Understanding employee requirements and everyday challenges is the first step to retaining and developing a company's workforce and increasing productivity.
CIOs are walking new ground as they seek to improve competitive business advantage in an economic downturn - balancing the pressure to reduce capital expenditures against unprecedented opportunities to increase productivity and stay on the forefront of innovation.
CIOLook is Global Online business Magazine in the world, Platform for Entrepreneurs, business owners & innovators who drive business around the globe.where they can talk about leader's viewpoints & ideas, latest products/services, etc
Inside this Visualization White Paper:
Interactive visualization: Clear and effective in communicating the content
List of DOs and DON'Ts in data visualization
Guide to choose the right chart type for successful data visualization
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.
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.
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.
While the pandemic did help the CIOs to gain mainstream acceptance, many organizations still hold on to their past perceptions. Therefore, CIOs must take it upon themselves to strengthen their position within the organization.