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Day: August 18, 2021

Engineering Applications of Artificial Intelligence

Posted on by Imarticus Learning

Artificial Intelligence (AI) is now a commonly heard phrase. It has certainly captured the imagination of people owing to use of robots in movies and popular characters like Optimus Prime in The Transformers. AI is a combination of various branches of knowledge, intuition and skill-sets. The harder aspect is giving it the decision making and moral compass of humans. But we are inching closer.

AI is now being interwoven as an intricate part of standard machinery in various fields and has far-reaching industrial application than one can imagine.
The common fear is that AI will take over human jobs but in reality, it will dispose of the extra time spent in organizing and “hygiene” aspects of a job, like maintaining logs, cleaning workspaces, repetitive tasks which can be coded easily. It will leave humans more time and brain time to think over more complex aspects of engineering and design.
Also Read : How is Artificial Intelligence Transforming Healthcare
artificial intelligence
AI has become the new input in every aspect of daily things. Let us take a few examples.

Consumer Side

Take the engineering of a smartphone which uses voice commands to function and operate. Products like Amazon Echo, Google Mini and many other voices operated devices and apps are becoming the rage. There are products like Philip Hue which can work on voice and mood sensors to change the lighting.

Selling & Marketing

Use of AI chatbots is another new aspect. Chatbots are becoming the newest inclusion in website technology to increase the range of customer interactions. There are new companies which can enhance the customer’s interactive experience with the company personnel by giving a cue to the service representative on the tone and mood of the client along with previous experiences and their reactions then. This will give a holistic idea to the representative on how to approach and handle the client.

Automotive Intelligence used in Medical

Iprova, a Swiss technology company has come up with AI-based inputs as a means to their R&D. Instead of hiring specialist in each field for solving a problem, it has devised AI as a means to combined intelligence to pick up data points in an activity that can be useful in other areas as well. For example, their progress in autonomous vehicle technology was able to use the functions of machine learning algorithms. This algorithm understood how advanced sensors built into an autonomous vehicle could be used to take measurements from its human passenger.

These measurements could be easily taken by applying controlled and prescribed force in the vehicle causing specific movement of the passenger. All this would give a log of various health checks – core body balance, body temperature and responses to certain stimuli that could be used in advance to signal or denote various ailments.

Manufacturing and Industrial Use

Applications such as cloud computing, Machine Learning combined with Big Data are all contributing to the smart and intelligent worker in the form of a bot which can do no wrong. Industrial lines of work such as oil rigs, heavy construction and other projects are making use of data-driven technology which signals and indicates real-time issues that can reduce breakdown, reduce the project timelines and cost overruns.

It also helps in precision tooling.
One can see the ubiquitous nature of Artificial Intelligence in everything around us. It will be no surprise that we see repetitive tasks being done by AI-based machines all around the world. For an engineer on the field, the AI bot will be the second brain he can pick to do complex calculations quickly, warn him before exceeding certain errors and giving instructions. STEM (Science, Technology, Engineering and Maths) has changed dramatically owing to AI.

Related Article:

What are the Interview Questions for Financial Analyst?

Posted on by Imarticus Learning

Are you preparing for the financial planning and analysis (FP&A) job role? Then you should know the possible financial planning and analysis interview questions about the industry. So, it is also crucial to know about financial planning and analysis (FP&A) trends and their essential concepts. Therefore, prepare for the financial planning and analysis interview questions and present yourself professionally in front of the hiring manager.

We have clubbed financial planning and analysis interview questions based on our extensive financial planning and analysis (FP&A) research.

We have also included financial planning and analysis professional interview questions suggested by experts.

Let’s take a look at some of the most relevant financial planning and analysis interview questions

The aspirant should prepare for these before sitting in an interview for the financial planning and analysis (FP&A) job role.

What are the three financial statements?

The three financial statements are the balance sheet, cash flow statement and income statement. You can elaborate on it by stating the definitions of all three. A balance sheet shows a company’s assets, liabilities, and shareholder equity. Whereas an income statement shows the company’s expenses and sales revenue. Finally, the cash flow statement depicts the cash flows generated by operating, investing, and financing activities over time. 

What effect does an inventory write-down have on the three statements?

An inventory write-down affects the balance sheet and the income statement. A write-down is an expense that reduces net income and tax liability. A decrease in net income lessens a company’s retained earnings. And, that reduces shareholder equity on the balance sheet.

Why do you want to be financial planning and analysis (FP&A) professional?

Start with talking about the skills needed for the job. For example, financial planning and analysis (FP&A) professional requires a high level of skills. These are problem-solving, good data handling, and interpreting skills. In addition, you must have a good understanding of financial analysis, modeling, and forecasting. Phrase your answer rotating around these critical skills, and you will be able to impress the hiring manager.

