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Tag: artificial intelligence career

Artificial Intelligence is Modernizing Restaurant Industry

Posted on by Imarticus Learning

John McCarthy coined the term ‘Artificial Intelligence’ more than 6 decades ago. We have been dreaming of a technology-enabled future for decades and it is turning into reality now. Artificial Intelligence is the programming of machines to imitate human intelligence and their actions. It helps in minimizing human efforts along with improving speed, accuracy, and effectiveness.

Today, there are huge numbers of data created in almost every sector. There is a need for Advanced Algorithms, huge data management, storage, analysis, and several other complex tasks. Artificial Intelligence and machine learning training is gaining popularity due to this increasing need for accuracy, precision, and effectiveness.

It’s interesting how Artificial Intelligence has grown over a small period in several sectors. Education, Transportation, Sports, Media, Marketing, Banking and Finance, and so on goes the list of industries that use Artificial Intelligence.

How Artificial Intelligence Helps in the Restaurant industry

Below are a few examples of the application of Artificial Intelligence in the Restaurant Industry.

Forecast Sales. People indeed make orders based on a specific climate. You would not go for a hot cup of cocoa on a hot humid day. You would go for something that is cooler. The climate makes an impact on the food and beverages sold by an eatery. AI with Machine Learning helps the restaurant to project their sales based on the orders made, current weather conditions, and past sales performance.

Scheduling Capabilities. Predictive Scheduling is fundamental these days. Staffs need to be informed in advance of their schedules, whom to be switched with, shifts, etc. Doing this manually can get quite tiresome for the manager. Artificial Intelligence provides help with this kind of function. It can perform a lot of scheduling tasks in an efficient time that would normally take up a lot of human effort and time.

Smart Virtual Assistant. Virtual Assistants and related technologies have been gradually growing over the past few years. It gathers various information related to the restaurant and presents it to the user when they search about it. Based on the information customers pick a suitable restaurant. Therefore they play a direct role in the growth and sales of the restaurant.

Robots. Is it possible? Yes, definitely. It won’t be a while before we may actually be delivered food from robots. A restaurant chain in Pasadena named Caliburger was one of the firsts to bring in a robot to their kitchen. Though it is yet to come into effect in India, it could take the restaurant sector to a whole new level of functioning.

AI-Driven Kiosks reduce waiting time and improve the eatery experience for customers. These systems act as POS systems and make the ordering process simpler for the customers.

Inventory and Purchasing. Pos systems integrated with Inventory and Purchasing can improve efficiency and helps in reducing losses. It helps to track and order based on sales, menus, and recipes. One can cross-verify between the actual food preparation and the portion of food left, thereby helping to find out sources of waste and theft in your kitchen. AI-powered restaurant management solutions ensure the right supply of materials and help to remove one more tedious work from your list.

Mapping And Management Tools. Delivery is gaining popularity these days. It is important to optimize the delivery routes for quick, efficient, and quality food delivery. Management Tools helps to keep a check on the drivers’ progress, guide on routes and on how to save miles and time, and keeping the customers in the journey throughout.

Self Serve Options powered by Artificial Intelligence could work wonders in the Restaurant Sector. Though it has not come into effect in India, self-serve kiosks could speed up the services without actually sacrificing the human touch. Customers can browse through menus, make orders, and make payments online without having to stand in long queues. This helps in improving customer satisfaction.

Artificial Intelligence is changing our lives in more ways than we know in this 21st century. So is Artificial Intelligence helping to reshape the Restaurant Industry. The AI-powered tech advancements these days are critical in boosting sales and increasing customer satisfaction to a much higher level. Since most individuals have already embraced digital technologies, it would only make it smarter and easier to inculcate Artificial Intelligence in the Restaurant Industry.

How Is Ethical AI Different From Fair AI?

Posted on by Imarticus Learning

Artificial Intelligence is turning out to be an integral part of every part of businesses and human lives at a surprisingly faster pace. As much as it is transforming lives and processing easier, it comes with its share of drawbacks.

The topic here is the ethical and fair side of AI that has already proven to be a problem even for the big giants like Amazon and Apple. So the question here is how to rectify the problem without compromising the usefulness of AI.

In order to solve the issue, it is important to understand the difference between ethical AI and fair AI. Although they are not much different from each other, knowing the thin thread that separates them is crucial.

