Home Tech News How To Increase Productivity With The Use of AI

How To Increase Productivity With The Use of AI


The use of AI and robotics are becoming widespread and commonplace, especially in companies. Many businesses are tapping into the ever-growing power of AI and technology to increase their productivity and all their employees. AI is a powerful resource, not just for businesses but for employees too.

The future is here, and companies that have already leaped AI are reaping the rewards of automating certain activities on a large scale, increasing their productivity by leaps and bounds while saving them time and money in the process. This article will look at many aspects of how AI can increase productivity.

AI’s Impact On Workflow

The most useful and widespread impact of AI on productivity is its ability to automate and optimize workflow. Due to AI’s exponential learning abilities, tasks that used to take employees hours can now be accomplished in seconds with the assistance of a robot working seamlessly with them. Whether it comes down to simple data entry, time-consuming research, or organizing spreadsheets and information into actionable tasks, AI is the way to go. This is because AI can learn any system, task, or process extremely quickly, allowing it to pick up new information even if that information is missing some key variables. Here are ways AI is impacting various departments.

1. AI Impact on Human Resource Management

With the use of AI, companies can make better hiring decisions. AI can scan resumes for keywords and look beyond them with its heightened intelligence capabilities. Other characteristics like facial recognition technology paired with algorithms also help HR departments determine who will be best suited to fill an open position within a company. 

For example, if two job applicants have identical skills but different strengths, AI would find one who has stronger leadership potential than the other.

2. AI Impact on Marketing Management

Today’s digital marketing might not be possible without the use of AI. Not only does this technology help track customer behavior, but it can also create specific profiles based on information about different demographics through various platforms.

For example, Facebook’s algorithm can predict ages and religions based on interactions with their site. Also, those who have declared themselves as members of a specific interest group on social media, such as people who like to go fishing or camping, will be targeted by marketers who want to sell them outdoor equipment and accessories.

Additionally, AI is used in online marketing strategies to help pick the right words and images for advertisements on social media channels. With its vigilance and almost unlimited information processing capabilities, AI can pick out the best targets and plan hyper-targeted ads that target customers at just the right time.

3. AI Impact on Customer Service Management

The work of customer service agents is extremely important for companies because employees are often the first point of contact with customers. AI has changed this, as customer service robots are available for phone or email support. These robots can help answer simple questions that are easy to resolve, freeing up human agents to deal with more complicated problems instead of wasting their time on information already readily available online.

Customer service bots can accomplish this task by answering only the most straightforward questions using plain language-based searches on websites or databases. The ability of AI to extrapolate the correct keywords from the question will help it answer many common queries people have about services and product use cases until a human agent becomes available for additional support.

4. AI Impact on Sales Management

One area where companies usually have too much data is sales, which means that human workers can find it difficult to make an accurate decision when closing deals. This is because there are too many variables, and each has a huge impact on the final agreement. AI reduces this problem by mimicking the smart decisions humans make in business and relying on machine learning algorithms that respond better than human intuition when faced with complex situations.

5. AI Impact on Research Management

There’s no doubt that the amount of information available at our fingertips nowadays exceeds what we could learn in a lifetime, which is why it’s hard for researchers to stay up-to-date with all of the new data being published every day. 

The need for faster research management is where AI shines, as algorithms can analyze thousands of publications within seconds, while humans would require days to review the same amount of data. This is possible thanks to machine learning algorithms programmed with advanced natural language processing capabilities for text analysis.

How AI Is Beneficial To Journalists?

With the abundance of information that is readily available today, journalists are faced with the challenge of making that data more efficient. This mainly happens because it’s hard for writers to keep up-to-date with all new data being published every day. 

For example, an algorithm can read thousands of publications within seconds, while a journalist will require days to review the same amount of data. The latter requires lots of concentration and vigilance, which means they may miss important news in determining what’s truly worth reporting on. Here are the two main ways AI is beneficial to journalists.

1. Easier Data Processing and Organization

AI helps journalists by making their jobs easier. With the help of machine learning algorithms that are programmed with advanced natural language processing capabilities, data can be processed and organized more efficiently. This will enable writers to focus on what matters most – writing content. 

These efficiencies allow them to save time and money because they won’t need as many employees for fact-checking and editing stories produced by AI machines.

2. Sociological Interviews & Qualitative Research

Another way AI benefits journalists is by providing them with more data related to sociological interviews and qualitative research. This helps them gather more data for their stories, which means that writers can create better, more interesting work for the intended audience. 

The ability of AI to do this won’t replace humans but rather bring out the best in both machine learning algorithms and human researchers instead.

Recording Effective Meeting Minutes

One of the challenges that stem from meetings is taking down notes fast enough to be accurate. This problem becomes more difficult when multiple speakers are in a meeting because it can be tough to keep up with who’s saying what. 

AI reduces this issue by summarizing the dialogue and recording an effective summary for future reference. Besides, technology like Audext helps to convert mp3 to text online without the hassle of writing all the meeting minutes.

Recording Conference Calls

Conferences can be difficult to navigate simply because it’s hard for participants to track who is saying what. This becomes even harder when multiple conference call lines are involved in the conversation. However, machine learning algorithms can record every conference call, transcribe what each speaker says, and provide conference participants with a report.

AI Improves Content Marketing

Content marketing is a way for companies to create content that will impact their target audiences. This helps the company grow its brand while also establishing itself as credible information on certain topics or issues. To be more effective, companies need better ways of managing what they produce and distributing out to different audiences. 

AI can help with this by using machine learning algorithms programmed with advanced natural language processing capabilities to review produced and determine which pieces should be shared with specific demographics.


Overall, AI provides businesses with the tools to improve their productivity while maximizing their workforce. To demonstrate, AI helps by making data processing and organization more efficient. It also allows sociological interviews and qualitative research to be more effective. 

Lastly, AI is beneficial because it helps record effective meeting minutes and conference calls while also improving content marketing efforts for companies.

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