Загрузка видео...

Не удалось загрузить видео

На главную

Unlocking data's potential to transform product design & the user experience is what PING GOLF's data science team excels at. We discuss how the team democratizes golf through data insights in our new short film, "A Game of Numbers". 🎥

posit_pbc's profile picture

Posit PBC

120,879 subscribers

10,483 просмотров • 3 лет назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 3

Фото профиля Eliot
Eliot3 лет назад

@PingTour Hello, when I simply click on "Log In," I get this error message. Is there something wrong with the servers, or is it my problem?

Фото профиля Pekka Teppola
Pekka Teppola3 лет назад

@PingTour Two of the things in life that makes it worth living for. Golfing+Ping in sports and Shiny+R in data analytics. I am certainly biased. Well done, Ping and Posit! 💯🥂

Фото профиля Brooks Groves 🛰🌎
Brooks Groves 🛰🌎3 лет назад

@PingTour Oh? That's very cool indeed!!

Похожие видео

Activate your data's potential. Transform your organization. Announced at #MSBuild—Microsoft Fabric. Discover how to visualize data at the speed of thought.
1:48

Activate your data's potential. Transform your organization. Announced at #MSBuild—Microsoft Fabric. Discover how to visualize data at the speed of thought.

Microsoft Power BI

122,061 просмотров • 3 лет назад

🎨 How does product design start at Blum? Alex.lgn (Product Designer) shares in #BlumChats how we turn user feedback, team insights, and market signals into real features. No guesswork – just listening, testing, and building what truly matters.
0:44

🎨 How does product design start at Blum? Alex.lgn (Product Designer) shares in #BlumChats how we turn user feedback, team insights, and market signals into real features. No guesswork – just listening, testing, and building what truly matters.

Blum

39,368 просмотров • 1 год назад

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):
12:57

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

Matt Dancho (Business Science)

11,799 просмотров • 1 год назад

Can companies turn dusty, old backup data into a goldmine of insights? Patrick Moorhead & Cohesity CEO Sanjay Poonen catch up at @NVIDIA #GTC25 on how Cohesity’s #Gaia is unlocking new insights from previously untapped data. #GenAI #Cohesity
13:28

Can companies turn dusty, old backup data into a goldmine of insights? Patrick Moorhead & Cohesity CEO Sanjay Poonen catch up at @NVIDIA #GTC25 on how Cohesity’s #Gaia is unlocking new insights from previously untapped data. #GenAI #Cohesity

Six Five Media

52,896 просмотров • 1 год назад

A major new investigation by the Sky News Data & Forensics team combines social media analysis, NHS data, and first-hand testimony to expose what it's really like to give birth in the UK today. Watch the full film on our YouTube channel:
1:38

A major new investigation by the Sky News Data & Forensics team combines social media analysis, NHS data, and first-hand testimony to expose what it's really like to give birth in the UK today. Watch the full film on our YouTube channel:

Sky News

44,555 просмотров • 1 месяц назад

“NeuralGCM is a new kind of atmospheric model. We feel it has the potential to transform how we understand climate.” ☀️ Learn how our Research team combines physics-based modeling and #AI to reveal a possible new way to build climate models. →
0:24

“NeuralGCM is a new kind of atmospheric model. We feel it has the potential to transform how we understand climate.” ☀️ Learn how our Research team combines physics-based modeling and #AI to reveal a possible new way to build climate models. →

Google AI

31,946 просмотров • 1 год назад

“We have entered an age where a single human mind cannot comprehend the data that we are gathering about the universe.” Our VP Research for Science Pushmeet Kohli joined a16z to discuss how AI can help scientists and others with new insights. Listen now ↓
4:01

“We have entered an age where a single human mind cannot comprehend the data that we are gathering about the universe.” Our VP Research for Science Pushmeet Kohli joined a16z to discuss how AI can help scientists and others with new insights. Listen now ↓

Google DeepMind

74,084 просмотров • 2 лет назад

Spoke to dozens of GTM leaders at large enterprises. All are frustrated by the same thing: their data is everywhere, but insights are nowhere. At Activeloop today, we are unlocking AI Data Analysis form data silos towards Vibing intelligence.
1:00

Spoke to dozens of GTM leaders at large enterprises. All are frustrated by the same thing: their data is everywhere, but insights are nowhere. At Activeloop today, we are unlocking AI Data Analysis form data silos towards Vibing intelligence.

