A Ride to the Latest Trends in Automation 2020
Published by : Industrial Automation
Automation is witnessing continuous development, which makes it a challenge for the companies to stay in a competitive environment.
Broad number technological companies have introduced new techniques and technologies that come to the forefront, people are uncertain about using them initially, but once they become aware and prove to be valuable and time-saving, people start using them more. Also, when the implementation of such advanced techniques and technologies become widespread, they tend to become trends across the global market.
Automation is one of those trending words that it should try not to be scared of but instead be prepared for.
5 Long-Period Futuristic Trend of Automation
• Amplified Use of Autonomous Mobile Robots in Logistics and Manufacturing
• Expanded Use of Machine Vision
• New Applications for Robotics Enabled by AI
• Grasping Advances
• Continued Growth of Collaborative Robot Applications
A few vital points stick out:
1. Digital transformations in the global market are predicted to run behind schedule and over budget
2. Hyperautomation integrated with AI/ML is reestablished as a top technology paired
3. Introduction of new technology, namely, Hybrid Digital Infrastructure Management (HDIM)
Latest Automation Predictions for 2020 and After
• By 2021, there are over 75% of midsize and large organizations will have adopted a multi-cloud with a hybrid IT approach.
• By 2022, it is expected that public cloud services will be significant for 90% of corporate innovation.
• By 2023, over 75% of all databases will be based on a cloud platform, and this expected to reduce the DBMS vendor landscape and growing complexity for data governance.
• Over 2023, computational resources integrated with AI will raise the growth 5x from 2018.
• By 2023, almost 35% of all midsize and large companies will influence by a hybrid cloud-to-edge computing deployment model for as a minimum one IoT project.
• By 2022, over 50% of companies will generate data and managed outside the data center or cloud, up from less than 10% in 2019.
• By 2024, at least 50% of all of the company’s applications in manufacturing will be IoT-influenced.
• By 2023, there will a 30% rise in demand for RPA in the front-office functions (sales and customer experience).
They are considering that the overall trend in IT environments is continued growth. It is estimated that if more data is collected and gathered, data management practices will enhance, and more resources will be needed to process the information that further trains AI and ML technology. In conclusion, artificial intelligence will be expected to put more pressure on the company’s workload management capabilities, pushing companies to integrate more advanced automated systems and workload management solutions in daily business activities.