In the smartphone industry, machine learning algorithms are now used as native features to make phones more secure and private. These algorithms use big data to apply security protocols on devices that increase their protection against hack attempts and data stealing.

Relatively, the smartphone app segment is also seeing a rise in shaking hands with machine learning experts to build apps that are much safer, more personalized, and more efficient. From improving user satisfaction to user trust, developers are looking at machine learning algorithms with the hopes of competitive advantages. But, it is crucial to identify how impactful machine learning algorithms are for the app industry? We are discussing that in this blog. So, stay with us until the end.

1. Promoting the Culture of Personalization

Machine learning has pushed the idea of personalization among different segments of apps in the global market. The unsupervised machine learning algorithms are used to track user behavior to predict user preferences. Accordingly, the AI updates the user interface and users get suggestions shortlisted just for them. As mentioned above, streaming and eCommerce segments are already using this application of machine learning. However, some other categories such as virtual education, healthcare, and more are also adapting the culture of personalization in mobile applications.

2. Evolved Wireless Networking Between Devices

By pairing up with other technologies such as the Internet of Things (IoT), machine learning is optimizing the wireless culture across multiple regions. The smartness that it puts into processes is useful in making wireless devices more efficient and secure. For instance, home security systems are one of the most popular IoT trends that are getting normalized.

These trends include devices and apps that use machine learning algorithms to monitor homes for security purposes and raise alerts if needed to inform the user. Some additional features that are provided with this technology include motion detection, night vision, and alerting emergency services if needed. As machine learning is proven to be a very helpful tool in such applications, the popularity and demand for IoT home security services that can be paired up with smartphone homes are increasing.

3. Helping Companies With R&D Tasks

Research and development strategies often require core statistics for their best possible impacts on results. Thus, machine learning frameworks use algorithms to build apps to keep a record of user behavior and trends to generate big data. This big data, paired with predictive analytics tools, is used to form foolproof strategies. Now, the best way of collecting such data is through smartphone apps. Thus, it has become a common practice for many apps existing today to track data such as the number of hours users spend on the app, what features they use very often, how long do they stay on each feature of the app, what products they usually order, etc.

4. Enhancing Cybersecurity Aspects of the Virtual Market

Cyber security is one of the major concerns of any kind of virtual platform that are existing today. Be it smartphone apps or websites, exposure to cyberattacks is as large as the popularity of the brand is. According to this Statista report, Finance is the most targeted segment by cyber attackers in the global market. Now, machine learning is coming out as an effective shield against these cyberattacks that does not only protect applications but also counterattack by generating the data that helps in strengthening these security measures further.

Today, with tools such as predictive analytics, the historical data of cyberattacks is used to predict and counter cyber threats before they even exist. Thus, with time, smartphone apps are becoming more alert and secure. Developers have also found the most effective ways to shield apps and two-factor authentication is one of these popular protocols at the moment.

5. Increasing Adoption of Targeted Ads

Ads are one of the crucial ways which help developers in earning money even after providing apps and features entirely for free. However, wrong ads had become a pain for users and developers both in the past. But machine learning changed that part of the scene and helped developers and ad experts in creating networks that target and reach the right audience. These ads use AI and ML algorithms to identify the right segment of the user that might be interested in knowing more about the service or products. The predictive analytics part of the technology helps advertisers in landing the right ad on the screen of the right audience to reduce the percentage of annoying users effectively.

Wrapping Up

Well, these were a few examples to showcase to you how machine learning is transforming the app development industry for the global market. Now, as machine learning is an evolving technology and it keeps changing with time, it is clear that even after all these privileges that it has gifted developers, the technology still has much-unexplored potential left. With time as its remaining potential keeps coming into the light, it will be interesting to see how developers find new ways to optimize the app usage experience accordingly.

In the end, we hope you found this blog useful. We will return with such informative articles soon but meanwhile, do not forget to explore already published blogs to increase your knowledge and understanding of different other concepts existing in the IT market.

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Now, to understand how AI is influencing the IoT industry, let’s have a look at what IoT is and how does Internet of Things work? Internet of Things (IoT) is a network of things that receive communication and react. In short, IoT enables sensors of devices like appliances or smartphones to make them work wirelessly. Modern Smart TVs, ACs, even automated vehicles are the perfect example of IoT existing in our daily lives. Today, AI is used to make these IoT devices more efficient and capable. Moving forward, let’s discuss more roles of AI in the IoT industry.