Davit

13,044 просмотров • 8 месяцев назад

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):
7:04

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):

Matt Dancho (Business Science)

85,279 просмотров • 6 месяцев назад

Meet Basedash Autopilot. Your company's answers are buried somewhere in your data, but nobody has time to stare at dashboards all day. So we built an agent to do it for you. Autopilot connects to your data stack to surface the high-leverage product insights your team is missing
0:53

Meet Basedash Autopilot. Your company's answers are buried somewhere in your data, but nobody has time to stare at dashboards all day. So we built an agent to do it for you. Autopilot connects to your data stack to surface the high-leverage product insights your team is missing

Max Musing

600,478 просмотров • 6 месяцев назад

"Science doesn't really know borders." So, what does the world need to do to back science & scientists up? 💪 At #ChangeNOW2025, Nick Nuttall sat down with Nigel Topping to discuss the challenges faced by science today & how we can act to protect scientists & the data. 👩‍🔬
13:07

"Science doesn't really know borders." So, what does the world need to do to back science & scientists up? 💪 At #ChangeNOW2025, Nick Nuttall sat down with Nigel Topping to discuss the challenges faced by science today & how we can act to protect scientists & the data. 👩‍🔬

We Don't Have Time

163,048 просмотров • 1 год назад

Databricks AI/BI is a new type of BI product that understands your data’s semantics & democratizes insights: - AI/BI Dashboards: AI powered, low-code dashboarding - Genie: learns underlying data, flexibly answers questions Built on a compound AI system.
1:24

Databricks AI/BI is a new type of BI product that understands your data’s semantics & democratizes insights: - AI/BI Dashboards: AI powered, low-code dashboarding - Genie: learns underlying data, flexibly answers questions Built on a compound AI system.

Databricks

23,544 просмотров • 2 лет назад

Backstage@Kuda, an event series that'll take you behind the scenes at Kuda and spotlight insights from our brilliant team, is live! Sign up to learn how to make a career switch to Product Design, what a winning portfolio looks like and more:
0:24

Backstage@Kuda, an event series that'll take you behind the scenes at Kuda and spotlight insights from our brilliant team, is live! Sign up to learn how to make a career switch to Product Design, what a winning portfolio looks like and more:

Kuda App

86,911 просмотров • 3 лет назад

The discipline of rational decision-making in uncertain markets. In the chaotic nature of financial markets, emotional decisions are unsustainable. TraderLex provides a hybrid methodology that seamlessly integrates human expertise with data science. Our process leaves nothing to chance: Expert Insight: Our certified Prime Trader team constructs the technical frameworks. Data Validation: Our Data Analyst team validates these scenarios using statistical models. The outcome is high-probability market forecasts mathematically verified and free from subjective interpretation. TraderLex: The Science of Analysis.
0:27

The discipline of rational decision-making in uncertain markets. In the chaotic nature of financial markets, emotional decisions are unsustainable. TraderLex provides a hybrid methodology that seamlessly integrates human expertise with data science. Our process leaves nothing to chance: Expert Insight: Our certified Prime Trader team constructs the technical frameworks. Data Validation: Our Data Analyst team validates these scenarios using statistical models. The outcome is high-probability market forecasts mathematically verified and free from subjective interpretation. TraderLex: The Science of Analysis.

