Applications of Artificial intelligence & Machine Learning in business
Artificial Intelligence works successfully in data protection, AI allows companies to detect vulnerabilities or anomalous user behavior in such business applications as ERP or Financial systems, Machine learning can be used to predict Vulnerability Exploitation, It can predict if a vulnerability in a piece of software will end up being used by attackers, This allows us to stay days or weeks ahead of new attacks.
Applications of AI & ML in business
Artificial intelligence (AI) and machine learning (ML) can benefit your business, there is a myriad of applications for these technologies that you can implement to make your life easier, AI-powered tools and automated systems can help your company improve the use of its resources, with visible effects on your bottom line.
You can use machine learning and AI to build intelligent conversational chatbots & voice skills, These AI-driven conversational interfaces are answering questions from frequently asked questions and answers, helping users with concierge services in hotels, and to offer information about products for shopping, Advancements in deep neural network or deep learning are making many of these AI and ML applications possible.
AI can be used to cut energy use and reduce energy costs for drilling, crude and natural gas transportation, storage & petroleum refining operations, The AI application can learn and predict future energy load at levels as granular as a single blending activity, AI applications can reduce waste, reduce peak demand and cut costs.
AI can be used to better analyze customer responses to surveys and activities over time, AI can be used in research and development of cross-layer dependency mapping and cross-layer validation techniques, utilizing both knowledge-driven analytics and ML.
Machine learning-powered billing rules can maximize credit card processing success rates for recurring billing, By identifying trends in declined credit cards, and fraud patterns that lead to chargebacks, So, You can raise revenue with little human interaction, Advanced AI has the distinct ability to identify and leverage behavioral analytics to understand the intention behind communication.
Consumers demand shorter delivery waits from retailers and retailers will expect the same from manufacturers and distribution centers, Autonomous trucks and robotic picking systems allow supply chains to make fulfillment seven days a week, the shipping term “business days” will become obsolete as consumers expect delivery on nights and weekends.
The companies can employ AI and machine learning in Chatbots, Dynamic marketing emails, Predictive customer service, Dynamic pricing, Ad targeting, Lead scoring, AI-generated content, Voice search, Predictive analysis, and Smart content creation.
Artificial intelligence can be used in healthcare, business, and gaming, AI-powered chatbots in enterprises will see an influx of people get more comfortable with how AI can actually benefit businesses versus, say, take away their jobs, AI can be incorporated into interfaces to change how they receive and understand data.
Chatbots are always on, delivering smart and flexible analytics through conversations on mobile devices using standard messaging tools and voice-activated interfaces, This dramatically reduces the time to collect data for all business users, thereby accelerating the pace of business and streamlines the way analysts use their time, preparing companies for growing data needs of the near future.
In the business world, artificial intelligence allows businesses to work smarter and faster, doing more with significantly less, As technology and society continue to advance, more organizations are looking for powerful, sophisticated solutions that will improve and streamline operations.
Many websites offer some form of ‘chat’ functionality where you can talk to a customer support representative or sales representative, it is some form of automated AI that begins these conversations, As these AI chatbots can understand natural language, i.e, human conversation, they can assist customers in finding out what they need to know, extract information from the website, and direct them to the appropriate web page or person for further support.
Uses of AI in workplace communication
Current business communication is overloaded with content, channels, tools, and so-called solutions, depriving individuals (and companies) of hitting targets while also harming work-life balance, Artificial Intelligence will help businesses improve communication internally and externally by enabling individual personalization for each professional, allowing for enhanced focus and increased productivity.
Human Resource Management
Artificial Intelligence and Machine learning are going to drastically and irrevocably change how HR and recruitment work in every company, HR is likely to be one of the first areas of business that will benefit from AI, because there are tons of top quality data in HR, HR is one part of any company that is both essential and feels the pressure of time.
If aspects of recruiting and HR job can be automated, the HR workers can have the freedom to directly work with people in business or potential hires, spending the quality human time necessary for a great HR department.
Artificial Intelligence will take out all of the worst elements of every HR professionals job (mundane screening, time-consuming paperwork, and annoying data entry) as well as deliver powerful tools and insights are a bonus to make their work better, HR’s automatic generation of top quality data and the incredible benefits of AI make it one of the first places to experience the 4th industrial revolution.
As cyber-attacks increase in frequency and more sophisticated tools are used to breach cyber defenses, human operators are no longer enough, Top firms across the world are investing heavily in cybersecurity to ensure their data is protected, Real-time threat detection, mitigation, and ideally, prevention, are needed for businesses.
AI can deliver great quantities of data by using machine learning algorithms and feeding those algorithms, IT and security experts can teach the AI solution to monitor behavior, detect anomalies, adapt and respond to threats and issue alerts, AI has quickly become a key component in a business’ cybersecurity infrastructure, providing a multi-layered security strategy that is robust and sophisticated.