The dilemma of ethical AI

While AI  algorithms help replace several tasks which usually the human mind accomplishes, there are several pressing issues regarding the ethical outcomes it causes. Both  AI and Machine learning requires data that is fed manually, there is still no definite criteria on what qualifies as non-biased that leads to an ethical result.

If the algorithm leads to an unwanted advantage for anyone while someone else ends up on the receiving end it is considered unethical. The problem is defining what are ethical terms and what constitutes unethical. To solve this issue, leading brands have slowed down their progress with regard to the AI development in their business end.

An ethical AI will be the one that can accomplish ethical prediction and quality outcomes without impacting humans in one way or the other.

When is it a fair AI?

When it comes to fairness in AI predictions and outcomes, it is all about perceptions. A fair decision to one might appear unfair to another. So it is not easy to judge the AI program as unfair or fair.

While there are several issues with the unfair outcome of AI programs, what it really needs is a smarter and sensible approach.

  • It needs cooperation between humans and the AI system to evaluate and judge fairness. The employees need to be more intuitive and apply more common sense to do the job well.
  • As humane as AI seems to be it needs a bit more humanity than already has. Here, it is the company’s choices and values that can be used to determine the fairness in the AI system under development or use.
  • While creating the algorithms even the smallest factor and the most unimportant aspect should also be considered to create a more effective filter. This approach prevents a wider range of unethical and unfair decisions by the AI system.

The future of ethical AI

Owing to the past mistakes in the field of AI, many of the Artificial Intelligence training courses are trying to include a moral side in their curriculum. Since most of the unfair decisions by the machine is due to the social and economical perception by the humans, it needs correction right from the root level.

difference between ethical AI and fair AIIn order to pursue an Artificial Intelligence career, one must start thinking ethically and be able to decide between what is fair and unfair for the right matters. This is where critical thinking comes in handy.

Though it is difficult to create a Fair AI, it is easier with Ethical AI as long as it does not cause a clear bias with many factors in consideration.

Conclusion

What it shows is that machines can only impersonate humans and they are yet to reach that feat emotionally and for logical thinking capability. For them to reach that point, humans must change their views, perceptions, and work ethics.

How Artificial Intelligence Training Helps to Boost The Fashion and Advertising Agencies?

Posted on by Imarticus Learning

In a fast progressing world such as ours, the need for an efficient tool to speed up the process of our work has increased. With that demand came the answer to all our problems, Artificial intelligence (also known as AI).

At this moment in time AI is being used across almost all major industries. A large number of establishments not using AI face being left behind in our extremely competitive economic race.

In this article, we will be shedding light on its advantages in the fashion and advertising industries.

AI and the fashion industry:

AI has established its role in the fashion industry quite firmly. Fashion retailers are going bankrupt due to the lack of importance given to AI. Due to this high demand, each year, the total expenditure on AI in the fashion industry is estimated to reach a whopping $7.3 billion by the end of 2020.

In the fashion industry, where only the top 20% of global brands are considered to be profitable, the need for a tool to maintain their relevancy is immense. It allows easy access to large chunks of data, customer personalization, and various other services which the fashion companies will not be feasible to run without.

AI is used mainly in three areas:

  1. Apparel design: Due to its ability to collect intricately detailed data sets, fashion companies are using this technology to better satisfy and understand customer needs and also be able to design better clothing from feedback. Zalando which is a German-based fashion platform has been designing its clothes using AI which picks up information depending on a wide set of customer choices which range from the material of clothing to clothing style and color.
  2. Making manufacturing easy: Fashion trends are fast-changing and there is a need for the pattern of change to be identified. AI is able to do this with ease while also being able to supply the apparel to shelves much faster than a normal retailer. Taking advantage of this, companies can confidently provide immediate service thus gratifying their customers based on their demands and needs. Examples of companies using this are brands such as Zara, TopShop, and H&M.
  3. Selling merchandise virtually: AI has the ability to break down the walls between the online and in-store shopping experience. This is being done through augmented and virtual reality technology, allowing customers to access apparel online using AR. Certain brands like Tommy Hilfiger are using virtual reality to create virtual pop-up retail stores.

Now you may ask how this works. AI is largely used in the fashion industry in the form of chatbots using which the fashion brand gathers information about the customer’s needs and desires. It has become an indispensable tool and is able to identify the customers fast changing desires.

