The "5G, Artificial Intelligence, Data Analytics, and IoT Convergence: The 5G and AIoT Market for Solutions, Applications and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This research evaluates applications and services associated with the convergence of AI and IoT (AIoT) with data analytics and emerging 5G networks. The AIoT market constitutes solutions, applications, and services involving AI in IoT systems and IoT support of various AI facilitated use cases.

This research assesses the major players, strategies, solutions, and services. It also provides forecasts for 5G and AIoT solutions, applications and services from 2020 through 2025.

Report Findings:

The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has the potential to dramatically accelerate the benefits of digital transformation for consumer, enterprise, industrial, and government market segments. The author sees the Artificial Intelligence of Things (AIoT) as transformational for both technologies as AI adds value to IoT through machine learning and decision making and IoT adds value to AI through connectivity and data exchange.

With AIoT, AI is embedded into infrastructure components, such as programs, chipsets, and edge computing, all interconnected with IoT networks. APIs are then used to extend interoperability between components at the device level, software level, and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data.

It is important to recognize that intelligence within IoT technology market is not inherent but rather must be carefully planned. AIoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices such as appliances, which may rely upon a combination of local and cloud-based intelligence.

Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nerve end-points that act like nerve endings for neural transport (detection and triggering of communications) and nerve channels that connect the overall system. The big difference is that the IoT technology market will benefit from engineering design in terms of AI and cognitive computing placement in both centralized and edge computing locations.

Taking the convergence of AI and IoT one step further, the publisher coined the term AIoT5G to refer to the convergence of AI, IoT, 5G. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

As IoT networks proliferate throughout every major industry vertical, there will be an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions. Data generated from IoT supported systems will become extremely valuable, both for internal corporate needs as well as for many customer-facing functions such as product life cycle management.

There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AIoT5G. AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Research Benefits

Key Topics Covered

1. Executive Summary

2. Introduction

3. AIoT Technology and Market

4. AIoT Applications Analysis

5. Analysis of Important AIoT Companies

6. AIoT Market Analysis and Forecasts 2020-2025

7. Conclusions and Recommendations

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2020-2025

1. Executive Summary

2. Introduction

3. Overview

4. AI Technology in Big Data and IoT

5. AI Technology Application and Use Case

6. AI Technology Impact on Vertical Market

7. AI Predictive Analytics in Vertical Industry

8. Company Analysis

9. AI in Big Data and IoT Market Analysis and Forecasts 2020-2025

Story continues

10. Conclusions and Recommendations

11. Appendix

5G Applications and Services Market by Service Provider Type, Connection Type, Deployment Type, Use Cases, 5G Service Category, Computing as a Service, and Industry Verticals 2020-2025

1. Executive Summary

2. Introduction

3. LTE and 5G Technology and Capabilities Overview

4. LTE and 5G Technology and Business Dynamics

5. Company Analysis

6. LTE and 5G Application Market Analysis and Forecasts

7. Conclusions and Recommendations

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/rigm8o

View source version on businesswire.com: https://www.businesswire.com/news/home/20200207005390/en/

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2020-2025 Worldwide 5G, Artificial Intelligence, Data Analytics, and IoT Convergence: Embedded AI Software and Systems in Support of IoT Will Surpass...

The role AI plays in your life is a matter of choice (but only to a certain extent).

It doesnt seem too long ago that artificial intelligence (AI) was mostly the stuff of science fiction. Today it seems to be everywhere: in our home appliances, in our cars, in the workplace, even on our wrists.

To some extent, our use of AI is still a matter of personal choice. But because AI is becoming increasing ubiquitous, we need to make a lot of conscious decisions.

Regardless of the choices we make, we need to stay educated on the evolution of this science. A thoughtful primer on this is Rhonda Scharfs bookAlexa Is Stealing Your Job: The Impact of Artificial Intelligence on Your Future.

My conversation with Rhonda provides some good tips what we should know and what we can do.

Rodger Dean Duncan:AI today is similar to the introduction of the desktop computer three decades ago. Many people resisted computers and got left behind. Whats the best argument for AI today?

Rhonda Scharf

Rhonda Scharf:Artificial Intelligence is not going away. When the desktop computer was introduced in the 1980s, many people felt it was a fad, and it would disappear over time.

Hazel, a woman I worked with, was willing to bet her career on it.When the company I worked at insisted we transition to desktops or leave the company, she rolled the dice and called their bluff. She lost. She believed there was no way a company could exist without tried-and-true manual systems and that computers were a big waste of time and money.

We are in precisely that situation again.

