What is Artificial Intelligence?

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/

#KnowledgeBytes: Artificial Intelligence – Customer service Trends!

In this Imarticus Learning video, Jasjeet Kaur – Head, Western Region, explains how Artificial Intelligence acts as a game-changer in customer service in today’s world. She wonderfully explains to us with an example the fact that with Artificial Intelligence operations become faster, more effective, cheaper, yet more human.

Virtual assistants are no more a mere concept that we can only experience in Hollywood movies, but it has become a part of our daily lives today. Siri and Alexa are some of the most relatable examples of the rise of virtual assistants.

Jasjeet further elaborates on how the Internet of Things (IoT) will help the product companies to provide proactive service for high-end products. Robotic process automation reduces human efforts by overtaking the tasks learned through repetitive actions and performing them in a better way over a period of learning. Jasjeet tells us how companies can use Digital Interactions to transform their customer service.

It enables deeper interaction in the physical world without physical presence. Jasjeet says that all the above aspects lead to the emergence of super agents.

Check our complete #ImarticusPrograms playlist here: https://bit.ly/2JP52hM Subscribe to our channel to get video updates. Hit the subscribe button above.

Why Imarticus?

Imarticus Learning offers a comprehensive range of professional Financial Services and Analytics programs that are designed to cater to an aspiring group of professionals who want a tailored program on making them career ready. Our programs are driven by a constant need to be job relevant and stimulating, taking into consideration the dynamic nature of the Financial Services and Analytics market, and are taught by world-class professionals with specific domain expertise.

Headquartered in Mumbai, Imarticus has classroom and online delivery capabilities across India with dedicated centers located at Mumbai, Thane, Bangalore, Chennai, Pune, Hyderabad, Coimbatore, and Delhi. For more information, please write back to us at info@imarticus.org

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AI is Now Being Used in Beer Brewing!

AI is now being used in beer brewing -from creating unique beer recipes to adapting recipes as per customer feedback. AI is doing it all…

With the advent of the digital revolution, Artificial Intelligence (AI) has gained immense impetus in recent years. Today, everyone is connected to everything because of the growing importance of the Internet of Things. Right from the time, you wake up until the time you close your day, technology plays a key role in taking you forward.

Alexa and Siri have now become household names and no doubt, why “Her” was a blockbuster in the cinemas. AI and Machine Learning are here to make your work easier, and your life smoother. It is also brilliant to know how even breweries today are using AI to enhance their beer production.

Brewed with AI
As discussed earlier, digitization and technology have significantly impacted our lives across spectrums, and there are several examples of various companies that have started employing AI in their processes to serve their customers better. Breweries are nowhere behind in this race of digitization, so let us discuss a few examples of how they are using AI in order to enhance the experience of the consumers.

Intelligent X
Intelligent X is one of the best examples of how a platform employed AI to enhance their beer. It came up with the world’s first beer, which is brewed with Artificial Intelligence Course and advances itself progressively based on customer feedback. They use AI algorithms and machine learning to augment the recipe and adjust it in accordance with the preferences of the customers. The brewery offers four types of beer for the customers to choose from:

  • Black AI
  • Golden AI
  • Pale AI
  • Amber AI

In order to brew the perfect beer that pleases all your senses, all you need to do is sign up with IntelligentX, train their algorithm according to what appeals to your palate, and you are good to go. In addition to this, you can follow the URL link on your beer can and give your feedback so that they can create a beer you would like. These beers come in classy and minimally designed black cans that reflect their origin and give a feeling that what you are experiencing is the beer from the future.

Champion Brewing
Another example of a very intelligent deployment of AI in brewing beer is that of Champion Brewing. They used machine learning in the process of developing the perfect IPA. They took the big step by initially getting information regarding the best and the worst IPA selling companies to get an insight into how to go about the entire project. Based on the same, did they determine the algorithm of brewing the best IPA with their AI?

