Tag Archives: AI

Humanity is Not Replaceable by Artificial Intelligence, but Might Improve It

This morning I was attempting to commute to work on the broken-down public metro with hundreds of other people, but I found a silver lining in the situation and used the train’s Wi-Fi to get some work done. Unfortunately, I couldn’t find several documents that I needed for a project and lost valuable hours of productivity.

However, solutions to both of the major issues that affected my morning’s efficiency can be found in artificial intelligence (AI).

Earlier this month, Elon Musk, CEO of Tesla, warned attendees at the National Governors Association that AI could be the end of humanity and result in an existential crisis for humans.

“AI is a fundamental existential risk for human civilization, and I don’t think people fully appreciate that,” Musk said.

I find it disheartening that a man known for his innovation would have such a cynical view on this technology. I disagree with the premise painted by  that AI and humans are somehow meant to be pitted against each other.

Simply put, AI cannot exist, function or evolve without humans. Humans can, however, exist, function and evolve without AI. The great thing is, that with artificial intelligence, we can do those three things better.

The definition of artificial intelligence, according to Britannica, is “The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”

Consider my situation this morning. FogHorn Systems has a platform that can track, assess and send data from Industrial Internet of Things environments in real-time using AI, which can ultimately help industries, like the metro, detect issues in the system before they happen and let employees know so that they can isolate and solve the problem  before a breakdown occurs. This can keep schedules intact, productivity uninterrupted and customers happy.

Meanwhile, M-Files Corporation focuses on intelligent information management of enterprise data and documents. Their platform utilizes AI to help find important business documents instantly based upon the document’s metadata — topic, relevant teams, type of document, location, etc. This saves employees from wasting valuable working hours searching for documents and information, giving them more time to innovate and produce high-quality work.

AI has the potential to aid humans in eliminating extra steps, addressing speed bumps, and coping with the tedious work that keeps them from living and working their most productive lives. With AI helping us to address avoidable setbacks, humans are free to stay focused and remain creative in their lines of work and their daily lives. The hope is that AI provides faster and more efficient solutions, which in turn allows humans to have more time to do things that keep them in touch with their humanity — spending time with friends and family, pursuing activities that focus on their passions, and maybe even pursuing further education.

AI can’t take anything from us unless we let it, but we can be sure to utilize its enormous potential to give us incredible advancements that lead to personal and professional growth.

By Whitney Urmann

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Big Data Horizons- AI, IoT Saves Lives

The Amazing Ways Coca Cola Uses AI And Big Data To Drive Success

“One of the first firms outside of IT to speak about Big Data and AI applications”

Coca-Cola has been a big player in the big-data space in recent years, and have shown many times their practical use of big data as a form to improve products. In 2012  chief big data officer, Esat Sezer, said “Social media, mobile applications, cloud computing and e-commerce are combining to give companies like Coca-Cola an unprecedented toolset to change the way they approach IT. Behind all this, big data gives you the intelligence to cap it all off.”

More recently, Greg Chambers, global director of digital innovation, has said “AI is the foundation for everything we do. We create intelligent experiences. AI is the kernel that powers that experience.”

More and more companies every day are adopting data analytics technologies and applying them to their marketing to optimize their products and create new ones, much like the case of Coca-Cola.

Disaster Response In The 21st Century: Big Data And IoT Save Lives

“Technology improves authorities ability to predict, prevent disasters”

Leveraging Big Data to predict, prepare, and prevent

Even before Harvey made landfall, organizations such as NASA, NOAA, and municipalities were using sensor data, surveillance and satellite imagery to predict not just where the storm was likely to impact, but also coordinate with first responders and law enforcement. This allowed them to identify staging locations, evacuation routes, likely flooding areas, etc., and to be prepared for the worst. Data collected from sensors and meters located throughout the region were mined and machine learning algorithms applied, in order to predict patterns and outcomes.

For example, clustering algorithms helped to determine the probability of where flooding would occur, and allowed agencies to devise a set of recommendations for evacuation routes, resource staging, and the identification of locations for shelters along these routes. The more data collected from past incidents, the more insight these agencies are forecast future behavior, using operations such as regression algorithms. This gives officials more detailed insight into potential problems before they happen, so they can allocate resources in a timely, data-driven manner. There is no doubt data mining played a critical role in the effectiveness of first responders which, in turn, led to a reduction in the loss of lives.