If you can write instructions for a task so that someone can follow them, then AI can replicate those actions.

Duncan:So whats the implication?

Scharf:Not only can your company exist without you performing these tasks, it will also (eventually) be more profitable (with fewer errors) because of it.

By refusing to learn about AIand by refusing to adapt and be flexibleyoure rolling the dice that AI will not take over the tasks you currently do. Call yourself Hazel, and youll soon be out of a job.

AI is alive and well in the workplace, only many people dont realize it. Being nave and refusing to acknowledge what is right under your nose is a recipe for disaster. Take a look around at how much AI we already have in our lives. Artificial Intelligence is not going away. Adapt or become unemployed.

Duncan:Most people have grown comfortable with the idea of letting machines replace humans to do monotonous, heavy, repetitive, and dangerous tasks. But the notion of having AI make decisions and predictions about the future often evokes skepticism or even fear. What do you say to people who have such concerns?

Scharf:Movies like2001: A Space Odyessyand its AI character, HAL 9000, have planted the seeds of fear and mass destruction in our minds. We are afraid of what computers can do on their own. AI learns from its experiences and will make decisions on its owncalculated, logical, and statistically accurate decisions.

What AI doesnt do is make emotional decisions. Take AI stock trading as an example. Without any emotions involved, the robo-advisers can determine the optimal price to buy and sell specific stocks. They dont get emotionally tied into one more day and potentially lose profits. AI can evaluate millions of data points and make conclusions instantly that neither humans nor computers can do. As quickly as the market changes, AI changes its course of action based on the data.

Im not about to have AI make life-or-death decisions for me. The same way we now trust machines to handle monotonous, heavy, repetitive, and dangerous tasks, I will rely on AI to do some heavy thinking and bring me logical conclusions, quickly and efficiently.

If you don't want to be left behind, you'd better get educated on AI.

Duncan:What do you tell people who have privacy concerns about AI applications?

Scharf:The privacy concerns are real, but you gave up your privacy when you got your first mobile phone (for some this was as early as 1996). It could track you. Technically, that impacted your privacy 20-plus years ago.

Once the Blackberry was introduced in 1999, followed by the iPhone eight years later, your privacy became severely compromised. Your phone knows where you are, and it knows what youre doing. Even if you keep your Bluetooth off, your device and its apps know a lot about you.

If you wear any technology whatsoever, you are giving up your privacy. According to a 2014 study by GlobalWebIndex, 71% of people ages 16 to 24 want wearable tech. That was over five years ago before we had much wearable technology.

In the same study, 64% of internet users aged 16 to 64 said theyve either already used a piece of wearable tech or were keen to do so in the future.

Fast forward five years, and half of Americans use fitness trackers daily. More than 96% of Americans have a cell phone of some kind.

People may say they have privacy concerns, but when it comes to using technology that improves our lives, we forgo privacy for convenience.

Next: Artificial Intelligence, Privacy, And The Choices You Must Make

Continued here:
What Role Will (Or Does) Artificial Intelligence Play In Your Life? - Forbes

Artificial intelligence is all the rage, and theres good money to be made in an industry thats still largely emerging from its infancy. But, the problems that AI solves are not easy, and to work in the AI industry you will need a strong and focused set of skills.

Heres the good news: We live in a society where a shocking number of people would rather have a robot boss than a human one. We would rather be led by machines.

This means that most of us are accepting of the idea of artificial intelligence, or AI.

In many sectors, machines have already taken over monotonous jobs. Manufacturing is a prime example. Auto and aerospace manufacturers use machines heavily in their assembly lines. In fact, machines completely transformed the way that our cars are built.

Artificial intelligence isnt just a fad. Its here to stay.

And, that means the industry will need a skilled workforce to build, test and deploy more and more artificial brains around the world. Get in early and youll stand to make a lot of money.

Not to mention help change the world.

If you are interested in a career in artificial intelligence, then youre in the right place.

Artificial intelligence attempts to mimic (and surpass) the power of the human brain using nothing but machines. Machine learning is another common term in AI.

The primary goals of artificial intelligence are:

Artificial intelligence attempts to build machines that think and reason rather than operate in a relatively confined space with pre-built routines, procedures and outcomes. Smart AI systems recognize patterns and remember past events and learn from them, making each subsequent decision smarter, logical and more organic.

AI is a giant paradigm shift in modern computing and requires a deeply scientific and logical approach to design computer systems that think and learn. In other words, build robots that arent just robots.

And believe it or not, AI capabilities are all over the place.

