The future that we envisioned in movies is finally upon us. In the current day, many companies are choosing to invest in artificial intelligence and big data technologies. Data analysis and artificial intelligence enable automated decision-making processes based on data analysis reports. Companies in all sectors are looking to optimize and automate their operations to rake in more profits. They need skilled professionals, preferably those who gain expertise through an AI course, to meet these goals.

IDC conducted a study on the use of artificial intelligence in industries, and the results show that artificial intelligence represented $12 billion in the form of market investment in 2017. The study predicts it could reach $57.6 billion by the year 2021. IDC also reported that almost 40% of digital transformation projects would be taken care of through artificial intelligence by the end of this year. Additionally, 75% of business tools are likely to be modeled using artificial intelligence technology as well.

With a rapidly growing presence in today’s world, artificial intelligence (AI) and machine learning span across all kinds of industries. From education to fashion, they can perform a wide range of tasks – right from streamlining operations to helping the management in better decision-making processes. The results are pretty effective and go on to show that AI can truly transform how the everyday world works.

Let’s take a look at how artificial intelligence can completely revolutionize the way we see the world today, and its already far-reaching impacts in several industries.

Let us check out How Artificial Intelligence AI is used in different industries?

• AI uses in Healthcare:

Healthcare and supporting industries use artificial intelligence to analyze complex medical data. It can help medical practitioners make sense of CT scans, X-ray reports, screening evaluations and other medical tests. The patients’ data and external knowledge sources like medical professionals and clinical research can help in creating a personalized treatment strategy for every patient.

Apart from scanning and analysis, AI can also provide medical professionals with real-time advice on medicines and other healthcare procedures. Apps with AI-powered health assistants can track medical data of the user, advising on exercise and diet. That apart, they can also send medical alerts to health centers in case of an emergency.

Here are a few examples of how AI is helping medical professionals all around the globe, matching strides with innovative technology in modern healthcare.

• Babylon AI is a doctor app that uses speech recognition software to check patients’ symptoms, consult them on diseases, and provides diagnosis and treatments using a medical database.
• ly has brought out Molly, a virtual nurse who’s ready with clinical advice and services. Molly offers a suitable response on using a proprietary classification engine to listen to the patient.

• AI uses in Finance and banking:

With the growing popularity of online banking transactions every year grows the risks of complex identity thefts and fraud. AI can be one of the crucial aspects of fortifying cyber security in the modern times. So, the banking and finance sector can benefit significantly from the uses of AI.

The systems use deep learning technology that analyzes patterns and identifies suspicious activities online. It can, at times, predict potential fraud before they take place. PayPal, for instance, reduced its fraud rate to just 0.32% of total revenue using an updated deep learning system that keeps a tab on all transactions in real-time.

AI and machine learning also have a need in the investment sector. Since they can automate statistical model building, hedge funds managed by AI-powered systems are gradually on the rise. It makes trading in the modern times exciting and promising. A robot-advisory platform powered by AI can now give any regular Wall Street guy a run for his money.

These apart, AI can also aid in operational tasks like managing finances, and assessing credit in day-to-day operations in this industry.

Also Read: How Machine Learning is helping business grow in market?

• AI uses in Technology:

It is no surprise that the companies that build swift AI solutions also use them to make their operations easier and to rake in more revenue. Technology biggies like Apple, IBM, and Google usually acquire smaller AI-based companies to gain more footing in the competitive technological sphere.

That way, they get to make full use of the technology developed by smaller companies. Couple that with the resources that any tech giant can afford, and you get updated tech with multifunctional uses.

Tech-based companies like Facebook and Snapchat also use facial recognition software. Skype offers real-time translations through machine learning. Google Translate uses a machine translation system to come up with the most accurate translations between two languages. All are powered through technologies that have their roots in artificial intelligence.

The technological industries are also feeling the impact of AI big time. From virtual customer assistants to natural language processing, they can do it using AI-backed devices and platforms. Siri, Cortana, and Google Home are all AI-enabled and use neural networks to process human language to respond successfully.

