New Tech Info

Digital transformation has become an essential step for businesses to remain competitive and thrive in the digital age. But, there’s never a one-size-fits-all formula. Each company is different, and knowing your strengths and how to use them makes the difference between failure and success. 

Ultimately, your business is the culmination of multiple key decisions. Yet sometimes the decisions and choices you thought were logical and well-informed are not. Among the worst mistakes, you can make is taking impulsive decisions and rushing your digitization process. 

To get digital transformation right, you need a curiosity-led approach that asks questions, considers stakeholder views and reconciles customer preferences with business needs.

Here are 5 questions to ask before embarking on a digital transformation journey.

What is digital transformation?

Digital transformation is an ongoing process that exploits your organization’s digital technologies to create new business processes or modify existing ones and radically change your business

In recent years, AI writing technology has revolutionized content marketing, not to mention many other businesses. These tools help you produce high-quality content quickly and easily without needing a human writer. They can also help you optimize your SEO content, making it more likely to rank high on search engine results pages.

But what are AI writing tools, and how can they help you with your content? In this article, we’ll answer those questions and more, including how they work and how they can help content marketers create high-quality content that ranks well on search engines.

AI writing tools are changing the content marketing landscape. These tools help you produce high-quality content quickly and easily without needing a human writer. They can also help you optimize your SEO content, making it more likely to rank high on search engine results pages.

AI writing programs use natural language processing (NLP) to

Kubernetes (K8s) is an open-source project that aims to orchestrate containers and automate application deployment.

Currently maintained by the Cloud Native Computing Foundation, Kubernetes manages the clusters that contain the hosts that run Linux applications.

These clusters can include cloud hosts, so Kubernetes (K8s) is the ideal platform for hosting cloud-native applications that require rapid scalability, such as streaming data in real-time via Apache Kafka.

Deploying a new version of an application is always a risky process. There are several manual or semi-automated steps, and in case something goes wrong, rolling back to the previous version is super complicated.

Now imagine that with an application comprised of dozens of microservices, each with a different lifecycle, different release dates, and different technologies.

This would be the nightmare of any development team. Therefore, it eliminates many manual processes that a containerized application requires, making microservices projects easier and faster, for example.

How

“Produce better-quality products but at less operational cost and with efficiency” is a timeless goal for the manufacturing industry.  The role and future of AI and ML in the manufacturing industry are promising. AI and ML can enable the manufacturing industry to scale their businesses and help them grow.

The “Smart Manufacturing” revolution is already making it easier for businesses to attain this objective than ever before.

According to many experts, artificial intelligence and machine learning are expected to affect factories and the manufacturing sector in the future significantly. 

Artificial intelligence in the manufacturing market is valued at USD 2.3 billion in 2022 and is anticipated to be USD 16.3 billion by 2027, growing at a CAGR of 47.9% from 2022 to 2027.

Data has become a precious asset, and capturing and keeping it is becoming more accessible than ever, thanks to big data analytics.

Artificial intelligence and machine