As the pace of business accelerates, mobile and social tend to influence customer engagement models. These models can drive customers to expect new and better application services that are delivered faster than ever. Succeeding in today's business environment requires organizations to be ready to transform quickly. Making sure business applications run smoothly is vital, but you also need an information technology (IT) environment that's optimized for fast, efficient service delivery. How do you create a more agile, scalable and efficient IT infrastructure?
In this regular column, we'll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we're in close touch with vendors from this vast ecosystem, so we're in a unique position to inform you about all that's new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. Algorithmia, a leader in ML operations and management software, announced Insights, a new solution for ML model performance monitoring that provides reliable access to algorithm inference and operations metrics. Many organizations today don't have the ability to monitor the performance of ML models working their way into production applications, and organizations that do, use a patchwork of disparate tools and manual processes, often without critical data required to satisfy stakeholder requirements. Without comprehensive monitoring and centralized data collection, organizations struggle with model drift, risk of failure, and the inability to meet performance targets in response to shifts in environment and customer behavior.
WekaIO, Inc. announced a transformative cloud-native storage solution underpinned by the fast file system WekaFS, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps. The company has developed reference architectures (RAs) with object storage technology providers, like AWS, Cloudian, IBM, Seagate, Quantum, Scality, and others in the firm's Technology Alliance Program, to deliver cost-efficient, cloud-native storage solutions at any scale. And the firm's OEM partnership with Hitachi Vantara will deliver an integrated end-to-end stack solution based on the Hitachi Content Platform. WekaFS provides managing petabytes of data in a single, unified namespace wherever in the pipeline the data is stored, while also delivering the performance to accelerate AI/ML, genomics research, HPC, and HPDA workflows. Manage more petabytes of data cost-effectively and with fewer resources Extending the WekaFS namespace from high-performance flash to an Amazon Simple Storage Service (S3) REST-enabled cloud object storage system is a simpler and more cost-efficient strategy for managing petascale datasets without compromising performance.
In recent years, cloud computing technology has changed the way many companies handle IT. Using the public cloud computing model, IT departments have the option to pay-as-they-go while rapidly spinning up services, applications, or instances in a cloud provider's data center, scaling them up and down as demand changes. But how prevalent is public cloud use among businesses, how much will usage continue to grow, and how will cloud-centric technologies continue to evolve? We surveyed more than 450 IT decision makers in organizations across North America and Europe to understand how businesses utilize different public cloud deployment models (e.g., IaaS, PaaS, SaaS), what types of workloads and services are running in public clouds, and which emerging cloud trends are on the rise. The percentage of business applications, services, and workloads running in public clouds is expected to double in the next one to two years.
Its impact on customer experiences, business processes and models, and workforce innovations was undeniable. We saw more and more use cases where customers started leveraging multiple clouds to enable innovation than ever before. But the landscape continues to change. Here are my thoughts about what's ahead for cloud in 2019. The Kubernetes ecosystem will grow and enable more innovation.