Improved Finance Management
Companies are now using machine learning technologies to automate and manage their financial processes such as payment, analysis, and invoice. Besides enabling businesses to analyze invoices in no time, machine learning tools protect all business processes. With AI and machine learning tools, companies can save on workforce and reduce their overall operational cost.
KPI Tracking and Data Visualization
Of course, companies make informed and better decisions only after visualizing their data. You won’t find data in a database when it comes to addressing issues regarding the launch of a new brand. However, decision-makers are now using machine learning tools to pose questions and get insights from the target audience before launching a new product or service. It helps simplify the process of creating automatic visual reports and reviewing business intelligence. Organizations can also utilize machine learning and artificial learning technologies to track their growth metrics.
Personalized Customer Service
Artificial intelligence can enable an organization to provide customized customer care at a reduced cost. Companies can use machine learning technology to combine natural language processing with any data related to customer service. For example, NLP algorithms and an AI-enabled Apache Spark tutorial provide customers with personal interaction. That ensures that customers get accurate answers to their queries and are satisfied all the time. Customers seem to prefer Chatbots over human interaction.
Innovate Management and Marketing
Enterprises around the world are using AI tools for management and marketing processes such as supply chain management and collecting customer data. You can also use machine learning technology to enhance the exposure of a brand and find information about it from sources such as social media. Machine learning can lead to innovation across all business spheres if managers apply the right algorithms and tools.
Top brands lose millions of dollars every year due to fraudulent practices. Fortunately, companies can now use machine learning algorithms and tools to spot exceptions and anomalies. A machine learning-enabled surveillance program can help security analysts detect and prevent any fraudulent practices on a network in real-time.
Convenient and Simpler Recruitment
Hiring and recruiting the right candidates has always been challenging due to struggles such as removing human bias, being cost effective, and finding and shortlisting the right candidates. However, AI-enabled recruitment tools automate the entire hiring process. With machine learning technologies, shortlisting the most qualified and suitable candidates among thousands of applicants is now possible.
Quality controls in many industries come with enormous costs. Quality control costs for a semiconductor manufacturer can be up to 30 per cent of the total revenue. However, using image recognition tools to automate quality control can help increase defects detection, which ultimately results in reduced costs. Unlike automated systems, AI-enabled vision systems can evolve and adapt to advanced product and service specifications.
Any hardware failure could result in production downtime and repair costs. That’s why companies are looking for tools that could aid in predicting probable failure and ways to prevent them. Auto manufacturers can now mount sensors on engines to help predict a likely system failure and stop it. Machine learning predictive maintenance tools can review and analyze signals and predict a probable failure before it occurs. Companies wish to utilize their machine learning tools to harness as many benefits as they can. Machine learning technologies are enabling companies to reduce the costs related to consumption and maintenance of energy. Cooling large server rooms with AI-enabled tools is now a little cheaper than conventional coolers.