Remove what-we-do
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What is Responsible AI and Why Do We Need It?

Analytics Vidhya

In just a day, the chatbot transformed into a platform […] The post What is Responsible AI and Why Do We Need It? Tay’s introduction to Twitter on March 23, 2016, showcased how AI when exposed to inappropriate content, can quickly devolve into generating offensive and harmful responses.

IT 270
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What are Explainability AI Techniques? Why do We Need it?

Analytics Vidhya

Introduction When we talk about AI quality, what do we mean and understand? The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. According to a survey or study, AI […] The post What are Explainability AI Techniques? Why do We Need it?

IT 271
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What Do We Talk About, When We Talk About Data?

Dataiku

Some people don’t engage with others on data and AI because they perceive a barrier between how they work with data and how they could work with data — call it an unrequited dream of something better. Others simply don’t think data and AI are relevant to their work at all, as neither appear in their job title.

IT 110
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What Do We Do When Humanization Fails? Let’s Talk About It

Dataiku

We have joined forces with our friends from the Towards Data Science podcast for an exciting, future-focused conversation. Our hosts, joined by Jeremie Harris, host of the Towards Data Science Podcast, explore some of the many what-if’s and potential paths developing alongside AI progress.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this.

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What’s missing from self-serve BI and what we can do about it

KDnuggets

To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved. The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice.

IT 99
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“Human error”: How can we help people build models that do what they expect

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 134
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Resilient Machine Learning with MLOps

We do not know what the future holds. But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world.

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Tough Bosses, Unrealistic Goals, and Other Corporate Challenges That a Customer-Centric Product Strategy Can Empower You to Solve

Speaker: Bob Caporale, Founder of Strategy Generation Company

And have you ever had your boss tell you to just “make those goals happen,” even in the absence of any clear plan that might allow you to do just that? So how do we solve this problem? And that’s exactly what we’re. going to learn how to do in this webinar!

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? From productivity gains to finding new routes to revenue generation, generative AI is going to radically transform how we work.

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Assess and Advance Your Organization’s DevSecOps Practices

In order to do that, leaders must ask themselves three key questions: What is our current level of DevSecOps maturity? How do we get there? Organizations must advance their DevSecOps practices to deliver high quality, secure digital services to market quickly and efficiently.

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Add Value with a Dashboard Refresh: What You Need to Know

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Do your users benefit from them anymore? What should be improved, and what do we have the resources to improve? Join Miles Robinson, former UX and Design Manager, as he explains the different ways to refresh your dashboards - and how to determine what's the best path to product dashboard success.

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How Digital Transformation will Bend the Curve of the Linear Economy Toward the Circular

Speaker: Bruce Armstrong Taylor, Co-Founder & Managing Director of SmartNations Foundation, Jimmy Jia, Venture Partner at Pi Labs, Fabienne Durand, Senior Advisor to the SmartNations Foundation, & Roger Strukhoff, Executive Director of the Tau Institute

We see it in many ways already. What can we do in our corporate organizations, in our homes and communities, to change the current course? How fast and at what scale can the Linear Economy curve be bent toward the Circular? What will be needed from governments at all levels globally in terms of carrots and sticks?

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New Buyer's Guide for Supply Chain Network Design

To do this, teams are finding that they need to perform network assessments more regularly and in-house. To help you start 2021 strong, we updated our popular Buyer's Guide for Supply Chain Network Design Software with research insights and learnings. What’s inside? Scenario modeling is emerging as a key capability.