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5 Misconceptions About Scaling Agile

Xebia

When you hear the term "scaling Agile," what comes to mind? However, this is just one of the many misconceptions about scaling Agile. In reality, scaling Agile is not a one-size-fits-all solution. And finally, experimentation is key when it comes to scaling Agile. That does not change when you use Agile at scale.

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The Hartford CIO Deepa Soni on transforming at scale

CIO

Afterwards we spent some more time focused specifically on Soni’s perspectives around the power of what she calls “the 4 EAs @scale, @pace”: enterprise agility, enterprise AI, extreme automation, and employee (skill) advancement. Can you talk about what EA @scale, @pace, means and how that’s a differentiator for The Hartford?

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CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

CIO

Notably, large portions of organizations are not prepared to integrate AI swiftly, which impacts IT’s ability to scale these solutions. Despite the enthusiasm for AI’s transformative potential, which 80% of CIOs surveyed believe will significantly impact their businesses, the path to integration is not without its challenges.

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Scaling Agile Teams

Agile42

We’ve been working with organizations for over 15 years and despite numerous existing frameworks and models, we’ve learned that there is no silver bullet when it comes to scaling Agile teams. In this guide, we’ll describe a few best practices for scaling Agile teams. Need help scaling? VAT) Shop now What is “Scaling”?

Agile 98
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Best Practices for Deploying & Scaling Embedded Analytics

Download the eBook to learn about Best Practices for Deploying & Scaling Embedded Analytics. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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What is SAFe? A framework for scaling business agility

CIO

Scaled Agile Framework (SAFe) explained The Scaled Agile Framework encompasses a set of principles, processes, and best practices that helps larger organizations adopt agile methodologies , such as Lean, Kanban, and Scrum , to deliver high-quality products and services faster.

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Vercel makes it easier to ship better code at scale

TechCrunch

Vercel today announced two new features for developers that aim to help them ship higher-quality code at scale. The first is conformance, which runs static analysis checks over a company’s codebase to find issues.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

This is time-consuming to maintain and adds complexity as you scale. Data security requires custom-developed middleware in the form of metatable tables, user access controls, and a semantic layer that orchestrates data security.

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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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Monitoring AWS Container Environments at Scale

Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer.

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ABM Success Recipe: Mastering the Crawl, Walk, Run Approach

Key topics will include: Getting started: the "crawl" phase of ABM and its boundaries Unlocking the potential of the "run" phase and using the right strategy for scaling your efforts The essential components of an effective ABM tech stack within each stage Real-world insights from NetSPI's ABM journey with MarketingOS

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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

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer.

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How Collecting and Managing the Voice of the Customer Will Strengthen Your Product

Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data. What better source of insight into what those are and how they’re changing than your customers themselves?