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10 Examples of AI In Our Everyday Lives

StrategyDriven Online Marketing and Website Development Article |AI|10 Examples of AI In Our Everyday LivesPerhaps you think that artificial intelligence (AI) or machine learning (ML) are concepts that do not concern you at all or are too complicated for everyday use? In theory, you may be correct, but in practice, these concepts are already an indispensable part of your daily life, though you may not be aware of them. In this article, we will give you ten examples of AI in our everyday lives.

Do you remember the image of artificial intelligence you had in 2010? At that time, for most of us, artificial intelligence was reserved mainly for science fiction works. It was not yet anchored in our daily lives. It was, in fact, a research discipline. Over the past eleven years, this technology has made great strides in many industrial sectors. It has also burst into our daily lives and has materialized in the form of smartphones and autonomous cars, robotic vacuum cleaners, and self-propelled lawnmowers. Based on a few particularly relevant examples, see for yourself how much artificial intelligence has changed the world in recent years.

Email Messaging

Electronic messaging relies heavily on AI to optimize its performance and increase user satisfaction. Our email boxes have been learning over time thanks to advanced algorithms—for example, spam filtering. Spam filters rely heavily on artificial intelligence, which can process large amounts of messages and detect new spam flooding of your inboxes very quickly.

The publishers of these spam emails change their strategies regularly. As a result, having a few keywords is not enough to identify adverse content. Hence the need to use AI solutions. A perfect example is Gmail from Google, which uses TensorFlow and blocks over 99.9% of spam.

Search Engines

Search engines could hardly function without AI, given the massive size of the web. The AI is deployed in robots that crawl the sites to index them, classify them, and ascertain the display order according to the search expressions. As a result, search engines are fully harnessing the benefits of AI: Technology is helping to understand user behaviors better and drive better outcomes for brands and internet users alike.

Social Networks

AI largely determines the way information is displayed, especially on social networks. For instance, Facebook distributes posts from followed pages, then filters them to highlight those considered most significant while covering the rest. However, no matter what social media platform you use, what you see and do in these applications is primarily influenced by machine learning. As a result, AI controls the channels you see when browsing these platforms or the notifications you receive.

E-commerce

While it’s impossible to predict the future with precision, an excellent data-driven strategy allows marketers to get a more holistic view of upcoming consumer trends. As a result, consumers receive more personalized purchase suggestions based on research conducted by sellers and based on their purchase decisions made so far. As a result, online retailers increasingly use AI consulting companies to take full advantage of the available data and provide their customers with more personalized offers, thus generating higher revenues.

Banking applications

When discussing online shopping, you cannot ignore online banking. Banking is one area that has adopted technological inventions earlier than most other areas. Secure payment is possible in particular thanks to artificial intelligence, as systems continually learn to recognize fraudulent transactions. Have you ever got information from your bank when you purchase using the new device? That is a case where banks used artificial intelligence to detect any potential fraud. Notifications from banks and financial institutions regarding their services and products are examples of artificial intelligence that allows you to understand your preferences, requirements, and financial condition to propose appropriate products.

But the process goes further. Banks use artificial intelligence in many areas, including analyzing customer investment trends, providing customer service, and more.

Chatbots and Customer Service

For most retailers, dealing with many inquiries and comments from consumers through multiple phones, email, and social media channels can be challenging even for the most experienced marketing departments. For this reason, brands are increasingly using chatbots.

With chatbots, the customer experience is smoother. Social media and customer service teams can free themselves from tasks like scheduling appointments and focus on more strategic activities. They can seek out brand ambassadors and create interaction with user-generated content (UGC). Through intelligent learning, chatbots can better understand the language used by each customer, which makes interactions more authentic and easier to navigate. It also allows brands to respond more quickly to micro-moments–targeted junctions where consumers look for specific products or information.

Artificial Intelligence and Smartphones

Imagining life without cell phones seems like a challenge. However, the various applications in our cell phones are now an integral part of our daily life. Many of these applications are based on artificial intelligence. The intelligent assistants built into our phones, such as Siri, Alexa, and Google Assistant, are the most prominent examples of AI that most of us know and use.

