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🌍 What if frontline workers could step inside their data—and interact with it in real time? That's spatial computing in action. At Dell Tech World, guests Jonathan Siegal (Dell Technologies) and Lori-Lee Elliott (Dauntless (Formerly Future Sight AR)) shared how Katana is blending XR and AI to transform how...

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Six Five Media

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103,622 次观看 • 1 年前 •via X (Twitter)

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Dell Technologies1 年前

Nailed it! XR and AI are opening up awesome new ways to experience and use data. Thanks for sharing!

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AI is delivering measurable results today! 📈 CIO Doug Schmitt joined Daniel Newman and Patrick Moorhead at #DellTechWorld to discuss how organizations like PureHealth in the UAE are using AI to transform healthcare security, processing 1,000 security protocols per second and managing 500+ incidents a day. But that’s just the beginning. From AI-powered operations to full-scale data center modernization, Dell Technologies(link) is helping customers unlock real outcomes across every layer of infrastructure. Watch the full interview to hear how Dell Technologies is driving real outcomes with AI across industries:
1:43

AI is delivering measurable results today! 📈 CIO Doug Schmitt joined Daniel Newman and Patrick Moorhead at #DellTechWorld to discuss how organizations like PureHealth in the UAE are using AI to transform healthcare security, processing 1,000 security protocols per second and managing 500+ incidents a day. But that’s just the beginning. From AI-powered operations to full-scale data center modernization, Dell Technologies(link) is helping customers unlock real outcomes across every layer of infrastructure. Watch the full interview to hear how Dell Technologies is driving real outcomes with AI across industries:

Six Five Media

12,867 次观看 • 1 年前

What does "making enterprise AI real" actually mean? 🤖💼 Dell Technologies Founder, Chairman & CEO, Michael Dell 🇺🇸, broke it down into real terms with Patrick Moorhead and Daniel Newman at #DellTechWorld. Hear his view on how Dell Technologies is: - Simplifying AI implementation at scale - Powering outcomes with Dell AI Factories - Solving real-world problems—from manufacturing to advanced analytics floors to complex data analysis. Enterprise AI is truly accelerating. Watch the full conversation and get an inside look at Dell’s AI strategy:
1:27

What does "making enterprise AI real" actually mean? 🤖💼 Dell Technologies Founder, Chairman & CEO, Michael Dell 🇺🇸, broke it down into real terms with Patrick Moorhead and Daniel Newman at #DellTechWorld. Hear his view on how Dell Technologies is: - Simplifying AI implementation at scale - Powering outcomes with Dell AI Factories - Solving real-world problems—from manufacturing to advanced analytics floors to complex data analysis. Enterprise AI is truly accelerating. Watch the full conversation and get an inside look at Dell’s AI strategy:

Six Five Media

10,789 次观看 • 1 年前

Starcloud (starcloud_inc1) recently made history by launching a satellite with an NVIDIA H100 into orbit — the first time a GPU that powerful has ever operated in space. It's the first step toward building AI data centers in orbit, powered by continuous sunlight and cooled by radiating heat into deep space. Their approach could one day rival the world's biggest data centers while using less energy, zero fresh water, and far lower emissions. YC's Aaron Epstein visited Starcloud's HQ, where co-founders , Ezra Feilden, and Adrian Andrei Oltean explained how they built a working prototype in just 15 months — and why big tech is racing to space for AI compute.
12:55

Starcloud (starcloud_inc1) recently made history by launching a satellite with an NVIDIA H100 into orbit — the first time a GPU that powerful has ever operated in space. It's the first step toward building AI data centers in orbit, powered by continuous sunlight and cooled by radiating heat into deep space. Their approach could one day rival the world's biggest data centers while using less energy, zero fresh water, and far lower emissions. YC's Aaron Epstein visited Starcloud's HQ, where co-founders , Ezra Feilden, and Adrian Andrei Oltean explained how they built a working prototype in just 15 months — and why big tech is racing to space for AI compute.

Y Combinator

338,729 次观看 • 8 个月前

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership
29:51

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

60,855 次观看 • 1 个月前

AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.
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AI is rapidly evolving, and it’s reshaping how and where computing happens. From data center infrastructure to AI systems in the physical world, to the future of personal AI devices, intelligence is being distributed across a new compute landscape. At the edge, more agentic experiences are starting to show up, expanding what devices need to do. Tomorrow in New York, we’ll share what Qualcomm is building across it and how it will drive our next phase of growth. Stay tuned for #QCOMInvestorDay.

