Business operations require strategic management to achieve growth, scale revenue, and increase market share. Meeting these goals requires investments in technology, such as artificial intelligence.
AI is being adopted by businesses to boost performance, but with the slow adoption, questions linger about the implementation of AI.
Enterprises, according to a ZDNet¹ poll, are lax in adopting AI with current trends ranging from conducting AI deployment tests and hiring experts.
Unfortunately, this is not enough.
Are you planning to implement AI in your business?
AI is already transforming organizations by helping them develop competitive business models based on market needs. Businesses should investigate areas² that need technology solutions, and this where AI deployment³ comes in.
Let us review business areas, which require AI:
1. Human Resource Department
Your HR department needs AI technology⁴ to remain proactive in the current market environment and make strategic choices.
Here are some use cases of AI in HR.
Gloat AI¹³assistant helps companies to recruit candidates for job categories. By using natural language processing, this AI tool sifts through applicants’ data by selecting those who qualify. Unlike human agents who take longer to complete tasks, Gloat is changing the HR scene by boosting talent management for companies through data analysis.
TextRecruit¹⁴application enables interaction between management and employees. The live chat feature on TextRecruit makes it ideal for instant messaging for companies managing a large employee base. TextRecruit also issues alerts to employees about announcements and keeps operations smooth by communicating schedules.
Arya¹⁵ is an HR application that makes decisions for companies based on employee data such as hours worked, days off, and value-added to operations. Machine learning applications from Arya assist HR departments in matching employee positions and addressing talent gaps. Arya suits HR departments seeking real-time information about employees and mapping trends such as new market talent.
2. Customer Service
The customer service department needs technology to handle queries round the clock. Poor customer service is a recipe for declining market share, and your business needs AI⁵ to avoid this eventuality.
Here are some examples of AI applications in customer service:
Liveperson¹⁶uses AI bots to increase customer engagement and reduce the burden experienced by human agents. Thanks to these AI bots, Livepersonexperienced a surge in its revenues with the company attributing the success to AI customer experiences. Livepersonis working with IBM Watson to refine AI chatbots and making progress in customer service.
DigitalGenius¹⁷offers AI tailored solutions for businesses and enables them to manage emails and customer needs. The DigitalGeniusapplication reads multiple emails and offers suggestions based on customer data in messages. This application has further increased customer response rates.
Cogito¹⁸has developed AI systems based on deep learning that interact with customers and relay information about their behaviors. The Cogito application analyzes voice patterns from customers and helps companies boost customer experiences.
3. Industry and Market Intelligence
Every business needs market intelligence⁶ to succeed in their operations. Without accurate information about market operations, a business is less likely to meet market demand. Artificial intelligence⁷ generates market data and insights to enable your business to make the right decisions.
Unilever¹⁹ utilizes AI for industry intelligence and machine-learning tools to map market trends and deliver customer solutions. Unilever relies on analytics to understand market shifts. After adopting the AI system in its marketing strategy, Unilever reported reduced costs because of efficiency and high employee productivity.
Erie Insurance²⁰ is using AI technology for market intelligence for premium payments. Lastly, Progressive insurance utilizes AI tools such as telematics and helps the insurer to generate information such as driver history and car specifications for premium payments.
After adopting the AI system in their marketing strategy, Unilever reported reduced costs because of efficiency and high employee productivity.
4. Workflow Management
Without a good workflow model⁸, your business is bound to fail because of increased risks, rising operational costs, among other problems.
Here are some AI-based tools for workflow management:
BioMind²¹AI tool works by predicting activities and using the experiences of professionals in the medical field to organize activities. Diagnosis is an essential part of BioMind and works with Doctors to address patient needs. Patient treatment solutions from BioMind guide Doctors in their decision-making by using patient data.
CHAIN²²AI research tool facilitates medical research in neurological conditions and informs medical professionals about treatment solutions. From rehabilitation to diagnosis, CHAINis offering new opportunities for the treatment of mental disorders.
