Top 10 Most Promising AI Projects to Watch in 2021
What are the groundbreaking Machine Learning and AI projects that will likely change the existing AI/ML landscape and bring their own rules of the game?
What are the groundbreaking Machine Learning and AI projects that will likely change the existing AI/ML landscape and bring their own rules of the game?
We are in the midst of unprecedented transformation – both business transformation and technical transformation. From a technology perspective, 5G will change where and how we harness compute power and promote unforeseen product and service innovation. Once 5G attains critical mass with a robust ecosystem, it will touch nearly every organization, promising new revenue potential across a myriad of industries.
Many organizations are migrating their workloads to the cloud. But there are challenges along the way. Specifically, security leaders are concerned about their ability to protect their cloud-based data using secure configurations.
To keep up with increasing time and productivity demands in software development, it’s important that organizations are staying on top of their digital shifts through rapid technology adoption and the prevention of common snags in application security (AppSec).
Cloud native application security—or CNAS for short— is our passion here at Snyk. CNAS focuses on the security of your code, open source dependencies, container and infrastructure as code. Snyk is expanding on our annual State of Open Source Security report, by adding a new report in which we take a holistic view of the overall application developers work with on a day to day basis.
The ongoing trends we’re seeing today show no signs of letting up. Workloads moving to the cloud, an escalating number of devices accessing applications and data, and the more distributed nature of the workforce have been accelerated by last year’s global health events.
Even before the pandemic, many companies were undergoing significant transformation as they transitioned to cloud or hybrid architectures and grappled with problems caused by tool sprawl due to the quick adoption of many disparate tools. For some, COVID-19 and the rush to remote work fueled and exacerbated these challenges.
Apple loves bragging about how secure their devices are. Not without reason: there are lots of security features you probably use daily, including code autofill, password reuse auditing, Safari built-in privacy, and many more. Same for developers. For example, Apple doesn't release their source code to app developers for security reasons. And the owners of iOS devices can't modify the code on their phones themselves.