IoT sensors provide a huge potential platform for those that want to collect data. IoT is a fast growing market and with the right technology applied, it could provide extremely significant use cases. Not only is the data collected from these sensors helping preparations for hurricane Harvey as explained in this article, but they also have the ability to help with the aftermath. Smart IoT sensors applied across cities on their networks can alert them when certain areas are dealing with black-outs. During natural disasters like this one, some utility providers may be able to address affected areas with greater speed since they’ll be automatically notified on the statuses of effected areas.

Apple’s FaceID: Get ready for ‘big data’ to get even bigger

“Big Data cemented as trending up”

It’s not just Apple utilizing the benefits of biometric and behavioral authentication. Organizations are realizing the treasure trove of contextual insights and valuable information about customers that are available through sensor-based, ground-breaking technology.

Organizations use big data analytics to monitor the behavior of a consumer, or potential consumer. Insurance agencies can benefit from such data to assess everything from driving behavior or home settings to reduce in-home risks, to health risks based on daily habits and routines to detect anomalies. Healthcare organizations can perform remote monitoring, while the automotive industry can profile drivers via connected cars and autonomous vehicles. Even apps like Maps, Camera, Weather and Uber use location services to cater to users based on their location. Big data is getting bigger, but that’s not necessarily a bad thing.

Transparency will be key going forward. As people often don’t fully read through privacy statements because of their length and complexity, government mandates, such as the EU’s pending General Data Protection Regulation are beginning to require organizations to present privacy statements in a “clear, transparent, intelligible and easily accessible form — using clear and plain language.”

In this article, Dutt speaks on how organizations can gain valuable insights from Apple’s new FaceID sensor. He touches on one of the most talked about issues engulfing the world of big data today, privacy. Dutt explains that if Apple does intend to collect data using the facial recognition software, they should be as transparent as possible, using easy to understand clear language to avoid any issues regarding data protections. Although the data collected from this could bring incredible insights, it would be safe for Apple to proceed with the caution and transparency.

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Big Data Horizons- DataBricks, Diagnosing Mental Illness

Big data analytics platform Databricks raises $140M Series D round

“Led by Anderseen Horowitz”

Databricks, a big data analytics platform built by a team that grew out of the Apache Spark project, today announced that it has raised a $140 million Series D round led by Andreessen Horowitz, with participation from New Enterprise Associates and Battery Ventures. This brings Databricks’ total funding raised to date to $247 million, which includes a $60 million round the company announced only last December.

The funding to invest in its product aims to bring data science to more users inside basically any business and to accelerate its growth strategies with their analytics. This includes a focus on core industries like healthcare, financial services, government and media entertainment. The company also plans to grow its engineering and customer success teams.

DataBricks commented further on the funding, stating: “AI has enormous promise but also a 1% problem,” Ali Ghodsi noted in today’s announcement.”Less than 10 companies in the world are achieving the full potential of AI and the rest are really struggling. Databricks’ mission is to simplify AI and bring it to the other 99% of enterprise organizations. This funding will enable us to expand our offering and bring it to many more markets, enabling more businesses to reap the benefits of Big Data and AI.”

Quartet, Sutter Health use big data to get patients the mental healthcare they need

“Tapping into big data to identify people within a with undiagnosed mental health conditions.”

“This very archaic way of viewing separation between physical and mental health, the body and the mind, serves no one well,” John Boyd, the system executive for mental health at Sutter, recently told MobiHealthNews. He elaborates: “…The average person, it can take them anywhere up to and beyond 7, 8 years before they realize they have a mental health challenge, before they seek help.”

Quartet normally uses claims data for its analyses. But working with a health system allows them to wrap EHR data into the mix too, a prospect Chief Data Scientist Dr. David Wennberg is excited to tackle.

“The business proposition is there’s a quality value proposition because if patrons have anxiety and depression they tend to be poor at navigating the healthcare system, so they can end up in the ER or the hospital because they don’t understand all parts of their care,” Wennberg, Quartet’s chief data scientist, told MobiHealthNews. “The goal here is short-term goal-directed therapy for people where they can work with behavioral health providers with an orientation toward functional status.”

