We are in the era of artificial intelligence, commonly called AI. The birth of AI automation technologies brings more intelligent automation, transforming businesses. Artificial Intelligence promises economic growth by boosting productivity, among other use cases.
The idea is to shorten the time it typically takes perform tasks through automation. Thus, efficiency will drastically increase in many industries, producing higher output worldwide.
The promise of AI automation is too great to be ignored, as these technologies will dramatically reshape our work. It will, in turn, affect the nature of our job roles in the future.
Humans can focus on developing businesses, leaving AI tooling and machine learning algorithms to take care of the hard parts of the economy, labor market, and society.
So let’s review AI’s vast potential and discover how to implement these new technologies, augmenting human intelligence.
So how do greater automation and AI systems change how we work? While many are claiming the end of the job market as we know it, I believe it’s not as simple as machines taking over human jobs and destroying the existing workforce.
AI will likely take over certain tasks: assembly in manufacturing, responding to customer service inquiries, and data entry/processing. When AI handles these tasks, previously done by humans, businesses can cut costs in human labor and material costs.
Other areas where AI can help are where moonshot societal changes are impossible by human hands alone. Climate change, for example.
What emerges is the potential for new jobs, those requiring problem-solving and troubleshooting skills. While artificial intelligence is great at regurgitating existing information, it’s not yet able to think for itself and synthesize new ideas.
As a society, we can prepare for this transition by finding new purposes for workers affected by this technological change. We can supplement job displacement with access to relevant training opportunities.
There’s a plethora of benefits of AI tooling. Emerging technologies in the workplace that provide quicker and more accurate decisions from a supercharged language model AI such as GPT-4 will increase productivity and accuracy. This in turn will reduce overall costs.
Let’s dive into these major benefits of AI in the workplace.
One way AI can improve productivity is to cut the time it takes to manually gather information or initiate a process. Let’s take customer service representatives as an example.
AI-powered chatbots respond more rapidly and in certain cases more accurately to customer inquiries. The solution they provide will be immediate, with an option to escalate the more complex tasks to a human officer.
Nonetheless, automation will shift these mundane, repetitive tasks into more impactful activities. As a result, the company providing the service can serve better and more comprehensive customer support.
Thus, the way businesses interact with both customers and employees alike changes. The customer experience improves for the customer. Meanwhile, employee efficiency increases for the company in performing high-value work.
Another way AI can assist businesses in growth is by the way it processes data.
Data science has become a mature field, yet sometimes the complexity and size of data may require more analysis than human intelligence is capable of. In these tasks, AI can also be useful.
AI has the ability to pull helpful information from the data that data scientists may otherwise miss. An AI application using insights from big data sets can perform all the following tasks that one data scientist alone may not be enough to handle:
- Analyzing trends
- Recognizing unseen patterns
- Identifying changes in customer behaviors
- Recommending products with better accuracy
One of the greatest benefits AI can give businesses is enhancing the decision-making process.
The human brain is somewhat limited. Humans are prone to biases or errors in judgment due to fatigue or other cognitive limitations.
Meanwhile, AI can, to a certain extent, function like a human brain without constraints. Tasks that are difficult and time-consuming for a human brain to process are easy for AI.
An AI’s machine learning skills give an extra layer of insight by considering past accumulated data. It can quickly scan political shifts, economic cycles, and changing regulations to arrive at a decision faster, considering all data points.
Now that we’ve analyzed the benefits, we can review the applications of AI in the real world.
Automation enables stronger collaboration between team members. AI algorithms help project teams to streamline intricate tasks. It speeds up processes and saves time.
Project management also benefits from AI skills when automation is applied to these repetitive duties:
- Information entry
- Progress tracking
Furthermore, AI systems may help teams resolve disputes faster. That way, team members can concentrate on their primary competencies.
Good time management is invaluable in business. Businesses can optimize their time management and resources through automated processes. Things like prioritizing tasks, arranging schedules, and managing workflows can all go through automation.
