How IoT May Help to Feed the World.

How IoT May Help to Feed the World.

Mobile Satellite Company Inmarsat has determined that over half of all respondents in the agriculture or farming sector are interested in taking a closer look at the power that IoT can offer in farming. Most are actively interested in embracing that power and state that they will spend significantly more over the course of the next five years to make that happen.

In a study called The Future of IoT in Enterprise-2017, responses from 100 of the largest agritech companies in the world showed that more than 60 percent of companies that were surveyed had already deployed some measure of IoT solutions and planned on taking advantage of it even more in the coming 5 years.

This is far and away above the use of other companies and their adoption of the IoT technology. Companies that are typically seen as more forward thinking than farming such as Transport, Energy, and Mining are well behind the 62% of agriculture businesses who have engaged in IoT. In addition, 27% more of the surveyed agriculture companies say they will be heavily invested in the next six months.

According to Ayan Jobse-Alkemade of Inmarsat Enterprise’s Agriculture Sector, said: “With the planet estimated to reach a population of 10 billion people by 2050, humanity will face challenges with sustainable water sources, food production, and the best use of land to get the maximum yield from crops. Additionally, using the most efficient method to deliver the resources will increasingly feature on the global agenda.”

Farmers are going to have to produce foods more rapidly and more intelligently. The Agri-tech sector can help them to do that.

Can Smarter Vehicles or Connected Vehicles Save Money and Save Lives?

Can Smarter Vehicles or Connected Vehicles Save Money and Save Lives?

We all know that we need insurance and we’re all aware that driving without it isn’t legal. Insurance is something we’d rather have and not need, but it can also be quite costly. It’s a requisite prior to engaging in certain activities such as driving. That said, lowering the cost is something everyone wants to do.

According to the latest statistics from the World Health Organization more than 1.25 million people die every year from traffic accidents. Traffic accidents are the leading cause of death in people aged 15-29. They also predict that by 2030, just 13 years in the future, road accidents will surpass multiple health issues and become the 7th leading cause of death for people of all ages.

There are a few things that you can do to lower the cost of insurance as well as—as it turns out—probably keep you a little safer.

The most basic way to ensure that you lower your insurance costs and stay a little safer is to install a dash cam or a black box. That will keep track of everything that happens and it will help your insurance company to determine who is at fault. It comes as no surprise to find that those who have a dash cam typically drive much more carefully because the dash cam is recording the activity. That means that the IoT device you elected to use will also keep you safer.

Share the data with your company. Allowing the data that you have to be uploaded and shared is another way to go that will help with insurance costs according to Datum “We have been advocating data sharing. Given the sheer number of benefits that you can get when you participate in a truly decentralized marketplace for data. One such benefit is – you guessed it – lower insurance premium payments.”

While most black boxes today, OBD scanners and dashcams are not connected these days many can be and networking is becoming more common every day. Once insurance companies have more data about your driving they can optimize your payments and help you to save money and stay safer. Whether you are of the school that likes IoT or is nervous of it, saving money is an IoT bonus we can all get behind.

The State of IoT Devices One Year After DDoS Attacks

Just a year ago today something amazing happened. IoT devices from around the world were used to create the most concise DDoS attack that the United States had ever seen. The attacks  affected sites like Reddit, Spotify, Paypal, Amazon and many others.

 

Stephen Cobb, in an analysis of the event stated that “We have been shown just how vulnerable the internet – which is now an integral part of the critical infrastructure of the US and many other countries – is to disruptive abuse conducted at scale, by persons whose identity is not immediately ascertainable.”

 

It’s a year later. What did we learn and how have we grown since that? The world market is completely dependent upon online events and online transactions. That means it is imperative that we stop attacks and prevent further issues.

 

What Exactly Happened?