TraderLex

18,937 просмотров • 6 месяцев назад

The Lakers Data Analytics team Some think the overload on data is ruining the game
6:01

The Lakers Data Analytics team Some think the overload on data is ruining the game

Hoop Herald

265,602 просмотров • 1 год назад

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:
1:16

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Lenny Rachitsky

35,599 просмотров • 1 год назад

Team events are unique in golf, and data and analytics are more important than ever when pairing skill sets and formats. ADP chief data officer Jack Berkowitz and PGA TOUR Professional @Patrick_Cantlay discuss the Power of Data. #TeamADP
1:22

Team events are unique in golf, and data and analytics are more important than ever when pairing skill sets and formats. ADP chief data officer Jack Berkowitz and PGA TOUR Professional @Patrick_Cantlay discuss the Power of Data. #TeamADP

ADP

26,130 просмотров • 2 лет назад

How are we using data to drive our fitting philosophies and applications? Shane Bacon and Marty Jertson are joined by Chris Broadie, PING Fitting Science Manager, in this week’s podcast episode to dive deep into data science. Listen:
1:06

How are we using data to drive our fitting philosophies and applications? Shane Bacon and Marty Jertson are joined by Chris Broadie, PING Fitting Science Manager, in this week’s podcast episode to dive deep into data science. Listen:

PING GOLF

29,440 просмотров • 1 год назад

DeFi is in need of improvement 💪 Is real-time data the key to unlocking this? At Pangea, maxim legg discusses streaming interfaces that deliver instant data giving our users immediate connection to their data, DEXs, and protocols with @interestdex CEO, Jose Cerqueira | DeFi × AI Builder. Effectively overcoming the limits of the Frankenstein Indexer which notoriously creates the poor user experience that users have become jaded by
2:02

DeFi is in need of improvement 💪 Is real-time data the key to unlocking this? At Pangea, maxim legg discusses streaming interfaces that deliver instant data giving our users immediate connection to their data, DEXs, and protocols with @interestdex CEO, Jose Cerqueira | DeFi × AI Builder. Effectively overcoming the limits of the Frankenstein Indexer which notoriously creates the poor user experience that users have become jaded by

Pangea

12,717 просмотров • 1 год назад

One of the explicit goals of sophon and seb ((((+)))) // consomateur is to reach billions: without users even realizing they’re using crypto. More founders are leaning into simplicity over jargon, and I’m here for it. Loved this convo with Seb. I think you will too. Reply/RT to help the pod + support sophon. Summary In this conversation, Seb, co-founder of Sophon, discusses the innovative approach of Sophon in the crypto space, focusing on user experience, product design, and the importance of data. He emphasizes the need to attract mainstream users to crypto by creating intuitive products that resonate with everyday tech users. Seb also highlights the role of zkTLS in enhancing data privacy and the potential of user-generated data as a valuable commodity. The conversation explores how Sophon aims to engage developers and create a vibrant ecosystem for building applications on its platform. In this conversation, Seb discusses the innovative approach of Sophon in leveraging user data for rewards, the potential use cases for their Oracle technology, and how they aim to revolutionize ticketing through blockchain. He emphasizes the importance of creating a positive user experience and the long-term vision of integrating crypto into mainstream business practices, highlighting the readiness of the market for such advancements. Takeaways — Sophon aims to differentiate itself through a fresh user experience. — The focus is on onboarding mainstream users to crypto. — Empathy and understanding user behavior are crucial in product design. — Sophon is designed to feel intuitive like Web2 products. — Data privacy is a key concern in the crypto space. — ZKTLS technology allows for private data verification on-chain. — User-generated data is a valuable commodity for developers. — Sophon encourages experimentation among developers. — The Sophon Data Hub aggregates user data for innovative applications. — Sophon aims to create a seamless experience for users transitioning to crypto. Your habits are generating data, whether you’re playing games or ordering a taxi. — If you can opt into sharing your data, you can get rewards for it. — We need to present crypto in a way that doesn’t feel speculative. — Everybody can opt into something like this and reap the rewards. — We can do interesting things with ticketing and cultural moments. — Prediction markets based on social data could be a new concept. — The secondary ticket market can be made more verifiable and less scammy. — Users should not experience price gouging in ticket sales. — Having a fat treasury allows for long-term thinking and execution. — The infrastructure for crypto is ready to support innovative solutions. People or Companies Mentioned Phantom Wallet, Phantom ZKSync, ZKsync (∎, ∆) Ticketmaster, Ticketmaster Open Ticketing Systems, OPEN Ticketing Ecosystem Spotify, Spotify Uber, Uber Amazon, Amazon Steam, Steam Taylor Swift, Taylor Swift Coca-Cola, Coca-Cola Chanel, CHANEL Balenciaga, @Balenciaga Polymarket, Polymarket Mint (acquired by Intuit), @themintapp Intuit, Intuit Disney, Disney Instagram, Instagram Starbucks, Starbucks Chapters (00:00) Introduction to Sophon and Its Vision (05:34) Understanding User Needs and Product Design (12:17) Engaging Developers and Building Applications (17:57) The Role of ZKTLS and Data in Sophon (24:41) Data Acquisition and User Privacy (26:48) Harnessing Data for Rewards (29:57) Innovative Use Cases for Sophon Oracle (35:50) Revolutionizing Ticketing with Blockchain (39:02) Enhancing User Experience through Data (44:10) Long-Term Vision in a Short-Term Market
48:34

