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The tone of an enterprise is set by its leaders. If leaders don't have high emotional intelligence, it might have far-reaching results, such as lower employee engagement and more turnover.

In the modern business landscape, a Chief Artificial Intelligence Officer (CAIO) role is crucial, but it must be established carefully to avoid any potential turmoil. Although there are some overlaps between the CMO and CDO roles, having a dedicated AI leader would certainly result in more hits than misses.

Every project begins with the best of intentions and efforts, but many of them go off course due to poor engagement and missed deadlines. It's not unusual for a project to go off track. Once that happens, identifying and addressing the pain points of the project is of utmost importance.

Using AI and Data Analytics, organizations can hope to strengthen their supply chain operations that have been severely disrupted due to the pandemic and number of cyber-attacks.

There are some basic human pitfalls to avoid while embarking on a digital transformation project. These stumbling blocks make operations more difficult and, as a result, contribute to an inefficient digital transformation.

Let's look at three major obstacles to hybrid work implementation and how to solve them.

Process automation offers greater efficiency and cost savings. Still, many organizations fall into the same missteps on the path to implementing process automation, making it harder for their teams to reap the benefits of the technology. Here's a look at three ways businesses get it wrong and what to do instead.

DevOps is becoming the new operating model for IT in many enterprise undergoing digital transformations. In order to implement DevOps, most organizations will need to transform their processes, technologies and their existing workforce.

Remote and hybrid work settings are here to stay for the near future, and they pose a challenge to established corporate practices. Organizations can adapt to dispersed workforces and solve related issues by implementing cloud-based solutions.

Successfully transitioning the legacy platforms to incorporate the latest digital technologies requires definitive IT modernization.

In the domain of workplace training, advancements in interactive-immersive technologies have opened up new opportunities. Thousands of companies worldwide are using immersive technologies to enhance their training capabilities.

Machine Learning (ML) systems are complex, and this complexity increases the chances of failure as well. Knowing what may go wrong is critical for developing robust machine learning systems.

No matter what the pandemic has thrown at organizations, why did some teams acclimate and come back stronger and quicker than others? Resilience is the answer.

Here are a few strategies for leaders to survive and prosper in an unpredictable environment.

A recent report from Kong Inc. revealed that 75% of IT leaders are afraid of competitive displacement if they do not keep up with the pace of digital innovation.

Cloud service providers can assist IT professionals in laying the groundwork for success, such as increasing deployment speed and assuring future flexibility. However, the landscape is intricate.

Cloud computing expenses can escalate in a variety of ways over time, but by being proactive about managing investments, organizations can prevent costly surprises and instead, focus on providing the features that users need.

Companies employ AI-powered algorithms to price things based on data such as competitor pricing, inventory levels, and customer response to sales campaigns. Using Artificial Intelligence (AI) may assist boost profit margins, generate loyalty from price-conscious customers, and remove the complexity of manual price determination.

The advantages of AI and digital transformation efforts may be received with fear or scepticism at first. However, it becomes evident that digital transformation efforts are worthwhile when looking at how technology can help companies improve operations, decrease risk, and save money.