The prevalence of AI continues to grow in the tech industry as they keep coming up with newer ways to explore the technology in the current era.

• AI uses in Retail Sectors:

Retail and e-commerce sectors make great use of what AI has to offer. Take conversation intelligence, for example. Companies can interact with customers and follow up leads through AI-backed customer support systems.

AI can also help retail sectors analyze and segment sales calls. Speech recognition and natural language processing come into play for customer support. Most leading retail and e-commerce companies run a round-the-clock online customer support service, al thanks to AI-powered chat bots.

• Sephora’s shopping assistant chat bot uses machine learning and predictive analysis to offer personalized recommendations for every shopper.
• E-commerce giant Amazon uses recommender systems to boost revenue by close to a third (yes, that is HUGE).
• Dynamic pricing software like Darwin Pricing uses neural networks to create price expectations at varying locations which help retailers set up geo-targeted offers and discounts.

Technology sectors are thus teeming with examples of everyday AI usage, and there still is a long way to go.

• AI uses in Higher Education:

Data analytics can help implement adaptive learning programs through data collection and analysis. The learning style and performance of each student will help the technology to continually adjust and adapt to their learning needs as well. AI can aid education in making it accessible and more insightful for learners around the globe. Access to personalized education and carefully customized curriculum can also be brought forth using AI and accompanying technology.

Higher education sectors that are successfully using AI to adapt to a newer dawn of education are as follows. And it helps students in achieving their tougher goals as they are given analytical essay topics on A.I in the form of assignments or academic projects.

• Georgia State University uses an AI-powered chat bot to learn about course allotment, financial aid, and enrollment issues of the students. Students also uses Oxford citation for accurate referencing.
• Oregon State University uses AI to personalize courses of higher difficulty level and maximum credit points.
• Northern Arizona University reports a remarkable decrease in DFW (D-grades, F-grades, and withdrawals) rates since the use of AI-powered course structures.

• AI uses in Transport and Logistics:

Studies predict AI solutions to result in $7 billion in market transactions by 2050. AI in transportation and logistics are helping to make substantial advancements in the sector. They can now be used as intelligent search options for free parking spaces and optimized routes.

Since it is closely linked with the transport industry, AI helps in bringing about more efficiency for logistics as well. Self-driving cars that have 24-hour services do not have to depend on drivers’ working hours anymore. It can help eliminate human interference in logistics in the modern day. Apart from that, AI can also help in saving kilometers, time, and fuel, which then results in higher profitability and lower costs.

Examples of AI in transport and logistics include the following.

• Smart intersections that enable pedestrians and traffic to reduce the number of accidents.
• Groceries, medicine, and packages delivery in logistics for a more efficient supply chain management.

AI uses in Business Intelligence:

Companies that have a large volume of customer generated data on their plates are also making great use of AI and its peripheral technologies. Since traditional business intelligence cannot always match strides with the increasing volume of data, AI is here to save the day. Business intelligence industries use AI-powered tools to explore and categorize data. They can also be used to find insights and data patterns, helping companies be in the customers’ shoes in order to serve them better.

Move over, spreadsheets and dashboards. AI is here to make recommendations and suggest alterations automatically using its predictive analysis features. Companies can now make informed decisions through AI-enables tools that help in data analysis and make helpful suggestions to the board.

AI uses in Tourism:

Travel today has come a long way from planning trips with friends and rushing to the Greyhound stations to get tickets. We now use our Smartphones to plan trips and order tickets online. AI is all set to bring about a bit more of tech innovations into the fore. A Travelzoo report says that 80% of travel assistants will be robots by the end of 2020.

Additionally, we are moving towards more personalized and agile travel experiences. Robots for hotel receptions, traveler IDs issued and verified through facial recognition software, and virtual tourist guides will soon be a reality. AI can change the way we travel for good. Minimizing human interference in travel and making travel planning more accurate and curated to the interests of customers will thus be the future of this industry.

