CASE STUDIES & INSIGHTS
Whether we realize it or not, artificial intelligence and machine learning (AI/ML) have become part of our daily lives—from customer service chatbots to AI-generated recommendations from your favorite streaming services. But despite the ubiquity of AI/ML, executives often don’t consider how they could use this technology…
Read MoreThe simplest definition of a data lake is ‘a centralized repository to store unstructured and structured data at any scale’. Data stored as-is can be used for data mining or machine learning, while structured data can be used in different analytics applications like dashboards, real-time analytics to big data processing.
Read MoreWith the capability to store high-volume, high-velocity raw data in a centralized location, data lakes are currently the most desirable technology for businesses seeking to reduce silos and maximize data value. The pay-as-you-go price model, the low cost of storage, and groundbreaking advances in big data technology make data lakes very affordable for any project.
Read MoreNo matter your industry, chances are your team is feeling the strain of the cybersecurity talent gap. For nearly a decade, the demand for cybersecurity experts has surpassed the number of skilled workers. “It’s a full-on war for cybertalent,” Matt Comyns, a seasoned cybersecurity expert, told the Los Angeles Times in 2019.
Read MoreFor today’s tech leaders, continuous integration and continuous delivery (CI/CD) pipelines are pivotal for streamlining application development. CI/CD pipelines automate your application building, testing, and deployment, making it easier for your team to deliver the latest version of your app in record time.
Read MoreOrganizations tend to cite efficiency as a primary motivator to the cloud, because they know migration can improve flexibility, scalability, and make them more cost-effective. But many business leaders don’t realize that building a more efficient company culture starts with a specific part of the cloud migration journey:
Read MoreWhen the applications you rely on to run your business start slowing down, it may be time to consider moving your app to the cloud. But if you’ve been using and patching the same software for 10 or 15 years, it can be challenging to know where to begin.
Read MoreIt sounds obvious: You can’t begin a journey if you don’t know where you’re starting from. But when it comes to the cloud migration process, that’s exactly what many organizations do. To prevent getting lost in the woods, adding a “discovery” phase before you start your migration is a critical planning step.
Read MoreMost migration-minded organizations have an idea of where they want the AWS Cloud to take them. They want to take advantage of long-term cost savings, support a growing remote workforce, or improve security. But that ideal is only one side of the story – before you migrate, you also need to know where you are now.
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