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What is data architecture? A framework to manage data

CIO

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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Agentic AI design: An architectural case study

CIO

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.

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The key to operational AI: Modern data architecture

CIO

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 However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

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What is S/4HANA? SAP’s latest ERP system explained

CIO

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.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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What a 500-Year-Old Brewery Can Teach Us About Modern IT Architecture

Xebia

Scaling enterprise applications often brings the same challenges faced by legacy systems in other industries. Their journey offers valuable lessons for IT leaders seeking scalable and efficient architecture solutions. For business-critical systems, modularizing applications or services isnt the endgameits only the beginning.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).

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Building Evolvable Architectures

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.

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Product Transformation: Adapting Your Solutions for Cloud Models

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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Top Considerations for Building an Open Cloud Data Lake

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.

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Architect Your Organization for Effectiveness, Productivity, and Joy

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.

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Monitoring AWS Container Environments at Scale

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.

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Why Distributed Tracing is Essential for Performance and Reliability

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.