AI and the Advertising industry:

AI plays a very important role in the advertising industry as well. It is able to identify elements that will resonate with the viewers, creating ads without any human involvement. It is also able to perform audience targeting and ad buying. Major platforms are using AI, taking advantage of its ability to determine if viewers would click on the ad they are being presented with.

It is able to intelligently identify and segment audiences, build ad creative, test variations, improve performance and also optimize spend. It has proven to be advantageous to digital advertising and the careers of marketing experts who plan and run ad companies.

Advertising at scale is something that is tricky and impossible for humans to perform and AI comes in quite handy here. The technology has the unique ability to detect patterns and predict what changes need to be made to a campaign to improve it against its specific KPI. This does not take days, hours, or even minutes but can be done in a span of just a few seconds.

The advantages of AI in advertising are hence as follows:

  1.  Increasing revenue through analyzing data at scale
  2. Reducing costs by acting on data faster and automatically
  3. Creating a massive competitive advantage

It plays a key role in real-time advertising, buying, and selling. This is most popularly done with the help of third-party apps like Facebook, Instagram, and Snapchat. These ads are suggested through AI looking at the links that are promoted by the user.

Taking all these facts into consideration it is pretty clear that a career in AI, especially in our day and age has huge scope and its benefits are undeniable! AI is transforming the fashion and the advertising industry as well as many other industries and thus considering artificial intelligence training at this point is a very smart thing to do!

Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati, and Imarticus Learning

Posted on by Imarticus Learning

Machine learning is powered by AI. With ML, we can power programs that are easily updated and modified to adapt to new environments and tasks- resulting in quick progress on difficult projects. ML and AI are almost synonymously used in tandem when it comes to the latest tech trends. And, AI has disrupted many industries forever – like SaaS, Manufacturing, Defense, Analytics, public sector, and so on.

If you learn machine learning through the best Machine Learning & AI course, you are likely on a fast and high-growth career trajectory.

Here is why!

#1. ML & AI Are Skills of the Future

Skills in ML can affect your long-term employment prospects because the field is projected to experience rapid growth.

With the emergence of advanced technologies like the Internet of Things (IoT), Machine Learning is experiencing a certain surge in demand and popularity.

If you learn machine learning by taking up data science certifications, there is an increase in the probability that you will have better job prospects as compared to someone without ML skills.

#2. Solve Real-World Problems

There is a lot of talk about how AI will replace jobs, but the truth is it will create new job opportunities. As an ML engineer, for instance, you get to work on projects that have a big impact in the real world and lead to business solutions that are meaningful.

#3. Versatile Growth Opportunities in the Data Sciences

Machine learning and artificial intelligence (ML &AI) skills are beneficial to a data science career. Both positions give you the opportunity to let your knowledge of both fields expand. Switching back and forth between roles can quickly enable you to become an invaluable resource in today’s rapidly changing world.

You want to have an advantage as early as possible so that you can learn about solving new and undiscovered problems. When the time comes, these skills will be in great demand and allow you to secure a career path on the rise.

What does a growth path in this domain look like?

Typically, a machine learning engineering career path begins with being a Machine Learning engineer. Machine learning engineers develop applications that automate common tasks previously done by humans and take care of the repetitive ones for humans to do efficiently without error.

When you earn a promotion as an ML engineer, you are then promoted to be an ML architect! Their responsibility is developing and designing prototypes for applications that need development.

There are a few other roles in the field which one could take on as well. These include ML data scientists, ML software engineers, senior software architects, and more.

New tech arenas keep developing into this space. So, keep your interest, skills, and industry demands aligned for the best growth!

How to make a successful career in AI & ML?

Want to learn machine learning with the best Machine Learning & AI course?

certification in Artificial Intelligence and Machine Learning

Imarticus brings to you the class-leading AI & ML certification in collaboration with E&ICT Academy of IIT-Guwahati.

Our highly-rated program has fostered hundreds of successful professionals serving the industry worldwide. Your chance to be a part of this prestigious career trek begins with us.

Enroll with Imarticus now!

Jobs of The Future: Artificial Intelligence and Machine Learning

Posted on by Imarticus Learning

COVID-19 has inverted the ways we lived. The jolts can be felt across workplaces, particularly where it has forced organizations to reduce activities, including leisure, restaurants, oil & gas, and airlines. Throughout COVID-19, the technology industry remains strong. The pandemic spurred technological innovation and enabled many to continue work despite lockdowns & other pandemic mitigation measures.