In addition, more and more mobile technology platforms are developing solutions that use artificial intelligence to manage various aspects of the device, such as battery management, event suggestions, etc. One of the standard functions, such as unlocking the screen with the image of a face, also uses artificial intelligence. As a result, AI-enabled services are now an essential part of iOS and Android platform updates.

Smart Homes

Alexa and Bixby come to mind when it comes to using AI in the development of smart homes. However, these applications of artificial intelligence are not limited to these intelligent voice assistants. A great example of smart homes are AI apps that save energy by automatically turning lights based on human presence. And we also have intelligent speakers, apps that change the color of light according to today. These are just some of the applications where AI is used to make homes smarter.

Navigation

In the morning, you leave your apartment and log into your favorite navigation app. What happens most often? Without even typing a single character, it offers to take you to your work or school, if that’s where you are used to going at that time. Artificial intelligence has changed our traffic habits. Thanks to navigation applications like Waze or Google Maps. These determine the shortest route and estimate the time of arrival. They can even take real-time traffic into account to automatically change the trajectory to avoid traffic jams.

There is no doubt that AI will grow more and more, and thanks to it, people will become more productive and lead a more comfortable life to a higher standard. The possibilities offered by artificial intelligence seem endless. Therefore, we should enjoy them and use them instead of perceiving them as a threat.

How you can use AI to become a more effective leader

StrategyDriven Management and Leadership Article |AI|How you can use AI to become a more effective leaderOne of the greatest challenges of business is dealing with the unknown. As a business leader, you must manage risk and reward every day of your working life.

The ability to know if a new product has been marketed correctly or if your customers are satisfied with your brand is something only skill and experience can bring.

However, the rise of artificial intelligence is a potential ace card up your sleeve, waiting to be used. Armed with the ability to understand your market better, interact with it and know precisely what customers will want next can give you a huge advantage over your competition and help you lead your business far more efficiently.

Here’s how:

You can make far more informed decisions

What is the most important information you need when making a tough sales decision? Consumer data. Without it, you are operating blind, and the right decision is perilously tricky to make.

Thankfully, AI – such as the https://smartboost.ai/ system – changes this, because it can collect and quantify gigantic amounts of data on both your customers and your company. This allows you a deep, meaningful understanding of every single one of your prospects, one-time buyers and lifetime customers. The AI analyzes this data and gives you an easy-to-process report, giving you all the information you could ever need to make a reasoned decision about your brand strategy.

You know exactly how your customers are feeling

Because of this huge resource of information, you can connect far more personally with what your customers are feeling about your brand. As a business leader, it can be almost impossible to stay in touch with ‘on-the-shop-floor’ colleagues and the buyers themselves.

Previously, you could be handed completely warped information on the state of the market. Customer surveys can only go so far. This gives you the ability to correct any flaws in your products and better position your brand in the market.

While AI software will be used differently by different departments, you can use it to stay better connected to the day-to-day running of the overall business and track its progress.

Cut down on wasted resources

When marketing your product, it is difficult to analyze what works well and what doesn’t, especially with any real precision. This often leads to huge swathes of the resource being invested in advertising campaigns and even products that consumers simply don’t want. By using AI software, you can minimize this expenditure and focus on the prospects that are most likely to buy, and the products most likely to sell.

Avoid making mistakes

AI is, obviously, not human. This means it overcomes human flaws by remembering everything it has learned and never making the same mistake twice. Even the most level-headed business leader cannot deliver this level of consistency.

With every passing marketing campaign, the AI software will remember what went well in the past, and what can be improved upon in the future. This allows you to minimize the chances of managerial error and gives you peace of mind that (in theory at least) your strategy should improve the more you use AI.

6 Ways Technology Can Help Companies Innovate Out of the Coronavirus Downturn

StrategyDriven Innovation Article |Coronavirus|6 Ways Technology Can Help Companies Innovate Out of the Coronavirus DownturnAs our world deals with the COVID-19 pandemic, business leaders must understand that it’s going to be technology that determines which companies survive and build success from this unprecedented event.

The current COVID-19 pandemic may be the biggest “unfreezing event” that our economy has ever experienced, certainly since World War II. To turn a block of ice into a new shape you must first unfreeze it, pour the water into a mold, and then refreeze it again. Human habits work much the same way. COVID-19 has forced us all to behave differently—To unfreeze. Our habits will mold into new shapes, habits and routines that may endure once the current crisis has passed. Businesses routines will have to change too. We are entering a new fluid state that will lead to an unprecedented period of innovation and transformation.

