Artificial Intelligence for Finance, Accounting & Auditing
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Artificial Intelligence for Finance, Accounting & Auditing

Artificial Intelligence for Finance, Accounting & Auditing

Artificial Intelligence for Finance, Accounting & Auditing


Gain hands-on skills using 8 AI techniques (no coding!), and position yourself for this digital age (Level 1)

- Chatbots (AI that can interact in voice and text with humans)
- Robotic Process Automation + Intelligence (AI that automates business processes)
- Internet of Things (AI that enables devices to communicate directly without human intervention)
- Smart Analytics (AI that combines machine learning, business rules, expert knowledge and statistics)
- Machine Vision (AI that can interpret images, handwriting, and scanned documents)
- Natural Language Processing (AI that understands human language)
- Speech Recognition (AI that can comprehend human speech, identify speakers and tones)
- Machine Learning (AI that can analyze massive data and identifies patterns)

This course will provide students and professionals a 360 degree view of the current Artificial Intelligence techniques used in Business, Finance, Accounting and Auditing. Through a mix of lectures, hands-on exercises (code free!), case studies, reflection exercises and knowledge-check quizzes, this course will provide a quick and deep overview of Artificial Intelligence (AI) in business.

In this digital age, all careers have a computing element as digitization and automation comes to the forefront of business processes. Those who complete this course will be able to reposition themselves to initiate and implement AI innovation within their teams, and confidently walk into this AI age.

The 8 AI techniques that will be covered in this course include:

- Chatbot (hands-on software: IBM Watson)
- Natural Language Processing (hands-on software: RapidMiner with add-ons)
- Machine Learning (hands-on software: RapidMiner)
- Machine Vision (hands-on software: Google Apps)
- Speech Recognition (hands-on software: IBM Watson and Cortana)
- Internet of Things (hands-on software: MATLAB and ThingSpeak)
- Robotic Process Automation with Intelligence layer (hands-on software: Automation Anywhere)
- Smart Analytics (software: MindBridge Ai)

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Learn more about Artificial Intelligence

Artificial intelligence is changing the way that almost every major industry functions. From finance, to medical services, to manufacturing, the fields of machine learning and AI are revolutionizing work efficiency.

What is artificial intelligence?

Artificial intelligence (AI) enables computers to imitate human-like intelligence. Artificial intelligence has been around since the 1950s, and the field has dramatically evolved since then. Access to more and better information (data) and improvements in computing have helped advance the field. AI technology enables software, apps, and machines to learn, think, and correct themselves the same way humans do. 

Humans must first set up the system and develop the set of rules to be followed (algorithms), then computer programs use algorithms to analyze data, find patterns, and act on what they discover. AI programs become more accurate as they receive and process more data. A large part of AI involves machine learning, which allows computers to understand and copy human behavior by finding data patterns. In short, AI technology helps us do our jobs better and easier.

What is artificial intelligence used for?

Artificial intelligence (AI) is useful for a variety of tasks across many industries. It powers virtual assistants, like Amazon’s Alexa and Apple’s Siri, and helps computers understand which emails are spam. Machines already handle monotonous jobs. You may have used AI when contacting a customer service representative using a website chatbot or when searching for a term on Google, and the search engine finished the word for you. 

AI also helps online stores and streaming services provide personalized recommendations. In healthcare, artificial intelligence can help doctors find potential medical issues faster, including tumors, broken bones, and genetic conditions. AI also helps wayfinding apps route drivers around high-traffic areas, financial institutions flag potentially fraudulent credit card transactions, and retailers keep track of their stock more efficiently. If you have a robot vacuum, a self-driving car, or play chess against a computer, that’s artificial intelligence, too.

What are the skills needed before learning artificiali intelligence?

To learn about artificial intelligence (AI), you should love math and science. You should have a basic understanding of computer science and statistics. Critical thinking and problem-solving skills are necessary, as is a curious, innovative spirit. You should be interested in learning how things work. It also helps if you understand how information (data) is collected, stored, and analyzed and how humans can use AI to improve our quality of life. 

Other skills include an interest in or understanding of software engineering, data structures, algorithms, natural language, computer programming, computer architecture, probability, and data modeling. You should be able to work at a fast pace. As in most fields, a willingness to learn, ask questions, and work both independently and in teams are important traits.

What is the best coding language for artificial intelligence?

There isn’t one “best” coding language for writing artificial intelligence (AI) programs. The chosen language will need to build AI algorithms and networks that can analyze data and adapt to reflect what it learns. The best option will depend on the type of project and what it needs to accomplish. 

The end use of the program, including how fast it needs to function and what other programs and platforms it will need to work with, will also help determine which language is best. Languages commonly used in AI programming include Python, C++, R Language, JavaScript, Prolog, Artificial Intelligence Markup Language (AIML), MATLAB, Haskell, LISP, and Julia, among others.

What careers use artificial intelligence?

Many careers use artificial intelligence, including data analysts, algorithm developers, software developers, computer scientists, hardware technicians, natural language engineers, user experience (UX) designers, research scientists, and software analysts. Some tech companies hire specifically for AI roles with titles like artificial intelligence engineer or Siri programmer. 

Most companies need AI experts to help them apply the technology to their businesses because artificial intelligence is prevalent in nearly every industry. Companies in the healthcare, retail, travel, shipping, finance, banking, call center, manufacturing, entertainment, automotive, housewares, and even animal conservation fields are implementing artificial intelligence technology.

How can I start my career in artificial intelligence?

Start your career search by reading job descriptions to get a feel for the specific qualifications you’ll need. Employers typically require that those working in the artificial intelligence field have a bachelor’s degree in computer science. Look for educational programs and Nixon courses on various topics like machine learning, deep learning, data science, coding, programming, statistics, mathematical algorithms, robotics, graphical modeling, probability, logic, cognitive learning theory, language processing, data structures, quantum computing, or cognitive science to increase your knowledge about artificial intelligence. 

Hands-on experience with AI applications and machine-learning technology also is helpful. Once you are proficient in building AI projects, share your work on public forums to get feedback and attract prospective employers. Because the field of artificial intelligence is continually evolving, keep reading and learning to keep your skills sharp.

Requirements

- There are no course requirements or prerequisites for this course.

Who this course is for:

- Professionals and Students in Business, Finance, Accounting and Auditing (No technology background required)

Artificial Intelligence for Finance, Accounting & Auditing
Artificial Intelligence for Finance, Accounting & Auditing

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