One of the explicit goals of sophon and seb ((((+)))) // consomateur is to reach billions: without users even realizing they’re using crypto. More founders are leaning into simplicity over jargon, and I’m here for it. Loved this convo with Seb. I think you will too. Reply/RT to help the pod + support sophon. Summary In this conversation, Seb, co-founder of Sophon, discusses the innovative approach of Sophon in the crypto space, focusing on user experience, product design, and the importance of data. He emphasizes the need to attract mainstream users to crypto by creating intuitive products that resonate with everyday tech users. Seb also highlights the role of zkTLS in enhancing data privacy and the potential of user-generated data as a valuable commodity. The conversation explores how Sophon aims to engage developers and create a vibrant ecosystem for building applications on its platform. In this conversation, Seb discusses the innovative approach of Sophon in leveraging user data for rewards, the potential use cases for their Oracle technology, and how they aim to revolutionize ticketing through blockchain. He emphasizes the importance of creating a positive user experience and the long-term vision of integrating crypto into mainstream business practices, highlighting the readiness of the market for such advancements. Takeaways — Sophon aims to differentiate itself through a fresh user experience. — The focus is on onboarding mainstream users to crypto. — Empathy and understanding user behavior are crucial in product design. — Sophon is designed to feel intuitive like Web2 products. — Data privacy is a key concern in the crypto space. — ZKTLS technology allows for private data verification on-chain. — User-generated data is a valuable commodity for developers. — Sophon encourages experimentation among developers. — The Sophon Data Hub aggregates user data for innovative applications. — Sophon aims to create a seamless experience for users transitioning to crypto. Your habits are generating data, whether you’re playing games or ordering a taxi. — If you can opt into sharing your data, you can get rewards for it. — We need to present crypto in a way that doesn’t feel speculative. — Everybody can opt into something like this and reap the rewards. — We can do interesting things with ticketing and cultural moments. — Prediction markets based on social data could be a new concept. — The secondary ticket market can be made more verifiable and less scammy. — Users should not experience price gouging in ticket sales. — Having a fat treasury allows for long-term thinking and execution. — The infrastructure for crypto is ready to support innovative solutions. People or Companies Mentioned Phantom Wallet, Phantom ZKSync, ZKsync (∎, ∆) Ticketmaster, Ticketmaster Open Ticketing Systems, OPEN Ticketing Ecosystem Spotify, Spotify Uber, Uber Amazon, Amazon Steam, Steam Taylor Swift, Taylor Swift Coca-Cola, Coca-Cola Chanel, CHANEL Balenciaga, @Balenciaga Polymarket, Polymarket Mint (acquired by Intuit), @themintapp Intuit, Intuit Disney, Disney Instagram, Instagram Starbucks, Starbucks Chapters (00:00) Introduction to Sophon and Its Vision (05:34) Understanding User Needs and Product Design (12:17) Engaging Developers and Building Applications (17:57) The Role of ZKTLS and Data in Sophon (24:41) Data Acquisition and User Privacy (26:48) Harnessing Data for Rewards (29:57) Innovative Use Cases for Sophon Oracle (35:50) Revolutionizing Ticketing with Blockchain (39:02) Enhancing User Experience through Data (44:10) Long-Term Vision in a Short-Term Market

papiofficial ᛤ

47,376 просмотров • 1 год назад