The inherent value of data is increasing, and that value is stimulating the Internet of Things (IoT) advanced analytics market, with the emergence of accessible out-of-the-box and off-the-shelf machine learning (ML) and artificial intelligence (AI) solutions.
More computing power is moving to the edge of mobile networks and it’s going to be amazing. 5G Edge Computing will provide a foundation for the development of enterprise use cases and industry vertical applications. To capture the value at stake, Communications Service Providers (CSPs) will use new data.
Intelligent Automation in Business Processes (IABP) includes solutions that use a combination of Robotic Process Automation (RPA), Artificial Intelligence (AI), and advanced analytics to improve business processes. The IABP market, which grew 65% in 2019, will endure muted growth in 2020 due to COVID-19.
via Everest Group
“Data users can spend between 30 and 40 percent of their time searching for data if a clear inventory of available data is not available, and they can devote 20 to 30 percent of their time to data cleansing if robust data controls are not in place. Effective data governance can alleviate these hassles.”
“As a data-driven culture is more a factor of influence than of control, spread the word about how data and analytics can help drive business results across business units. Data and analytics is not a technology implementation — it is a change management initiative.”
Data and analytics technology will help to accelerate renewal, drive innovation and rebuild society over the next three to five years. Savvy digital business leaders will leverage their ongoing IT investment that enables recovery and reinvention.
More CIOs and CTOs are seeking actionable insight from the new technologies that are driving digital transformation within the industrial and manufacturing sectors. Manufacturing plants generate mountains of data throughout the day, every day. That data is a valuable asset.
Half of U.S. healthcare providers will invest in robotic process automation (RPA) in the next three years — that’s up from 5 percent this year according to Gartner. The need to optimize costs and scarce healthcare resources during the pandemic is advancing RPA adoption.
By 2024, IDC expects this ratio to be 1:10. While the COVID-19 pandemic has impacted the creation of new unique data, the increased consumption of replicated data has fueled the continued growth of what IDC calls the ‘Global DataSphere’.
Artificial intelligence and machine learning (ML) solutions can help drive value, transform businesses, and outperform the competition. But it’s challenging to navigate the lifecycle of developing, deploying, and maintaining ML models and AI solutions.