Introduction Artificial Intelligence and Natural Language Processing are two languages that are often used by data analysts nowadays, what value is brought by analyzing Artificial Intelligence and Natural Language Processing from human resources? To this end, I have organized the relevant information, sorted out the following 6 points, the following we come together to learn and understand it!
Soft Gain Big Data and Analytics Investments
These investments may not be easily recognizable on the bottom line, but can be major wins for the company, and here are some of the benefits that may not translate directly to your bottom line, but are still worth pursuing, if you purchase a Natural Language Processing (NLP) tool that can real-time detection of customer sentiment in conversations with service agents, the agent will be better informed and the customer may be more satisfied, which can lead to repeat business for others or even word-of-mouth or social media referrals - improvements that may not be quantifiable as revenue, but technology that can help your agents effectively solve customer problems can increase your brand value and reputation.
Effective but Underutilized Employee Retention and Recruitment Tools
In recruiting you can improve candidate selection and hiring by using NLP, Artificial Intelligence (AI), and analytics to identify keywords in a candidate's resume and using social media to screen candidates and present the best candidates, but even if the finding the best candidates and hiring them, it's hard to prove the return on investment (ROI) that what you're getting is the best talent - the real difference maker, especially in high-tech industries that rely on innovation and new revenue-generating products in development.
Security and IP Theft Prevention
The well-documented cost of a security breach or a major loss of intellectual property walking out the door with a disgruntled employee is the reason for a strong investment in IT security, but getting best-in-class security software and analytics is still the bottom line, and all you know is that your business won't be impacted by preventative maintenance, sensors that can predict when equipment will fail. This allows maintenance staff to go out and work on replacements, thus keeping your company running 24/7 and never breaking down, again this is hard to quantify the benefits, some managers try to make revenue explanations by showing how much revenue the company would theoretically lose if certain operations were offline, but this is hypothetical.
Supply chain predictive analytics
More and more companies, especially those with large supply chains, are using analytics and big data to predict future weather patterns and even political upheavals that could threaten supply flows, all part of a company's risk management strategy, but not necessarily in tangible cost savings or revenue increases are measured.
Remote Conferencing and Collaboration
Remote Conferencing and Collaboration have been a lifesaver during the COVID-19 pandemic, they have kept many companies running, and of course companies have had to invest in remote collaboration and conferencing tools in order to get their remote workers into operation, and in these cases, as the company manages to stay open and therefore may measure the results in terms of revenue gained, but the debate about revenue remains speculative and the argument for cost savings doesn't work because in many cases these costs are unplanned, which companies have learned is that whether there is a bottom line case for them or not, remote conferencing and collaboration has become an indispensable corporate strategy.
The bottom line for "soft" costs
Not every investment in big data or analytics pays off with significant revenue or cost savings. Instead, in some strategic cases, companies are investing in technologies that can help them perform at a higher level, become more agile when conditions require it, and become more agile when conditions require it. , become more agile and efficient when conditions require it, and stay solvent, makes good business sense, and if the CIO or others with IT decision-making responsibilities see these technology opportunities, they should promote them with business value that isn't necessarily measured in financial returns, any company whose analytics tip it off to a security breach that may be unrecoverable, or that can attract energized and creative employees to help transform their products will be recognized.
The above is what I organize and share with you today about "What value does artificial intelligence and natural language processing bring?" The relevant content of the hope that it will help you. I believe that in order to make a mark in the big data industry, you need to take part of the high gold content of the data analyst certificate, so that there is more core competitiveness and competitive capital.