Intelligent automation (AI) is one of the most popular topics of our time. What Makes Automation Smart? It’s fresh? Why the new focus? Bill Gates believes automation is a double-edged sword when he says, “Automation designed for efficient operation will increase efficiency. … Defects will automatically affect inefficient performance.
AI is based on a combination of robotics, intelligence (AI), and business process management (BPM).
But before thinking about HAL since 2001: A Space Odyssey, J.A.R.V.I.S. from the scenes of Iron Man or Terminator 2: Judgment Day, first of all, a chat. AI is not new; The automated manual system has existed since the beginning of the industrial revolution. This helps to reach the market faster, reduces errors, and increases efficiency. Over time, automation has taken control of software development, process reliability, manufacturing, finance, healthcare, and all aspects of daily life.
Robotics, artificial intelligence, and “smart” automation of BPM create better business processes and systems that can think, learn and adapt slowly as they go along, for example, organizing millions of pages and applications in a single day, detecting errors, and suggesting settings. or advice.
What makes automation smart, people can’t
AI facilitates the automation of information services by mimicking the capabilities of human resources. It comprises four main faculties: vision, execution, language and thinking, and learning. Each of these energies encompasses various technologies that are used independently or in combination to support each other.
One of the most cited examples of AI is fraud detection and prevention in the BFSI department. Robotic Process Automation (RPA) maximizes the speed and accuracy of robotic identification systems. Because RPA can consume months of data in hours and make a difference, teams can’t control the speed and volume needed to solve specific problems. However, speed and performance are the keys to deceptive control.
The answer is in AI and BPM plus RPA. IA can organize the process end-to-end. Pascal Bornet states in his book, Intelligent Automation, that AI can help increase automation rates by nearly 80% and can help increase the time to set up fraudulent programs and get customer feedback by up to 50%.
While RPA offers great benefits and quick fixes, smart technology offers long-term benefits to businesses, users, and customers.
AI and digital transformation
AI adoption is growing rapidly, with over 50% of the world’s largest companies accepting quickly. The benefits are present in many business processes. For instance:
• A production process that recognizes and makes changes based on the law.
• Chatbots learn from customer interactions that increase engagement.
• Sales and marketing systems predict customer travel and identify expectations
The future of the profession: proverb or better
There has been a lot of speculation about AI and the future of the service. The main argument is that robots get jobs from humans. My argument is that even if he changes jobs, it doesn’t mean he will lose his job.
The company’s transformation is helping to improve the “blue-collar” in manufacturing and agriculture. Similarly, AI performs multiple functions as well as white and dense layers. A recent IBM report showed that 90% of executives and companies that use AI believe it will create more valuable jobs than employees.
So no, we’re not in a dystopian world ruled by crazy robots! AI means better performance, better job elimination, and better user benefits.
The promise of a better life
In 2018 alone, more than $5 trillion (6% of global GDP) was lost to fraud. Drug abuse in the United States is estimated to have an economic value of nearly $1 trillion, of which 86% are structural faults. A 2017 study by Medliminal Healthcare Solutions found that 80% of US healthcare costs have a minimum margin. – setting aside $68 billion for unnecessary health care each year.”
Now, suppose we can save $5 trillion worldwide by implementing AI. It means:
• The global budget allocated to education could more than double.
• Global health spending could increase by more than 70%.
• Investment in the environment can be increased by almost 20 years.
Sign up for smart automation
However, using AI is not the same as making changes. There are several key elements that an organization must undertake in its attempt to logically adapt.
• Feature. To master AI effectively, business leaders must understand human-machine interactions. Teams must manage not to disrupt other business segments and then incorporate AI seamlessly into existing programs. Instead of looking at system-wide AI, find out where it offers the most value. The auto-stop system will not solve the problem. AI will only pay for a stable system
• Change management. Installing AI is not easy. There will be a lot of resistance in delivering AI in your work. Creating a change management plan, execution map, business model, and key metrics for your ROI will help you. Contact key players from the start to ensure they are accepted and trained by your staff to work with AI.
• Government policy. Creating a political system helps determine who will watch. As AI activity increases in your organization, so does governance. Creating a system will help you evaluate performance and pinpoint errors and omissions. This is a bad recipe if you don’t have the rules and controls to make sure the AI makes the right choices. The reason is mostly for people with industry experience to “do their job” and do it well.
The future of intelligent automation
The future of AI will lead to structured, industrial models that will benefit business leaders in identifying high-quality, useful, and creative services for employees. Predicting a brighter future means adapting our technology, skills, and education to suit the future of the workforce.