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Security Never Sleeps- AI, Navy Vulnerability

How to Hack a Robot

“Forget the Sci-Fi killer AI, there’s a very real threat”

While many of us think of AI dangers as the terminator-style, world destroying super bots, researchers have come up with a very different idea on what could constitute the greater dangers of autonomous robots. Collaborative robots, dubbed ‘cobots’, have now been provably hacked and very dangerous. Dozens of global AI vendor executives have been lobbying the United Nations to take measures to ban ‘lethal autonomous weapons’, also known as killer robots.

Tuesday: Spammers’ Favorite Day of the Week

“Get in the know to protect yourself”

Take a look at your work schedule, then get into the mind of the spammer. When would you be most likely to fall victim to it? Researchers at IBM X-Force Kassal looking into spam honeypot monitoring has done a six month dig into into spam trends, and had some interesting finds. Over 83% of spam is sent on weekdays, common workdays for most people who use email often for work. Specifically, Tuesday, Wednesday, and Thursday have the highest levels of activity. The research team had access to billions of unsolicited emails sent per year, and provides a good outline on what behaviors and trends to avoid to skip the harms that often come from spam email.

The 5 cyber attacks you’re most likely to face

“Perception of threats critical to prevention”

Cyber security consultants often notice that the perceptive nature of the defensive systems firms and other organizations implement. Many times the threats that these institutions believe they will face are far different than what they are actually likely to create the greatest risk of breach or data theft for them.

Check out the full article for more insights into the risk of different threats and how firms deal with them.

Analysis: there is both Means and Motive for Cyber Attacks on Navy Vessels

“Could cyber attacks play a larger role on ships in the future?”

It seems that cyber defenses are becoming increasingly more important to United States Navy ships. A recent collision demonstrates the necessity of upgraded systems. A collision between a Liberian oil tanker Alnic NC and the USS John McCain over the weekend is the fourth collision involving a vessel in the U.S. Navy’s 7th Fleet since January. This is a tragedy that, according to published reports, resulted in extensive damage to the ship and left five sailors injured and 10 unaccounted for.

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Big Data Horizons- MoviePass, Top 4 Data Skills

MoviePass Is Trying to Disrupt Hollywood — Will It Succeed?

“Will revolutionize the way we go to movies”

With a fleeting business model and a growing loss of revenue, MoviePass is looking to revamp consumer interest in theater viewing. The idea is predicated on the Netflix model, which allows users to stream unlimited media on a subscription basis as opposed to per title. MoviePass similarly operates by allowing users to buy a subscription program, hoping to provide a more frequent and consistent movie viewing audience. The firm is expected to make an IPO in early 2018, and showcases another application of big data in entertainment.

Top 4 Big Data Skills for Engineers

“The Big 4 demanded by consumers and employers”

Administer

The physical infrastructure forms the backbone of a Big Data implementation. This infrastructure needs careful planning and configuration to withstand data storage and processing demands. DevOps for Big Data is a key admin skill and often requires knowledge of cloud architectures as Big Data processing is extremely well-suited for the elastic and highly available nature of the cloud.

Develop

These are the skills that have proven essential for building data pipelines and frameworks that ultimately provide data for the data scientists to analyze. Data pipelines are responsible for ingesting data from a variety of sources, including real-time and batch. Hadoop and Spark are the most popular Big Data frameworks used across organizations. While Hadoop is the popular choice to store Big Data, Spark has stepped in to provide a lightning fast framework to process data.

Analyze

This encompasses a mix of expertise in statistics, machine learning, data mining, operations research, mathematics, and computer programming. Data scientists, data analysts, machine learning engineers, and artificial intelligence engineers are required to dive into petabytes of messy data, build algorithms, and then write robust code to automate the algorithms and prove their performance on large-scale live data. In addition to familiarity with the Hadoop ecosystem, this role also demands experience with programming languages like R, Java, Scala, and Python.

Visualize

Visualization developers tell a story using the data collected and design dashboard visualizations tailored to customer needs. These people serve as a technical resource for accessing disparate sources of data and integrating these sources into a common and interactive platform that effectively displays how the company’s data meets their Key Performance Indicators (KPI).

Lenovo drives big data take up in car making industry

“Partnership to promote AI in auto industry”

Announced last Wednesday, Lenovo is set to examine Haima’s sales data to bring solutions in targeting potential customers.  The collaboration will eventually encompass more areas of development, in areas such as car design, development, and smart manufacturing. This deal is one of many since Lenovo has started to provide solutions to clients in 2016. Various industries including metallurgy and medicine have benefited from Lenovo’s big data arm.

