Source – healthdatamanagement.com More healthcare organizations are looking to use mobile technology to better engage patients, but providers must broaden their strategies to get more value from their efforts. Data science needs to be incorporated into these efforts, enabling organizations to achieve strategic benefits from their efforts. From our organization’s experience, we found that data science Read More
Tag: data science
Source – techacute.com Today we’ll talk about cases and solutions when Machine Learning (ML) as a Service doesn’t work. When this happens, your company shouldn’t start off with hiring a data scientist. The best option is to invest in a custom-made solution to solve your urgent business needs. Only then when you have a workable solution, Read More
Source – infoworld.com Data scientists are in high demand, and this skills shortage looks to continue for the next few years. According to a study by IBM, by 2020 the number of annual job openings for all data savvy professionals in the United States will increase from 364,000 openings to 2,720,000. Furthermore, according to the study, the Read More
Source – techcrunch.com There are few more credible authorities on artificial intelligence (AI) than Hilary Mason the New York-based founder and chief executive of the data science and machine learning consultancy Fast Forward Labs. So, I asked Mason, who is also the Data Scientist in Residence at Accel Partners and the former Chief Scientist at Bitly, whether today’s AI revolution is for Read More
Source – imeche.org The smart materials of the future are likely to be discovered not in the lab, but on a supercomputer. Materials science has exploded in recent years – offering tantalising potential solutions to engineering challenges ranging from higher-capacity batteries to safer medical devices. There are materials that work at the molecular level to fight bacteria, Read More
Source – betanews.com Big data and analytics are topics firmly embedded in our business dialogue. The amount of data we’re now generating is astonishing. Cisco predicts that annual global IP traffic will reach 3.3 ZB per year by 2021 and that the number of devices connected to IP networks will be more than three times the global population Read More
Source – cio.com Monsanto CIO Jim Swanson has outlined five key elements of Monsanto’s digital transformation: customer centricity, internal business process disruption, technology and automation, data and decision science, and leadership and change management. He views all of those facets as integral to breaking through the “clay layer” of mid-level employees, present in every organization, who Read More
Source – forbes.com University degrees are really, really expensive and there are plenty of new startups in Silicon Valley offering job readiness training for much cheaper. So, how does a $100,000 graduate degree in statistics stack up to an online course for 1/100th the price? The short answer is that I think for many jobs, an online certificate Read More
Source – computerweekly.com Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for Read More
Source – financialexecutives.org Few people will dispute that organizations have more data than ever at their disposal. But actually gaining meaningful insights from that data—and transforming these insights into action—is easier said than done. The bigger challenge, however, is how to effectively navigate through this massive amount of data in search for the right data needed to provide Read More
Source – hotsr.com Today marks the United Nations’ World Day Against Trafficking in Persons, a day focused on ending the criminal exploitation of children, women and men for forced labor or sex work. Between 27 and 45.8 million individuals worldwide are trapped in some form of modern-day slavery. The victims are forced into slavery as sex Read More
Source – techrepublic.com Career opportunities in the IT industry are booming in this era of technological advancement and information development. If you were considering jumping into the industry as a data specialist, there is no better time than now. Plus, you can easily get up to speed on the fundamental programs of the trade with The Big Read More
Source – news.virginia.edu In the mushrooming quantity of data generated by modern society, the University of Virginia sees an opportunity for accomplishing good. UVA’s Data Science Institute serves as a hub around which researchers can probe and analyze massive data sets to glean insight that could help solve thorny problems and improve the quality of life. Read More
Source – newelectronics.co.uk In June 2013, Sir Mark Walport and Professor Dame Nancy Rothwell, co chairs of the Council for Science and Technology, sent a letter to then Prime Minister David Cameron entitled ‘The Age of Algorithms’. The letter contained eight recommendations, the sixth of which was the establishment of a National Centre to promote advanced Read More
Source – eyefortravel.com/mobile-and-technology As head of data science at Trainline, Fergus Weldon, who will be speaking at EyeforTravel’s Smart Travel Data Summit 2017, is at the coalface of innovation. In an exclusive interview he shares ten things he knows about data science today. 1. Being a data scientist is being the voice of the customer In the past Read More
Source – nanalyze.com The Chinese are pretty much on a tear lately, having announced a few days ago that they plan to achieve global dominance in AI by 2030. The Chinese have traditionally been “not so very good” when it comes to translating English, but have recently committed to changing that, perhaps, because they know it is an important Read More
Source – telanganatoday.com Part of Data Science, Machine Learning involves feeding data to algorithms which then detect patterns in the data and automate or assist decision making. Let’s see the options available in careers in Machine Learning. Who is it for? You can begin your career in Machine Learning if you are an engineer trained in Read More
Source – datanami.com If you were a data scientist three years ago, you could pretty much write your own ticket. Everybody in the industry, it seemed, either wanted to hire a data scientist, or wanted to be one. But today, thanks to a confluence of factors, organizations are beginning to question whether they need these digital Read More
Source – siliconangle.com With the help of modern analytics, Riot Games Inc. developed a highly successful computer game called League of Legends, in which players form teams of champions and compete with other players around the world. Wesley Kerr (pictured), senior data scientist at Riot Games, explained how his organization is leveraging data science to improve player experience Read More
Source – information-management.com Reports to: Depending on the organizational structure of the business in which you as a data scientist find yourself in, you may be reporting into a lead data scientist, a principal, a chief technology officer, a chief data officer or in cases of some start up organizations, perhaps a CEO. As with your responsibilities, Read More
Source – loyalty360.org Keeping pace with trends in any industry is an integral point for loyalty marketers. When it comes to loyalty program science, Loyalty360 talked to Eoin O’Sullivan, global director of analytics/bBI at Snipp, to find out the latest trends that loyalty marketers should be aware of and incorporate into their respective business strategies. Can you Read More
Source – iot-for-all.com Edge computing is a means of processing data physically close to where the data is being produced, i.e. where the things and humans are – in the field area, homes, and remote offices. Since they don’t live in the cloud, we need to complement cloud computing with many forms of computing at the edge Read More
Source – econsultancy.com So, you want to build a data science team? Here’s some stuff to think about. Before long, just like this stock photo, you’ll have a team of weird orange people with big bulbous heads, who can sit around a table looking at an enormous hologram of a simple bar chart. In this article we Read More
Source – insidebigdata.com As companies continue to invest in big data, the issue is becoming less about the data itself, but rather how the data is used to create competitive products and services. According to Gartner, “Companies will be valued not just on their big data, but on the algorithms that turn that data into actions Read More
Source – searchbusinessanalytics.techtarget.com Data scientists apply machine learning and artificial intelligence algorithms to ever-increasing mounds of data in an attempt to tease out gold nuggets of information that can be used for business benefits. But, while there may be some case studies in which companies boast about their analytics achievements, one might ask how successful the data Read More