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OpenAI Introduces ChatGPT Team for Seamless Team Collaboration

Analytics Vidhya

OpenAI is making strides in the realm of generative AI with its latest offering, ChatGPT Team. It is designed to enhance collaboration between various teams in a company through advanced features and capabilities. This new subscription plan is priced competitively keeping small to medium-sized enterprises (SMEs) in mind.

Analytics 228
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Build a Winning Dream 11 Team Using Python and AI

Analytics Vidhya

Dream11 is a fantasy sports app where you can create your fantasy team for […] The post Build a Winning Dream 11 Team Using Python and AI appeared first on Analytics Vidhya. In recent years, we have seen more and more people playing on platforms like Dream 11, My Circle, etc.

Python 238
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Magna Teams Up with Sanctuary AI to Introduce Humanoid Robots into Manufacturing

Analytics Vidhya

Magna, teams up with Sanctuary AI to introduce humanoid robots into their manufacturing process. The post Magna Teams Up with Sanctuary AI to Introduce Humanoid Robots into Manufacturing appeared first on Analytics Vidhya.

AI 276
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Artificial Intelligence Means Smaller Teams Doing More with Less Makes the Small Autonomous Teams Structure Even More Important 

insideBIGDATA

In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

Join us for an enlightening session to empower you to lead your team to greater heights. Takeaways: Uncover and navigate through common pitfalls that are plaguing product teams today. Explore proven solutions, laying the groundwork for triumphant product launches.

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Introduction to Autogen UI: Create AI Teams without Coding

Analytics Vidhya

Introduction Imagine having your own AI team, each agent finely tuned to tackle diverse tasks, but the thought of coding complexity is holding you back. What if I told you that creating your AI dream team is possible and achievable without extensive coding?

AI 226
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Why People Are The Core Of An AI Team

Adrian Bridgwater for Forbes

An AI team needs to be made up of the right mix of people spanning data scientists, business logic gurus, programmers, administrators & commercial business specialists.

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Entity Resolution Checklist: What to Consider When Evaluating Options

The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success!

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction. It emphasizes engineers’ efficiency and satisfaction during the product development process.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem. Join us for a forward-looking exploration of the future data landscape!

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New Study: 2018 State of Embedded Analytics Report

We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Why do some embedded analytics projects succeed while others fail? Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.

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The Essential Guide to Building Analytic Applications

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What should software teams know about implementing security that works with the rest of their products? What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics?

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The Big Payoff of Application Analytics

And they won’t cut it for your end users, your development team, or your business. The value of embedding analytics to users, development teams, and the bottom line. Outdated or absent analytics won’t cut it in today's data-driven applications. That's what drove the five companies in this eBook to change their approach to analytics.