As the economic slowdown continues, CIOs, CFOs and enterprise technology teams continue to grapple with frozen budgets and how their enterprise will keep their operations functioning as they attempt to move forward with crucial digital transformation efforts, and possibly shelve those initiatives deemed less critical.

I think a lot of technical people (CTOs, senior developers, etc.) try to pretend like marketing doesn't exist — or that it's just not relevant. Coders speak code. Marketers make messaging — and they never need to meet in the middle. Right?

In a highly competitive economy, it's often difficult to attract and retain top talent. This is especially true in the ever-evolving tech industry. In a field that changes so quickly, it's hard to find good workers who also have the necessary skills for the job.

As more companies move toward digital transformation and implement more complex technology infrastructure, the onus is on IT leaders to restructure their departments to meet the demand. It’s a complicated process that requires a deep understanding of the needs and potential pitfalls.

In an analysis of more than 16,000 artificial intelligence (AI) research papers undertaken by MIT’s Technology Review, reinforcement learning emerged as one of the leading trends in the past few years, following a similar rise of deep learning.

It has always been hard to assess how widespread the use of Augmented Reality (AR) and Virtual Reality (VR) technology actually is. However, recent research released by IDC indicates that despite problems in the enterprise created by the Covid-19 outbreak this year, it is likely to be a good year for AR and VR vendors.

Most organizations struggle to scale their AI pilots into enterprise-wide production, which limits their ability to realize AI’s potential business value. So what do organizations need to do to ensure successful AI roll-out?

Every IT project you undertake should answer a fundamental business question. Does this project generate more revenue? Does this align with our company strategy? Will we increase our profit?

But I’d like to introduce an overriding question, maybe even more fundamental than the others: Does this project deliver Customer Value? (Keep in mind, when it comes to IT, the customer can be both internal or external. The same questions need to be asked.)

When leading a tech team, it’s important to measure your team’s overall productivity. This metric can be used for major business decisions down the line. However, measuring your tech team’s productivity isn’t as simple as counting revenue gained or units produced. Beyond the outcome of the project, there are several other factors that should be taken into account.

Virtual reality has burst onto the stage, and because of how well-supported it has become as a hardware solution, its practical applications—from enterprise training to video games—are expanding.