With the rising competition in the market, enterprises today no longer want to limit their abilities to traditional automation. In the latest technology trend, organizations are looking for the intelligent automation tools to solve business challenges, increase productivity, efficiency, and accuracy which results in a benefit to the organization.
CIO’s and IT leaders are finding the innovative way to leverage the technologies such as intelligent automation, machine learning and predictive analytics, which are the fastest gaining technologies in current market. Artificial Intelligence (AI) promises to the organizations for deep insights, analytics and business solutions like never before.
As per reports, 46% of IT decision makers report that advanced analytics, enabled by AI, big data, machine learning and deep learning have significantly impacted their digital innovation initiatives over the last two years.
Today customers demand for a customized experience due to the on-going technological advancements. This is possible through deep learning and advanced analytical abilities. These technologies not only help you to monitor the moves of your customers but also allow you to accurately predict their next moves.
Intelligent automation technologies offer the opportunity for improved customer experience and on-demand delivery by delivering what customers want and when they want it. This intellectually acts like a human brain so no human intervention required for automation.
In the near future, the challenges for organizations are to overcome the gap between the time taken to successfully implement automation technologies, such as AI and intelligent automation and the actual time taken to reach maturity.
Secondly, there is a lack of understanding of the potential benefits for AI to solve the business problems. The customer is concentrating on adopting AI as a technology than applying AI as a tool to solve existing problems.
According to the recent IBM report on Shifting toward Enterprise-grade AI, 93% of outperforming businesses are considering AI adoption, and many organizations are moving beyond the question of adopting AI technology, to how they are going to implement it.
Below data collected will help in closing the gaps and finding the opportunities, trends and benefits of AI and other intelligent technologies in different industries like Life Science, OIL & GAS, Mining, Defense, Nordics, Pharma etc.
Which Intelligent Enterprise technologies will have the most impact on the organization?
According to Inc. one of the biggest force transforming business and society in 2020 is embedded intelligence, making products, bots and business applications smarter than ever.
Below are the technologies which we think will have the most impact on businesses in 2020.
| Hyperautomation | Machine learning |
| Chatbots or virtual assistants | Text & speech analytics |
| Robotic Process Automation (RPA) | Artificial intelligence |
| Predictive analytics | Smart devices |
| Cognitive analysis or computing | Internet of Things |
Where the AI and intelligent automation tools could have the most significant impact on the business?
Business leaders are still not sure where exactly to apply AI to reap the biggest rewards. Integrating artificial intelligence solutions across the business will not be a cost effective affair. Significant investment will be needed in talent and technology upgrades as well as sweeping change initiatives to make sure AI drives value to business.
What are the biggest challenges to implementing an intelligent business strategy in the organization?
Implementing RPA in your company might sound ideal and yes, it is. RPA can help companies get rid of mundane erroneous tasks and increase productivity and efficiency significantly.
Unfortunately, it is not as it sounds. Implementing RPA in the organization has dozens of challenges we’d like to walk you through. Check out this list of challenges likely to come while implementing RPA.
- Rapid changes in technology
- Culture
- Recruiting the right people
- Getting maximum value from investments
- Upgrading/working with legacy systems
- Competing priorities
- Linking initiatives to ROI
- Gaining senior management buy-in
- Assigning internal responsibility
- Lack of suitable vendors
In conclusion, though there are the biggest challenges to implementing an intelligent business strategy in the organization, there are a lot many benefits of moving towards intelligent solutions. The organizations should use SaaS platforms which combine RPA and AI to deliver value as a strategic asset across the organization. This will enable them to evolve as the technology matures continually. Hyperautomation technologies are very important to be able to cater to the growing needs of the digitally sound customers.