Benefits of AI?

  • Automation: AI gives a better understanding of machines to interpret a situation or perform necessary action. Tasks can be automated with minor human intervention through AI/ML. While automation takes place, the roles requiring human attention automatically become more productive with more time to focus on them.
  • Speed: AI is efficient in expediting much work when compared to humans. AI lets us complete tasks flexibly before deadlines. This reduces human labor & provides great speed & efficiency.
  • Accuracy: AI eliminates maximum chances of error. The machine always acts according to a fixed AI algorithm; there are fewer errors in every given scenario. In short, AI defines new limits of accuracy & precision with lesser risks.
  • Exploration: AI has helped to discover many new sites, for example, volcanic sites, ocean beds, etc. Humans being vulnerable to these sites, can’t reach and survive these scenarios. Robots are meant to go to these places and collect data.
  • Data Collection & Analysis: Data analytics is the future technology in today’s business world. Industries & businesses analyze valuable chunks of data & extract helpful information.

Applications of AI?

Artificial Intelligence and Machine Learning courses in IndiaAI is applicable in every conceivable field & recent advancements are increasing the relevance of AI in every sphere. Here are the top applications of AI:

  • Speech Recognition: AI allows us to convert spoken words into digital content. Speech recognition has various uses like voice-enabled messaging, content writing, voice-controlled remotes, & appliances. Speech recognition is also used for authorization & validation.
  • Natural Language Processing: NLP enables a machine to understand the human text. Virtual assistants like Siri, Google Assistant, Alexa, are all an example of chatbots working on the principle of NLP.
  • Stock Trading: There are AI platforms that allow automated stock trading. With the algorithms, these bots understand the fluctuations in the stock market & predict high-return stocks with more accuracy. The future scope of AI/ML in the finance sector is fuelled up due to the increasing craze for cryptocurrency.
  • Robots: Besides developing intelligent robots, AI has created robots that assist humans with routine tasks like cleaning, gardening, serving, etc.

Explore Careers in Artificial Intelligence with Imarticus Learning:

Freshers need to realize their competencies & acquire skills for AI roles with chances of upward mobility in career. The future scope of Artificial Intelligence is increasing due to new job roles & advancements in the AI sector. 42% of the IT workforce in India will require upskilling or reskilling by 2025. Imarticus Learning offers artificial intelligence and machine learning courses and machine learning certification courses to upskilling & and stay relevant.

The program builds a strong foundation of Data Science concepts. Industry experts will help you learn the practical implementation of Machine Learning, Deep Learning, and AI techniques through real-world projects from diverse industries. The 9-month extensive program will help you prepare for the Data Analyst, Data Scientist, Machine Learning Engineer, and AI Engineer roles.

This state-of-the-art Artificial Intelligence and Machine Learning Certification Course aim to let students learn machine learning & prepare for future jobs.

For further details, contact us through the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

What is Artificial Intelligence?

Posted on by Imarticus Learning

You don’t have to be a tech geek to have heard of the term Artificial Intelligence (AI). There are many articles that even state that AI will take over the world and in a way, AI has been a valuable tool in the business market. So, the question is: What is AI?

Artificial Intelligence in a nutshell:

There are many artificial intelligence tutorials on the internet to learn about this concept. In a few words, AI refers to a machine, especially a computer, doing the work of human intelligence. Instead of using humans to perform tasks like analyzing data, speech recognition, and more, now machines are equipped to do the same tasks using a couple of algorithms.

Artificial Intelligence courseIn an artificial intelligence tutorial, you will learn the basics of AI, its applications, and how it can be used to make an otherwise tedious process simple.

Many corporate giants like Google, Apple, Facebook use AI to constantly improve their services and collect valuable data.

Artificial intelligence careers are promising in the current market as they have a wide range of applications in different fields. Some of the major artificial intelligence careers include:

  • Big Data Engineer
  • Business Intelligence Developer
  • Data Scientist
  • Machine Learning Engineer
  • AI Data Analyst

There are many other fields and roles that you can apply for after receiving your course training in all things AI.

What is Data Science?

