AI will become the driving force to accelerate data transformation enabling businesses to move to an online economy and become more data-driven. Machine learning models will become easier to develop, integrate, implement, and maintain, utilizing time-saving tools and turn-key algorithms. In addition, I believe that in 2022 there will be more women taking leading roles as AI data scientists.
Here is what 2022 holds for the AI industry.
1. Building ML pipelines will be faster and easier
Despite extraordinary advancements in Machine Learning (ML), there has been slower adoption in enterprises than expected. One reason is that data scientists, who are already in short supply, need to more than 60% of their time with time-consuming technical tasks such as configuring hardware (GPUs, CPUs, accelerators, and storage), standing up cloud computing resources, configuring containers and container orchestration software like Kubernetes and more. Next year tools to reduce DevOps bottlenecks, and enable easy access to hybrid compute will be used to relieve data scientists from these tedious tasks. Automation will enable data scientists to spend more time on research and training, allowing them to deliver models faster and easier than ever before. These advanced tools will increase the value of AI in an organization’s business model, and increase more AI-driven strategies.
See More: Why MLOps Is Key to Deployment and Monitoring of Enterprise ML Systems and Processes
2. The C-Suite will be onboard with AI
Gone are the days when AI projects were mysterious experiments conducted in the backroom by PhDs without consulting with business executives. In 2022, more AI solutions will be developed or adapted in close collaboration with business users to address real business needs, in order to enable real value creation. Artificial intelligence projects will be spearheaded by CEO’s increasing the likelihood of being successful by ensuring that these AI projects are more aligned with business needs and that the resulting insights are used to improve business processes and decision making. Without a higher level of input from management, there is a lower risk that AI behaviors will be inconsistent with business rules and the staff will resist using AI systems.
3. More out-of-the-box AI
In 2022 there will be more off-the-shelf technology also referred to as AI on tap, AI as a Service (AIaaS), and productized AI. There will be more sets of custom-designed algorithms to build models for specific tasks such as predicting retail profits and implementing dynamic pricing. These solutions will remove the cost of implementation which can be a huge barrier of entry for smaller businesses. New out-the-box AI tools will enable smaller businesses to enjoy automation without the price tag or commitment of traditional solutions.
4. Women executives will rise the ranks
A 2020 World Economic Forum report on gender parity suggests women account for only 26% of data and AI positions in the workforce. But recent efforts to move women into AI positions are showing results. Take for example IBM’s extensive list of female AI executives. There has been a global push to involve more women in science and technology careers and AI is one of the fields in which women are experiencing tremendous success. This move of women to AI has recently become more urgent not only for the advancement of women but also to ensure that the models themselves show diversity.
See More: Top 21 Artificial Intelligence Software, Tools, and Platforms
5. AI will Shift-Left
In the coming year, we will also see AI applications at the forefront of enterprise and even government strategies where it becomes the driving force for more business decisions transparently running behind the scenes. Initially used to optimize the quality and efficiency of customer support, marketing, manufacturing, and fault detection AI will become used more to rethink business strategies and create new differentiating customer experiences. In addition, AI will be built-in for more products and services, becoming the core of everything. In the ideal world, AI would be assisting with every phase of decision-making fully embedded into systems and fully transparent to employees and customers.
As difficult as this past year has been, it has proven that data analytics is the key to better business decisions and recent innovations have accelerated the process of companies reinventing themselves to digitally transform their businesses. With the new online economy, in 2022 companies will race to use AI insights to become more competitive by being truly data-driven. By making AI central to the entire IT organization enterprises can come a step closer to leveraging AI as a strategic resource to reap the benefits over the years to come.
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