What is the difference between budgeting and forecasting?

Budgeting depicts the expected revenues a company wants to achieve in the future. Whereas financial forecasting estimates the income or revenue generated in the future.

What is EPS and how to calculate it?

EPS stands for Earnings per Share. It is the amount of income generated for each share of the company. The preferred dividends paid are subtracted from the total net income to calculate earnings per share. The earnings would be divided by the balance sheet’s total number of outstanding shares.

What do you know about financial modeling?

It is a quantitative analysis tool that helps figure out asset pricing and assists with other general financial analyses. It helps to make future predictions based on the organisation’s historical and present financial records. Financial modeling also help in business valuation, budgeting, and strategic planning.

What are the main components of a cash flow statement?

A cash flow statement helps us understand the business’s cash flow position. It gives detailed information regarding the cash flowing in and out of business. Therefore the cash flow statement has three main components cash flow from operating activities, cash flow from investing activities, and cash flow from financing activities.

What does it take to be an outstanding financial planning and analysis (FP&A) analyst?

You can discuss the skills required to become the best financial planning and analysis analyst. The three essential qualities of becoming the best financial planning and analysis professional are as follows.

  1. Analytic Skills: Collection and organisation of data for analysis. Therefore, recommendations also come in this, and here is the chance for financial planning and analysis (FP&A) professionals to shine. 
  2. Art of presentation: Analysis, interpretation, and recommendations are not enough. Successful financial planning and analysis (FP&A) professionals should also present the required information well.
  3. Soft Skills: A world-class financial planning and analysis (FP&A) professional should have the best communication skills. This requires confidence while communicating, effectively articulating the thoughts, and being able to read the client’s mindset. Added advantages are being politically sound and marketing yourself.

Give us an example where a company has positive cash flow but is not financially sound.

It can be a tricky one. However, you can state that one such instance could be a company selling off inventory but delaying the number of payables.

What essential tools do technical analysts use to analyse a company’s stock?

While conducting technical analysis, analysts generally use charts. So, they typically use line charts, bar graphs, and point charts. They are required to assess the performance of a company’s stock.

What do you understand by cost accountancy?

Cost accountancy is the application of cost accounting principles and guidelines. These are used to calculate the cost of production by identifying the fixed and variable costs associated with manufacturing products. Therefore it is a branch of managerial accounting that helps in the decision-making process for the business.

Final Take Away

We hope these financial planning and analysis interview questions help you crack the interview. Regular preparations and updating your knowledge is a must. In addition, reviewing your performance is significant for appearing and getting selected for the financial planning and analyst role (FP&A). You can also check out our blog, Tips For Cracking Financial Analyst Interview, for interview prep. All the best.

Master The Skills Of Machine Learning And Be Successful!

Posted on by Imarticus Learning

It’s a big deal: Machine Learning is the rave of the moment. Tons of companies are going all out to hire competent engineers, as ML is gradually becoming the brain behind business intelligence. Through it, businesses are able to master consumers’ preferences thereby increasing profits.

 

In 2006, Netflix announced a prize of $1 million to the first person to improve the accuracy of its, recommendation system by 10%.

The prize money serves as proof of the relevance placed on ML. Also, Netflix’s anticipation of substantial profits through a slight improvement in the accuracy of its recommendations.

It’s closely linked to data science: Just as humans learn from experience, ML systems learn from data. Thus, many ML engineers are made to wear two hats (machine learning engineering and data science) while undertaking their daily work , which is arguably a good thing.

As you should know, data science is rated as the sexiest job of the 21st century. Learning ML would make you more knowledgeable in data science and thus more attractive in the labor market.

To become unwary of the dangers of AI: Many things have been said about AI and whether or not it could really snatch jobs. Fortunately, however, knowledge of machine learning may take you a step towards protection from any predicted dangerous outcome of mass scale AI implementation, because, as of today, most systems are built by humans. Also, there’s will be a positive demand of engineers, come what may.

Interested in learning some cool Machine Learning already? Then you are at the right place!

Enroll for India’s Best Machine Learning + Artificial Intelligence Certification Program. It has the following things to offer:

  1. Teaches you Deep Learning as well. Both theory and projects
  2. Prepares you for the real-time job of a Machine Learning Engineer
  3. Teaches you all the required tools
  4. Helps you build projects required for Machine Learning + Deep Learning
  5. Also gets you an internship (if you are a student)
  6. It also offers guaranteed interview assistance after graduation from the course

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?

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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!