Source – techrepublic.com Big data exploration usually starts at a high level of data abstraction, and then gradually plumbs into the depths of the data as companies learn more from it. The approach has worked well, and is operative in many different types of applications. For instance, GIS and mapping systems use data to visualize a Read More
Source – siliconrepublic.com If you want to be a data scientist, the tech world is still rife with opportunities. As with most booming tech sectors, attracting enough talent to fill the demand is important. One way of doing this is to give visibility to the talent that is already there, highlighting the importance of data science Read More
Source – cio.com Until recently, data scientists could design algorithms with the assumption that the data to be explored would be brought together in a single, centralized repository, such as a data lake or a cloud data center. But with the explosion of data and the rise of the Internet of Things (IoT), social media, mobility and Read More
Source – forbes.com Artificial intelligence is firmly embedded throughout the economy. Financial services firms use it to provide investment advice to customers, automakers are using it in vehicle autopilot systems, technology companies are using it to create virtual assistants like Alexa and Siri, and retailers are using artificial intelligence (AI) together with customers’ prior sales histories, Read More
Source – afr.com Work is a defining feature of our civilisation. We spend more time in our jobs than any other activity and the spoils of our labour provide us the means to survive. It gives identity, status and purpose. So we can be forgiven if we get nervous when our jobs are threatened. And there Read More
Source – technologyreview.com Avitas Systems, a GE subsidiary based in Boston, is now using drones and robots to automate the inspection of infrastructure such as pipelines, power lines, and transportation systems. The company is using off-the-shelf machine-learning technology from Nvidia (50 Smartest Companies 2017) to guide the checkups, and to automatically identify anomalies in the data Read More
Source – yourstory.com This autumn or post-monsoon, depending on which part of the world you live in, the movie Blade Runner will see a return after 35 years. If you remember the first movie, the artificial intelligence character, or the “replicant”, the antagonist, played by Rutger Hauer, saves the protagonist, played by Harrison Ford, from dying. After that, Read More
Source – infoworld.com Nginx has introduced an application server for microservices environments. The open source Nginx Unit is designed for environments where developers use multiple languages in their deployments. It’s typical in microservices to use multiple languages and thus have multiple software stacks to manage and control, the company says. In its beta release this week, Nginx Unit Read More
Source – enterprisersproject.com Even Match.com could not have done a better job finding a mate for microservices. Microservices – single-function services built by small teams, independent from other functions, and communicating only through public interfaces – simply make a great match for containers. Microservices plus containers represent a shift to delivering applications through modular services that Read More
Source – cio.com It’s getting pretty hard to escape Artificial Intelligence (“AI”). I don’t mean the impact that AI will have on your life — I just mean the idea of AI. In the business and technology press, a single day does not pass without some reference to the impact that AI is having — or Read More
Source – cxotoday.com The farming industry is on the cusp of a so-called ‘technological revolution’. With drones, robots and intelligent monitoring systems now successfully being used in research and field trials, artificial intelligence, or machine learning, is set to revolutionise the future of farming as the next phase of Industrial Revolution in agriculture is on the horizon. According to the Read More
Source – forbes.com As someone who often finds himself explaining machine learning to non-experts, I offer the following list as a public service announcement. Machine learning means learning from data; AI is a buzzword. Machine learning lives up to the hype: there are an incredible number of problems that you can solve by providing the right training data Read More
Source – dailyutahchronicle.com In Plato’s “Phaedrus,” Socrates tells the legend of King Thamus who is given the gift of writing from Theuth, the Egyptian god of knowledge. Writing, Theuth persuades, will act as a mass remedy for memory loss, allowing information to be more easily remembered and stored. No longer will people have to rely on Read More
Source – top500.org Retail giant Walmart is going to deploy an GPU-accelerated cloud to be used for machine learning – that according to an investor note penned by Trip Chowdhry of Global Equities Research. Although it’s not known how Chowdhry came by the information, he said within the next six months or so, WalMart is going Read More
Source – hpcwire.com For about a year the Renaissance Computing Institute (RENCI) has been assembling best practices and open source components around data-driven scientific research to create a rapidly deployable “cross-disciplinary Data CyberInfrastructure” dubbed xDCI. Funded in part by NSF, and quite far along in its first two test cases, xDCI could become a powerful enabler Read More