 

Anything that can connect to the internet is risky. The attacks of last year  ( October 21) were made possible by millions of internet connected devices that were simply not well used . These attacks were made possible by people who had no real idea how to use their devices or more importantly, how to secure them. Surveillance cameras, home security,  home routers and many other things were used in order to shut down or deny services to sites. The attackers infected many thousands of IoT devices. Using malicious code these devices were formed into a giant botnet and that botnet swamped the servers of the  affected sites.

 

How Could That Happen?

 

Remember in the directions where it tells you to change that default password. It may come as a huge surprise to find that most people don’t. It may also come as a big shock that most people  still don’t a year later and there are no more warnings on packaging than there were prior to the massive DDos a year ago.   What have we taken away from one of the largest attacks on computer systems?  It looks like very little, to be honest.

 

How Can We Defend Against These Attacks?

 

We’ve known that IoT devices could be used for attacks since the beginning of IoT.  Companies advise people to change the passwords. Most don’t. Hackers and malware developers know the default passwords to many of these machines and log into them, using them for their own purposes. You can tell people to change the passwords on their IoT devices, but there isn’t any real way to make them do so.

 

So, a year later, how can we stop this? Realistically, the same way we could always have stopped it. We take better care of our networks, make sure that our passwords are changed periodically and that we don’t share them if we can avoid it.

 

This type of attack is relatively new so there really isn’t a best practice methodology to prevent it, but there are ways to regulate control of your own home or business network.  If you’re in business, make sure that you have a DDoS defense plan and keep it up to date. Practice it regularly, just like a fire drill.

 

There are multiple ways to defend against DDoS attacks. While someone may breach your site at least make it as difficult for them as possible by using every device and resource that you have at your disposal. You may just make it difficult enough that it’s not worth the trouble and they will move on.

Is IoT the Death of the Higher Paying Job?

IoT is going to kill jobs.  There’s no way around it and there is no fix for some of it. IoT is going to change the way that we are going to go business and many jobs are simply going to evaporate because of the things that IoT can offer us.

Sound like a sweeping  gloom and doom statement? Really think about it. There’s no doubt that the Internet of Things and AI are going to be one of the biggest challenges in the future.

Just the onset of self-driving cars and trucks brings  the capacity to put millions of people out of work permanently.

The manufacturing sector is reeling. Decades of lower purchasing, higher pricing, poor job growth have nearly killed the beast and as if that were not enough, along comes the IoT with the ability to take over and do many manufacturing jobs better than people can.

Computers are learning to do jobs that require thought and that means that all of the sudden we have many hundreds of thousands of people who simply are not worth a lot in the workforce.

According to Venture investor William Davidow and Harvard review tech writer Michael Malone“We will soon be looking at hordes of citizens of zero economic value.” They continue“Figuring out how to deal with the impacts of this development will be the greatest challenge facing free market economies in this century.”

The duo of cognitive computing and IoT are poised to threaten more than just lower or mid sector jobs, they will, when used together, threaten even some of the most prestigious and upscale jobs because computers will be doing the jobs requiring thought as well as the jobs requiring mechanical skills.

How can we future proof our jobs  with the steady march of AI, IoT and cognitive computing? What’s next for us?

Our next segment examines some of the jobs that will be lost as well as the new opportunities  and newly made jobs that will inevitably crop up in the wake of job loss from AI or/or IoT. The third  article in the series explores how to future proof your job in an IoT era.

How You can Future Proof Your Job

The IoT is one of those amazing bits of technology that will give us a remarkable edge. It will also cut both ways. It is automating many jobs and making them much easier to do and offering very lucrative jobs for those who are in possession of the right skill set.

Still, its unavoidable that IoT is going to kill many jobs. In manufacturing alone the IoT is going to eliminate millions of jobs as they are replaced by what machines can do.

Add to that the fact that IoT and cognitive computing combined are going to threaten many top level and very prestigious positions as our advancing computers learn how to do jobs that require thought as opposed to just mechanical tasks.