RoboBEER
An Australian research team found out that the form of a freshly poured beer affects how people enjoy it. Building on to this, they created RoboBEER, which is a robot that can pour a beer with such precision that can produce consistent foam, pour after pour. These researchers also made a video of how the RoboBEER poured the beer tracked the beer color, consistency, bubble size, and all the other attributes. They then showed the same videos to everyone who participated in the research in order to get seek their feedback and thoughts with regard to the beer’s quality along with its clarity.
Conclusively, this shows how AI has become the nascent yet a very preferred trend, which is even being followed by the breweries around the world. It has added an unusual turn to the way the perfectly brewed well-crafted beer makes its way to your glass. With the help of this ever-evolving technology, we can anticipate our favorite drinks to be made precisely in accordance with our preference only with the help of your smartphone.

By deriving minutest of the insights right from the foam of the beer till the yeast used in the same, companies these days are striving to deliver their best with the help of immense research and execution from the ideation derived from their research amalgamating it with AI and Machine Learning. Looking at the various examples, we can surely say that we are living in the future in the present.

For more information you can also visit – Imarticus Learning contact us through the Live Chat Support or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Bangalore, Delhi and Gurgaon.

How AI is Helping the Financial Sector Cover Regulatory and Compliance?

Synopsis

Artificial intelligence (AI) is here and is making waves in the financial industry. From sales management to compliance and protection against cybercrime, here is everything you need to know about AI 

On any given day, you as a consumer can carry out transactions online without having to worry about security and if your payment goes through or not. How is this possible?  From shopping online to overseas transfer, emerging tech such as Artificial Intelligence, Blockchain, Cloud has revolutionized the way the Financial industry works. In the past decade, Fintech has seen new dawn with many organizations heavily investing in Artificial Intelligence.

So, what is Artificial Intelligence? Simply put Artificial Intelligence courses are the ability of a machine to learn and process data for insights that impact the business.

It means that a machine is capable of learning on its own and arriving at solutions that can reduce cost and improve the efficiency of any business. In the financial sector, artificial intelligence is involved in every component today. From regulatory compliance to consumer insights, AI is changing the way the Fintech industry functions.

One of the most important aspects of the financial industry is regulatory compliance and cybersecurity. Another facet of this is sales management. As there is a shift in the way things work, it is important for the leaders of organizations to take stock of the benefits and consequences of deploying AI in their company.

Here are the top things that one must be prudent of while hailing in this new technology

Regulatory Compliance

Before Artificial Intelligence, the burden of compliance and authority rested with individuals and professionals who were trained in the field.  This also accounted for human errors, incorrect processing of data, and took a longer
duration of time. With AI, there is minimal human intervention when it comes to regulatory compliance and the machine also takes less time when it comes to analyzing the right data and arriving at a solution.

This will also impact the business drastically and reduce costs. In the financial sector, compliance is something that cannot be compromised on, and thereby use of AI will have a positive impact.

AI Pitfalls: The Reality of Implementing AI

There is no denying the rapid rise of AI. Since 2012, AI has become an almost essential part of every sector of business. 

In medical sectors, AI is making breakthroughs, be it precision surgery, making it safer to go under the knife or in banking, the AI interface has made transactions and customer care-a breeze to walk through, AI is even making its way into the F&B industry with automated smart stoves and microwaves.

Consider most tools you use on a day to day basis have AI, your smartphone now can be unlocked by facial recognition and biometric scanning, both are developments in AI. Your home security system has the same features. You can now enable smart home features using AI products like Alexa from Amazon.

The potential for AI in businesses too is immense, consider that your company can have an automated assistant to perform any task a person would have had to do in the past, this includes making appointments, sending out reminders for important dates and filing.

Artificial Intelligence can also be used for employee recruitment, simply enter specifics into your AI database and let the candidates be chosen for you in minutes. The same can be said of the research, no matter what business you run, you will need research and development models, AI voice search engines like Siri and Alexa in the workplace can streamline research time by providing ready solutions to specific problems.

