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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

There are many areas of research and focus sprouting from the capabilities presented through LLMs. The CAF’s purpose is to test, challenge and support the art and science of Business Technology Architecture and its evolution over time as well as grow the influence and leadership of chief architects both inside and outside the profession.

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Are enterprises ready to adopt AI at scale?

CIO

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.

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How to talk to your board about tech debt

CIO

Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems. Present a balanced solution Here’s where many CIOs stumble: presenting technical debt as a problem that needs to be eliminated.

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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. Join Dr. Rebecca Parsons, CTO at ThoughtWorks, as she presents: How to build evolvable solutions.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

This evolution makes DLP more effective and less intrusive, potentially overcoming historical adoption barriers, although deployment complexity may still present a hurdle. Threat to enterprise value Suffering through any of the scenarios presented above poses a serious threat to enterprise value. Things will get worse.

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Microservice Architecture of Alibaba

Abhishek Tiwari

Alibaba has constructed a sophisticated microservices architecture to address the challenges of serving its vast user base and handling complex business operations.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Each panelist will present and discuss actionable strategies for making data as consumable as possible by everyone in the organization and for increasing data velocity for faster insights using a semantic layer. Avoiding common analytics infrastructure and data architecture challenges.

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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. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.