Make AI and IoT Work Harder to Your Benefit. The intelligent employee is going to try to find the best way to leverage the changes in AI and the rapidly growing power of IoT.   Thomas Davenport, professor at Babson College recommends that  employees who are concerned about losing their jobs look for ways to use the power of AI and IoT as opposed to allowing it to automate jobs alone.

Tap Into Crowd Power . According to Tripp Braden who recruits for Strategic Performance Partner ” “Most businesses are built on the idea of an ideal worker being like an eagle, strong, self-motivated, and independent worker.”  The typical model is becoming a lot more team powered and companies and individuals need to take advantage of that  in order to  future proof their jobs.

Tamara McCleary agreed with that assessment. “As we head into a new age, we are disrupting the notion of one job being completely distinct from another. IoT is also leading to shifts in collaboration between fields,”  McCleary continued to state that . “It is breaking down barriers between different fields such as big data, security, energy and utilities, smart buildings, and industrial manufacturing. And for many companies, IoT is enabling a transition from product to services. This shift demands more skill versatility from workers.”

Be an Expert in Your Field and Constantly Learn. Its not enough to become an expert, but you must also learn consistently and continue to grow in your chosen career field. If some area of that field is being automated, becoming an expert in the automation and how it can benefit your company is going to future proof your job and keep you ahead of the game.

Build Your Own Brand. Become what is known as a thought leader in your area. Even if you don’t know all that there is to know about Iot or AI, get great professional head shots. Build your brand on LinkedIn and also on social media such as Facebook and Twitter. If you’re visible only on LinkedIn,  with  just 184 million users and you are conspicuously absent on Facebook (1.5 billion users) then you’re not doing as much as you could be to build that brand and surpass the other thought leaders in your arena.

Make Smart Choices. Whatever business you are in, make smart choices and decisions that will future proof your job.  Gather as much data as you can and use it to make better business decisions that will show you up as a leader in thought and in action.

Be Creative and Be Forward Thinking. What works today in IoT and your job isn’t going to work tomorrow. Be willing to adapt in order to overcome obstacles and problems in your job. In order to future proof your position, you’re going to have to be willing to change as rapidly and as dramatically as IoT is changing.

Blockchain and Hookers.. Who Saw That Coming?

Some of the greatest achievements of mankind owe a little something to sex. That should make the next announcement nothing new and nothing shocking. Blockchain and hookers have paired up for a match made in. . .heaven?

It’s not a huge shock, given the desire for relative anonymity that blockchain and hookers might be a comfortable pairing. The Next Web calls this the “worst named app of 2017.” SexService.Io features listings of barely clad men and women with pricing next to their name.

It does something that no other online brothel type site has ever done before. It protects the prostitute and his or her client by allowing them to hook up using blockchain technology. It is the closest thing to completely anonymous that you’re going to get. It uses no email, no user credentials of any kind and no one has any access to the data that is private, encrypted and stored on the blockchain.

It is a safer, saner and  according to the “experts” a much more secure way to get a hooker. The interactions are secure in every way and the platform uses a two step digital payment methodology to process the sexual transactions. “think of it as Coinbase for your junk.”

Proponents of prostitution say that   it is a 186 billion dollar global industry. For countries that are impoverished that’s a lot of money. Conservative estimates say that there are more than 3 million prostitutes in India alone. They are taking home about  8.4 billion dollars a year.

Prohibiting sex trades doesn’t seem to be working. Can Blockchain technology make them safer and help to clear up the issues that are rampant in the sex trade?

Every study available shows that a safer sex trade may be a better alternative than preventing the sex trades. Sex is big business and making it safer to get a hooker may be the answer to taxing the process and making a vast array of revenue for impoverished countries and areas.

While no one saw blockchain as the future of the sex trade and it’s a bit difficult not to laugh at “high tech sex” companies like SexService.io may be the wave of the future. What do you think?

IoT DDos Attacks 12 Months Later. What Did We Learn?

Just a year ago today something amazing happened. IoT devices from around the world were used to create the most concise DDoS attack that the United States had ever seen. The attacks  affected sites like Reddit, Spotify, Paypal, Amazon and many others.

