How Edge Computing will Make Widespread IoT Use Possible
The Internet of Things (IoT) has been a dream for many people working in the tech and big data fields for years. Despite the exciting implications of widespread IoT use, however, the concept has been slow to catch on with the general publicâ€”with a few exceptions. Smart home devices are gaining popularity, and there is a lot of interest in the progress of self-driving vehicles, but the potential of IoT has still been largely unexplored. IoT devices could touch every corner of our lives, and weâ€™re not harnessing much of that power at all. But why? Partially, because of our current Internet infrastructure. Itâ€™s just not up to the task of handling the massive amounts of data collected by IoT devices. The good news? The cloud and edge computing could make widespread IoT use possible.
What are Cloud and Fog Computing?
These days, cloud computing is something we use every day. Instead of storing data on a local server or a hard drive, it is saved on the â€œcloudâ€�, which is made up of remote servers, allowing the data to be retrieved and processed wherever there is an Internet connection. There are limitations to the cloud howeverâ€”and those limitations are tied to ...Read More on Datafloq
8 Amazing Smart Home IoT Devices Available in 2017
Do you sometimes feel like your home greets you like an old friend when you come home from a long day in the office? Well, what if it could? The Internet of Things (IoT) continues to develop rapidly, with new devices becoming available every year. Smart homes are one of the most widely adopted IoT applications currently available to consumers, and devices for smart homes are becoming more popular each year. One of the biggest benefits of smart home devices is that they are totally customizableâ€”you can choose the devices that make sense for your life. But what options are out there? Well, we still havenâ€™t seen a device that will cook your breakfast for you, but these 8 cutting-edge smart home IoT devices are available this year, and could make your life a whole lot easier.Â
1. Sensi Wi-Fi Thermostat
Letâ€™s face it, not everyone likes a room to be the same temperature. You wonâ€™t always be able to agree on what makes for a comfortable room, but you will be able to optimize your preferences with the Sensi Thermostat. The Sensi allows you to set different temperature schedules, depending on the day of the week, giving you better control over ...Read More on Datafloq
How Kids are Learning Code in the Classroom
Reading, writing, and arithmetic…and code?
“Learn to code” has been a directive given to students and young professionals throughout the country (and the world) for the last several years. It makes sense—so many careers today involve at least some basic knowledge of a programming language. On top of that, some programming-dependent fields, like big data, are experiencing a major talent shortage, and people who can code have an easier time finding a high-paying job. This shortage may be partially due to the fact that coding is not taught as a required skill in the classroom. Much like proficient literacy, which opens doors for students in the workforce (60% of people with proficient literacy work in the management, business, financial, or professional sectors), coding can help students make the transition into the workforce, no matter what field they choose. Additionally, learning to code has other benefits, allowing students to develop problem-solving and critical thinking skills, as well as the all-important “grit” that gives students the persistence to succeed. Many educators are recognizing these benefits, and are working to incorporate coding curriculum into the classroom, to give their students a head start on their future.
Innovative Methods of Teaching
It’s easy to get discouraged when ...Read More on Datafloq
How Facial Recognition’s Plays a Role in Catching Criminals
Big data is constantly making our lives better by helping businesses to serve us better while becoming more efficient, pinpointing trends in large datasets, and even improving healthcare. It’s also definitely making criminals’ lives harder in many ways, making our communities safer overall. From helping police to identify crime patterns in cities to scanning large databases for specific information, big data is revolutionizing criminal justice, and making it a lot harder for people to get away with breaking the law. Fingerprint analysis has long been an important part of forensic evidence to build a case, but thanks to big data and artificial intelligence, there’s a newer tool that can help identify suspects: facial recognition.
How it Works
If you’re out and about these days, there’s a good chance you’re getting caught on video somewhere. Surveillance cameras aren’t just for gas stations these days, and they can be helpful witnesses in criminal activity. With enhancement technology available, it’s often an easy way to identify a suspect. However, calling on the public to identify individuals in these photos often wastes precious time—time for criminals to skip town or change their appearance.
Facial recognition in criminal justice relies on a database—a big data dataset that contains ...Read More on Datafloq
How Important is Big Data in Recruiting?
Intuition. That’s what most recruiters and hiring managers use to make their decisions on which applicants get offers. In a world that is moving toward more data and logic-driven decisions at every turn, recruiting is a surprising change of pace. Or is it? Big data has touched nearly every facet of business, and recruiting is no exception. Large companies have been using data to choose their new employees and decrease turnover for several years. But how much better is predictive analysis than the human intuition when it comes to recruiting?
Can Big Data Save Companies Money on Hiring?
It costs a lot to hire and train an employee. Figures vary widely based on the type of position, but some studies estimate that it costs 6-9 months’ of the new employee’s salary for onboarding and training. With costs like that, minimizing turnover is a key money-saving goal for any business.