Basically, in the future of work, anything repetitive will no longer be in a human employee’s job description. Tech-savvy individuals can prioritize other tasks, thus widening the labor market for more jobs that require a more human approach.
Optimizing an organization’s workflow using AI algorithms can show businesses which areas to improve. Which part of a company needs to be more efficient or needs more funding?
AI tooling can pinpoint these areas and simplify the workflow so that human workers have more time to focus on the tasks that drive value to the business.
We’ve discussed this before: AI helps the way we input and process data. Not only faster data collection and input is possible, but AI will also improve the accuracy of the analysis.
AI will be highly advantageous when the data or insights a company needs are too large for manual work.
New AI marketing tools and innovations will revolutionize how marketers can reach their target demographics. Technological advances give new ways to implement and measure the success of marketing campaigns.
One way it does this task relates to data analysis. An automated system analyzes data to optimize content for search engines, thus predicting customer behavior and eventually personalizing customer experiences.
When the next campaign rolls around, marketers will have the information for improvement in their target markets.
The question now is: do we need AI tools in our workplace today? The answer is: yes.
Simply putting a grammar-checking app on your computer to check your writing is already a simple case of using an AI productivity tool.
A productivity tool is just like what the name suggests: a tool that improves productivity using AI-generated data. Often, the results will be decent enough without compromising quality. If you pair that with human intelligence, the result can be above average—brilliant, even.
Older versions of these applications such as Photoshop already laid the groundwork, but the AI tools of today revamp their capabilities. They do that by cultivating deep contextual learning, resulting in more efficient NLP and intelligence searches.
And the good news is: these improvements will go on. More businesses will be able to leverage the ever-developing AI evolution for a brighter business prospect.
The potential of generative AI—or any AI tool—can only be realized with a human touch. For the ethical use of AI, humans still matter. Here are ways you can ensure responsible AI usage.
Let’s face it: AI augmentation only works when the input is correct.
Investing in human resources pays off. Companies must give their employees AI education for them and the AI tools to thrive. Training initiatives should be about cultivating a strong collaborative environment.
First, the team should understand the goals of a project. Then, they can learn how AI can help them to achieve those goals.
Each stage of the AI process should be properly mapped out to give your company clear guidance. When you decide to implement predictive analytics, machine learning, or natural language processing can make a world’s difference.
An AI initiative will be successful when you already have a clear plan from the beginning, which everyone follows. These strategic steps will establish the best practices for future AI projects across your organization.
Despite its suitability for businesses, AI will impact many people’s jobs. Naturally, many human workers worry about their job and income stability. Therefore, companies must pay attention to their concerns and create a plan to address them.
AI should not threaten or replace employees. Instead, AI should empower them and allow them to take on new tasks that would have previously been beyond their skill sets.
Investing in AI training and education initiatives will help employees develop new skills leveraged with AI tools.
Your business can only accomplish the success of your AI tool by measuring and tracking its results. And you need a disciplined approach to implement that. Performing an audit to ensure your deployment remains within your business goals will work well.
For now, it’s the humans who can evaluate it. Human beings have the ability to perform ongoing measurement and evaluation which, in turn, will make the process transparent, allowing the company to find anomalies or areas for suitable adjustments.
In the world today, people are worried about artificial intelligence. From concerns about job losses to over-dependency on AI tooling, there’s still distrust around AI usage. But there’s no doubt many businesses and individuals can benefit from AI and automation.
Research is the first step for those wanting to explore artificial intelligence in the commercial world. Learning what the potential benefits are, how many tasks it can simplify, and familiarizing yourself with recent innovations is crucial.
More importantly, companies must figure out how AI and humans with common sense and their own intelligence can perform optimally together. With a comprehensive understanding of AI, any implementation can be successful.
Artificial intelligence is here to revolutionize our world and it will continue to the next decade. Because AI automation is powerful and will change the future of work, the right strategy and planning is the key to a successful implementation.