Digital transformation is crucial for companies to stay competitive in today’s fast-paced and ever-changing business environment. This blog discusses the importance of digital transformation, and the enterprise automation trends in 2023 and beyond that will help organizations adopt and scale their digital operations.
The last couple of decades have proved one thing for sure — digital technologies are key to growth and the delivery of better products and services to customers, across industries is here to stay. Digital transformation is no longer an optional luxury; it has become essential for survival. Going forward, companies will have to leverage the power of technology to outperform their competitors.
Enterprise automation is a critical aspect of digital transformation. From managing operations and supply chain to analyzing business data for strategic decision-making — you can infuse automation into every layer of your business to save on time, effort, and money. In this blog, we will discuss the future enterprise automation trends in 2023 that we expect to see.
Why is digital transformation important?
Digital transformation refers to the fundamental shift in how a company operates and delivers value to its customers. This means a shift from legacy IT systems to a digital model of operations using the most current technologies like cloud computing, enterprise mobility solutions, and cloud-based ERP systems depending on the industry and business vertical.
Considering the quickly rising popularity and urgency of digital transformation, it is essential for enterprises today to embrace it to stay competitive in a fast-paced and ever-changing business environment. One of the most significant advantages of digital transformation is the ability to classify and analyze data to make better-informed decisions. Automation technologies are essential to this process, as they can help you to collect, analyze, and act on data more efficiently. By automating routine tasks and freeing employees’ time to focus on higher-value activities, you can increase productivity significantly.
What are the top enterprise automation trends in 2023?
Hyperautomation and Intelligent Automation
Hyperautomation involves the use of advanced technology tools such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP), to automate any process and workflow that can be automated.
Hyperautomation and intelligent automation involve the use of cognitive technologies to automate more complex tasks that were previously performed by humans, such as decision-making and problem-solving. It also enables the automation of entire end-to-end business processes, including the ability to learn from data and improve performance over time. Intelligent automation can bring a number of benefits to organizations, including increased efficiency, reduced costs, improved accuracy, and the ability to scale operations due to the reduced dependency on expensive, physical infrastructure.
Low-code and no-code automation
AI is the backbone of codeless automation testing solutions, while visual modelling makes it easy to make automation test cases faster, speeding up adoption and results. Testers can make test scenarios without a lot of technical knowledge, and by automating repetitive tasks, they can save time.
Making the test cases without code allows non-technical users to quickly see how they work and the results they give. Since the learning curve is lower with no-code or low-code automation platforms, making test cases and implementing new solutions is very quick and easy.
IT security automation
Automation can significantly improve IT security by enabling rapid threat detection and response, consistency and standardization, reduced time to remediation, improved compliance, and enhanced visibility and control. With automated monitoring and analysis tools, potential threats can be identified in real-time, enabling security teams to respond quickly and prevent or mitigate the impact of an attack.
Automated security tools can prioritize vulnerabilities based on their criticality and potential impact, making it easier for security teams to focus on the most critical issues first, significantly reducing the time it takes to remediate vulnerabilities and minimizing the window of exposure.
Chatbots and Virtual Assistants
Chatbots and virtual assistants offer a more personalized and efficient way to interact with your customers. You can make your clients feel connected at all times without actually hiring a full-fledged customer service team.
Chatbots can be used to automate customer service interactions, like answering common questions or resolving simple issues. Virtual assistants, on the other hand, that run on natural language processing (NLP) and machine learning algorithms can be used to automate more complicated tasks, such as understanding and interpreting user queries and responding with relevant and accurate information. They can also integrate with various applications and services to automate workflows and serve as digital assistants to human employees.
Predictive maintenance with automation
Predictive maintenance is a method that involves predicting when a device or system is likely to fail and performing maintenance tasks before the failure occurs. By using automation and AI, predictive maintenance becomes more efficient, effective, and accurate. By collecting and analyzing real-time data, predictive analytics, condition monitoring, predictive maintenance scheduling, and asset management, these technologies can help organizations prevent downtime, improve operational efficiency, and optimize maintenance operations.
What is the impact on technology investment and tech hiring?
If the entire premise of this development is a clue, then we can take a calculated guess and say that enterprise automation will have a positive impact on technology investment and tech hiring.
According to research by Markets and Markets, the global market for business process automation is expected to grow at a CAGR of 12%. From a valuation of $9.8 billion in 2020, it is predicted to reach $19.6 billion in value by 2026.
It’s a chain effect, really. If all your peers are investing in enterprise automation technologies, you will have to as well. Otherwise, you risk falling behind your competition, and you will be unable to keep up with the increasing demands of your customers.
One of the biggest areas of technology investment will be in the development and deployment of enterprise automation software. Companies will need to invest in developing solutions that can automate routine tasks and improve efficiency across operations. This will require investment both in software development teams and in upskilling existing employees to work with these new technologies.
Apart from that, there will also be an increase in the demand for AI and ML experts. As these technologies require specialized knowledge and skills, businesses will need to invest in hiring and training experts in these areas.
Are you looking to deploy bespoke digital technologies and solutions for your organization? VBeyond Digital can help your enterprise successfully make the shift to a digital operational model with strategic and outcome-driven digitization projects by serving as your end-to-end solutions implementation partner. Get in touch with us today.