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Obstacles to AI & Analytics Adoption in The Cloud

Trifacta launched a benchmark report in conjunction with Researchscape: Obstacles to AI & Analytics Adoption in the Cloud, to examine how data workers in the U.S. across industries are handling the increased move of data to the cloud, the time constraints endured when preparing data for analytics, artificial intelligence and machine learning initiatives, and the impact these obstacles have on the overall success of these projects.

Big Data & Cloud Computing: The Roles & Relationships

In this contributed article, Gaurav Sharma, Director Of Operations at Chetu Inc., discusses how it’s important to note that both Big Data and Cloud Computing play a huge role in our digital society. The two linked together allow people with great ideas but limited resources a chance at business success. They also allow established businesses to utilize data that they collect but previously had no way of analyzing.

Cloud Services Survey Reveals Critical Need for AI-Driven Continuous Optimization

Our friends over at Opsani announced the results of a year-long survey of hundreds of enterprises running cloud services that revealed a critical need for artificial intelligence (AI)-driven, continuous optimization of live applications and their environments. Results showed companies are running a robust continuous integration (CI), continuous delivery (CD) tool-set for their applications, but are neglecting the post-release portion of the delivery pipeline—continuous optimization of live cloud apps and their environments—resulting in declining user experiences and soaring cloud costs.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

DDN Expands Data Management Capabilities and Launches New Range of Platforms for AI and HPC

DDN®, a global leader in artificial intelligence (AI) and multicloud data management, announced new infrastructure and multicloud solutions. DDN announced the next generation of SFA® platforms, new data management features of its EXAScaler® “EXA5” file solution, which will be generally available over the next two calendar quarters.

Healthy Hives: Cloud Analytics Helps Save the World’s Bee Population

In this machine learning cast study, we describe how cloud analytics technology is being applied to the Global Hive Network, an initiative to collect billions of individual data points from around the world and analyze them to understand the honeybee population’s overall health and its relationship with environments, weather patterns, forage, diseases, parasites, predator species, and pesticides.

Okera Delivers Industry’s First Real-Time Actionable Insights into Data Lakes

Okera, a leading active data management platform that enables companies to discover, audit, and protect data at scale, announced Okera Spotlight for Amazon Web Services (AWS) users, the first and only solution to provide full visibility with real-time and continuous audit of your Amazon Simple Storage Service (S3) data lake.

Kubernetes Driving Google Cloud

Kubernetes is increasingly being used with big data deployments. This trend is driving more big data apps to move to GCP, which offers homegrown support for Kubernetes. To make these workloads simpler and cheaper, there’s a need for a new solution for managing data workloads on Google Cloud Dataproc. With GCP’s CAGR estimated to grow by 64% CAGR through 2021, the cloud is now clearly a three-horse race.

How Astera Labs is Revolutionizing Semiconductor Product Development—100% in the Cloud

For any established semiconductor product developer, designing a next-generation PCIe 5.0 chipset in less than a year is no small feat. For a brand-new startup with no compute infrastructure other than laptops, however, it is a huge ask. That’s why, with time being of the essence, Astera Labs decided to take a chance on the efficiencies it would gain from a 100% cloud-based approach.