Cristiano R. Amon

15,607 次观看 • 21 天前

Is the future of AI $NEAR … ? OpenAI is racing toward a $1T IPO, quickly becoming a centralized beast of epic proportions. But what happens to your data in that world?? As chronear explains, “We can't let centralized actors determine how they store or how they use user data. It should be the users who actually control the custody or use of their data." NEAR AI is building a truly open AI, open source, where users control their data and store their data locally. What AI do you use daily? And would you switch if a better decentralized option existed?
2:34

Is the future of AI $NEAR … ? OpenAI is racing toward a $1T IPO, quickly becoming a centralized beast of epic proportions. But what happens to your data in that world?? As chronear explains, “We can't let centralized actors determine how they store or how they use user data. It should be the users who actually control the custody or use of their data." NEAR AI is building a truly open AI, open source, where users control their data and store their data locally. What AI do you use daily? And would you switch if a better decentralized option existed?

Bri Teresi

25,101 次观看 • 3 个月前

Agentic AI is no longer just a concept. It’s moving very fast, and is bringing it into the real world. At the AI Agent Conference 2026, Humayun shared with thousands of people what this shift means for the future of AI, while Sana W followed with a live demo showing agents in action. From collaboration to live flight bookings. Meanwhile, attendees placed 500+ coffee orders through putting agentic tech to work off-stage too. That's what real utility is 🔥
0:43

Agentic AI is no longer just a concept. It’s moving very fast, and is bringing it into the real world. At the AI Agent Conference 2026, Humayun shared with thousands of people what this shift means for the future of AI, while Sana W followed with a live demo showing agents in action. From collaboration to live flight bookings. Meanwhile, attendees placed 500+ coffee orders through putting agentic tech to work off-stage too. That's what real utility is 🔥

Fetch.ai

11,581 次观看 • 2 个月前

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.
1:21

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.

𝔹𝕃𝕍ℂ𝕂𝕃!𝔾ℍ𝕋

25,084 次观看 • 1 个月前

Thrilled to announce a partnership with Anthropic! Together, we are combining Planet’s deep stack of daily satellite data with Anthropic’s Claude LLM to improve analysis of complex visual information at global scale. This is a win-win: AI helps unlock the value of satellite data — helping analysis at scale for present users and making analysis easier, opening it to a broader set of users. Meanwhile, satellite data helps AI models learn how to tackle real world problems. I recently interviewed Dario Amodei, CEO of Anthropic. Teaser with this post; full interview here: Partnership details:
1:58

Thrilled to announce a partnership with Anthropic! Together, we are combining Planet’s deep stack of daily satellite data with Anthropic’s Claude LLM to improve analysis of complex visual information at global scale. This is a win-win: AI helps unlock the value of satellite data — helping analysis at scale for present users and making analysis easier, opening it to a broader set of users. Meanwhile, satellite data helps AI models learn how to tackle real world problems. I recently interviewed Dario Amodei, CEO of Anthropic. Teaser with this post; full interview here: Partnership details:

Will Marshall

19,444 次观看 • 1 年前

AI is hitting an inflection point—and it's not just about computing power or model layers. Mobile World Live reported from this year's #HWIDI Forum in Paris to fully unpack the theme "Data Awakening, Infra Evolving." As they discovered, the real race is focusing on #Data itself—indeed "the next chapter of AI is data," noted Yuan Yuan, Huawei's VP and President of the Data Storage Product Line. The outcome will ultimately be shaped by how storage unlocks, structures, and activates it. Discover more: Cr. Mobile World Live #HuaweiStorage #DataAwakening #InfraEvolving #Innovation
4:50

AI is hitting an inflection point—and it's not just about computing power or model layers. Mobile World Live reported from this year's #HWIDI Forum in Paris to fully unpack the theme "Data Awakening, Infra Evolving." As they discovered, the real race is focusing on #Data itself—indeed "the next chapter of AI is data," noted Yuan Yuan, Huawei's VP and President of the Data Storage Product Line. The outcome will ultimately be shaped by how storage unlocks, structures, and activates it. Discover more: Cr. Mobile World Live #HuaweiStorage #DataAwakening #InfraEvolving #Innovation

Huawei IT Products & Solutions

34,870 次观看 • 1 个月前

As a leader in embedded computing, AMD empowers developers and engineers to unlock the full potential of AI at the edge. Our embedded portfolio of adaptive SoCs and x86 processor solutions are designed to accelerate insights from data, enabling real-time decision-making, ensuring you maximize productivity and innovation in every project, across industrial, healthcare, space, automotive, and more. 🎥 Dive into our latest video to see how we’re pioneering AI innovation at the edge and setting the standard for what’s possible. #TogetherWeAdvance #AI #Edge
0:41

As a leader in embedded computing, AMD empowers developers and engineers to unlock the full potential of AI at the edge. Our embedded portfolio of adaptive SoCs and x86 processor solutions are designed to accelerate insights from data, enabling real-time decision-making, ensuring you maximize productivity and innovation in every project, across industrial, healthcare, space, automotive, and more. 🎥 Dive into our latest video to see how we’re pioneering AI innovation at the edge and setting the standard for what’s possible. #TogetherWeAdvance #AI #Edge

