Infrastructure Related Topics 
TechCrunch
SEPTEMBER 14, 2023
Days after Oracle missed Q1 2023 revenue expectations and gave a downbeat rest-of-year outlook, sending its share price to suffer the worst one-day performance in 21 years, the cloud provider announced a team-up with Microsoft to co-locate a portion of its infrastructure in the Azure cloud.
Martin Fowler
NOVEMBER 22, 2022
continue their account of how Etsy used the cloud to scale up by describing the journey of two teams : observability and ML infrastructure. Tim Cochran and Keyur Govande.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
JUNE 3, 2024
But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high. Infrastructure-intensive or not, generative AI is on the march. IDC research finds roughly half of worldwide genAI expenditures in 2024 will go toward digital infrastructure.
CIO
NOVEMBER 26, 2024
But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class. Still, IT leaders have their own concerns: Only 39% feel their IT infrastructure is ready to manage future risks and disruptive forces. In tech, every tool, software, or system eventually becomes outdated,” he adds.
Advertisement
But as the growth in open source adoption increases, so does the complexity of your data infrastructure. 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.
CIO
OCTOBER 23, 2024
There might be an extra cost for the new functionality, though, but the vendors are the ones dealing with any potential infrastructure challenges. And that means companies have to invest in infrastructure for training and deploying these systems. That meant that the company had to do some serious infrastructure work.
CIO
NOVEMBER 4, 2024
The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.
Advertiser: Datadog
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
Advertiser: Data Robot
How to determine the benefits of an MLOps infrastructure. Download the report to find out: How enterprises in various industries are using MLOps capabilities. Which organizational challenges affect MLOps implementations.
Advertiser: Datadog
Security teams need visibility into their applications, infrastructure, and network, while development and operations teams need the ability to secure the services they own.
Advertisement
This whitepaper will dive into a brief history of Cadence, how workflows can be put into practice, and how you can apply Cadence to your data infrastructure. Explore the basics of Cadence and understand the benefits it can provide to your organization.
Advertiser: Data Robot
What are the core elements of an MLOps infrastructure? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Avoiding common analytics infrastructure and data architecture challenges. Using predictive/prescriptive analytics, given the available data. The impact that data literacy programs and using a semantic layer can deliver. Thursday, July 29th, 2021 at 11AM PDT, 2PM EDT, 7PM GMT.
Speaker: Ryan Bryers, SVP of Global Engineering
While many businesses still rely on store-level infrastructure, it's time to embrace the unlimited potential of the cloud! In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Interpret and make decisions from a cloud data analytics infrastructure. In this webinar, you will learn how to: Take advantage of serverless application architecture. Optimize serverless and managed data processing pipelines. Take your product a step further in the cloud with ML and AI services. And much more!
Expert insights. Personalized for you.
315 
Let's personalize your content