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Generative AI in Agile: A Strategic Career Decision

Scrum.org

A reason to embrace generative AI in Agile? Introduction: The AI Dilemma in the Agile Community Interestingly, Agile practitioners are no strangers to skepticism about new tools. provides compelling evidence of AIs impact on collaborative work.

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Retrospectives Reimagined: Inspiring, Data-Informed, Not Boring

Scrum.org

Read on and learn how to use one of generative AI's outstanding capabilities: summarizing data and recognizing patterns. Why AI-Enabled Facilitation Changes the Retrospective Game AI isn't just for writing code or drafting user stories. Conclusion Ready to try it?

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Generative AI For Small Business Part 2: Leveraging AI Tools for Small Business

The IIL Blog

This article explores the latest trends in AI for small businesses, shedding light on the key developments that are making AI more practical, affordable, and impactful than ever before. Businesses can use Generative AI to draft marketingcopy, respond to customer inquiries, generate reports, and even brainstorm new product ideas.

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Empowering Project Managers with Generative AI: Inside IIL’s Course Development

The IIL Blog

Oue mission was to: Design a course that would engage learners with diverse Generative AI tools to start, plan, and manage either their own project or a generic case study. Embrace an agnostic approach to adopt, integrate, and scale Generative AI to ensure learners would not compromise data or trust.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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Implementing AI in your projects: how to start and improve

Rebel’s Guide to PM

In our annual global survey , one in five (21 percent) respondents say they are using AI always or often in project management. First look at the complexity of the task, including how many variables are involved, what data is involved, and if the task requires specific project management knowledge.

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From Hype to Reality: Integrating Generative AI into Your Project Management Workflow

The IIL Blog

The buzz around generative AI is undeniable. The project management landscape is undergoing a seismic shift, with generative AI emerging as a game-changer. This technology is capable of creating entirely new content from existing data, but navigating its vast potential can feel overwhelming. Register here.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. Together, we can overcome these hurdles and empower your users with the data they need to drive success.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making.