Before COVID-19, the world was already on a path to widespread change. In my book, “The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s,” I outline the technologies that will drive unprecedented innovation into products and services in the 2020s, creating entirely new business models. The pandemic makes those technologies more relevant now than ever. These technologies are:

  1. Artificial intelligence (AI)
  2. Blockchain
  3. The Internet of things (IoT)
  4. Augmented reality
  5. Autonomous machines
  6. 5G and satellite networks

While some organizations had begun to embrace these technologies before the pandemic, it’s now critical that business leaders keep moving ahead with innovation efforts as we move into a new normal.

With social distancing, we have already seen new behaviors emerge: Increased use of telemedicine, online food delivery services, video conferencing, and home streaming services.

Online schooling is another example. While there has been some investment in online education by various institutions, that’s going to accelerate rapidly as millions of kids are required to learn from home. Educators are installing digital infrastructure, learning how to use it themselves, figuring out best practices on how to get the most out of the medium, training kids on how to use it, and setting expectations for proper use. Once this investment of time, money, and trust is made, a new normal is created. When the current crisis is over, that investment remains, and the barriers to shifting at least some of the curriculum online are already gone. Where it makes sense, digital education may become a common part of all schooling.

This is a clear example of an acceleration. Education’s shift towards digital was already underway. The constraints placed by pandemic only accelerated the inevitable.

The same applies for telemedicine. Here, the issues holding back the shift are not technological; necessary infrastructure is mostly in place. The barrier slowing roll out before the pandemic was that doctors couldn’t bill as much for their time as for in-person visits to a clinic. Expect this challenge to be addressed quickly, and telemedicine to become a more important component of our healthcare systems in the future.

While it’s premature to determine how the world might be different going forward, it’s not too early to take a few educated guesses. Here are some initial thoughts on how things may be different, and how new technology might play a significant role.

  • Robots don’t get sick. All businesses will make moves to improve business continuity and reduce risk. This may accelerate investment in automation technologies, including artificial intelligence, robotics, sensors, autonomous vehicles (e.g. for delivery), and blockchain technology. Self-driving delivery trucks and drones don’t carry disease if properly cleaned. Even governance of operations can be encoded into blockchain networks and artificial intelligence.
  • Better supply chains. As part of a broader risk reduction exercise, we will see companies make moves to build more robust supply chains. Expect many measures here, including requirements for multiple sources across multiple countries, some onshoring (especially for critical components and products) and increased levels of transparency and traceability for goods in the supply chain. New provenance chain technology, based on Blockchain technology, can play a big role here. New automation technologies will make onshoring of manufacturing more attractive.
  • More remote workers. Again, to reduce risk, we may see bigger companies move away from large HQ campuses towards many connected, highly distributed sites. More people will work from home offices. This will constitute a balance between risk mitigation and rapid information flow in organizations. The high-speed connectivity of 5G and satellite networks will be crucial to this shift.
  • Social apps. New apps and services will emerge that help people remain social while keeping their distance. Humans are social creatures. Let’s see which company will be first to capture the world’s imagination with a new social game designed to connect far-flung family members of all ages.
  • A new reality. Virtual and augmented reality (VR and AR) technology will likely get far more use. VR offers a powerful sense of immersion, making you feel like you are transported to another place. At a time when that’s one of the things that we can’t do, people will crave the ability to visit distant places and to feel like they share the same space with family and friends. Avatar technology is improving, as are sensors that capture our movements and even our expressions. As low-cost, high-quality AR headsets become available in the coming few years, there is an incredible opportunity for developers to create new social experiences at a distance. Those could include, for example, an enhanced shopping experience in the home or better collaboration between remote coworkers.
  • A race for broadband. The next several weeks will make the value of a broadband connection crystal clear. Yet, broadband Internet is still not available to half the planet. People in rural areas are particularly disadvantaged. Satellite constellations, built by companies like SpaceX, OneWeb, LeoSAT, Amazon and others, will bring broadband connectivity to every corner of the earth by the end of the decade, much sooner in many locations. This build-out cannot happen quickly enough.