Data points available from information about applicants online have helped hiring managers to devise new ways of evaluating potential employees, including complex personality tests that can help predict culture fit. But only when large data sets are used to predict specific outcomes, like retention rates, does big data come into recruiting.
For the big companies ...Read More on Datafloq
IoT Progress: What’s Really Happening with Driverless Cars in 2017?
There’s been a lot of buzz about driverless cars since the first prototypes were announced. However, aside from a few grim stories about accidents (like the fatal crash involving a driverless Tesla in 2016 due to a combination of sensor and driver failure) and sporadic updates on the progress of driverless cars, most people haven’t seen them on the road—because there aren’t that many out there yet. So what’s really going on with autonomous vehicles in 2017? Let’s find out.
Almost Ready for the Showrooms
This year’s CES (formerly the Consumer Electronics Show) is hosting a special guest: Delphi Automotive Plc, which is showing off its new Audis with self-driving systems that consumers will eventually be able to purchase. This shows that driverless car manufacturers are shifting their focus from proving that the technology works to actually selling the new cars. Showrooms will soon feature these vehicles with autonomous features, and the goal for manufacturers of these systems is to get them in the hands of automakers and public and private transit services. Projections are that these cars will be on the road within about 5 years.
What Features Will They Have?
With self-driving cars coming to a road near you (Uber and Lyft ...Read More on Datafloq
4 Industries Leading the Way in IoT Integration
The Internet of Things (IoT) is coming, and almost no one is disputing that reality. Someday in the near future, most devices will be connected and networked to make our lives easier. The only question now is…when? Some industries have been quicker than others to hop on board and build the technology and integrate IoT devices into their everyday operations. Here are 4 that are leading the way in IoT integration—and reaping the benefits.
There’s a lot of waste in public utilities, and many companies are using IoT sensors and other devices to cut down on waste and promote efficiency. Smart meters and smart grids allow utility companies to better analyze demand and cut down on inefficiencies by distributing utilities according to where they’re needed at any given time. As utility systems are replaced, they’re being upgraded to connected, digitized systems, which offer more opportunities for cities to become greener, smarter, and less wasteful.
Self-driving cars are the next big step in transportation, and these systems rely heavily on IoT sensors to pilot the car and prevent collisions. According to Intel, a self-driving car must process about 1GB of data per second, using advanced computing systems and analyzing potential threats in real time. ...Read More on Datafloq
5 Tips for Leveraging Big Data to Increase Holiday Sales
Running an e-commerce store? A small business? Big data could help you nab more sales this holiday season and get the revenue flowing in. If your small business has moved online, then you’ve already gained a significant edge over your competitors who are still operating only in physical locations.
Spending forecasts back in October were strong: the National Retail Federation estimated a 3.6% increase in overall holiday sales—and a full 7-10% increase for online sales. Shoppers are ready and willing to spend money this time of year, and you can use that to your advantage by getting your products and discounts in front of them—as helpfully as possible. Whether you’re a small business with a brick-and-mortar location, or an e-commerce shop with no intention of bringing your products offline, you can use big data to increase your overall holiday sales.
1. Using Available Data to Personalize the Shopping Experience
If you’re already using analytics, then you know just how much information is available to you about your online shoppers. Use that data for more than just insights on what customers are interested in—use it to personalize the shopping experience for your site’s visitors! You can use past purchase history, pages viewed, email open ...Read More on Datafloq
How Sacrificing Cyber Security Affects Big Data Innovations
Business executives quickly have to learn to prioritize in order to help their company grow. There are only so many resources available and so many hours in the day, so some sacrifices have to be made while the business is being built. Unfortunately, some companies don’t make the best decisions when prioritizing and allocating resources. There are some areas of the business that seem like a chore or an unnecessary expenditure, and many businesses skimp out in these areas—often resulting in problems down the line. Cyber security is one pressing issue that no one wants to deal with, but it’s something that businesses in every industry should be concerned about. Unfortunately, many companies are so laser-focused on innovation that they don’t put any resources into protecting the sensitive data they collect and store. How does this affect the business and its big data innovations down the road?
Prioritizing Innovation Leaves Vulnerabilities
Innovation is fun. Innovation is what sets businesses apart from their competitors, makes them industry leaders, and helps them to attract further funding. Cyber security is not fun. It’s an expenditure that doesn’t have an immediate return on investment (ROI)—and the ROI may never be obvious. However, cyber security is an ...Read More on Datafloq
GPS, IoT, and the Future Tech that Could Replace it All
Whether you’re lost on a lonely country road, or simply want to check into a cute café in New York City, GPS always has your back. Now that it’s so fully integrated into our cars, our phones, and our lives, it can be hard to remember a time before location services were available on almost every device. Where would we be without GPS today? Besides making it tough to get lost as long as your battery lasts, GPS has become more sophisticated and useful than we could have imagined twenty years ago. In honor of Geographic Information Systems Day on November 16, let’s take a look at how far GPS has come—and how far it could go from where we are now.
