Cloud Sprawl What Is It and How to Control It

It can occur when an organization doesn’t manage or monitor their cloud environment. In this article, learn how to manage cloud sprawl, the risks, and benefits and how to optimize cloud sprawl to control IT Cost.

Power to the Data Report: Introduction to H2O.ai

H2O.ai is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone. H2O.ai’s mission is to “democratize AI” by making it easier for businesses and individuals to use AI to solve problems.

NVIDIA Collaborates With Microsoft to Accelerate Enterprise-Ready Generative AI

NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives. The integration will create a secure, enterprise-ready platform that enables Azure customers worldwide to quickly build, deploy and manage customized applications using the more than 100 NVIDIA AI frameworks and tools that come fully supported in NVIDIA AI Enterprise, the software layer of NVIDIA’s AI platform.

Latest Version of Zilliz Cloud Aims to Cure AI ‘Hallucinations’

Zilliz Cloud is the managed service from Zilliz, the inventors of Milvus, the open source vector database used by more than 1,000 enterprises around the world. It’s purpose-built for AI and other applications powered by unstructured data. It represents data as high-dimensional vectors, or embeddings — the kind generated by machine-learning models.

2023 Trends to Watch: Cloud Computing

Cloud adoption is changing, and now customers are making more strategic choices about cloud computing. But the market is still dominated by the top nine large cloud providers. Key Trends: 2023 will see more interest in the abstracted cloud Strategic hybrid and multicloud will become more prevalent The data cloud is gaining interest as the […]

Future of Cloud: What’s Up in 2023

The use of public cloud services will continue its growth into 2023 and beyond. Beyond cloud computing, many organizations are looking to use Infrastructure-as-a-Service, Network-as-a-Service, Platform-as-a-Service, and other offerings to simplify infrastructure requirements and management challenges. So, what’s in the plans for cloud in the new year? Download this report to read more on: Cloud […]

Acceldata and its Data Observability Platform – Solving Big Data Management Challenges

In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.

DataStax Acquires Machine Learning Company Kaskada to Unlock Real-Time AI

DataStax, the real-time AI company, announced it has acquired Kaskada, a machine learning (ML) company that first solved managing, storing and accessing time-based data to train behavioral ML models and deliver the instant, actionable insights that fuel artificial intelligence (AI). Both DataStax and Kaskada have a track record of contributing to open source communities. Datastax will open source the core Kaskada technology initially, and it plans to offer a new machine learning cloud service later this year.

Snowflake vs. Databricks – Who has the Edge?

Fivetran recently unveiled the results of a new data warehouse benchmark report that revealed just how close the competition is among five of the most popular data warehouses. The report is the passion project of Fivetran CEO and data management expert George Fraser, who has a front row seat in the cloud data warehouse race. The report explains the cost vs. performance tradeoffs of each one of the warehouses, the ins and outs of the modern data stack, and provides a perspective on how it’s all going to shake out.

2023 Trends in Cloud Computing  

In this contributed article, editorial consultant Jelani Harper shows how developments in cloud computing are demonstrative of those affecting data-driven processes as a whole. These trends include cloud native mechanisms that make the cloud more utilitarian, regulatory compliance and data governance concerns that make it sustainable, edge processing and IoT deployments that typify its celerity, and its increasing decentralization of enterprise architecture.