We live in unprecedented times. It’s too early to call how this all plays out, and we should all expect our plans to shift over time as new information becomes available, but every company must begin to think about the new normal and build their business plans accordingly.

The pandemic has proved that in order to survive, every company must become a technology company. Every company must become a data company. Business operations must be retooled using both process automation and worker augmentation.

A construct that I find useful as a futurist is to ask myself several simple questions in the face of a new force of change: What will stop, what will start, what will accelerate, what will decelerate, and what will transform? Think about how answers to these questions will affect your business in the future.

A colleague of mine, former Intel CEO, Craig Barrett, told me back in 2008 that the best way to weather a recession is to invest your way out of it. That way, when the market turns around you can race out of the gate ready to take fullest advantage of the upswing. No company ever saves their way out of a recession. Innovation will be vital to recovery.

For companies that heed Barrett’s advice and choose to innovate their way out of recession, new technology will be key. As we reimagine products, services, channels, companies, and the entire economy for the rest of the 21st century, six strategic technologies—artificial intelligence, the internet of things, Blockchain technology, 5G and satellite networks, autonomous machines, and augmented reality—will each play an important part.

Every company needs to gain a deep understanding of these technologies and how they might be deployed to meet rapidly evolving consumer needs, to create new channels (that enable remote interaction), to automate business processes, to boost business continuity, and to deliver innovative new products and services that fuel economic growth.

The best way to get out of recession is to innovate your way out of it. The sooner we start to think that way, the sooner we can slingshot ourselves out of our current situation.


About the Author

StrategyDriven Expert Contributor | Steve BrownSteve Brown is an energetic speaker, author, strategist, and advisor with over 30 years of experience in high tech. He is the former futurist and chief evangelist at Intel Corporation and helps others understand the business and societal impacts of new technologies and how they will shape the future five, 10 and 15 years from now. He is the author of The Innovation Ultimatum: How Six Strategic Technologies will Reshape Every Business in the 2020s. Steve holds Bachelor of Science and Master of Engineering degrees in Micro-Electronic Systems Engineering from Manchester University. He was born in the U.K. and became a U.S. citizen in 2008. He lives with his wife in Portland, OR.

The Value of the Human Mind – How Machine Learning is Helping Humans Win

StrategyDriven Innovation Article | The Value of the Human Mind - How Machine Learning is Helping Humans Win

Overview

There is no doubt that we are living in the AI era. Artificial intelligence is at work all around us today. Even if we do not realize it, our thoughts and actions are training the technology to respond in the way we desire. Machine learning is one of the fundamental tasks of AI. Just as the name implies, the machines and platforms we use daily are learning from the consistent input we provide. Let’s look into ways that machine learning is helping to make our lives much easier.

What is Machine Learning?

Machine learning is an AI component that uses algorithms to find and apply data patterns. The process involves the input of data into a model that is used to predict an outcome. The more data that is input into the model, the “smarter” the machine application seems to get.

The data used can take on many forms, such as text numbers, images, videos, clicks, etc. If there is a way that the item can be stored, it can be applied to a machine-learning model. There are a variety of ways that machine-learning algorithms are incorporated. These various algorithms fit under three specific types of machine learning.

StrategyDriven Innovation Article | The Value of the Human Mind - How Machine Learning is Helping Humans Win

Types of Machine Learning

The three types of machine learning are supervised learning, unsupervised learning, and reinforcement learning. Deep learning is the refined form of machine learning we see used daily. Deep learning uses an algorithm to create what are called neural networks. Neural networks are loosely based on the neural networks of the human brain. Each of these types of neural networks fits in one of the three categories.

Supervised Learning

Supervised learning involves machine learning, where variables—called features—and labels are assigned to the model used. These features and labels are utilized to properly classify the data received. The algorithm can identify patterns based on predetermined features and labels.

An example of machine learning using the supervised model is a machine that can count coins of different denominations. If the weights (features) of nickels, dimes, and quarters (labels) are input into an algorithm, the model can predict the denominations of the coins based on knowing the weight (feature) of each. Another example of this is with a music streaming service that predicts the best choices of music to play based on the genre you routinely choose.

