How AI is Becoming Essential to Digital Transformation

The field of artificial intelligence (AI) and machine learning has made leaps and bounds over the past few years and as a result, more and more organizations are incorporating these tools into their day-to-day business. When it comes to moving toward advanced digital solutions and better efficiencies through digital transformation, AI has become a key part of the process. Here are some of the ways AI is now essential to digital transformation:

Going Beyond Automation

A common digital transformation is for an organization to move from a manual system to an automated one, especially for repetitive tasks involving data collection or reporting, for example. With the advancements made in AI, it’s now possible to go beyond simple automation and utilize tools that better understand your data and the systems to which they are interconnected. AI can even handle input from various sources such as IoT devices, sensors, and smart technology devices. Not only can AI collect that data, but it can help establish connections between different elements and make it easier for your team to use that data to see trends and make better business decisions.

Data Analysis and Insights

The field of analytics has made great progress alongside AI because these tools have become very good at analyzing large swaths of data and helping people make sense of it all. Advanced analytics have become much faster and easier to obtain, helping organizations make better decisions as well as predictions for the future. AI has also made it much easier to create user-friendly reports and visualizations, contributing to even greater accessibility and ease of use. Not only has this transformation been a boon for businesses taking advantage of access to more information for a competitive edge, but it can even help guide decision-making about further digital transformations through predictive analysis.

AI and the Cloud

Artificial intelligence is quickly becoming inextricably linked with cloud technology. AI is now commonly used to help with resource management, such as allowing cloud services to devote more processing power to resource-heavy customer activities on as as-needed basis. It is also helping cloud customers become better at file management by making useful connections and suggestions as well as assisting with backing up important data. For organizations that were reticent to join the cloud, the pressure has become even greater because they are missing out on more than the cloud now. Those that want to stay competitive and take advantage of the best AI tools will likely be forced to finally take on a digital transformation by moving to the cloud at last.

Generative AI

With the explosion of AI tools like ChatGPT, Jasper, AlphaCode, and so many more for all sorts of tasks, generative AI has gained a foothold in many organizations. For these businesses, it’s only a matter of time until they must fully embrace generative AI tools to make tasks easier for their teams – especially when employees are already using them. This sort of digital transformation should be approached with careful planning, but can have a meaningful impact by saving time and money. Once again, the danger of being left behind as competitors embrace these tools will mean a rapid adoption for many.

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