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Three Interesting Use Cases of AI That Will Have You Believing We Are In The Future

It’s official, we are beginning to witness the early stages of the inevitable Artificial Intelligence boom, which is slated to revolutionize multiple products and services across all industries. AI isn’t a new concept, but up until recently we lacked the resources and technology to utilize it effectively. With our growing collection of Big Data along with technological standards being pushed further each year, AI is becoming a lot smarter, and we are seeing it reach limits we only dreamed about in science fiction. Today we will examine three interesting use cases of AI that will have you believing we are living in the future.

The Health Care Kiosk

The NBA Summer League has stepped up its game up with the addition of the Connexion kiosks from Fusionetics and Aspire Ventures.

Stepping into the Connexion kiosk is unlike anything you have experienced before. The kiosks are filled with IoT Sensors, cameras, and other technologies that are able to collect data on a vast number of health-related things creating a 4D picture of the user’s health. By collecting data, the kiosks can process the information taken in by the sensors and provide unique recommendations for the user through the use of powerful AI technology.

For the NBA Summer League, Aspire Ventures Chief of Products Mike Monteiro says “let’s say their arms move out as they squat or their arms fall forward as they squat—they have a system that can translate that into an understanding of what imbalances or weaknesses they have in their body and then, based on that, they build a personalized training program specifically designed to help you accommodate for those weaknesses and address those imbalances.”

In short, the Connexion Kiosk AI can be used to show athletes where their weaknesses are, and provide unique and custom recommendations for each person.

Monteiro continued to describe the future of the Connexion Kiosk which he believes will be able to possess non-invasive biometric sensors to track hydration levels, respiratory levels, and even electrolyte levels.

An AI machine like Connexion has the potential to revolutionize the sports industry, giving teams a competitive advantage by streamlining operations, and helping trainers select athletes, prevent future injuries, and maximize performance potential.

The AI Cyber Battle of 2017

Humans aren’t the only ones boxing each other anymore. Earlier this year, security researchers hosted and participated in the Darpa Cyber Grand Challenge, which pitted several AI bots against each other.

This battle worked by having the bots play offense and defense, trying to stop cyber-attacks from other bots while also fighting back. Basically, the bots would repair their security flaws and try to stop the hacking, while also attacking the other bots at the same time. The last bot standing would be declared the victor.

However, the point of this conference wasn’t just to watch these security bots fight each other and name a champion. The conference was a chance for researchers to help gather more information and insights as to how they can improve their own AI security systems. In the words of well-known hacker Mike Walker, “A Grand Challenge is about starting technology revolutions.”

By understanding how their bot’s security measures were exploited, engineers could get back to the drawing board to create new defensive coding, strengthening the AI for later and actual cyber-attacks.

Recipes from Chef AI

It’s after work, you’re scrolling through Instagram, and you see a beautiful image of a dish unknown to you. You check the description to see if any  information on the dish is listed: name, ingredients, recipe; but there’s nothing besides some useless hashtags.

Pic2Recipe! is planning to help you with the use of AI. The website, created by MIT student Nick Hynes, allows users to upload images of food and receive information on the dish. This is done through AI that can understand the uploaded food photo, and provide users with all information on the dish. From the name of the dish to popular recipes, Pic2Recipe is planning on getting you into a chef’s hat to cook up a new meal.

As of right now, Pic2Recipe! is a developing product which still has its struggles identifying some dishes, like smoothies and other blended products. However, with continued growth, it looks to be an extremely popular web application.

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Big Data Horizons- Crypto Crowdfund, Auto Applications

Toyota, Intel and others form big data group for automotive tech

“Tackling concerns of connected cars in the future”

Several high profile firms such as Toyota, Intel, and more are collaborating to bring some of the greatest big data automotive theories into reality. Critical components like real-time mapping, driving assistance and muchmore are all core focuses of the group, with the intention of making these huge volumes of data in tangible, reliable, and secure.

The group issued this statement regarding their mission; “It is estimated that the data volume between vehicles and the cloud will reach 10 exabytes per month around 2025, approximately 10,000 times larger than the present volume. This expected increase will trigger the need for new architectures of network and computing infrastructure to support distributed resources and topology-aware storage capacity.”

