Human resources

Human resources professionals can leverage AI for a range of functions. This includes resume screening, where algorithms can be trained to look for key words and phrases in applications. When used with care, AI can help to eliminate unconscious bias in hiring and promote inclusive recruiting by enabling organizations to screen a wider pool of candidates in less time.

By enabling more powerful self-serve functions through AI tools, HR professionals can minimize repetitive elements of their work. For example, some HR apps with embedded large language models (LLMs) now provide a full explanation of a worker’s benefits upon request. Generative AI can also walk new employees through the onboarding process and assist in training by helping HR develop customized curricula for specific roles.

Cybersecurity

AI can bolster cybersecurity by automating the detection of sophisticated threats that escape traditional defenses. This includes what’s known as fileless malware, which is deployed straight into a system’s memory to elude antivirus scans. AI assisted monitoring, such as that enabled by Intel^® Threat Detection Technology, can be used to discover and defeat such attacks. Meanwhile, cybersecurity applications that use specially trained LLMs can give security analysts an on-demand, big picture status report of an organization’s threats and defenses.

Customer service

AI is taking chatbots to the next level and gone are the days of rote responses. Consumers can now engage conversationally with AI-driven agents to resolve thorny problems, ask for personalized recommendations or compare various offerings. Companies employing human agents can still benefit from AI’s customer service capabilities by leveraging AI to give their agents access to real-time information while they interact with clients. This is crucial in an era where two-thirds of millennials expect real-time customer service.²

Marketing

Generative AI can automate the production of content marketing material. It can use an organization’s existing data to generate sales brochures, write blog posts and even create engaging images or videos to accompany the content. In fact, 90 percent of commercial leaders expect to use AI applications often in the near future.³ On the back end, data-driven insights can be translated into plain English by AI which will help marketers more easily understand campaign performance.

Finance and accounting

Freeing professionals from routine tasks and enabling them to focus on higher value work is one of the more potent ways AI can increase productivity. For example, AI can fully automate the processing of accounts payables and receivables. It can also assist with crucial functions such as fraud detection by identifying irregular transactions or suspicious patterns of activity. Advanced AI algorithms can enable auditors to dive deeper into company data to conduct audits that are more thorough and accurate. Major ERP application vendors are already building AI assistants into their software.

Logistics and shipping

AI can save organizations money and help them operate more sustainably by making logistics, transportation and shipping more efficient. AI-based systems can plot the most efficient routes for trucks and other vehicles, pick the optimal mode of transportation and rationalize inventory operations. Meanwhile, AI-driven robots are helping to solve the “last mile” problem in home delivery by providing door-to-door service that is efficient and sustainable.

Sales

Businesses can grow revenue more quickly and efficiently by leveraging AI to automate routine sales functions, such as identifying and qualifying leads and writing prospecting emails. It can also make sellers more effective by enabling data-driven decision making on the best opportunities to pursue. Major CRM vendors are baking AI capabilities into their software to assist users in a range of sales tasks, and the list is growing every day.