Enterprise operations are changing in a big way – and changing for better.
The latest technologies have made it possible. Whether it’s going from migrating infrastructure to cloud, or implementing in-house or open-source powered software products or focusing on deep data analytics, complex business processes are streamlined thanks to breakthrough technologies.
The technologies that are high on focus now are Artificial Intelligence and Machine Learning.
These tools are not only giving organizations insights into making operations more productive, but also leading the business directions.
Let’s see how these new technologies are impacting business operations across the world.
Cloud computing is simply an internet based computing service where you store your servers, databases, networking and software applications on cloud drives and operate from there.
The legacy infrastructure models, where all these tools are hosted on local servers and storage, proved to be costly and risky. So businesses across the world are increasingly migrating their infrastructure and operations to the cloud.
One of the biggest benefits of cloud computing is that you don’t need to invest heavily on infrastructure. You pay on a subscription basis and only pay for what you use. This reduces your up-front costs, makes your infrastructure more efficient and you can scale as your business grows.
And you get world-class security and customer services from giants such as Amazon, Microsoft and Google.
With the major technology players like Google, Microsoft and Amazon betting big on cloud computing, the technology has opened avenues for businesses in terms of worrying less about infrastructure management and focusing more on developing their products and services.
Google Cloud platform, Amazon Web Services (AWS) and Microsoft’s Azure are at the forefront in providing customizable cloud platforms. And more players are also jumping on the Infrastructure as a Service (IaaS) bandwagon.
Artificial Intelligence and Machine Learning
Modern business applications are becoming more robust thanks to incorporation of Machine Learning (ML) and Artificial Intelligence (AI) technologies into them. (And IoT is coming too.)
The Machine Learning and Natural Language Processing (NLP) technologies are helping businesses deep-dive into their huge data and derive valuable insights. These insights are helping them in serving their existing customers better and identifying new ones.
One of the known examples of Machine Learning is how Facebook suggests friends based on your current friends and your activity. Another example is how Amazon suggests products to you based on your purchase history.
Machine learning is a subset of a broader technology called AI.
AI is a technology that builds intelligent machines that simulate human behavior and perform such tasks. Like if you have used Siri or Google Assistant, you’ll know that the technology of Artificial Intelligence is behind them.
When it comes to enterprise applications, the AI performs complex tasks such as enhancing
cybersecurity, optimizing supply chains, upgrading customer services and handling manual tasks to help employees focus more on productive projects.
Data is a very important tool for any organization because it gives a complete picture of how its business is running.
But as an organization grows, the data becomes more complex and analyzing the data to derive conclusions becomes a highly tedious task.
With the implementation of advanced AI and ML technologies into enterprise applications, data analytics has become immensely useful.
Because they provide deeper details and micro-information about an organization’s operations, management, customer behaviors and sales processes.
So far, we discussed cloud computing, AI and machine learning and data analytics. Now let’s go back to our original question – how the modern enterprise software is changing business operations?
The simplest answer is – by incorporating all these technologies in enterprise applications.
And that’s what we at LeoKraft do – developing AI-powered enterprise applications that run on cloud and come with built-in data analytics tools.
Because these technologies are going to power a big number of SMEs and large scale enterprises across the world in the coming years.