Lampix’s Big Data ‘Crypto’ Crowdfund Scores Over $4M, Sets $60M …

U.S. based fintech firm Lampix is building a Blockchain ‘image mining’ network for AR and other computer vision systems. The company raised 11,111 ethereum, a bit over $3m from investors in three minutes during a ‘pre-sale’ crowdsale token launch (CTL) of their PIX token this week, together with partner company ICO.info.

Nvidia CEO Huang: Big Data, Self-Driven Cars, Gaming the ‘Big Vectors’

“It’s not every day you have your record, ever, quarter, and also guide to another record, ever, quarter.” -Huang

Jen Hsun Huang recently spoke with a reporter from Barron’s commenting on the next avenues and applications of big data. According to him, there are three “big vectors” that are showing up: Big Data, A.I., and gaming.

The big vectors are, on the future of computing, about big data, and data-intensive computing, and our work in GPU computing has proven to be the ideal platform, and we are seeing adoption all around the world. Second, the next revolution is AI at the edge, and the most visible example is autonomous vehicles. Especially level 3 through 5 of autonomous driving. And the third, video games, are the largest form of entertainment in the world, and the two fastest-growing platforms in gaming are GeForce [Nvidia’s gaming GPU brand] and Switch [Nintendo’s Switch portable gaming console, which runs on Nvidia GPUs].

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Big Data Horizons- Self Driving Cars, Rare Earth Mining

How BMW Uses Artificial Intelligence And Big Data To Design And Build Cars Of Tomorrow

“Car quality advanced by high tech processes”

AI and other data-driven predictive analysis technologies are helping BMW realize the cars of the future. The company is certain new technological advances will allow vehicles to pilot themselves soon, claiming that the current target for the firms ‘level 5’ autonomy cars (i.e., fully self-driving)should be marketable by 2021. For a manufacturing powerhouse such as BMW, this is quite an ambitious undertaking. BMW is certain that firms like Teradata will use modern technologies that will ensure the greatest efficiency in logistics and data flow while also performing at peak speed.

Scientists turn to big data in hunt for minerals, oil and gas

“Techniques from online retailers coming to rare mineral production”

A study released on Tuesday from the American Mineralogist has shown that rare earth miners are absorbing big data analytics to apply to exploration data. So far the techniques have already helped to discover 10 carbon-bearing minerals. The report elaborated on the big data inclusion in exploration practices; “Big data points to new minerals, new deposits.”

Big Data Gives Businesses the Nose for Smelling What’s Selling

“Big Data is turning into Big Business”

Largescale retailers like Sainsbury have huge swathes of its market share, and it uses big data analytics from billions of transactions to differentiate itself and help in compete in a increasingly competitive market. Andrew Day, CDO of DACE, is at the heart of the plan to help the firm use big data insights to improve customer satisfaction, increase revenues and much more.

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Inside the Newsroom: Media Talk Tech with VentureBeat, Wired and Fast Company

Organized by PRSA

On July 26, a handful of 10Fold crew members joined the Silicon Valley and San Francisco Chapters of the Public Relations Society of America (PRSA) for the “Inside the Newsroom: Media Talk Tech” panel event with Fast Company, Wired, and VentureBeat.

Panelists included:

 Jason Wilson, Managing Editor, VentureBeat

 David Pierce, Senior Staff Writer, WIRED

 Sean Captain, Tech Editor, Fast Company

Below is a collection of insights, trends, and other interesting thoughts by 10Fold’s own Drew Smith, Jordan Tewell, Webbo Chen, Katrina Cameron and Kyra Tillmans following the event.

Artificial Intelligence, Digital Transformation, Virtual Reality…What’s Next?

These buzzwords are top-of-mind in today’s technology landscape, and it was no surprise that the first panel question regarded these hot topics. When Jason Wilson of VentureBeat called for a show of hands on how many audience members regularly used voice assistance, the number of hands was noticeably few. Despite all the buzz surrounding AI (i.e. in voice assistants, like Siri or Amazon Alexa) there is still a long way to go. The panelists noted that, for example, voice assistance users tend to use those features for only the things they know work well, showcasing the disparity between where the day-to-day benefits of AI voice assistance currently stand and where they could/should be.

Another salient point that David made was the different growth trajectories of augmented reality versus virtual reality. AR will improve quickly, he noted, while VR is more likely to just chug along. This might come as a surprise, as VR is typically viewed as the more “futuristic” innovation.

