Source – telegraph.co.uk Small and medium-sized enterprises (SMEs) are drowning in data, but with the right cloud technology apps and setup, they can make use of the deluge without costly infrastructure or IT configurations. For example, cloud services can take on reams of data that would once have required a room full of servers – and what’s Read More
Month: July 2017
Source – engadget.com Although the field of machine learning has only recently reached mainstream notoriety, machines have been taught to learn and make predictions from data for decades. You probably already make use of some of its more established applications like email spam filtering, optical character recognition of scanned documents, and animated dog ears in Snapchat. 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 – news18.com Signifying the growing popularity of Artificial Intelligence (AI), global research firm Gartner has predicted that AI will be virtually pervasive in almost every new software product and service by 2020. Owing to its market hype, almost all established software vendors are working to introduce AI into their product strategies which is creating considerable Read More
Source – bizjournals.com Estimates suggest that the United States wastes more than $1 trillion each yearon health care (one-third of all health care spending). This waste includes over-treatment, seeing multiple doctors unnecessarily, care delivery failure and lack of care coordination. Unfortunately, health care cost-cutting measures have historically made matters worse in the United States, often cutting back Read More
Source – ndtv.com Google Analytics now has the same natural language processing technology available in other Google apps such as Photos and Search, the Internet giant announced on Tuesday. That means you can now ask questions in plain English, which gets you answers quicker than before. Depending on the question you ask, you will be presented with a number, Read More
Source – entrepreneur.com Machine learning isn’t new to the enterprise, but technological advances and accelerating investments have made it available to the average entrepreneur. In fact, according to a recent Forrester survey, machine-learning investments are increasing 300 percent this year compared to last year. Already, machine learning has made its mark in areas like self-driving cars, personalized-content Read More
Source – information-age.com The Wall Street Journal recently reported that start-ups will have a prominent role at this year’s Paris Air Show. Around 100 companies will have the opportunity to pitch to receive funding from the big boys of aerospace at an event where young companies were once shunted to the side. It’s further evidence of Read More
Source – healio.com Let me introduce this cautiously entitled Editorial by first expressing how pleased we are to have engaged such a talented and productive group of experts on the use of “big data” in rheumatology. I am wholeheartedly enthusiastic about what we have already reaped from big data and firmly believe the greatest potential for gain in Read More
Source – techbullion.com In 2016, KPMG reportedthat many organisations were struggling to keep pace with changing customer behaviour, globalization, regulatory policies and disruptive technologies. The report further noted that senior executives across the globe did not consider their organisations capable of responding effectively and driving the transformational changes. However, with time, big data is going to be Read More
Source:- thedrum.com In recent months you’d be forgiven for thinking that media buying as a discipline is going to hell in a handcart, with Google itself being the latest to suffer the slings and arrows of programmatic media buying’s outrageous fortune. But instead of viewing recent events as some kind of advertising apocalypse, we should Read More
Source:- businessinsider.com A recent artificial intelligence (AI) experiment Google conducted in partnership with Carnegie Mellon University (CMU) showed that it’s possible to get far better image recognition results simply by feeding algorithms a lot more data, according to a Wired report. Google released a new paper last week outlining the principles behind the experiment. Machine Read More
Source:- seekingalpha.com From personal assistants like Siri, to movie suggestions on Netflix, artificial intelligence (NYSE:AI) is rapidly becoming ubiquitous in everyday life. As this technology continues to advance in capability and prevalence, we sought to explore AI and several closely related subtopics: machine leaning, deep learning, and neural networks. What are the Differences between Artificial Read More
Source – venturebeat.com Deep learning is a new method of artificial intelligence that is an active, fast-moving area of research where we can expect advances to become market-ready over the next several years. Unfortunately, market hype has turned deep learning into a buzzword that can contribute to the misconception that other approaches to AI are not relevant. Read More
Source – bloomberg.com Imagine that tomorrow, some smart kid invented a technology that let people or physical goods pass through walls, and posted instructions for how to build it cheaply from common household materials. How would the world change? Lots of industries would probably become more productive. Being able to walk through walls instead of being Read More
Source – theregister.co.uk Machine Learning is becoming the only real available method to perform many modern computational tasks in near real time. Machine Vision, speech recognition and natural language processing have all proved difficult to crack without ML techniques. When it comes to hardware, the tasks themselves do not need a great deal of computational power; 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 – theconversation.com Artificial intelligence (AI) promises to revolutionise our lives, drive our cars, diagnose our health problems, and lead us into a new future where thinking machines do things that we’re yet to imagine. Or does it? Not everyone agrees. Even billionaire entrepreneur Elon Musk, who admits he has access to some of the most Read More
Source – cxotoday.com Data is everywhere; in the webpages you visit, in blog posts you read, on social media platforms you post on, the videos you watch – all of it and more. It would suffice to say that everything you do on the Internet creates data – as does everything you don’t. We generate nearly Read More
Source – news.psu.edu UNIVERSITY PARK, Pa. — Twitter may have started out as a way to connect to other people and share news quickly, but the social media platform is also a powerful tool, with the data generated representing the largest publicly accessible archive of human behavior in existence. Guangqing Chi, associate professor of rural sociology Read More
Source – chronicle.com s we reach our 10-year anniversary, my colleagues and I have been reflecting on the growth and impact of the Great Colleges to Work For survey. We’ve been encouraged to see that impact extend beyond just the participating colleges. We’ve seen and heard from countless institutions that have become more intentional about their 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 – business2community.com Over the decades, the monolithic, tiered approach to building software has given way to a more distributed, component-based architecture commonly referred to as “microservices,” although some components aren’t “micro” at all. Separating out an app’s services into isolated, interoperable containers has revolutionized the way developers are able to update, add to, or expand parts of an app. Read More
Source – tech.co Artificial intelligence has been a mainstream science-fiction dream ever since the release of “2001: A Space Odyssey.” In 2017, the tech industry has proven that this technology isn’t a fantasy, but a concept that is driving modern innovation. Today, there are four revolutionary changes being made possible by modern AI algorithms. Natural Language Chatbots Read More
Source – bbc.com Among its many possible applications are robots with better eyesight – and drones to spot defects in buildings before they collapse. It is the result of a collaboration between the University of the West of Scotland and the French multinational electrical systems group Thales. It is based around the concept of “deep learning” Read More
Source – i-programmer.info The latest artistic AI is Google’s Creatism, a deep learning photographer which it claims is capable of creating professional quality work. Looks like photographers aren’t immune from the robot/AI takeover. One of the problems with using AI in any creative endeavour is that it is really difficult to judge how well things Read More
Source – venturebeat.com Machine learning and artificial intelligence (AI) are not just tools for streamlining customer engagement. They represent an opportunity for companies to completely rethink how they build context around each individual, ultimately creating a better experience and a more loyal customer. By tapping into the potential of these new technologies, brands can cost-effectively enable and Read More
Source – forbes.com Artificial Intelligence will have a profound impact on the IT industry. The Machine Learning algorithms and models that bring AI to the forefront get only better with data. If these algorithms can learn from existing medical reports, and help doctors with diagnosis, the same can be used to improve IT operations. After all, 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