More efficiency in smart home devices

AI consumes a lot of data to execute tasks that have been assigned to it. For smart home devices, AI is useful in making them more accessible, especially in following voice commands. AI enables these devices to understand more languages, dialects, and pronunciations. It does not only make devices easier to use for users, but also expands the market for top IoT manufacturers and top IoT app development companies.

Better healthcare management

With the help of IoT sensors, AI is able to predict if there are healthcare issues slowly developing inside the human body. Devices such as Fitbands are used to collect heart rate, BPM, and more data. This data is used by AI to prepare a healthcare report that shows if the patient needs assistance or not. In many cases, AI in healthcare can be really useful to find out diseases before they become fatal.

Better cybersecurity

AI, with the help of IoT, is capable of managing the cybersecurity of servers, especially if they are connected to the same environment. AI can detect anomalies in the data and stop or predict attempts of attacks to raise warnings. Moreover, cases like hardware failures are also detected by AI to ensure proper actions before they affect the server. Many modern companies are using AI along with other technologies like Blockchain to make an efficient cybersecurity system.

Better safety measures

IoT devices can help AI in detecting safety hazards like possibilities of fire or short circuits and more. The data can be used to alert authorities and raise alarms. Moreover, devices such as CCTV cameras can also be used to detect unknown faces or forceful entries with the help of AI to ensure proper security. Institutions such as Banking can use these combinations of technologies to counter robberies, theft, and more.

Better operational management

The future of IoT is all about automation, where multiple devices will be connected to each other and make processes automated. In the case of operational processes, especially for manufacturing industries, AI with IoT can be really useful. It can reduce the percentage of blunders and costs involved in manual procedures. AI with IoT can automate every process starting from manufacturing to assigning to deliveries. Modern AI is capable of doing that. But in the future, AI might even grasp the automated delivery part as well.

Automated vehicles

Companies like Tesla are dedicated to making self-driven vehicles a common trend. Even though they have already developed the technology, it is still not suitable for many environments. But AI, which is already used in these vehicles, can make transportation more sustainable to make adoption of such vehicles much easier.

Traffic management

AI with IoT devices like sensors and cameras can help authorities in managing traffic quite easily. AI can conclude better traffic management strategies compared to human involvement to ensure that traffic is controlled smoothly. Moreover, soon AI will also have the capability to reduce the percentage of accidents that have been happening due to poor traffic management decisions.

Wrapping up

AI is the future. Soon we will see that AI is doing more than we had imagined and IoT devices will become a bridge to that possibility. However, modern AI still requires a lot of evolution to become self-independent. Thus it will take some time. So, that is all for the role of AI in IoT. Before we end this blog, let’s have a look at a few key points from above.

1. AI can help smart devices in recognizing more accents, languages, and dialects to respond better
2. Healthcare devices are using IoT and AI together to analyze and predict possible health situations
3. Technologies such as Blockchain and IoT are using AI to make Cybersecurity more efficient by automating the scanning process to detect anomalies
4. AI can help in keeping an eye on incidents like fire breakouts or robberies to alert authorities for a quick action
5. AI with IoT can be used in industries like manufacturing to automate processes from order placement to delivery
6. Self-driven vehicles are the future and AI can help in making them more efficient to ensure fewer accidents
7. AI can ensure smooth traffic management with the help of IoT devices like motion sensors and cameras

Well, that’s all for the role of AI in the IoT revolution blog. Hopefully, you found this discussion interesting. Until next time, Godspeed!

The post The Role of AI in the IoT Revolution appeared first on SiteProNews.

Now while the world continues to fight this ongoing pandemic, technology has come up as the biggest ace-card for mankind in not just curing the people infected, but also in finding the vaccine and curbing the spread of the virus. Taking an example of AI/ML alone, this is a technology that has proven its worth in mitigating the virus to a great extent so far. 

So here’s our detailed take on some of the ways in which Artificial Intelligence/Machine Learning can help mitigate the spread of Coronavirus. 

Top Ways in Which AI/ML Can Help Mitigate the Spread of Coronavirus

Have a look at the top ways in which AI/ML can help mitigate the virus. 

1. Identification of Suitable Vaccines Using Machine Learning

Right since the onset of COVID-19, talks and debates around vaccine development have been an ongoing thing. While some countries continue to claim their potential achievements in vaccine development, any concrete success still seems a distant reality. However, here’s a thing, the integration of Machine Learning in medical science can be one of the key factors in vaccine development. 

