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 However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

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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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Are enterprises ready to adopt AI at scale?

CIO

The path to achieving AI at scale is paved with myriad challenges: data quality and availability, deployment, and integration with existing systems among them. Another challenge here stems from the existing architecture within these organizations. Building a strong, modern, foundation But what goes into a modern data architecture?

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Dr Arvind Gupta: Trustworthy systems to empower India’s growing economy

CIO

AI disruption requires securing AI systems while leveraging them for threat detection amid regulatory shifts. In doing so, they safeguard user interests and foster transparency, ultimately building systems that command sustained trust. people, process, technology) to build trustworthy systems? What does it take (wrt.

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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.