AI has the promise to transform business, but only if it's implemented correctly and used effectively—and kept as bias free as possible. So, to keep projects on track, it's critical to keep humans in control and practice good governance.

Still hesitant about a cloud-first strategy? Don't be. A cloud-first orientation gives organizations the scalability, resiliency, and  business continuity capabilities they need to optimize their operations and realize greater business value.

Cloud adoption has wildly accelerated in 2020, and that trend will continue into 2021. However, to fuel continued acceleration, companies will need to bolster Ops, focus on using cloud strategically, and use cloud to get to market faster. Edge computing will also be a key 2021 theme.

Digital transformation is often hobbled by bureaucracy. According to AWS's Mark Schwartz, the quickest way to break through the bureaucracy is to wade straight into the quagmire using monkeys, razors, and sumo wrestlers.

Cloud and COVID-19 have combined to magnify the need for effective cybersecurity. Companies that focus on data, automation, and risk assessment will have a better chance at cybersecurity success.

Like many companies, global tech leader Broadcom shifted to remote work when COVID-19 hit. However, with the help of a cloud-based, mobile technology solution, Broadcom is able to safely bring its workforce back to the office.

Innovation is key to cloud success. The Cloud Native Computing Foundation has made it their mission to fuel innovation through leveraging the power of open source to make cloud ubiquitous.

There's often tension between security and DevOps. That tension is magnified in a cloud environment. To relieve that tension and implement effective security in cloud, it's essential to foster understanding and cooperation. How? With DevSecOps.

Cloud security is as complex as cloud itself. SaaS-based, data-driven security-automation platforms can help companies automate much of their cloud security process, enabling them to reduce complexity and focus more on their business.

AI/ML can help transform how companies glean insights into their business, but it's often difficult to put AI/ML models into wide-scale production. Enter MLOps, which takes a disciplined approach to scaling AI/ML to the enterprise.