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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. In 2025, data masking will not be merely a compliance tool for GDPR, HIPPA, or CCPA; it will be a strategic enabler.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. Rich Tool Ecosystem: Equip agents with pre-built tools (Search, Code Execution), custom functions, third-party libraries (LangChain, CrewAI), or even other agents as tools. BigFrames 2.0

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What is data architecture? A framework to manage data

CIO

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. Scalable data pipelines.

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

CIO

enterprise architects ensure systems are performing at their best, with mechanisms (e.g. tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself!

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs?

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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Scalable data infrastructure As AI models become more complex, their computational requirements increase. Enterprises need infrastructure that can scale and provide the high performance required for intensive AI tasks, such as training and fine-tuning large language models. Performance enhancements. Seamless data integration.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.