Conclusion

From education to finance, AI is all set to reshape the way we view the world. Automated technologies that help us with day-to-day operations are upon us, and we are quickly heading towards the future, we watched in sci-fi movies. While we must make the most of what the futuristic technology has to offer, we must also be careful not to bring upon a Skynet situation on our hands.

The future of humankind depends on how wisely we make use of the modern technology at our disposal. If we shift our focus to using AI and machine learning into healing the sick, building architectural marvels, nurturing new lives, and educating the future generation, there may just be hope for us to survive the great technological upheaval.

Unless we want to end up in a post-apocalyptic wasteland brought on by the misuse of technological creations, we must keep a check on the uses of AI. Here’s hoping we learn to make good use of the most talked-about technological advancement yet. Godspeed!

Author Bio:

Bella Jonas is a professional tech blogger who is currently working at one of the leading IT firms in New York, USA. She has also been a part of All essay writer for the past couple of years, and delivers cheap essay writing service to students who seek assistance. She loves to adventure new places and make new friends during vacations.

Also Read: How Blockchain Technology is helping Mobile App Developers?

 

With the continuous evolution of technology, every sphere of our lives has been affected, for better or worse. Every year brings in new trends and changes, which become a prominent part of our daily routines. The virtual world of the Internet, in particular, is changing rapidly every year, and with the world becoming a global village, trends seem to spread like wildfire.

With the year 2019 in its full bloom, let us consider some of the latest trends this year has brought with it and the effects these trends will have all around.

What Are The 10 Latest Internet Trends to Look Forward In 2019?

1. Rise in DIY Solutions for Applications:

DIY solutions (Do-It-Yourself) are gaining more and more popularity day by day. Applications being developed these days contain easy to use interfaces and thorough tutorials, which help people operate them on their own. Experts were required to handle tough applications for a long set of years, but in this year, we can observe a wide number of applications that readily facilitate the do-it-yourself cause. Be it music related applications, or a house designing software, you can see the glimpses of self-sufficiency everywhere.

2. Passwords are Becoming Obsolete:

As we have observed in a number of mobile devices being released these days, passwords are becoming a thing of the past. With touch sensors making our lives easier and more convenient, everybody wants to join in the bandwagon. Identity confirmation has been taken to the next level with iris scanners and the ever-advancing facial recognition features. Even the most sensitive of data transactions such as those related to the banking sectors are being conducted with simplistic swipes and hand gestures, which is indeed a step forward.

Must Read: 5 Major Factors That Will Influence The Mobile Apps Market In Future

3. Remote Working is the ‘IT’ Thing:

With the world becoming a global village in the modern era, remote work environments are gaining major popularity. You don’t always have to be available at your desk in order to get important stuff done. With remote connectivity options, any capable computer can become your personal work station through a set of applications and security protocols. Working parents often have to take care of their families as well as their work; working from home has become more of a necessity. This year is bringing in upgraded efforts towards the betterment of such facilities. Major Internet Service Providers are offering remote solutions to problems in real time. At&t and Comcast are notable names which prove to be particularly useful in this regard.

4. Video education is becoming widely popular:

With the rising credibility of famous portals like Khan Academy, video education is becoming widely popular. Reading through a certain piece of information might be more thorough but videos can cover the same thing in a quite smaller span of time along with a number of added benefits. For instance, videos generally incorporate interactive and interesting visual elements. On top of that, we humans have a certain part of our brain dedicated towards photo memory which tends to store images the way they are along with the content included in them.

5. Videos acting as introductory tools:

There are a wide number of websites popping up these years which open up with video tutorials regarding the various ins and outs and how to make the most out of the website. 2019 has seen a number of webmasters changing the layouts of their websites and incorporating video elements to boost their traffic and rankings. A simple call-to-action play button urges the audiences to get the entire layout in merely a minute so that the mood doesn’t dull and the message is conveyed.