Stephen Cobb, in an analysis of the event stated that “We have been shown just how vulnerable the internet – which is now an integral part of the critical infrastructure of the US and many other countries – is to disruptive abuse conducted at scale, by persons whose identity is not immediately ascertainable.”

It’s a year later. What did we learn and how have we grown since that? The world market is completely dependent upon online events and online transactions. That means it is imperative that we stop attacks and prevent further issues.

What Exactly Happened?

Anything that can connect to the internet is risky. The attacks of last year  ( October 21) were made possible by millions of internet connected devices that were simply not well used . These attacks were made possible by people who had no real idea how to use their devices or more importantly, how to secure them. Surveillance cameras, home security,  home routers and many other things were used in order to shut down or deny services to sites. The attackers infected many thousands of IoT devices. Using malicious code these devices were formed into a giant botnet and that botnet swamped the servers of the  affected sites.

How Could That Happen?

Remember in the directions where it tells you to change that default password. It may come as a huge surprise to find that most people don’t. It may also come as a big shock that most people  still don’t a year later and there are no more warnings on packaging than there were prior to the massive DDos a year ago.   What have we taken away from one of the largest attacks on computer systems?  It looks like very little, to be honest.

How Can We Defend Against These Attacks?

We’ve known that IoT devices could be used for attacks since the beginning of IoT.  Companies advise people to change the passwords. Most don’t. Hackers and malware developers know the default passwords to many of these machines and log into them, using them for their own purposes. You can tell people to change the passwords on their IoT devices, but there isn’t any real way to make them do so.

So, a year later, how can we stop this? Realistically, the same way we could always have stopped it. We take better care of our networks, make sure that our passwords are changed periodically and that we don’t share them if we can avoid it.

This type of attack is relatively new so there really isn’t a best practice methodology to prevent it, but there are ways to regulate control of your own home or business network.  If you’re in business, make sure that you have a DDoS defense plan and keep it up to date. Practice it regularly, just like a fire drill.

There are multiple ways to defend against DDoS attacks. While someone may breach your site at least make it as difficult for them as possible by using every device and resource that you have at your disposal. You may just make it difficult enough that it’s not worth the trouble and they will move on.

 

 

Predictive Maintenance and How it Helps Industry

Predictive Maintenance uses many different advanced technologies to prevent costly shutdown and costly reactive maintenance of machines. It is used in manufacturing as well as in other venues.

Predictive maintenance works by:

Lowering the time that the equipment maintenance takes

Lowering the cost of necessary parts and supplies that are required to accomplish the maintenance

Lowering the hours that are lost for maintenance by preventing reactive maintenance.

Predictive maintenance has as its goal the prediction—of course—of when a failure in equipment or mobility or anything else—may take place. Secondary to this, it aims to prevent the failure by allowing the maintenance that must be done to take place well before the equipment failure takes place. The ideal situation is that predictive maintenance keeps the frequency of maintenance work as low as possible to keep the costs as reasonable as possible. In addition, its goal is to prevent reactive maintenance but to keep costs low by maintaining an even level –and a low cost measure of preventive maintenance.

Yes, it all sounds just a bit confusing. To make a long story short, preventive maintenance is too costly. Reactive maintenance costs too much and takes too long. Predictive maintenance takes into account past failures, when they took place, why they took place and prevents them from happening without costing an arm and a leg.

How Does It Work?

Predicting a failure can take multiple forms. The methodology must be effective at the prediction of failure and it must also permit time to allow for the maintenance necessary. Some methods include the analysis of vibrations, analyzing oil, thermal imagery, and even observation of the equipment. Condition based maintenance and using the right methodology is imperative and creating a maintenance strategy is imperative as well.

This is not to say that there is no down side to predictive maintenance. In fact the main down side is the cost of the equipment that is necessary for monitoring your facility. Condition monitoring and maintenance monitoring are quite expensive and may be cost prohibitive for smaller facilities. In addition, the specialty training or experience technical personnel that are required to operate the equipment may also be difficult to find and costly to hire.