A few examples of artificial intelligence systems include speech recognition (available on many cell phones and smart home devices), email spam blockers, plagiarism checkers, language translation services (like Google Translate) and the auto-pilot system on airplanes.

Companies like Google, Microsoft, Apple, Amazon, Facebook, Accenture, Boeing and so many others are hiring for artificial intelligence roles. AI salaries are typically higher than average because good AI talent can be hard to find.

Artificial intelligence is everywhere in society, and the industry is growing rapidly in 2020. Here is exactly what you need to know to pursue a career in AI.

Artificial intelligence is highly scientific. After all, mimicking the human brain using machines is a very tough problem to solve, much less master. The skills that you will need to pursue AI as a career are varied, but all of them require a great deal of education, training and focus.

That said, there is a wide variety of career types available in AI and machine learning, and they range from higher-level research to low-level programming and implementation.

For example, researchers use their breadth of knowledge in theory and study to reveal new types of systems and capabilities. Researchers hypothesize new or different ways for machines to think and test their research for real-world feasibility.

Algorithm developers take AI research and transform that research into repeatable processes through mathematical formulas that can be implemented using hardware and software.

Software developers and computer scientists use those algorithms to write sophisticated pieces of software that analyze, interpret and make decisions.

Hardware technicians build pieces of equipment (like robots) to interact with the world. Robots use its internal software to move and operate.

Most careers in artificial intelligence require coursework and experience in a variety of math and science-related topics like:

Want a career in AI? Then read. A lot.

Read papers and case studies. Experiment with technologies like Map-Reduce, PHP, MySQL, Postgres and Big Data, especially if you are targeting a computer science-related career in AI. Expose yourself to as many technologies as you can.

Pro tip: Browse through AI job opportunities. Read the job descriptions and especially the requirements to get a feel for specific qualifications that you need for that job.

For example, some might need experience in low-level programming languages like Python or MatLab. Others, especially in the healthcare industry, need expertise in data services like Spark and Blockchain.

Regardless of the type of job that youre after in artificial intelligence, there is no better way to figure out the exact skills you need than to read job requisitions and stay as up-to-date in the industry as possible.

Use the Job Search tool here on The Ladders to find AI and machine learning jobs.

Though the types of careers in the AI industry are varied, most professionals in AI possess five key skills and capabilities, regardless of their individual roles.

Most AI professionals:

Are highly critical thinkers. They take nothing at face value and are naturally curious. They believe in trial and error and must test and experiment before making a concrete decision.

Like to push the envelope. AI is all about pushing the boundaries. Pegging the capabilities of hardware and software to their max, always looking for more. More ways to improve existing systems. More ideas for inventing new ways to live.

Live naturally-curious lives. Always wanting to know more, artificial intelligence pros want to know how things work. They dont just look. They observe. They dont hear. They listen.

Dont get easily overwhelmed. They understand that artificial intelligence is highly technical, but also realize that venturing into uncharted waters is difficult and mysterious. They enjoy the process rather than getting frustrated by it.

Love math and science. AI is highly technical and its a natural good fit for those who are gifted and interested in hard sciences and mathematics.

Artificial intelligence is not just about replacing the human component of the industry. Its also about making it easier to make decisions based on observable patterns, use logic and reasoning to form conclusions and build pathways to boost efficiency and production.

It is not an easy discipline, but thats also why salaries in the AI industry are much higher than average. It takes the right type of person with the right skill set to excel.

Are you the type of person whos right for a career in AI? If you have many of these skill sets, then you just might be.

Follow this link:
These are the exact skills you need to get a job in artificial intelligence - Ladders

In this weeks roundup from the Association for Unmanned Vehicle Systems International, which highlights some of the latest news and headlines in unmanned vehicles and robotics, studying autonomous vehicle operation in Canadian winters, the foundation is laid out for ZM Interactive customers to conduct beyond-line-of-sight drone flights, and unmanned surface vehicles conduct seabed surveys on offshore wind farm turbines.

Scale AI open-sources data set to help in the development of autonomous vehicles capable of driving in wintry weather

This week, a startup called Scale AI open-sourced Canadian Adverse Driving Conditions (CADC), which is a data set that contains more than 56,000 images in conditions including snow created with the University of Waterloo and the University of Toronto.

The move is designed to help in the development of autonomous vehicles capable of driving in wintry weather, as Scale AI claims that CADC is the first corpora with snowy sensor samples to focus specifically on real-world driving in snowy weather.

Snow is hard to drive in as many drivers are well aware. But wintry conditions are especially hard for self-driving cars because of the way snow affects the critical hardware and AI algorithms that power them, explains Scale AI CEO Alexandr Wang in a blog post, via VentureBeat.

