4 Business AI Forecast 2022-2023

AI as a field, especially in the context of real-world applications, is progressing at a rapid pace. This was further accelerated by the onset of the COVID-19 pandemic. In fact, artificial intelligence was the most discussed technology in 2021. Working with numerous clients, large and small, in AI integration, here are 4 business AI predictions for 2022 and beyond.

#1 Many more “layout” models

In the recent past, businesses struggled to operationalize models and did not see the value in many AI initiatives. In fact, research from Gartner shows this only 53% of AI initiatives move from prototype to production.

However, due to the recent increase in the number of ML deployment platforms, low-code and no-code AI development services and AI vendors providing AI solutions such as speech recognition, sentiment analysis and ticket routing. , we will begin to witness other real-world applications of AI.

#2 Growth of Problem-Oriented Practitioners

While the focus of AI as a field has been heavily focused on technique, business practitioners are slowly beginning to realize that the latest and greatest techniques It may not work at all For many use cases from a practical point of view. There is a fundamental difference between techniques that are still in “research mode” and those that are tried and tested.

While in the past data scientists prided themselves on using the most sophisticated techniques to demonstrate their expertise, data scientists are becoming more and more. problem oriented. They adopt simpler techniques that will have a higher chance of success when used in the real world. This shift in thinking will improve the outcomes of many AI initiatives.

#3 Accountable AI will gain steam

With all the Facebook drama and regulations around AI still limited and “under negotiation”, more and more businesses are becoming aware of the problems with algorithms. If algorithms are not used responsibly with downstream and long-term impacts in mind, it is clear that they can cause significant harm. To that end, I see many data scientists and leaders talking about the ethics and implications of algorithms.

I believe that informal conversations around AI ethics are just the beginning. Some of these discussions will turn into action where businesses will start to have them own committees Rigorous testing of AI systems. Some will even study the potential social impact of a particular technology before releasing it – regardless of regulations. The regulations will add another layer of oversight, especially for companies that have yet to take AI ethics and accountability seriously.

#4 subordinate Industries will begin to adopt artificial intelligence

AI has largely been a winning tool for big tech companies. But the stress caused by the COVID-19 pandemic, such as declining labor force participation, workers unwilling to work on the front lines, social distancing requirements and more, has forced many companies that relied heavily on the availability of workers. take a look their business models.

From allowing employees to work remotely to automating jobs that no worker wants to do, there are all options that are seriously on the table. As part of this, AI will be a critical player in changing business forever. Hospitals, manufacturers and restaurant chains will all be at the crossroads of technological transformation.

Although AI in business applications was a new concept a few years ago, as you can see from these predictions, it is becoming more mainstream and achievable. The growth of AI implementation and development platforms, changes in mindset and the stress caused by the COVID-19 pandemic will be a real catalyst for businesses to make AI a reality.

The post 4 Business AI Forecasts for 2022-2023 appeared first on Opinosis Analytics.

4 Business AI Forecast 2022-2023

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