6. Subscription services on the rise:

We have all heard of Netflix, right? There are a wide number of other portals including Netflix, which have given rise to monthly subscription services to facilitate their customers. A number of old players have included subscriptions to their offerings, as they have understood how convenient these can be for customers. The data trends clearly suggest that this year is observing even more people shifting towards subscription services as it helps them find tailored content along with the option to choose their payment plans.

7. Voice interfaces are taking over:

Bixby, Siri, and Alexa, we have all heard these names repeatedly especially in recent years. As you may have already guessed, all these are voice assistants, which are helping audiences be astonished and facilitated at the same instance. Developers across the globe have identified how consumers are shifting towards using their voice assistants and are therefore trying to offer better and more thorough functionality. 2019 is giving us upgraded versions of a number of prominent voice assistants such as Bixby and Alexa and their utility is ever evolving to the verge of where we just need to say something simple and complex solutions will be presented to us.

8. AI and machine learning have advanced:

Machine learning is the need of the hour as various devices read users trends and adapt the utilities accordingly. There is a reason after all behind the reinforcement of machine learning and advanced AI features in mobile devices by major companies like Huawei, Samsung, and Apple. They have identified that audiences don’t have enough time to go through each and every list to find objects that suit their interest. Therefore, if a machine or an application readily tailor an accurate list in response to what we love… voila! We have finally been understood!

9. Netflix might be facing competition:

We have seen how Netflix has taken over the world by storm in the past few years. This ever-rising popularity of Netflix and the dependency of users over it is a serious threat to a number of companies. Therefore, this year, a number of major corporations like DC and Marvel are planning to cease launching their exclusive shows over Netflix and come up with their very own version of streaming service to share in with the massive profit streams. It is a plan in progress as of yet, but by the end of this year, we might expect some major announcements in this domain.

10. Rising concerns regarding data security:

With the major data leaks over Facebook and a number of other portals in the previous year, the general public is getting more aware regarding their data security. People have started rising justified concerns, which is very healthy for an unbiased and unexploited system to function. We can also see a number of new forums opening up regarding these security issues. Not only that, the general spending of people towards anti malware software has also seen a rise over the course of the past few years.

These are just a few of the visible trends, associated with this year. Every year comes a number of secrets that unveil as time passes. Let’s keep our fingers crossed!

Author Bio:

 

 

 

Robert James is an MIS with a vast experience and research in tech and entertainment industries. He also likes to write in order to deliver the latest news regarding these industries and enlighten audiences regarding the various happenings. Robert recently covered a story on the Warner Bros CEO Tsujihara’s Scandal which generated major hype. Besides this, he indulges in MMA fighting in his leisure time.

Must Read: Top 5 technology trends in 2019 that will rule the future

How Machine Learning is helping business grow in market?

The emerging technologies have significantly helped the businesses to enhance their capabilities and achieve better results. Especially the futuristic technologies like AI (Artificial Intelligence) and ML (Machine Learning) have been offering many benefits to the progressive businesses. While still in their initial stage the ML and AI have already started proactively supporting the businesses in terms of saving time and efforts and increasing productivity. One of the major difference between the traditional technology and new age technology like ML and AI is that the former works as per the human instructions while the latter (ML, AI and others) enjoy an extended independence, need much less human intervention and can learn and evolve over the period of time to improve their performance. Today we will concentrate on Machine learning and discuss the various ways in which it has already started benefiting the businesses.



Machine Learning VS Artificial Intelligence – What is the difference?

Many people still have a notion that AI and ML is the same thing. However, if we will analyze deeply we will observe that there is a clear difference between the two. Let us know the definition of AI and ML and then talk about the differences:

• In simple words the concept and method of imparting human-like intelligence to the computers is known as artificial intelligence. It includes the aspects like recognizing speech, taking crucial decisions, advanced visual perception, logical language translation capabilities etc.
• Machine learning is a branch of AI that empowers the system to evolve with time by learning constantly out of its own experiences and adopting tailors its functionalities to deliver better output/benefits.