Trends of the Media-scape

The panelists agreed the intersection of technology and politics is a big trend on everyone’s mind. It was much easier to separate the two in the past, but now reporters who cover cyber security are often times writing about national security too. The intersection of technology and politics matter now more than ever, and we should address this when talking strategy internally and with our clients.

David made an interesting comment about video journalism. At Conde Nast (parent company of Wired), they want to ensure that video isn’t treated as a bolt-on, and they’ve started to consider video as one of the primary channels when they’re determining what goes where during their editorial meetings. Instead of slapping on video at the end of everything, reporters are putting significant thought into which platform is best – i.e. a 2,000-word feature, a photo essay, or maybe even a Snapchat video. It raises the question for PR pros to determine which avenue is best to take for which story and set expectations accordingly. Not everything will be a full-length feature story these days.

Via the Twitter hashtag #MediaTechTalk, attendees posed a question about non-Silicon Valley tech hotbeds. The panel agreed on Pittsburgh as a favorite, which wasn’t wholly surprising, because the Pennsylvania, Massachusetts and Tri-State region is becoming widely known as an area of innovation. However, Fargo came as a surprise. And David made a good point of thinking about the world outside of the U.S., because all too often we have proximity bias – especially when you’re based in Silicon Valley like we are!

Tips by the Media for the Media

Sean from Fast Company continually reiterated the importance of clicks/views in judging how successful an article was. He and his editors clearly pay a lot of attention to this in a rapidly changing media landscape. Ultimately, what readers think is most important for both reporters and PR folks alike. Reporters approach stories they’re pitched by gauging whether their readers will care in order to gain as many eyeballs as possible. In tech PR, companies like to focus on news developments and its impact on the broader landscape rather than the personalities behind the tech. Instead of product launch stories, technology reporters are interested to learn about the human side of the story. As an example, David brought up a feature story on employees who were affected by Dropbox dropping AWS. The topic was very dry, and David didn’t expect it to do as well as it did. Yet, by adding in the human element, the story became one of his most popular reads to date.

As PR professionals, we can help orchestrate these stories by doing background interviews with our clients to develop a narrative that will resonate well with readers. Who is the main character in the story? It’s important to remember that if you have interesting execs, you should flesh out their bios/background and occasionally lead with that when approaching media.

As a final takeaway, all the panelists mentioned that they’d love to have more conversations with both PR folks’ clients – and the PR people themselves – that have no agenda whatsoever. Not many PR people would propose a “no agenda briefing” to a journalist – if only because that’s not likely to hook the journalist – but I’d be interested to see the results from the brave PR pro who does this.

Journalists and PR professionals agree that the media landscape is changing actively and dramatically. Events like the Media Tech Talks are a great way to engage with the media, understand their thinking and likewise share your own. A big “thank you” to PRSA for putting it together! 10Fold is looking forward to the next one.

By Kyra Tillmans

(Contributions from Drew Smith, Jordan Tewell, Webbo Chen, and Katrina Cameron)

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Technology Insights: Growth in Commercial Drones (Infographic)

According to Goldman Sachs, the emerging global market for businesses using drones is expected to top $100 billion by 2020. Of the $100 billion, most is still driven by government, but the relatively new commercial/civil sector is estimated to own $13 billion.

The passing of the FAA’s Part 107 rule in mid-2016, which introduced safety regulations designed to minimize risks to other aircraft and people and property on the ground, led to booming commercial interest, and this year the drone ecosystem is expected to keep up the cadence.

Additional Commercial Industries on the Rise

In addition to the sectors noted above, the following industries are expected to grow their usage of drones over the next three years: Oil/Gas, Public Safety, Journalism, Customers/Border Protection, Real Estate, Utilities, Pipelines, Mining, Clean Energy and Cinematography. For the full list, read Goldman Sachs’ industry report “Drones – Reporting for Work.”

Interesting Use Cases

Using DroneDeploy and Dronifi technology, a coffee grower assessed the spread of an invasive vine 85% faster than if they had gathered Normalized Difference Vegetation Index (NDVI) imagery from a manned aircraft.

Researchers at the King Abdullah University of Science and Technology are developing a drone monitoring system that tracks floods in real time and can sound the alarm before a flash flood hits.

A Dutch engineer has created a flying defibrillator for emergency situations using drone technology.

By Kyra Tillmans (Text and Infographic)

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