One of the top career opportunities in AI is as a Data Scientist. Let us explain this concept in short:

Data science courses include programming skills, mathematics, statistics, domain expertise, and more. This is to understand the data collected from AI and derive meaningful insights. These insights are then turned over to decision-makers to plan out business goals.

If you’re hearing phrases like Big Data, Machine Learning, Business Intelligence, and others, chances are they are referring to a data science course. Taking up a data science course can guarantee a lucrative job opportunity.

There are many data science courses in India. From an 11-month crash course to a 3-year diploma, there are many options you can look into. You can research the best data science courses in India to find the top institutions recommended for you.

Business Analytics Courses

While the job of a data scientist is to derive meaningful insights from the data, it is the job of a Business Analyst to turn them into tangible business decisions. This is another opportunity that ranks high on the pay scale in the AI industry. All you need to do is take up a business analytics course to gain knowledge on the topic and land a job in the relevant field.

Related Article:

https://imarticus.org/does-machine-learning-excite-you-check-out-the-imarticus-data-science-course/

How Can AI Help to Enhance Conversational Business Intelligence?

Posted on by Imarticus Learning

Data, Analytics, Insights are the three key terms connected with the success of any organization. Well-curated and holistic customer data can take businesses to a whole new level.

It is the Business Intelligence Dashboard that keeps a record of KPIs, metrics, and various other data related to the organization, departments, or a specific process. While Business Intelligence Dashboards can provide a whole lot of information, it may require a considerable amount of time and effort to access the data.

Consider a scenario where a manager needs the sales of the Southern Territory for the past quarter. He also needs the list of jobs currently running on the organization’s server for new recruitments. All the information he needs will be available in the organizational Business Intelligence dashboard. But to access the specific data, he has to undergo several processes.

He has to log in for each task, set the parameters, range, format, etc, which is time-consuming and also tedious. This is where the AI-enhanced Conversational Business Intelligence comes in handy.

In today’s dynamic and competitive market, Conversational Business Intelligence powered by Artificial Intelligence has a unique role. It helps the organization to improve customer experience, involves minimal business decision-making, and also helps in offering more personalized services. It provides a whole new approach to your daily business tasks.

AI-enhanced Conversational Business Intelligence is an intelligent interface between the dashboards and the users. It not only helps in gathering the specific information at a rapid speed but makes use of a structured and user-friendly format to present the data.

It delivers quick and exact responses. Conversational Business Intelligence is beneficial both at the customer end and also for the employees within the organization. It helps to receive crucial data and insights about the customers by simplifying and speeding up the entire process.

The employees can access data without worrying about extra passwords, another application, or new software. Conversational Business Intelligence enhanced by Artificial Intelligent is easy to collaborate with any platform of your choice.

Let’s look at another instance where Artificial Intelligence enhanced conversational business intelligence comes to your help. Using Google Analytics, you get valuable insights related to your customers such as what page they are viewing or how frequently they have visited a page of your site, etc.

But what it does not answer is WHY that specific customer revisits a page, the pricing page for instance, and does not continue with the purchase or opt for a trial option as mentioned on the page.

There could be several reasons stopping the customer from making the purchase. He could be hesitating because the page does not provide enough details to convince him, or he could be confused about the purpose of the product, or he could be worried about the delivery of the product, etc. However, the reasons are unknown.

This is where the AI-enhanced conversational business intelligence comes to your rescue. The customer can now communicate their problems, to a system mimicking human intelligence, without actually having to talk to the manager or owner of the site in person and can clarify all his doubts regarding the specific product or page instantly.

Why a career in Artificial Intelligence?

Artificial Intelligence trainingArtificial Intelligence in Business Intelligence makes use of computer systems to mimic the various abilities of human intelligence such as reasoning, learning, understanding, communication, perception, judgment, and much more.

With the fast-growing businesses and a huge number of customers, the data generated today is much more than what one can absorb or interpret.

With this kind of data, it can get really difficult for human minds to make complex decisions. This is why Artificial Intelligence is said to be the future of all complex decision-making. Therefore, an Artificial Intelligence career can provide endless job opportunities.

Artificial Intelligence in Fintech: Understanding Robo-advisors Adoption Among Customers

Posted on by Imarticus Learning

The influence of Artificial Intelligence (AI) and its application in various industries have brought about a positive outlook on how operations are done in many sectors. In direct contrast to traditional methods, AI is making processes more smooth, beneficial to businesses by reducing overhead costs on labor and human error.

