CIO Business Intelligence
DECEMBER 11, 2024
To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Plus, some regions have data residency and other restrictive requirements. Finally, theres the price.
Forrester IT
MARCH 13, 2025
In that report, we analyzed how the cloud-native ecosystem, driven by open-source software (OSS), has been powering architecture modernization across infrastructure and application development, enabling platform-driven innovation in the meantime across a spectrum of technology domains such as data […]
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Network World
JUNE 1, 2021
The continuous influx of open-source software (OSS) into enterprise IT departments is, in many ways, an enormous boon to both vendors and users. For end-users, one of the chief advantages is—at least in theory—the improved security that’s part of the usual sales pitch for open source software.
CIO Business Intelligence
MARCH 20, 2025
See also: US GPU export limits could bring cold war to AI, data center markets ] China has not said its last word yet. And thanks to the development of AI in the open-source model,hardware availability is no longer a problem, because models are voluntarily tested and improved by their users, e.g., from Europe.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Information Week
MARCH 7, 2022
Cloud-based data warehouse-as-a-service provider Snowflake announced plans to acquire Streamlit, a provider of an open-source framework that makes it easier for developers and data scientists to build and share applications.
Network World
JANUARY 22, 2025
The open-source Wireshark network protocol analyzer has been a standard tool for networking professionals for decades. Stratoshark is designed to be agnostic to the specific cloud networking approach, focusing on collecting data at the endpoint level rather than relying on the networking layer.
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With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management. But as the growth in open source adoption increases, so does the complexity of your data infrastructure.
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Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.
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