Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• Machine learning services in cloud aim for AI accessibility

  Machine learning is a complex technology that requires data science skills. Cloud providers have tried to change that and make AI more accessible. But are those efforts working? Continue Reading

• Azure Stack growing pains could weigh on enterprise appeal

  Microsoft's hybrid cloud platform continues to pique the interest of enterprise IT shops but still lacks the maturity and breadth of the Azure public cloud. Continue Reading

• The enterprise will kill cloud innovation -- but that's OK

  Hyperscale cloud providers grew incredibly fast and created a whole new way of doing business. That's great, but it's also a problem that needs fixing. Continue Reading

• Compare cloud API management tools from AWS, Azure and Google

  While the API management tools from top cloud providers share some functionality, there are key differences that developers -- especially those in a multi-cloud model -- should know. Continue Reading

• Legacy roots still hinder Oracle and IBM cloud strategies

  As IBM and Oracle look to shift away from legacy systems and hone in on IaaS, it won't be a clean cut. Still, each vendor has its sweet spot in the overall cloud market. Continue Reading

• Evaluate speech-to-text services from AWS, Microsoft and Google

  AWS, Microsoft and Google dictation services can infuse cloud applications with helpful speech-to-text capabilities. Here's an overview of what each provider brings to the table.Continue Reading

• Nvidia GPU Cloud marries data science and containers

  With its GPU Cloud, Nvidia offers a way to deploy data science workloads that span on-premises systems and the public cloud -- with containers playing a big role.Continue Reading

• It's time to tap into the business value of cloud computing

  With increasing market maturity, all cloud adopters -- not just the Netflixes of the world -- have a chance to translate the technology into a competitive business edge.Continue Reading

• What's a cloud migration factory, and how does it work?

  When properly implemented -- and understood -- a cloud migration factory combines the right mix of people, processes and tools to smoothly transition an app into the public cloud.Continue Reading

• Cloud billing surprises help pinpoint app performance issues

  To assess cloud app performance, don't forget to closely monitor monthly bills from your IaaS provider. They might point to inefficiencies you'd otherwise overlook.Continue Reading

• Choose the best PaaS tool for your app dev needs

  Given the vast and rapidly evolving PaaS market, dev teams often struggle to find the tool that's best for them. Use this guide to review key PaaS benefits and provider options.Continue Reading

• Evaluate Google Cloud TPUs for machine learning apps

  Machine learning apps have prompted a paradigm shift in the world of public cloud. Google is an early market leader with its TPUs and TensorFlow, but can it stay on top?Continue Reading

• Overcome app deployment challenges in a multi-cloud strategy

  Looking to adopt a multi-cloud model? Be sure to address these common app deployment, redeployment and scaling challenges first.Continue Reading

• Google needs to win enterprise confidence at cloud conference

  Google Cloud Platform (GCP) has become a more robust and reliable public cloud in recent years but still has nowhere near the enterprise mindshare afforded to fellow hyperscale platforms AWS and ...Continue Reading

• Evolve IT staff, skill sets for a multi-cloud strategy

  To effectively implement and manage a multi-cloud architecture, enterprises first need IT team members who hold a unique mix of technical and business skills.Continue Reading