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521: Leadership Crossroads–What Every Product Manager Must Know Before Their Next Move – with Kimberly Bloomston, CPO

Product Innovation Educators

Growing up in a tech-friendly household with an entrepreneurial father who owned retail businesses gave her early exposure to both technology and business operations. Over ten years, she rose through the ranks until everyone in the company reported to her. It was during this time that Kim discovered her passion for product management.

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How to Build and Improve Your Product Analytics Strategy

Userpilot

Outdated technology. Now, developing an in-house solution typically requires a long development cycle, model testing, and ongoing maintenance—which can easily deplete both financial and human resources. So for most companies, purchasing an analytics tool is a better option than building one from scratch. Lack of team resources.

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The Risks of Data Fragmentation + How to Fix Fragmented Data

Userpilot

When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. This fragmentation occurs when critical business information becomes scattered across disconnected systems, creating dangerous blind spots for product managers trying to make informed decisions.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. However, successful outsourcing requires clear processes, robust governance, and careful partner selection. What Is Outsourced Software Product Development?

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The Business Value of MLOps

Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of organizations.

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What is Self-Service BI: Benefits, Use Tools, Considerations 

Reveal

Reveal Embedded Analytics Today’s business users expect more than static dashboards or delayed reports. That is the promise of self-service BI: giving users direct access to the answers they need without relying on data teams or filing support tickets. Traditional BI tools were not built for embedded use cases.

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Scalable Analytics: How to Build for Growth Without Breaking BI

Reveal

Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. 81% of tech leaders report a rising demand for analytics at scale, yet nearly half say their BI system fails when scaling analytics to handle growing user and data needs.

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Innovation Systems: Advancing Practices to Create New Value

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace.

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IDC Analyst Report: The Open Source Blind Spot Putting Businesses at Risk

In a recent study, IDC found that 64% of organizations said they were already using open source in software development with a further 25% planning to in the next year. Most organizations are unaware of just how much open-source code is used and underestimate their dependency on it.