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Is your data truly secure? 🤔 A recent study published by NetApp and The Futurum Group reveals that 54% of businesses have experienced cyberattacks in the last 18 months. Analyst Krista Case (Macomber) and NetApp's Gagan Gulati discuss the study's findings, emphasizing the importance of data classification and the...

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Six Five Media

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40,014 görüntüleme • 1 yıl önce •via X (Twitter)

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We're counting down to the special live-streamed conversation with NetApp and The Futurum Group! Join us Wednesday, January 29, at 11AM CT as Gagan Gulati, NetApp General Manager Data Services, and Futurum Group CEO, Daniel Newman discuss the recent report on Cloud, Complexity, AI: The Threats Demanding New Cyber Resilience Thinking. Access the event here: Get a preview into some of the conversation points in this clip with Gagan Gulati and Krista Case (Macomber).👇
0:52

We're counting down to the special live-streamed conversation with NetApp and The Futurum Group! Join us Wednesday, January 29, at 11AM CT as Gagan Gulati, NetApp General Manager Data Services, and Futurum Group CEO, Daniel Newman discuss the recent report on Cloud, Complexity, AI: The Threats Demanding New Cyber Resilience Thinking. Access the event here: Get a preview into some of the conversation points in this clip with Gagan Gulati and Krista Case (Macomber).👇

Six Five Media

40,547 görüntüleme • 1 yıl önce

Join us for another segment at #NetAppINSIGHT 2024, as NetApp’s gagangulati and host Krista Case (Macomber) discuss $NTAP's strategies for optimizing data resilience against cyber threats, the pivotal role of IDI in business agility, and the future of cloud computing.
20:16

Join us for another segment at #NetAppINSIGHT 2024, as NetApp’s gagangulati and host Krista Case (Macomber) discuss $NTAP's strategies for optimizing data resilience against cyber threats, the pivotal role of IDI in business agility, and the future of cloud computing.

Six Five Media

55,440 görüntüleme • 1 yıl önce

We believe LLMs are transforming programming — making it easier for beginners to learn, and helping experienced developers navigate libraries and syntax more efficiently. In this episode of AI + a16z, Fivetran co-founder and CEO George Fraser and a16z partner Guido Appenzeller discuss how enterprises can integrate LLMs into data management without overhauling their infrastructure — emphasizing the importance of strong data hygiene to maximize their potential.
0:26

We believe LLMs are transforming programming — making it easier for beginners to learn, and helping experienced developers navigate libraries and syntax more efficiently. In this episode of AI + a16z, Fivetran co-founder and CEO George Fraser and a16z partner Guido Appenzeller discuss how enterprises can integrate LLMs into data management without overhauling their infrastructure — emphasizing the importance of strong data hygiene to maximize their potential.

a16z

12,767 görüntüleme • 1 yıl önce

Ringfence: The Data Monetization Protocol for AI Your data is yours. And, despite what Big Tech might say, it's more valuable than ever. Learn all about Ringfence Protocol in the latest Founders on NEAR Case Study and don't forget to check the alpha in the tweet below:
1:16

Ringfence: The Data Monetization Protocol for AI Your data is yours. And, despite what Big Tech might say, it's more valuable than ever. Learn all about Ringfence Protocol in the latest Founders on NEAR Case Study and don't forget to check the alpha in the tweet below:

NEAR Protocol

33,641 görüntüleme • 2 yıl önce

Introducing the AI Analyst 3.0✨ Since we launched it last year, the Analyst answered more than 300k of your questions and was used by more than 100k people. But many of you asked us for more capabilities: to help you visualize your analysis, enrich your datasets with new columns, format data and more. We packed all of that feedback into today's launch: a new Analyst rebuilt from the ground up to be a smarter, faster and a more versatile data analyst for your spreadsheets. Available today. See it in action 👇
3:10

Introducing the AI Analyst 3.0✨ Since we launched it last year, the Analyst answered more than 300k of your questions and was used by more than 100k people. But many of you asked us for more capabilities: to help you visualize your analysis, enrich your datasets with new columns, format data and more. We packed all of that feedback into today's launch: a new Analyst rebuilt from the ground up to be a smarter, faster and a more versatile data analyst for your spreadsheets. Available today. See it in action 👇