AI in financial technology (Fintech) has also seen vast applications and not just in banking and financial management but also in catering to the advisory portion of it. With AI in the mix, Fintech companies can now offer customers 24/7 support along with and reduce operational fees levied for their services.

Fintech Courses in India

Fintech isn’t just for financial institutions but also for businesses that employ financial services as part of their operations. Thus, despite the field of operations, fintech is useful in all businesses to make the process automated and smooth. Thus, many fintech startups are seeing rapid growth in the field.

Fintech courses in India have seen great exposure as the applications of this course don’t just stop at giving businesses backend solutions but also make customer-facing services smoother. Wealth management, better banking and investment management services, and more, this field has financial technology courses that give students a chance to get into great positions in the field.

Some of the courses that rank high in India include:

  • Data Science Analysis
  • Data Science Visualization
  • Artificial Intelligence in Fintech
  • Machine Learning in Fintech
  • Wealthtech
  • Robo-advisors and their applications
  • Cyber Security and more

Adoption of Robo-Advisors Among Customers

The scope of this financial technology course studies the application and adoption of Robo-advisors in the banking and investment sector. Businesses including financial institutions save a lot of costs involved in manpower and support by adopting Robo-advisors in their business to deal with customer-facing queries.

With this course, you understand the challenges involved in AI in financial services, the history of Robo-advisors and customer feedback on them, and measures involved in the successful implementation of Robo-advisors for business.

As with any new innovation, customers and even businesses are slow to adapt and test the use case of Robo-advisors. However, the course is aimed at understanding user behavior and how to overcome traditional beliefs involved in its implementation.

Careers in Fintech

There is no doubt that fintech has brought about a huge change in financial services. It is not just about the digitalization of banking and investment services but also includes cryptocurrencies, blockchain management, and more.

The prospects of a career in fintech have high demand. Fintech is the upcoming innovation that has led many financial products and their management smoother and more profitable for businesses. Entry into one of the fintech companies requires a course or a degree in financial technology and the knowledge of AI, machine learning, and its applications.

As a fintech student, you can push your career path as a data analyst, blockchain developer, cybersecurity specialist, mobile app development, and other positions. Many organizations are looking forward to hiring candidates with the right skills to help them develop the necessary IT infrastructure or monitor and analyze data secured by AI functions.

Working in a fintech company has a lot of benefits as AI in finance is a disruptive force taking over several operations in the financial sector. It can soon replace many traditional methods of banking, investment, and handling financial services. The growth in your career and the monetary benefits are worth pursuing a course in fintech.

Why Artificial Intelligence is Invaluable for Weather Forecasting and Disaster Prediction

Posted on by Imarticus Learning

For most people, weather forecasts are simply indicators of whether they need to carry an umbrella or throw on a coat when they go outside. However, for many industries and types of individuals, weather changes and patterns have a direct impact on their lives and livelihoods.

Agriculture, for example, benefits from accurate weather forecasting because farmers can make better planting and harvesting decisions. For governments, weather forecasts factor in their budget plans and disaster relief fund allotments. Businesses that rely on clear weather (or rough weather) depend on weather forecasts to drive several of their operational processes.

From all this, it is easy to gather that accurate weather and disaster forecasting carries much more weight than we think. Artificial intelligence augments the accuracy and reliability of weather forecasting, especially given that so many details fluctuate every day and with every geographical location. It is a great fit, given the volume of data is nigh impossible to sift through with manual labor alone.

In short, the future of artificial intelligence will also see its increasing use in the weather and natural disaster forecasting domains. Here are  a few more reasons why:

  • Managing several sources of weather data

There are currently more than one thousand weather satellites orbiting the  Earth, each sending back weather data dumps to various collection points. These data dumps are a mix of information about temperatures, cloud patterns, winds, and pollution levels. Then there are thousands of government and private weather stations around the world, each conducting their own real-time research on weather and climate.  It is nearly impossible to sift through all this data manually, but AI algorithms can do it in a matter of hours.

