We loved them as children, when the world was a large and confusing place, because they offered certainty. They delivered powerful messages to our minds, and we learned about the world without realising we were learning, and without having to put in effort. Because images were clear and consistent (all witches are wicked, all princes are handsome, all forests are dangerous), and because of the relentless cause and effect movement of the narrative, we felt confident in drawing conclusions on the basis of stories, and felt confident also in our judgement as to the rightness, or otherwise, of a given course […] Continue Reading
Remote DBA Experts Explain the Impact of Big Data on Database Management by Sujain Thomas from Remotedba Data management has always been part of organizational management. However, with the advent of new data collection and retrieval technologies over the last two decades, the amount of data being generated is in greater volumes and much more diverse. Systems such as RDBMS which had dominated the landscape for decades are now falling by the wayside to give way to NewSQL and NoSQL among others. Data generation today is in virtually every aspect of life from banking, healthcare and education to social life. As an organization with an online presence, data management is no longer a competency but a differentiator that determines winners […] Continue Reading
Are you worried that you haven’t yet mastered all of the ins and outs, ups and downs, and quirky oddities of big data? Don’t fret. Nobody has it mastered 100 percent just yet. But you will need to get on board and begin a data initiative pretty soon so you won’t be left behind. Here are all the ways that big data is changing advertising, so you can be sure your data plans are on the right track. 1. Understanding the Difference in the Right Data, Not Just Big Data The first thing to know is that not all data is even worth your while. You’ll need to assess what data is useful to collect and analyze, and what data […] Continue Reading
What is machine learning? Machine learning (often shortened within the industry as ML) is a kind of artificial intelligence (AI), which is an offshoot of big data. AI, and by extension, ML, utilize big data in a different way than typical analysis. These practices are capable of taking in data, building assumptions based on the data, testing hypotheses about those assumptions, and drawing conclusions from the results. Though not nearly as complex and sophisticated as human learning, AI and ML can do rudimentary logic by themselves. Yes, it sounds a little creepy (and potentially even 2001 Space Odyessy-ish), but there are numerous practical uses for AI and ML. What can ML do for retailers?
As most organizational data sets grow beyond the capabilities of the traditional data warehouse, a lot of businesses are taking a look at the option of building a data warehouse. But scanning the tech news headlines and IT blogs, you’ll find two camps: the one saying that the data lake is the salvation of your data architecture and data plans, and the camp that maintains a data lake is nothing but a data swamp — the place where good data goes to die without a decent burial.