Rows

12,395 görüntüleme • 2 yıl önce

Discover how success in #GenAI hinges on #Data and #Cloud. Watch HCLTech experts Alan Flower and Siki Giunta discuss the rise of GenAI, the purpose of continuous modernization in cloud and the data journey. Learn more. #SuperchargingProgress
1:51

Discover how success in #GenAI hinges on #Data and #Cloud. Watch HCLTech experts Alan Flower and Siki Giunta discuss the rise of GenAI, the purpose of continuous modernization in cloud and the data journey. Learn more. #SuperchargingProgress

HCLTech

2,580,241 görüntüleme • 2 yıl önce

In our latest Partner Podcast, Jeanette Gessler, VP of Box Consulting, Mike Carlino from Deloitte, and Shivani Majewski from DeloitteDigital, dive into the challenges of governing unstructured data. Timestamps 01:08 Data readiness and the importance of foundation for AI 05:58 Leveraging unstructured data and its governance 07:26 The role of clean and structured data in improving client satisfaction 08:39 Adoption and the importance of change management in integrations 11:54 Importance of reliable, clean data in AI use cases 12:35 Insights into practical applications for business improvement 13:12 Successful AI use cases in regulated industries like insurance and banking 16:51 The buzz around AI agents and moving toward practical AI use cases 19:00 How clients react when data is unlocked and actionable 22:12 Tailoring solutions to clients based on maturity and needs
23:14

In our latest Partner Podcast, Jeanette Gessler, VP of Box Consulting, Mike Carlino from Deloitte, and Shivani Majewski from DeloitteDigital, dive into the challenges of governing unstructured data. Timestamps 01:08 Data readiness and the importance of foundation for AI 05:58 Leveraging unstructured data and its governance 07:26 The role of clean and structured data in improving client satisfaction 08:39 Adoption and the importance of change management in integrations 11:54 Importance of reliable, clean data in AI use cases 12:35 Insights into practical applications for business improvement 13:12 Successful AI use cases in regulated industries like insurance and banking 16:51 The buzz around AI agents and moving toward practical AI use cases 19:00 How clients react when data is unlocked and actionable 22:12 Tailoring solutions to clients based on maturity and needs

Box

190,470 görüntüleme • 6 ay önce

We're making one of the world's most data-rich organizations more accessible with Football AI Pro, a customized AI assistant that can read vast amounts of @FIFA data to deliver information to players, coaches, and fans in seconds. Learn more:
1:46

We're making one of the world's most data-rich organizations more accessible with Football AI Pro, a customized AI assistant that can read vast amounts of @FIFA data to deliver information to players, coaches, and fans in seconds. Learn more:

Lenovo

4,034,664 görüntüleme • 8 ay önce

AI is transforming the way businesses operate 🤖. It helps companies work faster, cut costs, and make smarter decisions. From automating repetitive tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI can’t function without data 📊. Massive amounts of high-quality data are required to train models and make them effective. Right now, most of this data is controlled by a few centralized giants 🔒, making it expensive, siloed, and out of reach for smaller businesses and innovators. This is where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By combining decentralized storage with AI infrastructure powered by blockchain, OORT makes data open, secure, and accessible to everyone. It’s building a foundation where businesses of all sizes can tap into AI’s full potential and compete in the AI-driven economy 🚀
0:44

AI is transforming the way businesses operate 🤖. It helps companies work faster, cut costs, and make smarter decisions. From automating repetitive tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI can’t function without data 📊. Massive amounts of high-quality data are required to train models and make them effective. Right now, most of this data is controlled by a few centralized giants 🔒, making it expensive, siloed, and out of reach for smaller businesses and innovators. This is where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By combining decentralized storage with AI infrastructure powered by blockchain, OORT makes data open, secure, and accessible to everyone. It’s building a foundation where businesses of all sizes can tap into AI’s full potential and compete in the AI-driven economy 🚀

Sky Wee

58,239 görüntüleme • 10 ay önce

Today IBM Security released the annual Cost of a Data Breach Report, showing all-time high data breach costs–leaving businesses divided in how they plan to handle the increases. See the findings:
0:31

Today IBM Security released the annual Cost of a Data Breach Report, showing all-time high data breach costs–leaving businesses divided in how they plan to handle the increases. See the findings:

IBM News

2,961,785 görüntüleme • 3 yıl önce

AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum
1:12

AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum

The Futurum Group

75,859 görüntüleme • 4 ay önce

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
0:49

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,559 görüntüleme • 1 yıl önce

