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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As That, in turn, led to a slew of manual processes to make descriptive analysis of the test results.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. This has serious implications for software testing, versioning, deployment, and other core development processes. Underneath this uncertainty lies further uncertainty in the development process itself. What delivers the greatest ROI? How do you select what to work on?

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

Pete recommends bringing in ML experts and data scientists early in the process as well as “creating a chart of impact and ease, then ranking projects by ROI” when iterating on which features or projects to prioritize. Addressing the Uncertainty that ML Adds to Product Roadmaps.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI would need to handle uncertainty and make decisions with incomplete information.

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Integrated Customer Engagement: The Need of the Hour!

bridgei2i

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. These could also be analyzing projected RoI vs Alignment of these initiatives to operational and strategic objectives or zero-based budgeting. However, this crisis will test the progress made.

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How to Set AI Goals

O'Reilly on Data

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Technical competence results in reduced risk and uncertainty. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal. characters, words, or sentences).

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

I held out 20% of this as a test set and used the remainder for training and validation. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). ROI = Profit/Budget). 158% (median ROI of 82%)! A New Hope ).

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