Also Read: Top 5 technology trends in 2019 that will rule the future

Here are the operational and key difference between Artificial Intelligence and Machine Learning:

• AI can work smartly to increase the opportunities of success while ML uses the data to learn from it and increase the accuracy of operations
• AI adopts the key qualities of natural intelligence to offer dynamic capabilities for solving complicated and tricky issues whereas ML enhances the overall machine performance for a specific task by utilizing the relevant data on that task.
• AI can learn to take independent decisions while ML offers capabilities to the machines to learn from the data??

Automating need-based solutions:

The progressive serious businesses are constantly seeking the precise ways to automate the specific parts of their operations by strategically implementing Machine Learning that will eventually help in focused development and purpose-specific implementation of ML thus stabilizing its position as a need-based solution.

• ML can help the insurance companies offer need-based dynamic suggestions to the targeted audience that auto updates with time-based on their current status information (age, health, income etc.) that precisely fits their contemporary requirements. It can increase conversion opportunities and also help clients with friendly insurance products.
• Instead of relying on the specific and static functionalities of ML, the companies can enjoy a better and improved functionality as their operations evolve in the future. It would be a great asset for the start-ups and growing businesses.

For instance, a company named Geico has integrated machine learning to enhance their production procedures with the help of Geico VA. The result is increased productivity and reduced time to market that translates to better business benefits.

Better environment for development of Machine Learning:

In the modern times the data capturing capabilities has been experiencing a keen growth. The computational power has developed manifolds to capture a massive volume of data from diverse media (audio, images, video etc.) and intelligently categorizing the same. It has offered a better option to the businesses to quickly store more data and further enhance its usefulness.

• The availability of high amount of quality data will also enhance the real-time efficiency of ML and increase its practical usage in day to day business operations while also ensuring its fast, healthy and sustainable evolution.

Better technology for supporting multiple analytical processes:

One of the major concerns of the businesses today is how to support the increasing workload of analytical processes that are required for developing the machine learning capabilities and offering real-time purpose specific benefits.

• Thanks to the innovations like Run time decision framework and analytics workbench the businesses are now technically capable to boost the development of machine learning, leverage best benefits out of analytical processing and take precise decisions.
• It will also help the professionals come up with innovative machine learning solutions that can be instantly used by the businesses to accelerate their efficiency.

Large scale deployment of Machine Learning:

The increase competency and pace of large scale ML deployment powered by latest developments in run time decision framework is another positive point that enhances the business value of machine learning.

It can help businesses in multiple ways:

• Efficiently entertaining multiple requests from diverse channels
• Prioritizing execution of tasks depending upon urgency, ease, and available bandwidth
• Better adoption of predictive models by choosing the best fit among multiple choices
• Helping business takes urgent decisions on critical matters in real time without compromising with logical accuracy
• Facebook’s re-targeting ads are excellent examples of ML’s importance in the field of marketing. Using the ML capabilities the Facebook displays the most relevant ads on users’ timeline based on the websites that they just browsed. It increases the conversion opportunities for the businesses.

Increased productivity and cost efficiency:

With the help of advanced learning capabilities the machines can dynamically increase there efficiency over a period of time by utilizing deep learning technology. It increases the cost efficiency by helping the businesses manufacture more products in less period of time.

• Additionally, it also saves the efforts and time of the production staff that they can utilize for other core objectives.
• It helps businesses to an enhance theory productivity increase the profitability by slashing costs and achieve a competitive market edge.

 

Conclusion:

Machine learning is an advanced technology that allows the machines to use the available data and instances for evolving and enhancing their performance with times. A good number of progressive companies have already adopted machine learning to augment their productivity and improve their performance over a period of time. In this blog, we have discussed various instances and capabilities of machine learning that are actively helping the businesses across the globe.

Must Read: Top 5 technology trends in 2019 that will rule the future