Continuous Planning and Execution Framework (CPEF) application manages workflows when scaling business operations, and using CPEF can turn things around. This intelligence system assigns and manages tasks by reporting progress on each stage until the implementation phase.
The Smart Workflow for ISR (SWIM) facilitates smooth workflows by enabling smart choices. Businesses experience lags in their workflow because of poor choices, and the SWIM framework enables consultation with system-generated data.
5. Employee Training
With market changes, employee training is essential to keep your business ahead of the curve.
Some AI applications⁹ for training programs include:
Zoomi²³ AI assistant provides companies with flexible training solutions for their workforce. By using deep learning, Zoomiis helping companies offer instructions to employees following strategic objectives. Predictive analytics from Zoomiis changing how businesses train employees to match market goals.
Iris²⁴, developed by PluralSight,provides AI-based learning solutions for companies by enabling assessments. Since employees have different expertise and understanding, this AI system offers instructions and provides individual evaluations. By using Iris, management understands each employee’s report and measures employee training.
What is business marketing without superior technology such as AI? The next use cases illustrate the applications of AI in marketing:
Netflix utilizes machine learning and AI tools in their customer database to recommend movies and new shows. These algorithms analyze data based on customer watching history and recommending movies.
Boomtrain²⁵manages email marketing, and businesses consider this tool an essential part of their operations. The cognitive solutions from Boomtrain analyze data and offer responses to customers based on their queries.
Articoolo²⁶provides content management for marketing companies. Based on data from customers, this AI solution creates an information database about products and services, which further help customers to search and purchase products. Marketing needs great content, and Articoolois doing this by supporting business marketing.
Based on data from customers, this AI solution creates an information database about products and services which further help customers to search and purchase products
7. Information Technology Department
The IT department of every business manages data and information, which are key to implementing decisions. Businesses depend on data for decision-making, and with the rate of breaches increasing¹⁰, your business needs AI tools for security.
AI tools are becoming essential for every business that cares about their data and market reputation. Machine-learning systems are improving security systems for companies, which in turn reduces operational costs. Enterprises use AI and machine-learning tools to derive insights about their data warehouses, which enables them to mitigate risks.
IBM Watson²⁷ application supports businesses to use data and detect threats. The IBM Watson AI solution reviews customer data by offeringrecommendations on emerging threats. The rate of cyber threats is increasing according to The Verge survey¹¹, and IBM Watson is an AI tool that every business needs.
Digital Barriers²⁸ provides AI solutions in nuclear, oil, and gas sectors. This application uses sensor data to analyze threats by offering real-time updates. Digital Barriers uses analytics for survey and mapping processes. The gas and oil sectors require data analysis on a larger scale, and Digital Barriers is bridging this gap by using artificial intelligence to develop innovative solutions.
Is AI the future of Business Management?
From these examples, businesses need AI to survive¹⁰ the current waves of change. AI is becoming part of strategic management by handling customer service, recruitment, and market prediction.
How well is your business using AI solutions?
Asking this question is the first step towards transforming your business when implementing AI. Integrating AI in a business comes with challenges and requires planning and consultation to achieve good results.
Adopting AI means educating your team about this technology and adopting it gradually. This will create an AI growth platform and position your business to become competitive. Despite skepticism about AI, traction is growing as companies find value using AI technology.
¹ZDnet Poll, ²Technology Solutions for Business, ³AI Deployment, ⁴AI Technology, ⁵Business AI, ⁶Market Intelligence, ⁷Artificial Intelligence, ⁸Workflow Model, ⁹AI Applications, ¹⁰Security Breaches, ¹¹The Verge Survey, ¹²AI for Business Survival
¹³Gloat AI, ¹⁴TextRecruit, ¹⁵Arya, ¹⁶Liveperson, ¹⁷DigitalGenius, ¹⁸Cogito, ¹⁹Unilever, ²⁰Erie Insurance, ²¹BioMind, ²²CHAIN, ²³Zoomi, ²⁴Iris, ²⁵BoomTrain AI, ²⁶Artcoolo, ²⁷IBM Watson, ²⁸Digital Barriers