  • Sifting through multiple data categories

Suffice to say that the amount of data generated from satellites and personal weather stations is too much to fathom, and impossible for humans to sift through. However, Artificial Intelligence training can be applied to segregate and classify data from dumps, as well as to pull out key insights for analysis. This is a preliminary process in the weather prediction model, wherein AI segregates data based on indicators, flags significant shifts or patterns, and keeps data classified such that predictions are made as accurately and as scientifically as possible.

  • Preparing for potential disasters

Beyond real-time predictions, AI is also used to identify patterns and prepare for natural disasters in advance, off the back of previous circumstances. It may also split this data between geographies, allowing disaster management teams to evaluate which areas will be hit the hardest and prepare for that. This data is also invaluable for civil engineering teams, architectural firms, and city planning teams who need to take weather into account when mapping out residential and commercial areas.

  • Sending out warnings

Apart from predicting natural disasters, AI can also be leveraged to send out warnings to potential danger zones. This is invaluable when it comes to saving human and animal lives and generally preparing areas for the worse. Warnings can be sent out through media alerts, push notifications, and citizen broadcasts; whatever the method of delivery, AI is vital to sending such notices out in time and to the right people to curb panic and facilitate seamless planning.

Artificial Intelligence Training for Weather Forecasting

Weather forecasting teams and companies need skilled AI scientists and engineers to apply theory to practice in real-time. They need AI professionals who can create automated setups to free human minds for higher-order thinking; they also need pros who are fast on their feet and adept at creative problem-solving.

Using AI for weather forecasting is a whole new ball game – one on which many lives depend.

How Machine Learning is Changing Identity Theft Detection?

Posted on by Imarticus Learning

 

Debilitating data breaches and identity theft scenarios have left several high-profile firms across the globe scrambling to recover losses. In 2018 alone, in the US, over $1.48 billion worth of losses occurred, after 1.4 million fraud reports1. Of these reports, identity theft was a significant defining factor. Businesses and corporates alike are turning to machine learning and Artificial Intelligence (AI) in general for help. Current employees are also being upskilled for an artificial intelligence career through machine learning courses in order to prep for the future of machine learning.

Machine learning has already permeated everyday lives, from online recommendations on your favorite streaming site to self-drive cars that have awed the masses. When it comes to identity theft detection, machine learning has so much potential– especially since there are larger players and higher factors at stake.

Here are some ways in which AI and machine learning are being leveraged to detect, reduce and prevent identity theft:

Authentication Tests

With machine learning, identity documents including the likes of passports, drivers’ licenses, and PAN cards are scanned and cross-verified with an unseen database in real-time. An additional set of authentication tests can usurp theft to some extent– the use of biometrics and facial recognition being some of the more used ML-based tests. Other examples of authentication tests include microprint tests, OCR-barcode-magnetic strip cross-verification, and paper-and-ink validation2.

Real-Time Decision Making

Machine learning training has the power to operationalize and automate the process of data analytics, especially tasks that are mundane or prone to human error. Beyond speeding up the process of identity theft detection, machine learning enables real-time decision making to stop theft in its tracks or sound an alert in case of a potential threat. This is a boon for businesses both large and small who cannot afford to waste valuable human resources on mundane tasks. By detecting identity theft at speeds hitherto unmatched, machine learning allows analysts to make spot decisions before any damage is done.

Pattern Identification

An added benefit of using machine learning to revolutionize identity theft detection is pattern recognition. Since any machine learning algorithm is wired to a database with tonnes of data, these algorithms can scan through all the information available over the years to predict future threats and identify the source and patterns so that preventive measures can be taken in advance. This is beneficial in that it creates links between individual theft cases, allowing analysts to better assess what the best plan of action is in response.

Dataset Scaling

The more data that’s collected, the better machine learning algorithms are trained for a variety of situations. Unlike many other scenarios where lots of data mean more complexity, a wider database allows machine learning algorithms to be scaled and adapted as required. It also allows them to grow more accurate with every addition, make comparisons and identify genuine and fraud transactions in an instant– a true step up from the days of human involvement. However, a caveat– in training stages, it is crucial that analysts be monitoring the process because if the machine goes over an undetected fraud without flagging it, chances are it’ll learn to ignore that type of fraud in the future, opening up a big sinkhole in the system.

The final word

Machine learning is revolutionary in preventing billions of dollars being lost in fraud, theft and data recovery. Firms are increasingly allocating a huge chunk of their budget towards sound ML-based security systems– a testament to just how revolutionary the technology is in identity theft detection.