A skilled human driver can handle the same road in all weathers but todays AV models cant generalize their experience in the same way. To do so, they need much more data.

According to Scale AI, the routes captured in CADC were chosen based on levels of traffic and the variety of objects such as cars, pedestrians, animals, and most importantly, snowfall. Teams of engineers used an autonomous vehicle platform called Autonomoose to drive a Lincoln MKZ Hybrid mounted with a suite of lidar, inertial sensors, GPS, and vision sensors (including eight wide-angle cameras) along 12.4 miles of Waterloo roads.

Combining human work and review with smart tools, statistical confidence checks, and machine learning checks, Scale AIs data annotation platform was used to label each of the resulting camera images, 7,000 lidar sweeps, and 75 scenes of 50-100 frames. The company says that the accuracy is consistently higher than what a human or synthetic labeling technique could achieve independently, as measured against seven different annotation quality areas.

For University of Waterloo professor Krzysztof Czarnecki, his hope is that the data set will put the wider research community on equal footing with companies that testing self-driving cars in winter conditions, including Alphabets Waymo, Argo, and Yandex.

We want to engage the research community to generate new ideas and enable innovation, Czarnecki says. This is how you can solve really hard problems, the problems that are just too big for anyone to solve on their own.

ZM Interactive selects Iris Automation as detect and avoid provider for its UAS

ZM Interactive (ZMI) has selected Iris Automation as the detect and avoid (DAA) provider for its drones, which will allow ZMI customers to conduct beyond visual line of sight (BVLOS) operations.

ZMI manufactures the xFold drone, which is an industrial, military-grade UAS that comes in various sizes and configurations. Its frame can change between a x4 (Quad), x6 (Hexa), X8 (octo) and X12 (Dodeca) configurations in minutes, and it has a heavy payload capability of more than 300 pounds, making the UAS ideal for a wide range of commercial, industrial, military and emergency response applications. Some of its use cases include aerial cinematography, 3-D Mapping and inspections, and cargo delivery.

Having selected Iris Automation as its DAA provider, ZMI will provide the option of equipping its UAS platforms with Iris Automations Casia system. Described as a turnkey solution, Casia detects, tracks and classifies other aircraft and makes informed decisions about the threat they could potentially pose to the UAS. To avoid collisions, Casia triggers automated maneuvers, and alerts the pilot in command of the mission.

This collaboration between Iris Automation and ZMI allows xFold drone customers to use their drones to their full potential, explains Iris Automation CEO Alexander Harmsen.

Having drones pre-equipped with the option for advanced BVLOS capabilities is a basic requirement the industry will soon expect to see on all drones out-of-the-box.

Under its partnership with ZMI, Iris says that it will also offer customers with Casia onboard regulatory support for Part 107 waiver writing and regulatory approval processes to secure the permissions needed to conduct their unique BVLOS operations.

XOCEAN's XO-450 USV conducts seabed surveys for Greater Gabbard Offshore Wind Farm

Considered a first for the offshore wind sector, XOCEANs XO-450 USV recently conducted seabed surveys on seven of the turbines at the Greater Gabbard Offshore Wind Farm, a joint venture between SSE Renewables and innogy.

To validate data collection before the vessel departed the work locations, experts located in the United Kingdom monitored the data collected from shore in real-time throughout the survey.

According to XOCEAN, the survey demonstrates the highly flexible and collaborative nature of this technology, which ultimately allows industry experts to have direct access to real time data, from any location.

We are constantly looking for innovative ways in which we can operate our fleet of renewables assets, says Jeremy Williamson, SSE Renewables Head of Operations.

XOCEANs vessel will allow us to carry out our work in a more efficient, and most importantly for SSE Renewables and our partners innogy, in the safest way possible. Were really interested to see how this sort of work can help improve our industry and look forward to working with XOCEAN in future.

XOCEAN says that its USVs offer a number of benefits, including keeping operators safe as they remain onshore, efficiency with operations 24 hours a day, seven days a week, and environmental benefits with ultra-low emission. These benefits result in significant economic savings, the company adds.

Our USV platform has demonstrated itself to be a safe, reliable and low carbon solution for the collection of ocean data, says James Ives, CEO of XOCEAN.

We are delighted to be working with SSE and innogy on this ground-breaking project.

Share your vision-related news by contactingDennis Scimeca, Associate Editor, Vision Systems Design

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Artificial intelligence assists in the study of autonomous vehicle performance in winter conditions - Vision Systems Design