GPS is accurate enough for most of us when it’s being used on our smartphones or in our cars. This is because we have human brains, and we’re able to make deductions quickly if the GPS isn’t 100% precise. Robots, however, don’t have that ability yet—and neither do we, if we’re not relying on normal vision or reality. New GPS technology from the University of Texas uses software that can pick up precise GPS signals that are accurate ...Read More on Datafloq
Retail Results: Six Case Studies of Big Data Success
Thinking about using big data to help your company grow? It’s a good move—you can improve your ROI (return on investment) in several ways by leveraging the information you’ll gain with big data. However, getting a big data infrastructure set up can be costly and time consuming. Most retailers want evidence that they’ll benefit from this investment by looking to others who have succeeded. The good news? You don’t have to look far to find retailers who have made big money from big data. Here are just a few case studies of large companies showing how powerful predictive analytics can be for business growth and trimming unnecessary spending.
Social media feedback is important for any business. A large corporation like Staples gets a massive amount of incoming data from different social sources, which can make it difficult to sort the relevant messages from the irrelevant. Enter big data. The company used Dell’s technology to implement a big data solution for social media, which cut irrelevant data down by 75%. Because they were focusing on the messages that mattered, Staples was able to improve customer communication and evaluate marketing campaigns quickly, saving money on projects that weren’t worth the investment.
For ...Read More on Datafloq
How Startups Can Build a Big Data Infrastructure
It’s not a big surprise that big data can be very profitable when used correctly. Companies Teles Properties have successfully used big data to determine the potential of real estate properties, resulting in the firm selling homes for higher prices (and more quickly) than their competitors. Uber, the hugely popular ride-sharing service, uses data as both a tool and a commodity, selling the travel patterns they collect from drivers and using them to implement “surge” pricing for busy times of the day. Behind these data-driven businesses are a strong infrastructure and talented analysts who can identify trends and suggest changes based on those trends.
Want to gain valuable insights that will help you stay relevant as you grow your startup? Of course, you do—and to get these insights, you’ll need to leverage big data. Almost every industry is using data analysis to predict trends and make business decisions, and startups are no exception. The problem? Most startups don’t have the knowledge to set up a simple big data infrastructure, which can limit their potential. Simple big data may sound like an oxymoron, but setting up your big data infrastructure doesn’t have to be complicated. Ready to get started? Here are some ...Read More on Datafloq
4 Ways Big Data is Making Business More Efficient
Big data and analytics are changing the way the world works. They are changing the business landscape, revolutionizing how services are delivered, information is gathered, and marketing is done.
A few decades ago, a sample size of a thousand or two thousand people may already be a high target. Market research takes a lot of research after all. Two thousand responses may take several weeks or even a couple of months to be tabulated, summarized and finally presented to management. From the findings, the business' marketing team would draw up a strategy, design products, and pattern their approach based on the results.
This method will no longer work today in the advent of Big data analytics. Every day, around 2.5 quintillion bytes are created and shared over the internet. This staggering amount of information will make the 2,000 responses negligible but oftentimes, left unobserved and unanalyzed. Information comes from both external and internal sources and will have a practical use for businesses and governments alike. Big data comes from content produced in social media, audio and video posts, transaction data, log posts, and email exchanges. But how should businesses take advantage of it?
Big data organizes a large amount of information so that ...Read More on Datafloq
The Benefits of Becoming a Smart City – Infographic
The age of big data and Internet of Things (IoT) is already underway, thanks to advances in technology and a proliferation of Internet-connected devices. These technologies have made it possible for governments and relevant local authorities to develop and roll out Smart City systems related to transport, water distribution, crime prevention, and traffic control. Here is more information on this topic:
A smart city is any urban center that leverages the power of IT to improve quality of life experienced by residents, enhance economic development, as well as manage and use natural resources in an efficient manner. According to data published by the New Jersey Institute of Technology (NJIT), the smart city technology industry will generate revenues of more than $27.5 billion by 2023. In addition, 88 cities worldwide will have adopted smart city technologies by 2025.
Why Smart Cities Matter
Smart cities are becoming necessary because much of the world's growing population is moving to urban centers. Currently, the world is home to 7.1 billion people. By 2025, this figure will grow to 8 billion. Fast forward to 2050, the number of elderly people will have ballooned to more than 2 billion from the current figure of 841 million.
In the US, urban ...Read More on Datafloq