AMD Embedded

16,675 次观看 • 11 个月前

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.
1:16

JD Vance just admitted the White House could take ownership of every major AI company in the US. Why? Because even governments are starting to realize the same thing: AI will create trillions in value, and at this rate, only a few Big Tech companies will benefit. Right now, billions of people are training AI every day through their data, actions, and online behavior. Yet almost all of the value flows back to a few billionaires and shareholders. That doesn't seem fair. At Action Model, we're building a different future. A people-owned AI model where those helping train it can share in the value they help create. If AI is built by the people, it should benefit the people too. Sign up to the Action Model movement and join the 500k+ users already contributing to a community-owned AI.

Action Model

19,193 次观看 • 26 天前

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇
0:52

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

FX1

23,913 次观看 • 1 年前

This new video, taken by NASA's Parker Solar Probe during its 21st close approach to the Sun, shows a stunning view of the Solar System from inside Mercury’s orbit. It captures solar phenomena like coronal streamers, a small coronal mass ejection, and high-energy particles streaking past the camera. Visible planets include Mercury, Venus, Saturn, Earth, Mars, and Jupiter. A comet, Tsuchinshan-ATLAS, briefly appears with its tail. These observations help us understand how the Sun affects space weather, satellites, astronauts, and Earth’s power grids. Parker Solar Probe is flying closer to the Sun than any spacecraft before it, eventually reaching within 6 million kilometers of the surface. Coronal streamers are bright, plasma-filled structures from the Sun’s outer atmosphere that stretch into space. High-energy particle streaks are due to solar energetic particles hitting the camera, essentially, you're watching radiation in real time. Tsuchinshan-ATLAS is a recently discovered comet, and its tail’s appearance in the video is a rare, spectacular moment. This data is crucial for understanding space weather, which can disrupt communication, GPS, and power systems on Earth.
1:19

This new video, taken by NASA's Parker Solar Probe during its 21st close approach to the Sun, shows a stunning view of the Solar System from inside Mercury’s orbit. It captures solar phenomena like coronal streamers, a small coronal mass ejection, and high-energy particles streaking past the camera. Visible planets include Mercury, Venus, Saturn, Earth, Mars, and Jupiter. A comet, Tsuchinshan-ATLAS, briefly appears with its tail. These observations help us understand how the Sun affects space weather, satellites, astronauts, and Earth’s power grids. Parker Solar Probe is flying closer to the Sun than any spacecraft before it, eventually reaching within 6 million kilometers of the surface. Coronal streamers are bright, plasma-filled structures from the Sun’s outer atmosphere that stretch into space. High-energy particle streaks are due to solar energetic particles hitting the camera, essentially, you're watching radiation in real time. Tsuchinshan-ATLAS is a recently discovered comet, and its tail’s appearance in the video is a rare, spectacular moment. This data is crucial for understanding space weather, which can disrupt communication, GPS, and power systems on Earth.

Erika 

38,506 次观看 • 1 年前

அன்றே கணித்தார் Sriram Krishnan A year ago, on the Good time show, Sriram Krishnan and Aarthi Ramamurthy, along with Alexandr Wang, discussed how crypto can solve the problem of AI data attribution. They also talked about how, when a synthetic AI generation is created from a base data IP and a derivative IP is generated, the base data's IP owner should still receive rightful royalties. At the time, many weren’t aware of the significance, but now this has become a key focus for every DEAI crypto company. At Openledger, our mission is to build an AI DATA infrastructure from start to finish. We gather data from people, create personas from that data, attribute the right contributors—whether for data contribution or synthetic personas (derivatives)—and provide incentives. If you’re a tech founder, make sure to check out Aarthi and Sriram’s podcast at to get some real tech insights.
5:10

அன்றே கணித்தார் Sriram Krishnan A year ago, on the Good time show, Sriram Krishnan and Aarthi Ramamurthy, along with Alexandr Wang, discussed how crypto can solve the problem of AI data attribution. They also talked about how, when a synthetic AI generation is created from a base data IP and a derivative IP is generated, the base data's IP owner should still receive rightful royalties. At the time, many weren’t aware of the significance, but now this has become a key focus for every DEAI crypto company. At Openledger, our mission is to build an AI DATA infrastructure from start to finish. We gather data from people, create personas from that data, attribute the right contributors—whether for data contribution or synthetic personas (derivatives)—and provide incentives. If you’re a tech founder, make sure to check out Aarthi and Sriram’s podcast at to get some real tech insights.

