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Data Science & Algorithms

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Community Posts

We would like to implement an IDP (Intelligent Document Processing) solution within our organization. Does anybody have experience with the implementation of IDP solutions? If so, what should we be mindful of when selecting a software provider in order to be successful?

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I'm interested in learning more about how you leverages self-serve analytics and natural language processing (NLP) capabilities to extract insights from data. Could you share your experiences and best practices? Specifically, I'm curious about: 1. Tools and Platforms: What tools or platforms do you use for self-serve analytics and NLP? How do they integrate with your existing data infrastructure? 2. Forums and Communities: Are there any forums or communities where IT and business groups discuss insights and collaborate on data-driven projects? 3. Challenges and Solutions: What challenges have you encountered while using these technologies, and how have you addressed them?

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Has anyone implemented a Computer Vision solution that will find particulates in a clear liquid? Would like to hear pluses / minuses with the implementation.

Context is more important than datum.

Strongly agree16%

Agree62%

Neutral15%

Disagree4%

Strongly disagree

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Does your org’s security team include anyone with a background in data science?

Yes - one person30%

Yes - multiple people 49%

No15%

I don’t know - show results4%

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When it comes to organizing your teams, how do you make sure you’re maximizing the capabilities of your data scientists within the enterprise? What is the best way to support innovation that leads to value?

What is the ideal ratio for Data Engineers to Data Scientists to ML Engineers to Product Managers? What ratio works at your organization and why?

What advice would you give to CTOs newly managing machine learning (ML) and data science teams?

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Why are machine learning (ML) and data science teams reporting to the CTO?

Can machine learning assist in reporting safety events In hospitals?

No70%

Yes30%

Is anyone using the company KeystoneAI for your data science or AI work? Wondering what your thoughts are on the company and if they can scale a solution for an enterprise.

How do you balance model accuracy and explainability?

How do you ensure that data quality projects are accurately scoped?