Recruiting Artificial Intelligence Experts
Artificial intelligence (AI) technology is engineering a seismic shift in all industries. A 2022 O’Reilly report showed AI adoption is on the rise, with the technology, financial, and health care sectors leading the pack.
With increased AI adoption, the demand for AI recruiting is surging as companies of all sizes seek to integrate artificial intelligence into their business processes. Startups and other small companies are seeking to lay a strong AI foundation from the get-go, while big and established enterprises want to maximize or expand their current AI infrastructure.
Although most companies realize the urgent need to hire AI experts, they’re finding it hard to attract specialized talent such as AI data scientists. In fact, in 2022, 80% of companies admitted to facing severe difficulties with hiring AI experts.
But the good news is that Ghost Mountain is dedicated to helping firms in all sectors expedite their artificial intelligence recruiting process and attract top talent. By providing firms with the most sought-after AI professionals in the market, we help them unlock their machine learning (ML) and AI potential and enjoy the following benefits.
AI Experts Help Companies Streamline Their Processes Better
Companies can leverage AI to optimize their business operations and processes. For perspective, let’s explore three common AI subsets and how businesses utilize them to improve their operations.
Machine learning enables computers to consistently learn from data and improve their performance without requiring further human input or programming. Video streaming companies like Netflix and Hulu utilize machine learning to analyze users’ preferences. This enables them to provide personalized content recommendations to each user.
To get the most out of their ML investments, companies need AI data scientists to develop the statistical models and algorithms that empower their computer systems to self-learn.
Robotics involves designing, programming, and automating robots to perform particular tasks with or without human supervision. This AI engineering subset is most favored by manufacturing firms with repetitive and high-precision processes, such as:
- Machine tending
- Sealing and gluing
Such companies require robotics engineers to design, update, test, and manage the software controlling their processes.
Natural Language Processing
Natural language processing (NLP) focuses on training computers to recognize, decipher, and generate human language (spoken and written) on a human-like level. Today, businesses across the board use NLP technology, such as chatbots and sentiment analysis, to automate some of their customer service processes.
Prompt engineering is a foundational subset of NLP technology, boosting the accuracy and quality of the output from AI language models like GPT-4. With prompt engineering, companies can unlock the efficiency of their NLP tech by crafting specific questions, requests, and statements (prompts) to get more accurate and tailored responses.
Companies wishing to maximize the output of their applications should hire skilled NLP scientists to run their NLP tech.
AI Experts Help Companies Lower Their Overhead Costs
As fears of a looming economic downturn pervade in 2023, companies are cutting back on expenses. Most firms are turning to AI to find long-term solutions for reducing overhead costs. Evidently, automation is emerging as the fit-for-purpose solution for businesses in numerous sectors.
Automating Routine Tasks
Regardless of their line of work, almost every company has repetitive administrative, marketing, and financial tasks it can automate with AI. Such tasks include:
- Data collection, entry, and analysis
- Preparing payrolls, receipts, and invoices
- Scheduling blog and social media posts, setting e-commerce reminders, and tracking web traffic
Automating such tasks reduces the need for a full staff to execute these duties. Companies may instead need only one person to supervise the AI, and some may even require zero human input.
Automating Customer Service and Support
With conversational AI, businesses can automate customer service tasks like responding to raised tickets or sending confirmation emails. This eliminates the need for extensive call centers and overstaffed customer service departments.
Automating Supply Chain Operations
Businesses can automate these four tiers of their supply chain operations:
- Inventory management: AI monitors inventory in real time to avoid overstocking or stockouts.
- Warehouse management: Robotics and automated guide vehicles streamline inventory handling.
- Vendor-relationship management: AI manages vendor data, financial transactions, and communication updates.
- Demand planning: AI interprets vendor and inventory data and correlates it with forecasting data to predict demand cycles.
Automating these time- and resource-intensive supply chain operations can help companies slash their overhead costs substantially.
While these three automation techniques can be replicated in almost every sector, companies need a dedicated AI expert to help define and prepare an effective automation road map. Adopting automation without a strategic plan or expert input may backfire and instead increase overhead costs.
AI Experts Help Companies Grow Their Bottom Line
When companies leverage AI to streamline their business processes and lower their overhead costs, their bottom line improves in the long run. And depending on how robust a company’s operations are, the cost savings gleaned from deploying AI can be felt immediately.
Besides growing the company’s bottom line, AI can also help preserve its financial health. For instance, AI helps financial institutions detect and prevent fraud attempts, shielding them from heavy monetary losses. Additionally, AI-driven regulatory technology (regtech) helps financial institutions monitor transactions and regulatory changes in real time, saving them from the risks and expenses that come with failed transactions and noncompliance.
Ghost Mountain: Your Trusted AI Recruiting Partner
Considering the overall benefits companies enjoy from AI adoption, hiring AI experts makes sense on all levels. However, technical recruiting isn’t the walk in the park that most companies wish it would be. The current AI job market is sticky, and companies are struggling to attract top talent.
And the AI talent shortage didn’t start just yesterday. In 2022, 63% of business decision-makers didn’t have enough employees with AI and machine learning skills. It’s, therefore, understandable if your AI recruiting efforts are challenging at first.
Fortunately, you don’t have to pull a rabbit out of a hat to recruit AI talent because Ghost Mountain has your back. With Ghost Mountain as your AI recruiting partner, you can rest easy and focus on more strategic tasks, knowing we’ll get you the best-fit AI talent.
Contact us today and leave the headhunting to us.