Source – thecipherbrief.com Hunger and political instability go hand in hand. Fighting and droughts across Somalia, South Sudan, Yemen, and parts of Nigeria have caused dire situations and have driven up food prices, placing over 20 million people under increased risk of food insecurity. Terrorist groups and criminals prey on such situations, exacerbating political tensions and violence. Leadership Read More
Source – news18.com As Tipsy methodically unfolds an arm to select a glass, retrieve ice and mix a drink, it’s all a far cry from the flashy swagger of Tom Cruise in Cocktail. But then he doesn’t have the twinkle in his eye of a fictional Hollywood bartender — or any eyes at all, for that matter Read More
Source – forbes.com We produce 2.5 exabytes of data every day. That’s equivalent to 250,000 Libraries of Congress or the content of 5 million laptops. Every minute of every day 3.2 billion global internet users continue to feed the data banks with 9,722 pins on Pinterest, 347,222 tweets, 4.2 million Facebook likes plus ALL the other data we create by Read More
Source – digitaltrends.com Distortions in space-time sound like they’d be more of a concern on an episode of Star Trek than they would in the real world. However, that’s not necessarily true: analyzing images of gravitational waves could help enormously extend both the range and resolution of telescopes like Hubble, and allow us to see farther into the universe Read More
Source – hindustantimes.com In July 2016, Georgia Tech professor Ashok Goel hired Jill Watson, a teaching assistant for the spring semester. Jill was great at online student interactions, answering questions and was nominated as an outstanding assistant by students. The difference between Jill and other assistants? Jill is a chatbot. Her DNA is based on an Read More
Source – information-age.com There are many qualities that we search for in great leaders: wisdom; loyalty; constancy; courage; the ability to communicate persuasively, balanced with a willingness to hear uncomfortable truths and to change direction. But when it comes to a great data leader, a crucial role in an increasingly digitalised era, the defining characteristics vary Read More
Source – sfchronicle.com In spring 2016, UC Berkeley’s first Foundations of Data Science course attracted around 300 students. This semester, nearly 1,000 have enrolled — and university officials are working to create a data science undergraduate major, the first new major for the College of Letters and Science in at least 16 years. “No program has Read More
Source – fiercehealthcare.com Big data has a lot of potential to improve healthcare and a number of companies are developing applications to help make that happen, according to a new report. Healthcare market research firm Kalorama Information dove into government and trade source databases to outline some of the uses of big data and the groups that are driving the push for Read More
Source – azcentral.com You might not be in your dream job. Most likely, you don’t make as much money as you would like. But let’s face it: Today’s employment market has improved substantially over the past several years. The nation already is nearly back to what economists call full employment, with a U.S. jobless rate easing to near 4 Read More
Source – cbronline.com It’s safe to say that Python is a pretty popular tool across a whole range of industries and professions, thanks, no doubt, to the programming language’s accessibility, wealth of libraries and frameworks, and of course, its huge community of die-hard devs that claim Python should be the tool of choice for any self-respecting Read More
Source – businessworld.in You must have heard the famous quote, ‘If you don’t know where you are going, then any road will get you there.’ However, in a data driven world where the contention among organizations to get dynamic is getting close with each passing day. Every business organization is peddling up to capture all the Read More
Source – zdnet.com At the core of any DevOps initiative is the judicious employment of containers and microservices, which dramatically speed up and simplifying the jobs of developers and operations teams alike. While many of the tried-and-true rules of IT management apply, containers and microservices also add new considerations, and new ways of doing things. To Read More
Source – huffingtonpost.com If an enterprise has Big Data on hand, the urge to convert it into actionable information that would help business thrive seems obvious. Let’s zoom in on how we can apply Machine Learning to business. To illustrate the case, we’ll use the results of a problem-solving session that took place at a datathon. Read More
Source – nytimes.com The technology entrepreneur Elon Musk recently urged the nation’s governors to regulate artificial intelligence “before it’s too late.” Mr. Musk insists that artificial intelligence represents an “existential threat to humanity,” an alarmist view that confuses A.I. science with science fiction. Nevertheless, even A.I. researchers like me recognize that there are valid concerns about its impact Read More
Source – news.xinhuanet.com Researchers from the U.S. Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have shown that neural networks, a form of artificial intelligence, can analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods. The work, by a research team at the Kavli Institute for Read More