More and more we are seeing this in our daily business activities – market volatility means companies must make fact-based decisions faster—possibly even in real-time—to compete effectively. Real-time and predictive analytics provide a tool set to enable responses that are both faster and consider future scenarios, and deliver the added benefit of reducing risk in decision-making by ensuring that they are taken with the most up-to-date information available.
But the benefits of real-time and predictive analytics can only truly be realized if an organization frees itself from manual processes using automation. Investment in analytics and automation must go together to achieve its true potential.
Considering the latest trends that came along with unexpected complexity, little flexibility, and additional maintenance, automation is pushing forward the agenda for the Digital Transformation.
And with the Digital Transformation knocking doors thru aggressive business practices from competitors, manual processes are significant obstacle to achieving business goals.
The aim of automation is to help enterprises realize their potential and switch focus from just “keeping the lights on” through manual development process, to growth generation triggered by automation technology. A dedicated automation approach to achieve the intelligent enterprise involves software components, machine learning and process automation.
When we talk about software components we basically are talking about engines that provide automation relying on highly specific process knowledge. This is critical – we are not talking about the execution of a single or multiple task but the business knowledge of any given organization. You can change your deliverables but you cannot ignore the core of your business – the knowledge that is the foundation of a company.
The other pillar of this approach is the process automation. Here, we are talking about a software that operates without the support or human intervention to create a deliverable based on helping to run repetitive, rule-based, monotonous tasks and bridging gaps for efficiency. It compliments the software engine that defines the knowledge base, in conjunction with the software automation executing the tasks.
Finally, the concept of machine learning that involves teaching a computer how to spot patterns and make connections by showing it a massive volume of data – algorithms that can learn from experience without having to be explicitly programmed.
To get speed, to compete on the same level of those investing in digitalization, companies need to automate and the software engine is the basis of enterprise automation activities. It enables companies to shape their processes, to gain agility, and to deliver more to their customers, faster than ever before.
The digital transformation that is overtaking enterprises in all industries is further complicating the task of managing the changing workload landscape.
While software automation can be understandable, it underwent significant enhancements to address all the changes imposed on IT operations. And when talk about IT, what always comes to mind is the following: available resources, time to train resources on modern technologies, constrained budgets, and pressure form IT customers to deliver their needs sooner than never.
Therefore, many companies have the desire to change software platforms due to the changing needs of the business. These needs are imposed on IT operations overall and ultimately impact job schedulers. When asked which demands were making job scheduling more difficult, IT respondents focused on IT projects initiated by business units, deployment of big data applications, and tighter deliver time requirements. So, software automation can address these challenges.
A New Era Requires New Thinking
This is the era of Information Technology. The world has advanced much further than we think it has. We are in about the fifth generation of computers today. Movies talk about Artificial Intelligence, and Scientists are working on Artificial Intelligence projects. So, this world is becoming a fully automated world, or at least we are driving in that direction at warp speed.
Why not consider automation with artificial intelligence while searching for the best tools to develop apps in this digital world?
Consequently, keeping all things in perspective, these are facts that companies cannot ignore that impact bottom line results:
- Time to deliver apps to end users in your organization
- Cost to train and update existing resources on modern technologies
- Cost to keep talents who understand legacy technologies
- Time to react to competitor’s aggressive tactics to win business
- Resources to manage multiple requirements in multiple environments
- Time and cost to recruit talents with knowledge on modern technologies
- Cost to manage legacy and modern technologies with lack of resources
- Cost to maintain solutions and deliver new ones
I could list more facts that easily justify the need to automate process and development of applications. Software automation for software development is changing from opportunity to mandatory for companies facing the digital transformation. It is necessary for companies to successfully address the challenges imposed upon them by disruption from competitors.
Traditional manual development using JAVA, C# .NET, Ruby, Swift, and any other manual program language will be at a tremendous disadvantage when compared with tools that automate software development. Here’s how automation software helps:
- Time to develop apps – could be higher than 50% the benefits using software automation processes based on AI compared with manual development;
- Could develop apps to multiplatform without the need to be an expert in those technologies – in other words the same app that is develop as JAVA could be defined as C#.NET or Swift, for example, with the need to have any expertise in JAVA or C#.Net or Swift;
- Same app developed for web base application can run on smart devices;
- The testing time is cut by half with automation;
- The time to maintain an app developed with software automation based on AI technology reduces the time by 80%;
- Optimization of resources without a major need to train or retrain on innovative technologies
Consequently, companies that are moving to software development using software automation will not only survive the digital transformation disruption, but equally will lead the market for years to come.
The Right Tools for the Right Time
For over 30 years, GeneXus has empowered developers, engineers, and artists worldwide to create and maintain simple, cross-platform, elegant software that their companies need, without the hassles of messy coding, and without spending a fortune. GeneXus creates intelligent, intuitive tools, using an AI Software Development Platform, that does all of the hard work that developers normally do, so that organizations can deliver high-quality results fast, and developers can be more productive and efficient on the job.
GeneXus creates apps for mobile, Web, Windows and legacy platforms that automatically generates and connects every required functionality, service and database, from the client-side to the server-side, in the appropriate language, with the optimal data structure.
Want to survive the Digital Transformation – think GeneXus as the main tool for software development.
Thanks, as always, for reading,