Unsupervised Learning

Unsupervised learning does not use predetermined features and labels. The model is set up to search for any patterns it can recognize. The process is much like a person collecting shells at the beach and later categorizing them based on their shapes. Since there are no labels in this process, there is a greater ability for the machine to analyze the data to locate hidden structures contained within it. Unsupervised learning has become popular among those in the cybersecurity community.

Reinforcement Learning

Behavior modification involves the use of reward and penalty to encourage or discourage specific activities. For instance, if a dog is being house trained, it will be rewarded when it does its business outside and scolded when it does so inside. Reinforcement learning uses these same feedback responses to train machines to learn.

The algorithm for reinforcement learning is based on a trial and error model. Large amounts of data are input into the model, and the machine is rewarded or penalized subsequent to whether the selections help or hinder the objective of the application. Reinforcement learning is seen with the training of robots for industrial automation.

StrategyDriven Innovation Article | The Value of the Human Mind - How Machine Learning is Helping Humans WinHow Machine Learning Helps Humans

We see machine learning at work in our everyday lives. From our search engine results to our ride-sharing apps, machine learning is front and center in the process.  What he have seen is that augmented intelligence enhances human’s intelligence. Let’s focus on some of the applications that use machine learning.

GPS has become a staple in the lives of all travelers. GPS uses machine learning to assist us in reaching our destination by using other users’ input and recognized patterns. Picture recognition used by Facebook is another form of machine learning that uses a supervised model. Ride-sharing apps use various machine learning models to predict destinations, estimate times, and determine pricing.

StrategyDriven Innovation Article | The Value of the Human Mind - How Machine Learning is Helping Humans Win

Conclusion

Once merely an element in sci-fi movies, AI has become a part of our daily experience. Whether we notice the presence of machine learning or not, our lives have been made notably simpler due to its role in developing applications designed to give humans the advantage. Hopefully, you can now recognize the ways that AI continues to benefit you every day.

The Dos And Don’ts Of Automation In Business

StrategyDriven Managing Your Business Article |Automation in Business|The Dos And Don’ts Of Automation In BusinessAutomation involves using robots and software to take care of tasks. In recent years, it’s become a popular way of improving efficiency in business – by no longer having to manually complete tasks, you can free up a lot of time and energy. Most tasks nowadays can be automated. However, just because you can automate every task doesn’t mean you should automate every task. There are still some processes that benefit from a human touch and automating them could do more harm than good. To help you determine when you should use automation, here are a few dos and don’ts.

Do automate long, repetitive tasks

Long and repetitive tasks can be tedious. These are the types of tasks that are perfect for automation. Robots are able to handle long, repetitive tasks for hours if not days. They won’t get tired and won’t lose concentration like humans (which leads onto the next point of precision).

Do automate tasks that require constant precision

Humans aren’t able to offer the reliable constant precision that machines can. If you’re mass producing a product and need to apply a specific amount of glue to a specific spot, it could be worth looking into automated dispensing technology to do this task. Automation could also be useful for tasks that require precise calculations such as working out complex scientific formulas.

Do automate dangerous tasks

Some tasks could be particularly dangerous. Putting them in the hands of a robot could save you or your employees from getting harmed. Robots are already used to assess burning buildings, clean up nuclear sites, dispose bombs and inspect pipelines. While these tasks are still often manually controlled by a human from a remote location, certain routine tasks that involve dangers are starting to become automated.

Don’t automate user testing

The whole point of user testing is to test a product on a real-life user. While software can be used to simulate some testing, some of your testing will need to be done on humans to get a genuine reaction. This could include everything from tasting food to trialling out software.

Don’t automate marketing

Effective marketing relies heavily on appealing to human emotions and requires a lot of imagination. While there are automation tools out there to create social media posts, send out emails and generate ads, you could find that you get poor results by relying wholly on automation. Exciting marketing campaigns require human ideas – although once these ideas have been established, you may be able to automate certain processes (such as scheduling pre-written emails to get sent out at certain times).

Don’t automate tasks that require empathy

Robots suck at empathy. Any job that involves empathising with other humans should be handled by humans. A noteworthy example of this is handling complaints on the phone – getting a robot to answer complaint calls could end up frustrating most callers. Automated phone answering should only be used to direct people to the right human contact.