The up side is that in comparison to being shut down for preventive maintenance or to being offline for reactive maintenance, the cost of predictive maintenance may seem a very small burden.

For More Information on Predictive Maintenance : Click Here for IOT Analytics Reports.

How Much Will AI Affect Jobs in the U.S?

Automation is creating a real buzz in multiple arenas. From robotics to warehousing, automation is the order of the day. Many people believe it will also real issues by dramatically impacting our ability to make a living. With robots replacing laborers in manufacturing vehicles and artificial intelligence (AI) many people believe that the AI and IoT will begin  simply killing the job sectors.

3d rendering of human brain on technology background represent artificial intelligence and cyber space concept

Which Industries are Affected the most by Automation?

There isn’t a single industry that isn’t going to be affected in some way by automation in the coming months and years. In fact,  automation has the potential to replace factory workers, miners, travel agents and bank tellers. It can not only do the job but it can do it more safely in a way that will preserve the lives of humans.

Automated technology threatens 2.2 to 3.1 million people around the globe, who are involved in the transportation sector. In addition,  software today has the capability of assessing substantial volumes of documents, thus, eliminating most of the professionals in IT. With the advances in these software programs it doesn’t really matter what kind of occupation you have, you can be replaced.

While we do understand that automation is depriving people of their jobs, there is a brighter side to the story. People with tech skills are greatly in demand because without them an automation system cannot be installed or operated.

Is the World Going to Suffer from Mass Unemployment?

Well, studies did show  that  artificial intelligence jobs and automation would adversely impact the various working sectors the chances of mass unemployment are quite unlikely. In order to reverse the detrimental effects of automation, it is necessary for the people to have at least some sort of knowledge in the tech field. Even medical personnel and lawyers need to learn the usage of contemporary tools so that they can stay abreast of ongoing changes.

Now that we know which sectors are going to be affected  which  professions have no reason to worry?

Which Industries are not to be Affected by Automation?

Automation would not be able to kill the jobs that require interpersonal skills and empathy. Can you imagine programmed robots as psychiatrists helping you to deal with life’s complex issues? Consultants communicate and extend affection for treating and curing people. Same goes for teachers imparting knowledge. Nurses, personal trainers, makeup artists, hairdressers, are also going to be very difficult to replace using technology. These are a few places where technology will assist, but cannot replace those –in the field. If you’re looking for a career change that is future proof, there are a few to choose from. Are you interested in how Artificial intelligence and machine learning are helping the search engines to function better? Learn how Machine Learning is Changing the Face of Search Engines.

Can AI and Big Data Save the Bees

One of the most important parts of our world and one that keeps us alive are bees. They pollinate more than  seventy—yes seventy—percent of the crops that feed mankind. In addition they give us more than 30 billion dollars in crops every year in our economy. That means that if we have no bees we’re going to be a hungry country. It also means that living with no bees simply isn’t possible.

Bees are declining very quickly these days. They are under threat from many different problems, not the least of which is a virus and another problem Varroa Descructor, a parasitic problem that feeds on bees and can cause ruin to an entire colony of bees in a very short time.

Artificial Intelligence and Big Data are being brought to bear on the problem and are making headway in finding ways to save the bees. The Bee Scanning app is using the vision of a computer to help to protect the bees and to show the farmers at the first sign problems so that they can go and correct it. The Machine Learning and the object recognition is making it so that the beekeeper can see the mites on the bees and work to eradicate them more fully and more quickly.

The decline of bees must be halted but in the interim, there are drones, robo-bees as it were that are now in use to collect pollen particles and to fly into the next flower and rub the pollen off. The robo-bees are being controlled manually at the moment but the team that created them has said that they are developing autonomous bees using the power of AI.

While it isn’t the ideal solution it is A solution and one that may save both the bees and mankind in the long haul.