Recent Artificial Intelligence Job Trends
Artificial Intelligence (AI) as a technological domain, has existed for many years for now. However, the recent explosion in the amount of data that we can manage and process along with the internet speeds has gathered enough touchpoints to bring an efficient solution to life.
In the past 7 years, AI solutions have started to show promising results in multiple domains. Hence there is a rise in the demand for artificial intelligence jobs. To simplify the entire domain, we divide it into two major technological fronts, one being Machine Learning (ML) and the other Deep Learning (DL). Furthermore, we functionally divide the entire domain into 5 spaces.
Text analytics: Analysing all forms of texts and documents including written handwriting.
Speech analytics: Analysing sound and capturing it as usable data.
Machine Learning: Using algorithms to discover patterns, forecast, and train models.
Image Processing: Analysing and extracting information from images.
Virtual agents: Creating chatbots to augment human capabilities.
All these functional units combined, form the pillars of Artificial Intelligence. If you dive deep into domains, you would realize the immense potential for AI among all verticals, and the rise in the requirement for jobs in AI. However, it is essential to understand which one of them is truly showing promising results because they are not all the same. The accuracy levels and the technological maturities, limit the capabilities in each domain. Let me explain, for example, a domain such as an Image Analytics clubbed with Speech Analytics, is still considered a laggard, compared to more mature domains such as Machine Learning and Virtual Agents. Hence, if you look at the career trends in the Artificial Intelligence domain, you would be surprised to learn that every functional unit does not offer equal opportunities. The opportunities in this domain are highly skewed and hence few of the verticals such as Virtual Agents and Machine Learning, are really gathering pace and showing promising results, upon comparison to others. The domains provide varied levels of artificial intelligence job opportunities in terms of both use cases and career trends.
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Once we understand that not all domains are the same, we may start detecting some highlighted patterns within the Artificial Intelligence domain. The list mentioned below highlights the career trends of the top 5 domains where AI is being heavily implemented.
Virtual agents and the development of chatbots
Customer care transformation
Inventory forecasting using machine learning
Document processing
NLP (Natural Language Processing) for email classification
It is highly recommended that one takes up focused certifications or a comprehensive course before they are ready to make transition into artificial intelligence careers. Once we understand where the career prospects are highlighted within this domain, let us try to understand the various opportunities that the current market for AI technologies has to offer.
If you look at the Virtual Agents domain market, you would understand that the market is pretty staggered with open source solutions as well as end-to-end dialogue-building solutions. These are offered by players such as Amazon, Google, and Microsoft and they have a benefit of a majority of the market share. The popular tools used in this domain are Google Dialogflow, Amazon Lex, and Microsoft LUIS. One must understand that this domain is highly dependent on these popular tools, that offer great accuracy levels and ease of building solutions compared to other domains. Use cases such as inventory forecasting using Machine Learning are totally dependent on open-source libraries that are being leveraged with the help of Python programming and then create a customized solution using multiple open-source libraries and algorithms.
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This highlights the point that the domain is not highly dependent on tools that are licensed and offer a level playing field for scientists and AI data analysts who work with open-source solutions. Certain use-cases such as document processing using image classification, again largely rely upon the open-source algorithms and functions that make use of multiple libraries. A domain getting popular, such as customer care transformation has use-cases from multiple technologies, for example, a Virtual Agent can be used to assist a live agent, and at the same time Text Analytics and Vision Analytics would be utilized to help the agent understand documents and resolve the customer query better and faster. Machine Learning can be used to analyze the customer towards their need and the products that can be used for cross-selling while solving a problem. Hence, this domain offers an intersection of multiple technologies and a great area for AI to be implemented for making the process streamlined.
Artificial Intelligence Jobs That Are in High Demand
Mentioned below are many interesting artificial intelligence jobs that can be pursued by individuals, and are in demand:
AI is heavily dependent on data, and this data forms the core of all AI solutions. Henceforth, career trends such as Data Analytics, Data Engineering, and Data Science, have become so prominent in the coming days and will continue to grow in the short to medium term. It is imperative that one begins with understanding and managing data before one jumps onto AI.
We must understand that this domain is ever-evolving and the use-cases continue to grow as the efficiency and accuracy levels of algorithms increase. We wouldn't be surprised if tomorrow, Vision Analytics gathers a lot of accuracies, and then we see a lot of self-driving cars or document processing using image analytics happening. Safety regulations being managed by bots are a very common use case these days, all thanks to the advancements in data and analysis. One must approach this entire domain in totality, keeping data at the core and trying to understand the multiple domains that form this vertical holistically. We must analyze our career paths, and seek artificial intelligence jobs accordingly to balance the skill to demand ratio. Al systems are heavily dependent on other technologies as well, such as cloud computing and data analytics. This shows that a professional’s career is heavily decided by how well their skills are spread. Hence, it is highly recommended that one continuously expands their horizon, to include multiple domains and multiple technologies for continuous growth and learning, and make careers in AI.
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