Kamesh 𝐎𝐩𝐞𝐧𝐋𝐞𝐝𝐠𝐞𝐫 🇺🇸

24,736 次观看 • 1 年前

Have you ever seen a robot walk along a waterfront, understand its surroundings, and look out at the sea? 🤖 Thanks to Over the Reality, this is possible. Places like this are mapped every day by our global community of 360 mappers. Using our technology, they are transformed into high-fidelity machine-readable 3D Gaussian Splats. This data can be used to: • navigate robots through the physical world • train AI and Visual Models • power VPS localization • anchor persistent XR content to real-world locations This is just one of more than 250,000 real-world locations already mapped by the Over the Reality community. And unlike traditional datasets, these places can be explored directly through a smartphone, browser, or XR headset, allowing anyone to navigate and experience them in first person. From city streets and waterfronts to landmarks and cultural sites, we're building one of the world's largest machine-readable maps for AI, robotics, and spatial computing.
0:36

Have you ever seen a robot walk along a waterfront, understand its surroundings, and look out at the sea? 🤖 Thanks to Over the Reality, this is possible. Places like this are mapped every day by our global community of 360 mappers. Using our technology, they are transformed into high-fidelity machine-readable 3D Gaussian Splats. This data can be used to: • navigate robots through the physical world • train AI and Visual Models • power VPS localization • anchor persistent XR content to real-world locations This is just one of more than 250,000 real-world locations already mapped by the Over the Reality community. And unlike traditional datasets, these places can be explored directly through a smartphone, browser, or XR headset, allowing anyone to navigate and experience them in first person. From city streets and waterfronts to landmarks and cultural sites, we're building one of the world's largest machine-readable maps for AI, robotics, and spatial computing.

Over the Reality 🌐

31,824 次观看 • 1 个月前

Copilot+ isn't just hype—it’s here. At #DellTechWorld, Sam Burd, President, Client Solutions Group at Dell Technologies, sat down with Daniel Newman and Patrick Moorhead for a conversation overlooking the buzzing show floor. From pushing NPUs deeper into the product stack to enabling real on-device AI experiences, they break down how Dell is helping customers—especially in the enterprise—prepare for the AI-powered PC future. Copilot+ features are going from concept to reality. Find out what that means for the apps and devices of tomorrow. Watch the full interview:
1:05

Copilot+ isn't just hype—it’s here. At #DellTechWorld, Sam Burd, President, Client Solutions Group at Dell Technologies, sat down with Daniel Newman and Patrick Moorhead for a conversation overlooking the buzzing show floor. From pushing NPUs deeper into the product stack to enabling real on-device AI experiences, they break down how Dell is helping customers—especially in the enterprise—prepare for the AI-powered PC future. Copilot+ features are going from concept to reality. Find out what that means for the apps and devices of tomorrow. Watch the full interview:

Six Five Media

12,923 次观看 • 1 年前

Kentuckys fourth District is one of the most beautiful places I’ve seen in this country. Thomas Massey is the only America first candidate who’s trying to preserve this slice of heaven from being turned into AI data center wasteland controlled by Israel first loyalist who are perfectly happy with turning your slice of heaven into their personal welfare state that they own. They want to chop it up bit by a bit and selling it off to these AI data centers and big Tech Giants. If you have time and can help us with this get out and vote campaign for Thomas Massie, we can stop these bastards.
2:55

Kentuckys fourth District is one of the most beautiful places I’ve seen in this country. Thomas Massey is the only America first candidate who’s trying to preserve this slice of heaven from being turned into AI data center wasteland controlled by Israel first loyalist who are perfectly happy with turning your slice of heaven into their personal welfare state that they own. They want to chop it up bit by a bit and selling it off to these AI data centers and big Tech Giants. If you have time and can help us with this get out and vote campaign for Thomas Massie, we can stop these bastards.

RyanMatta 🇺🇸 🦅

127,454 次观看 • 2 个月前

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!
2:24

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

84,686 次观看 • 1 年前

What happened one month after launching Action Model? 👾 250,000+ users. 👾 100,000+ browser extension downloads. 👾 Over 2,000 years of training data contributed to our community-owned AI model. And we’re just getting started. We’re building a new kind of AI platform, where users don’t just use AI, they train it, earn from it, and own part of it. Next up: ActionFi and Actionist Two major launches you won’t want to miss. If you’re interested in AI, automation, and the future of community-owned technology, now is the time to get involved.
0:49

What happened one month after launching Action Model? 👾 250,000+ users. 👾 100,000+ browser extension downloads. 👾 Over 2,000 years of training data contributed to our community-owned AI model. And we’re just getting started. We’re building a new kind of AI platform, where users don’t just use AI, they train it, earn from it, and own part of it. Next up: ActionFi and Actionist Two major launches you won’t want to miss. If you’re interested in AI, automation, and the future of community-owned technology, now is the time to get involved.

Action Model

31,574 次观看 • 2 个月前