But before we discuss that, let’s have a little insight into the developments happening around the development of the COVID-19 vaccine. 

• Sanofi, the French pharmaceutical giant, has been working on the development of the COVID-19 vaccine that will be made available to the US much before the rest of the world. 
• Israel-based TAU has teamed up with Swiss-based biopharmaceutical Neovii for the development of a COVID-19 vaccine.
• Moderna has completed phase-1 of its trial in vaccine development and, as per reports, the results are encouraging. 

Now while these are some developments happening around vaccine development, the real question is, how can Machine Learning help in this case? 

Well, Machine Learning is a technology that can assist drug developers to quickly analyze the suitable raw materials for the development of COVID-19 vaccine. With the help of ML Models, developers can maneuver through the protein structures and determine their impact on mitigating the virus. In fact, Deargen, a South Korea based company has developed a deep learning model that can identify the compounds to tackle the virus. The model, in fact, has reportedly been able to identify the FDA-approved atazanavir medication to cripple the virus behind Covid-19. 

2. Medical Assessment through AI-Powered Chatbots

Chatbots aren’t a new thing in the technological world today. Over the years, AI-powered chatbots have proven their relevance in verticals like customer support, customer engagement, etc. However, the same chatbots are now all set to take a step further. 

With their well-renowned proficiencies, chatbots can help healthcare service providers reduce their burden by allowing people to self-assess themselves without any hassle or human contact. This significantly reduces the risk of contracting the virus for either the general public or healthcare workers. By asking a few questions like travel history, type of symptoms, or by taking the body temperature through in-built thermal sensors, chatbots can be breakthrough solutions in not only assessing the public but also saving healthcare workers. 

In fact, Apollo, the renowned Indian Hospitals Chain has developed its own chatbot for diagnosing patients in real quick time. 

Likewise, the CDC and Microsoft have created a chatbot service to track or assess the symptoms of COVID-19. 

3. Machine Learning for Tracking the Spread of Virus

At a time when vaccine development seems a distant project, social distancing and tracking the spread have come up as prominent weapons for local and national authorities around the world in containing the virus. Thermal cameras in countries like South Korea and China have been installed to track and assess the people passing through to determine whether they are infected or not. This has shown tremendous results in China alone. 

South Korea, a country that has been the worst affected in Asia after China, launched an app that ensures people maintain social distancing by tracking their whereabouts. The app can immediately identify one person when he/she comes within 2 meters of another person, eventually ensuring social distancing is maintained at all times. What is interesting about such an app is that South Korea isn’t the only country to have developed it. 

India, where maintaining social distancing seems a near-impossible dream, has developed an application called Aarogya Setu which is powered by Artificial Intelligence and which tracks COVID-19 infected people who are nearby. 

Solutions like these have not only directed iOS developers to embrace a technology like AI in app development, but are also compelling many enterprises choosing Android app development companies around the world today to tee-up in developing more such healthcare apps for tracking the spread of the virus. 

4. Installation of AI Systems in Hospitals

Doctors and healthcare workers treating Covid-19 patients have been amongst the highest at risk in this era of COVID-19. In fact, as per the International Council of Nurses, over 90,000 nurses, doctors, and other healthcare workers have been infected by COVID-19 worldwide today. 

Hence, the demand for efficient solutions in protecting healthcare workers is higher than ever today. What AI systems can do in this case is to eliminate the contact of healthcare workers with the general public and patients. 

These systems being installed in hospitals are now performing more contact-based tasks that would otherwise be done by healthcare experts. In fact, many hospitals are now using AI robots to take medicines to COVID-19 patients, which will eventually eliminate the need for human contact in medicine delivery. 

In a Nutshell

While countries continue to battle the outbreak of COVID-19 and social distancing continues to be the name of the game, one thing is certain, the impact of Coronavirus on businesses around the world has been staggering. Now with that being a fact, the innovations happening in the technological world of AI/ML have made it possible for us to take a step further in curbing the spread of the virus. What happens next remains to be seen but one thing is a certain fact, AI/ML has mass potential in healthcare for the present and future, and can be an asset in fighting the novel COVID-19. 

So, if you have any queries for us or wish to share your thoughts on the role of AI/ML in mitigating COVID-19, feel free to get in touch with us or connect through our social media handles.

The post How Can AI/ML Help Mitigate the COVID-19 Outbreak? appeared first on SiteProNews.