There is a catch, however, while the potential and benefits of AI are immense, it is important for small businesses to understand that this tech is still in its infancy. Therefore, pitfalls will follow. One of the most common pitfalls for companies looking to integrate or implement AI in their offices is that they are caught up in the hype of the potential of AI rather than what it can currently do for you now.

Another major pitfall to consider when looking at AI for companies is AI management requires an adequate IT team who are knowledgeable in the field, since the field itself is in its infancy, finding adequate management help can be tricky.

One major pitfall to keep in mind is that while AI can reduce costs for operations of a business, it is essential that you don’t depend on AI for all your organization’s solutions, AI has not reached a level of customization where it can solve your company’s unique problems with general solutions. One more major pitfall of using AI in the office is that it can create insecurities amongst the employees, AI still carries an air of mystery which can cause insecurities to the human element in the office, thus creating an unstable working environment.

In conclusion, it is important to remember that AI has immense growth potential and has the ability to streamline your business for the better. It also is still growing including the skill required to manage it. The limitations of AI for your organization specifically and the impact of AI on your employees are all pitfalls you must consider before implementing AI on your company or office specifically.

So before you integrate that AI system to your business, understand what AI can and cannot do for you and your company rather than what it may be able to do in the future due to its potential.
References
https://dzone.com/articles/4-artificial-intelligence-pitfalls
https://www.artificial-intelligence.blog/news/pitfalls-of-artificial-intelligence
https://www.forbes.com/sites/forbeschicagocouncil/2018/06/15/five-ways-ai-can-help-small-businesses/#4d2cead310d7

AI its usage to manage regulatory compliance in banking Fin Services!

A recent study revealed that the estimated annual cost of regulatory compliance and governance software spend by our banks is around $70 billion. Bank attorneys, loan officers, and paralegals spend thousands of hours into loan agreements, regulatory compliance filings, and other contracts to see if they comply with the law. Artificial Intelligence or AI has found its latest application in this significant issue among bankers. We are looking at a whopping 30% reduction in the total cost with this AI application.

How AI Helps…

The AI-based systems are now being implemented to document verification. They have been successfully tested to interpret regulatory meaning, comprehend the required action, and codify the compliance rules. The Contract Intelligence (COIN) programme developed by JPMorgan Chase is an example of the early adoption of AI technology. Through this system, the company can process loan documents that would cost around 360,000 working hours.

Some other areas of compliance services where AI can offer more safety are the following.

  • Know Your Customer – It’s already clear that AI systems can analyze a vast amount of data and scrape the web to find patterns. This ability can be used to strengthen the KYC processes. Pattern recognition techniques paired with unstructured text analysis, these systems can identify risk-prone customers.
  • Money Laundering Detection – Using AI, monitoring reports and regulatory alerts can be evaluated as risk indicators. The accounts with more significant exposure to these indicators can be analyzed further. It reduces the complexity of the existing Anti Money Laundering systems.
  • Detection of Rogue Employees – It is possible to find the employees who generate a fake account using AI. Reports using the same e-mail or IP address can easily be tracked down by AI.
  • Trade Monitoring – AI can learn about the trader’s behavior and personality. This will lead to more precise predictions about suspicious trading. The time lost due to false alarms can be saved.

More and more application of AI in financial regulatory compliance can be expected with the progress in the algorithmic machine learning models.

Challenges In Implementing AI

Regardless of the immense pros, few issues are slowing down the AI implementation. The problem of rectifying information processed by AI is considered one of the biggest. We know that often our internet can be riddled with fake news and misinformation. If such information gets to the AI and influences its decision, the result would be terrible.

The efficiency offered by AI in decision making is tremendous but, it also takes the professionals away from this decision making process. It may create an opacity for the regulators to see if the proper procedure is being followed for business practices such as suspicious activity reporting.

Despite these challenges, the potential offered by the AI is attracting the financial Institutes to try it. With researches showing large signs of progress day by day, we can expect AI to decode these challenges sooner. Shortly, the AI will undoubtedly replace the legacy system and reduce massive costs incorporated with the current system.