Artificial intelligence (AI) is a term that ignites excitement and fear in the masses. Many are worried that robots will populate the workforce and take our existing jobs. While this projection may be true since it’s already taking place — the transition doesn’t have to be scary for AI in the workplace.
Job Improvement:
Although many believe AI will take over all jobs, positions, and opportunity, humans will still have a dominant workforce presence in this era of digital transformation. AI may take some of the jobs currently performed by humans, but AI will also create scores of new jobs and transform the ones we currently have.
The change is happening at a rapid pace, so it’s best to embrace AI and its many benefits surrounding productivity and economic growth.
Eliminate Repetitive, Manual Processes with Automation:
Think about how much time is wasted on repetitive processes that could be performed with automation. AI automates processes by repeating tasks, like those executed in each workstation of a manufacturer’s production line, traditionally driven by humans. The software starts to identify patterns and creates an algorithm that accomplishes routine tasks much quicker. By automating many of the physical and redundant processes performed by your workforce, you can allocate more time, resources, and brainpower to larger endeavors like sales strategy and customer satisfaction.
Chatbots:
You can save a lot of time by utilizing Chatbots! A Chatbot is a service, powered by pre-programmed rules and sometimes AI, that you interact with through a chat interface. Chatbots have been around for years, but they’ve had a recent boom with the rise of AI and the Internet of Things (IoT). These easy-to-use tools are incredibly useful in the workplace since they allow for instant communication, ergo faster decision-making.
AI Chatbots are incredible smart and only improve over time and learn better answers to frequently asked questions, freeing up time for management to focus on more strategic tasks. These virtual robots are an effective, scalable way to bridge the communication gap between employees and management and make internal information easily accessible. This is an incredible way to use AI for improved productivity. This is a great way to detect issues within the organization before they arise and address them accordingly.
Not only does AI increase productivity, it also improves overall quality. With any job, human-error is always a factor, whereas AI software is less likely to malfunction. It also enables deeper personalization by understanding what customers want over time, resulting in better quality products and services.
AI transforming HR:
Who ever thought you could use AI to do a better job of matching candidates to jobs? They use tools to track the types of credentials, qualities, and experiences that both employers and employees are looking for, then they use that data to recommend ideal matches. AI provides managers with tools that help them measure employee performance, select the right candidate for promotion, or identify inclusion issues. This is a fantastic way to create algorithms to match the perfect candidate with the available positions. No more time wasting with candidates who don’t align with your company!
AI in Data and Analytics:
It’s hard to run a competitive business today without data. Can you imagine how far you’d be behind the competition? But even massive amounts of data are useless without a way to transform that data into valuable insights. That’s typically why you’d want to hire a data scientist. AI helps companies make use of their data even without a data scientist on staff. There are websites to help you compile and utilize this data.
Domo centralizes all company data on the cloud. It consolidates data from a variety of sources so that it’s available to everyone in a central, searchable source. AI capabilities allow Domo’s customers to identify important changes and patterns in the data and even predict key business metrics.
ThoughtSpot uses AI to scan through data and extract important insights just like a data scientist would do. With just a few clicks, even non-technical users can isolate trends, segment data, uncover anomalies, and create detailed reports.
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