Evaluate

Big data machine learning and AI

• Public cloud services grow HPC market, but work remains

  HPC applications need a lot of resources, but not all enterprises can meet those requirements. However, new cloud services are emerging to address that gap in the market. Continue Reading

• Compare Google Cloud Firestore and Firebase Realtime Database

  Managed NoSQL databases are increasingly popular for app development. Compare two such options from Google -- Realtime Database and Cloud Firestore -- to see if they meet your needs. Continue Reading

• Break down 11 Google big data services

  Navigating the range of big data services on Google Cloud Platform can be a challenge. Here is a list that breaks down what Google offers in the realm of big data analytics. Continue Reading

• Understand AI and machine learning security impacts on cloud apps

  Cloud-based machine learning can alleviate and aggravate security concerns. Review analysis and advice from our experts to stay on top of this emerging aspect of IT. Continue Reading

• Cloud-based quantum computing inches slowly toward enterprise

  A lot of questions -- and complexity -- still surround quantum computing. But as enterprises eventually ramp up with the technology, most will do so through cloud-based services. Continue Reading

• A quick quiz on machine learning services in public cloud

  From customized hardware to APIs, public cloud providers now tout a wide range of machine learning and AI technologies. How well have you kept up with this rapidly evolving market?Continue Reading

• AI and machine learning take on cloud security woes

  AI-infused technologies continue to target almost all aspects of cloud monitoring and management, including security. But don't assume they're a silver bullet.Continue Reading

• Machine learning tools ease cloud security, log management

  Machine learning has increasingly found a home in enterprise cloud management teams, but the technology is still far from being a magic fix for complex tasks, such as multi-cloud cost optimization.Continue Reading

• 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

• 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

• 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

• Azure Machine Learning services ease data science struggles

  With Azure machine learning services, such as Workbench, Experimentation and Model Management, Microsoft hopes to address common data science challenges in the enterprise.Continue Reading

• Review chatbot development options in public cloud

  As users look to interact with applications via more natural language and text, chatbots become increasingly popular. And many developers turn to the public cloud to create them.Continue Reading

• Compare machine vs. deep learning services in the cloud

  Machine learning and deep learning increasingly make their way into the enterprise. Assess which AI technology is right for you, and the public cloud services that support them.Continue Reading