6 Top Technology Trends to Watch – DevOps.com
Technology trends simply cannot be ignored in today’s dynamic environment. As the world enters a post-digital era, organizations are exploring disruptive technology styles. Artificial intelligence, machine learning, intelligent process automation, advanced analytics, and robotic procedure automation (RPA) are among the top DevOps technology trends to watch. According to a survey by Accenture, 94% of IT and business experts reported that emerging technologies have accelerated firms’ innovation pace in the last three years.
Winning This Decade in the Context of the Next Normal
This decade continues to witness further development in technology, as innovation transforms industries such as insurance, banking, plus healthcare. It is crucial to look beyond seeking operational efficiency and decreasing cost — particularly while customer expectations, regulatory requirements and company landscapes are usually rapidly evolving.
Take a look at six vital technologies trends that have gained momentum in the current hyper-digital globe:
Trend 1: Artificial Intelligence (AI), Machine Learning (ML) – Integrating Intelligence
Technologies like AI and ML have existed for some time, but only now have they started maturing from their perception of “interesting” in order to “organizationally effective. ” Artificial intelligence and machine learning are digital transformation catalysts, and some from the capabilities that fall under this technology include pattern recognition, natural language processing plus sentiment analysis. Artificial cleverness has become increasingly important because it provides companies with a competitive edge, is cost-effective and allows them to future-proof themselves.
Trend 2: Predictive Analytics – Harnessing New Opportunities
In this particular digital-savvy atmosphere, it has turn out to be crucial for organizations to employ tools like predictive analytics. An sophisticated form of data analytics, it’s used to extract information plus predict developments, behavior and activities along with precision. It is increasingly being introduced across industries as it optimizes productivity, helps understand customers better, identifies revenue opportunities plus areas of attrition. Financial institutions have already begun to deploy predictive analytics, helping them customize the product offerings, detect fraud and identify new opportunities with regard to cross-selling.
Trend 3: Low code – Accelerating Innovation
Gartner forecasts that low code application platforms will be responsible regarding 65% associated with application development activity simply by 2024. Organizations are rapidly leveraging low code in order to cater to the particular growing needs of the digital-first customers, deliver mission-critical plus enterprise-grade applications quickly and respond quickly to unforeseen scenarios.
Trend 4: Intelligent Process Automation (IPA): Unifying Processes
Another technology trend that has paved its path in the digital world is intelligent process automation (IPA). IPA is a group of technologies that work together to organize plus digitize the particular end-to-end business processes and the customer journey. The key drivers of IPA are the need for continuous improvement, retaining information consistency and bridging existing silos. The technology offers several benefits to an organization, such as reducing error rates, unifying operations, and accelerating processes, yet more importantly, assisting in streamlining employee plus customer-facing journeys.
Pattern 5: Contextual Content Services – ECM: Leveraging Context in Content
Contextual content services, an evolution of traditional enterprise content management (ECM), play the key role in powering automation initiatives. The right tools in ECM like intelligent taxonomy and cognition can bring context to company processes. Empowering users in order to make smart decisions with relevant information ensures accurate data extraction, and mitigates risks by managing the overall content lifecycle.
Trend six: Robotic Process Automation (RPA): Improving Productivity
Robotic process automation will be rapidly becoming an integral cog inside the wheel of the end-to-end electronic journey associated with organizations. RPA can be the last mile of process software — or in between — but is usually key to streamlining and optimizing customer-facing and back-office tasks. The use of bots helps automate repetitive tasks plus liberate knowledge workers to focus on other value-added tasks. The particular capabilities associated with RPA offer several advantages, including faster turnaround times, process optimization, sustaining consistency and increasing employee efficiency.
Future-proofing the Enterprise
A close eye on the particular different technologies trends can help enterprises leverage the right tools in order to optimize their business processes and adapt to the changing market needs. Technologies like low program code platforms, superior analytics, AI, and ECM are already being implemented by several organizations to stay ahead of the competition. Ensure your enterprise is tapping into these technology trends in order to thrive in the next normal.