Technologent

Boeing | April 07, 2022

Google Cloud and Boeing today announced a partnership that will support the leading aerospace company's cloud transformation by migrating hundreds of applications across multiple business groups and aerospace products to Google Cloud. The partnership will enable Boeing to address challenges that come with traditional on-premises IT implementations, taking advantage of the scalability and flexibility of the cloud, along with the ease-of-use and innovation of Google Cloud's data analytics ...

Cloud Security

JupiterOne | June 02, 2022

JupiterOne, the industry's leading cyber asset attack surface management (CAASM) platform, announced a new integration partnership with Splunk, the security and observability data platform leader, making it easier for organizations to connect and analyze security insights across their cyber asset landscape. Now, security teams may access data from both the JupiterOne platform and the Splunk Security Cloud to boost the value of user data among mutual customers. The volume of da...

Cloud App Development, Cloud Security, Cloud Deployment Models

Prnewswire | May 08, 2023

2bcloud, a leading next-generation multi-cloud managed service provider for tech companies on their cloud journey, today announced that Nucleus Security, a leader in risk-based vulnerability management and process automation, has adopted its cloud services to meet the company's strong growth while delivering cost savings to its AWS and Microsoft Azure customers. Nucleus Security is a risk-based vulnerability management (RBVM) solution that automates time-consuming vulnerabil...

Cloud Storage

Google Cloud | May 19, 2021

Vertex AI, a managed machine learning (ML) platform that helps businesses to accelerate the deployment and maintenance of artificial intelligence (AI) models, becoming generally available today at Google I/O. In comparison to competitive platforms1, Vertex AI takes approximately 80% fewer lines of code to train a model, allowing data scientists and ML engineers of all levels of experience to apply Machine Learning Operations (MLOps) to effectively design and operate ML projects during the develo...