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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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The key to operational AI: Modern data architecture

CIO

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. To succeed, Operational AI requires a modern data architecture.

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Agentic AI design: An architectural case study

CIO

Especially with companies like Microsoft, OpenAI, Meta, Salesforce and others in the news recently with announcements of agentic AI and agent creation tools and capabilities. We will see this agentic AI revolution grow as providers release additional agents, tools and development frameworks.

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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 Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery.

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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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Top 11 LLM Tools That Ensure Smooth LLM Operations

Openxcell

The inner transformer architecture comprises a bunch of neural networks in the form of an encoder and a decoder. There are LLM model tools that ensure optimal LLM operations throughout its lifecycle. USE CASES: LLM and RAG app development Ollama Ollama is an LLM tool that simplifies local LLM operations.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve.

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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

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Prioritizing Customer Experience Using SLIs & SLOs: A Case Study from The Telegraph

Service Level Indicators and Service Level Objectives are now the principal tools for focusing on what really matters. The premise of SLIs/SLOs is that all teams—product, architecture, development, and platform— need to look at services from the customer’s perspective.

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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

In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Avoiding common analytics infrastructure and data architecture challenges. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.