Network World
NOVEMBER 6, 2024
The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. A reference architecture provides the full-stack hardware and software recommendations. However, there is another advantage, and that has to do with scale.
CIO Business Intelligence
DECEMBER 20, 2024
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.
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CIO Business Intelligence
NOVEMBER 19, 2024
Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.
Network World
JANUARY 22, 2025
Launched today, Stratoshark applies the Wireshark user interface and workflow to system-level data, allowing users to analyze system calls, inter-process communication, networking, command execution and user activity in the cloud. Sysdig, the lead commercial sponsor behind Wireshark, wants to change that with the new Stratoshark tool.
Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks
It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans. How to address technical debt and retrofit existing systems to support better evolution.
CIO Business Intelligence
NOVEMBER 27, 2024
Technology: The workloads a system supports when training models differ from those in the implementation phase. To succeed, Operational AI requires a modern data architecture. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.
CIO Business Intelligence
APRIL 2, 2025
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. As a result, they called their solution a real-time system, which is what the R in the product name SAP R/1 stood for. The name S/4HANA isnt the only thing that reflects the close integration of the new ERP system with the database.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture.
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In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users. Read this paper to learn about: The value of cloud data lakes as the new system of record.
Speaker: Ron Lichty, Consultant: Interim VP Engineering, Ron Lichty Consulting, Inc.
As a senior software leader, you likely spend more time working on the architecture of your systems than the architecture of your organization. In fact, the impact of software architecture parallels the impact of organizational structure. Yet, structuring our teams and organizations is a critical factor for success.
Advertiser: Datadog
Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Key metrics to monitor when leveraging two container orchestration systems. Containers power many of the applications we use every day.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Understand a distributed system and improve communication among teams. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity.
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