AI Engineering: Exploring the Growing Demand for AI Engineers
An artificial intelligence (AI) engineer understands that the development and application of AI technology will have a crucial impact on society for several years to come due to advances in computing power, capacity, speed, and data diversity, as well as the continued advancement of deep neural networks.
Several organizations across diverse industries are looking for dynamic AI Engineers so that they can implement and also enhance their business operations. When it comes to the top jobs for the future, there are only very few industries that stand out as much as artificial intelligence. According to a report from Gartner which reveals that enterprise applications for AI have grown 270 percent in recent years, boosting a range of demand that outstrips the current supply of qualified job aspirants.
👉Role of AI engineering in a Business
AI engineers can swiftly add ML abilities to business-critical systems like Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Mobile Device Management (MDM). They can also build AI business applications from scratch.
AI engineering offers enterprises the opportunity to develop hybrid operating environments with the amalgamation of data science, data engineering, and software development. A successful AI project also reaps several advantages for the enterprises and addresses the associated business challenges that are essentially linked to internal or related to customer cases, supply chains, or other external aspects. AI engineers can also decide that the projects will get advantages with the most from weak or strong AI.
Know More: How To Become An Ai Engineer
👉Essential Concepts to know about AI Engineering
An individual who is planning to enhance a career in AI must be aware of these essential concepts about artificial intelligence. So that one can perform their regular duties at work effectively.
● Natural Language Processing (NLP) libraries and tools
Natural Language Processing (NLP) is related to the combination of computer science, information engineering, linguistics, and AI into single and programming the system to process and analyze massive datasets. The AI engineer must perform works on NLP like language, audio, and video processing by leveraging several different NLP libraries and tools, such as:
- NTLK
- Gensim
- word2vec
- TextBlob
- CoreNLP
- Sentiment Analytics
- PyNLPI
● Neural Networks
A neural network is a system (software or hardware), which performs tasks the way the human brain does. It is very closely related to the neural functionality of the human brain. Artificial neural networks are developed with a notion to imitate and function in the same manner as a human brain. It also leverages tasks that are far beyond the capabilities of any human.
It offers several commercial and business applications, where an artificial intelligence engineer will be able to solve complex problems in the places of pattern recognition, facial recognition, handwriting recognition, etc.
● Polarizing
A career in AI is highly trending in the business as well as in the corporate world. It has gained huge popularity in the educational space. There is also a great amount of AI research which is carried out and development institutes have been founded recently and investors are ready to invest the money mainly in these fields. Whether it is a big organization, which is training AI selecting this field for better knowledge and experience, one can say that AI, as a technology, is surely polarizing in this world.
● Robotics
AI can be incorporated into a machine and also in a robot. It can be any machine, which has potential to understand human works and mimic them. AI engineering has gained huge popularity and AI engineers are building robots that can think in the same way the human brain does. With proper coding and programming, an individual can scan the environment and transmit data to one another. ML algorithms such as classification and regression are helpful for robots to accelerate this process.
● More investments
In today’s modern era, several businesses are AI-driven. This is because of some innovative trends in technology, several angel investors and other major organizations are showing keen interest in AI firms. Statistics and research give details that many start-ups that have AI technology are highly successful in the long run than others.
Parting Notes
The demand for artificial intelligence engineers currently very less compared to the supply, this may alter in the years as more and more organizations launch professional enhancement programs for existing employees, several universities have also started to provide more educational courses and certifications.