Bharti Airtel—controlled by billionaire Sunil Mittal—and a group of investors are investing $1 billion in data center projects in India to tap into the AI boom in the world’s most populous country. Read more:
4:41

Bharti Airtel—controlled by billionaire Sunil Mittal—and a group of investors are investing $1 billion in data center projects in India to tap into the AI boom in the world’s most populous country. Read more:

Forbes

19,519 görüntüleme • 5 ay önce

ICYMI: On the latest Electric Perspectives Podcast, EEI President and CEO Drew Maloney and Matt DeCourcey, vice president of the Energy Practice at Charles River Associates discuss CRA's new analysis of U.S. electricity rates and what the data reveals about electricity rate trends, regional factors, and the role of data centers. Press play to listen as Matt explains that, despite common perceptions, data centers were not the drivers behind rate increases and provides important context for what the data actually shows across the country. 🎧 Listen to the full conversation now: Read EEI’s full press release:
0:27

ICYMI: On the latest Electric Perspectives Podcast, EEI President and CEO Drew Maloney and Matt DeCourcey, vice president of the Energy Practice at Charles River Associates discuss CRA's new analysis of U.S. electricity rates and what the data reveals about electricity rate trends, regional factors, and the role of data centers. Press play to listen as Matt explains that, despite common perceptions, data centers were not the drivers behind rate increases and provides important context for what the data actually shows across the country. 🎧 Listen to the full conversation now: Read EEI’s full press release:

EEI

19,229 görüntüleme • 7 ay önce

We have data in abundance now. The real value isn't within the RAW Data, but is this data validated and verified? More value in data refinement. We have a solution for this which is validated by 6 years of research and development with the Department of Defense Now securing and validating commercial data from partners like Common Crawl and Panasonic
1:03

We have data in abundance now. The real value isn't within the RAW Data, but is this data validated and verified? More value in data refinement. We have a solution for this which is validated by 6 years of research and development with the Department of Defense Now securing and validating commercial data from partners like Common Crawl and Panasonic

Constellation²

10,567 görüntüleme • 1 yıl önce

The intersection of crypto and AI, presented by OpenLedger Tim Copeland was joined by OpenLedger core contributor Ram in this sponsored episode to discuss the emerging intersection of decentralized AI and blockchain technology. The conversation covers OpenLedger’s infrastructure that lets users contribute proprietary data to train AI models, tokenomics, and the broader promise of creating a transparent, community-driven AI economy. OUTLINE 00:00 – Introduction 01:02 – What is Openledger? 02:27 – Data Contribution Model 08:47 – Access to Agents 15:16 – Ensuring Quality Data 19:09 – Incentive Structures 23:18 – The Role of Tokens 24:56 – The Convergence of AI and Crypto 27:53 – Competing with Centralized Systems 30:23 – Openledger's Future and Success 33:32 – Data Economy Insights 36:17 – Conclusion
36:50

The intersection of crypto and AI, presented by OpenLedger Tim Copeland was joined by OpenLedger core contributor Ram in this sponsored episode to discuss the emerging intersection of decentralized AI and blockchain technology. The conversation covers OpenLedger’s infrastructure that lets users contribute proprietary data to train AI models, tokenomics, and the broader promise of creating a transparent, community-driven AI economy. OUTLINE 00:00 – Introduction 01:02 – What is Openledger? 02:27 – Data Contribution Model 08:47 – Access to Agents 15:16 – Ensuring Quality Data 19:09 – Incentive Structures 23:18 – The Role of Tokens 24:56 – The Convergence of AI and Crypto 27:53 – Competing with Centralized Systems 30:23 – Openledger's Future and Success 33:32 – Data Economy Insights 36:17 – Conclusion

The Block Media

51,907 görüntüleme • 1 yıl önce

Meet watsonx, our AI and data platform built for business. Leveraging the power of foundation models, generative AI and ML, #watsonx can make the most of your data and offers trusted, scalable, adaptable #AI to embed deep into your business. Learn more:
0:51

Meet watsonx, our AI and data platform built for business. Leveraging the power of foundation models, generative AI and ML, #watsonx can make the most of your data and offers trusted, scalable, adaptable #AI to embed deep into your business. Learn more:

IBM

13,319 görüntüleme • 3 yıl önce

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”
1:33

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,450 görüntüleme • 10 ay önce