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Combining DevOps and Agile Transformations to Achieve Business Outcomes

Agile Velocity

Reference: Harvard Business Review Analytic Services Survey, Sept 2018). Continuing to communicate the change vision (rinse and repeat). What to Expect When You’re Expecting An Agile Transformation (Webinar Recording). We’ve identified nine common business outcomes, all of which are positively influenced by Agile+DevOps.

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Mastering Product Life Cycle Management with Analytics

Sisense

The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework. Briefly, PDM refers to domain knowledge expert engineering theory and its associated software tools. Vandita has spoken for events in Gartner Data Conference and company webinars.

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From Product Manager to Business Analyst: Nina Brackett

Bridging the Gap

And there was the strategy and the vision for the product and where do we want to go in the future kind of work. But with the structure of the videos, the web, the pre-recorded webinars, or not webinars; they are pre-recorded class sessions. There was the kind of the detail oriented, getting into the solution kind of work.

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Top Business Trends to Watch for in 2023

Watermark Learning

Join our webinar on January 5, 2023 to hear our contributors talk about these trends, get your thoughts, and answer questions. This allows the team to stay focused on the end vision of that priority, while also allowing for pivots and tactical changes as necessary with the infusion of new data and information.

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Harnessing AI for Deeper Insights and Stronger Security in Data Analytics

Domo

In our recent webinar, AI-Infused BI: Transforming Data Insights and Empowering Citizen Data Scientists , we explore how this vision is playing out today—while offering clarity that helps cut through the industry buzz. Here, we’re recapping highlights from their conversation.

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Investing in AI? Here’s How to Avoid Buying Vaporware

Domo

A term that sums this up is vaporware , which refers to software or hardware that’s heavily promoted but either never makes it to market or falls far short of its promised capabilities. Lack of expertise : Companies entering new spaces like AI—without the right technical know-how—often struggle to deliver on their vision.

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Navigating the Future of Data Analytics: Insights from AI Cowboys

Analysts Corner

As Mike noted, what many people refer to as AI is really automation. Well, generative AI refers to algorithms designed to produce content, whether it be images, text, or sound, that resembles what humans would create. Engage with online courses, webinars, and communities. That’s generative AI at work. Are you ready to learn?