There is no question that the future of work is loaded with vast amounts of data. In order to sift through these ever-growing mountains of data, companies are relying more and more on intelligent technologies like artificial intelligence (AI) and machine learning.
AI technology reliance in the workplace has grown up to 270 percent in the past years, with the global artificial intelligence market expected to reach 267 billion by 2027.
Artificial intelligence and machine learning will also help maximize communication in the workplace by analyzing data like presentations and reports, rate their level of success and predict patterns. This can lead to better decision-making in the workplace that will help drive growth.
Intelligent technology will not only help the current workplace and support humans in their daily job tasks, but it will shape the future of work itself. From how we think about data management to creating new jobs, intelligent technology will drive massive innovation, driving market growth on a global scale.
Ten ways intelligent technology will change how we work:
- Better productivity: the massive amounts of data that workers would need to go through manually, can become an easy task thanks to AI systems. It can sort through huge volumes of data sets in a matter of seconds, in some cases, and come up with organized figures and statistics. This frees up workers to focus on high-value tasks that will benefit the company and drive growth.
- We will manage our time better: about half of the activities workers carry out in most sectors could be automated. This means not only better productivity, but also better time management - when an AI program arranges our workflow, we can be more efficient and allocate more time to tasks that are more important.
- There will be improved security: with cyber attacks rising 600 percent during the pandemic, machine learning will be crucial to identify potential risks, both for companies and individuals. Thanks to intelligent machines, it will be easier to sift through large amounts of data and detect fraud patterns, something very important for companies in the finance sector.
- Better supply chains: artificial intelligence can easily process large data sets and it will only get better in the future. With more sophisticated AI algorithms, comes the ability to forecast accurate inventory safety levels, transportation networks and purchasing management. This will be immensely valuable for e-commerce, which grew exponentially during the pandemic and is slated to continue rising in the coming years.
- Improved communication between teams: artificial intelligence and machine learning will also help maximize communication in the workplace by analyzing data like presentations and reports, rate their level of success and predict patterns. This can lead to better decision-making in the workplace that will help drive growth.
- There will be more cognitive automation: more and more companies are using cognitive automation to digitize, augment, and automate enterprise-wide decision-making processes. With this approach, operational processes will become a series of skills and capabilities that will be re-used and re-ordered to perform more general tasks. With artificial intelligence, organizations will achieve a comprehensive understanding of consumer purchasing habits and find ways to deploy inventory more efficiently and closer to the end customer.
- Better working spaces: as more of us return to physical offices from remote work, artificial intelligence will help optimize the environment - through better office arrangements and better environment management. Also, a lot of us may never return to a physical office, which will force companies to create appropriate workflows to promote an efficient remote workforce.
- We’ll need constant upskilling: the future of work will also require us to constantly update our knowledge base to close the skills gap as technology evolves. Artificial intelligence itself will also predict what trends will be needed in our sector and help us update our skills.
- Greater focus on creativity: as we lean more into automation, we’ll be unburdened of daily repetitive tasks, thus being able to focus on creative aspects of our work. Important tasks that require human ingenuity will become the center of most of our work days, which will likely result in a happier workforce and increased growth.
- No-code/Low-code platforms: as companies rely more on artificial intelligence for everyday tasks and data management, no-code/low-code platforms will become more popular in the workspace. These will help workers and managers with little or no knowledge of coding, be able to automate data processes. They will also help developers focus on more important coding processes by automating those that are simple, but require constant upkeep.
Want to know more about how cognitive automation helps accelerate decision-making across the enterprise? Start here.
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