Machine Learning Made Easy
The difference between machine learning for business and machine learning for consumers is that for business applications, you must deal with requirements that casual users won’t encounter.
The difference between machine learning for business and machine learning for consumers is that for business applications, you must deal with requirements that casual users won’t encounter.
In recent months, the major cloud and tech players have been unfurling their latest products and strategies to win enterprise dollars. One trend that’s catching fire is hybrid infrastructure management: the need to support a mix of on-premises, private cloud, and public cloud resources.
Today on the blog, we feature a conversation with Michael Krigsman, an industry analyst and host of CxOTalk. He has been named a top CIO and IT influencer by several industry organizations. Michael writes extensively on the evolution of customer experience, and why technology is more critical to the delivery of competitive, compelling digital experiences than ever before. MK: Customer experience is a significant driver of revenue over time.
The 2019 AWS annual user conference, re:Invent, didn’t disappoint, with several intriguing announcements from the cloud giant. There was ample focus on Compute, with AWS Outposts and the new Graviton computing instances incorporating the ARM processing framework. There was also a renewed focus on AI and machine learning, as one would expect. Here’s my take on what this year’s show means for people working in IT operations and DevOps:
It’s that time of year again. Forget turkey, cranberries and pesky in-laws: it’s time to get your shopping on. For IT organizations at retailers and e-commerce companies, it’s an exciting time and also one where every detail matters. So far, predictions are robust for sales, with eMarketer forecasting that this will be the first-ever trillion-dollar holiday season in the United States. U.S.
Hypervisor-based server virtualization is widely used in hybrid IT environments for better infrastructure utilization, improved disaster recovery, and considerable cost savings. Given the complexities involved in managing virtualized environments, IT teams need the right insights for virtual resource monitoring so that they can address performance issues quickly.
During October and November, OpsRamp unpacked our Fall Release, issued a new report on modern IT operations, sponsored two Gartner conferences, announced a new VP of Worldwide Channel Sales and received recognition from CRN as a technology innovator. We also published plenty of viewpoints on the future of digital and IT operations management. So, take a break from the Impeachment proceedings and read up on what you missed here!
Last week’s container event of the year, KubeCon, hosted by the Cloud Native Computing Foundation, attracted more than 12,000 attendees to the San Diego convention center. While there, I attended numerous sessions but I also spent a good portion of time chatting with DevOps professionals, Kubernetes practitioners, and vendors to understand the practicalities behind deploying and managing containerized workloads and microservices.