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Curious how AI is reshaping tax operations? Explore how Amazon's Canada Tax team navigated critical challenges: fragmented data, manual processes & constant regulatory changes. By implementing Amazon Quick, a unified AI workspace & agentic teammate, the team consolidated systems in one platform, with interactive dashboards, natural language insights &...

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It's not every day I can share news that will completely transform your workday 🚀 Over the last couple of years, we’ve seen how AI can transform our personal lives, but this hasn’t been replicated at work—yet. That's all changing today with Amazon Quick Suite, a new agentic AI experience invented at Amazon and tested by tens of thousands of our employees. Amazon Quick Suite is your AI teammate that helps you cut through the noise of repetitive tasks and fragmented information. It can pull data from your documents (in SharePoint, Google Drive, OneDrive, etc.), emails (like Outlook), messages (like Slack), enterprise apps (like Salesforce and ServiceNow), data warehouses (like Redshift, Snowflake, Databricks, and many more) and the web so you can get work done faster. With support for MCP and partners like Workato and Zapier, you can connect data from 1000s of apps with Quick. There’s a lot more to Quick than I can cover in this post alone—my latest blog has all the details. Give Quick a spin today and see why teams at Amazon are loving this! ➡️
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49,618 просмотров • 11 месяцев назад

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Tracking the Barrels: How NNPC Ltd's PMCC is Transforming Hydrocarbon Operations and Boosting Production 1. Centralized Monitoring and Real-Time Tracking: The NNPC Ltd Production Monitoring Command Centre (PMCC) consolidates data from all operators, providing a unified and real-time view of hydrocarbon production and transport. This ensures prompt identification of anomalies and minimizes unplanned disruptions. 2. Enhanced Decision-Making: By leveraging advanced analytics and integrating data, the PMCC equips stakeholders with actionable insights, enabling proactive planning, risk management, and improved operational efficiency. 3. Effective Maintenance Planning: The PMCC supports predictive and preventive maintenance, ensuring asset reliability and reducing downtime through coordinated tracking of maintenance activities. 4. Collaboration and Communication: The PMCC fosters seamless collaboration among stakeholders by providing a secure platform for data sharing and communication, enhancing problem-solving and operational efficiency. 5. Increased Revenue and Efficiency: By minimizing downtime and improving integrated planning, the PMCC contributes to increased production and revenue, benefiting all stakeholders in the oil and gas value chain. #TrackingTheBarrels #EnergyforToday #EnergyforTomorrow
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Detection is only the first step. Maintaining custody in rapidly shifting environments is where missions are won. The robust and reliable object tracking provided by our Octopus payloads reduces the risk of losing high-value or time-sensitive targets. The result is continuous awareness of the object, even as it moves, changes speed or alters direction. Beyond sustained target custody, continuously following one or more moving objects results in a clearer operational picture overall. Onboard processing provides the operator with actionable data—enabling faster threat assessment, reduced cognitive fatigue, and more confident decision-making. Keep critical targets in sight. Learn more about Redwire’s Octopus #ISR solutions at

Redwire

13,813 просмотров • 2 месяцев назад

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR
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"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR

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41,751 просмотров • 1 год назад

Today, is launching Aim, the first background agent purpose-built for marketers. For months, we've been obsessed with one problem: dashboards tell you what's happening, but not how to act on the data. Aim is the agent harness designed specifically for marketing. Aim is trained from scratch on Profound's proprietary data, grounded in our research, and understands how marketers get work done. Aim analyzes your AI Search data, Prompt Volumes, competitive insights, and Knowledge Base to surface the opportunities worth acting on. It finds the anomalies that matter so you can spend your time on what moves the needle. Every Project comes with a data-backed brief and recommended tasks. From there, you can: • Chat with Aim to refine the plan • Deploy the custom Agent in one click • Track progress automatically Aim is your newest teammate keeping you moving in the right direction, working 24/7.
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Today, is launching Aim, the first background agent purpose-built for marketers. For months, we've been obsessed with one problem: dashboards tell you what's happening, but not how to act on the data. Aim is the agent harness designed specifically for marketing. Aim is trained from scratch on Profound's proprietary data, grounded in our research, and understands how marketers get work done. Aim analyzes your AI Search data, Prompt Volumes, competitive insights, and Knowledge Base to surface the opportunities worth acting on. It finds the anomalies that matter so you can spend your time on what moves the needle. Every Project comes with a data-backed brief and recommended tasks. From there, you can: • Chat with Aim to refine the plan • Deploy the custom Agent in one click • Track progress automatically Aim is your newest teammate keeping you moving in the right direction, working 24/7.

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Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers
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Inside the Quant AI Ecosystem Where Intelligence Meets Markets The crypto and financial landscape is evolving fast, but one problem has remained constant: fragmentation. Traders and users are forced to jump between tools, charts, news feeds, analytics dashboards, sentiment trackers, just to answer one simple question: What’s actually happening in the market right now? This is exactly the gap the Quant AI ecosystem is stepping into. A unified intelligence layer for markets Quant AI is building an ecosystem where market interaction becomes simple, conversational, and accessible. Instead of navigating multiple platforms, users can interact directly with markets using chat and voice. That means: ➠ Asking for real-time market insights in plain language ➠ Tracking smart money movements across assets ➠ Understanding trends in crypto, stocks, and commodities in one place ➠ Acting faster with clearer, AI-driven context It’s not just another analytics tool, it’s an attempt to reshape how information flows in trading environments. Why the ecosystem approach matters Most platforms solve isolated problems: One for charts. One for signals. One for news. But Quant AI is moving toward something broader, an ecosystem where intelligence is centralized, and decision-making becomes faster and more intuitive. The goal is simple: Reduce complexity. Increase clarity. Improve execution. And in markets where speed and information matter, that shift is significant. Start here:👇 Quant AI #QuantAIPioneers

The Agentic Alpha

16,825 просмотров • 3 месяцев назад

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!
1:33

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Sharpe AI

263,308 просмотров • 1 год назад

The Nillion alpha mainnet and the $NIL token just went live earlier this week and it’s time to pay attention. sits neatly at the intersection of AI, compute, crypto, and data. The network was founded back in 2021 and has been refined over the years to become the version you see today. Ollie | 🗡️ has made his case several times by writing a bunch of articles explaining why what the team is doing is revolutionary. In this video, Gaz Explains 🌎 explains how Nillion protects users’ high-value data in this AI era by using privacy enhancing technologies and the ‘blind computing’ approach. To water it all down: The network allows data to be processed without actually revealing or decrypting it. This means, your high-value data doesn’t get to the hands of any third-party. This + more about the underlying tech and product suite in the video. /// Timestamps: 00:00 Disclaimer 0:20 Nillion Network TLDR 1:57 AI Market Growth 2:44 Nillion - Total Addressable Market 3:09 Data Breaches 4:50 What is High-Value Data in the AI Age? 7:38 Blind Computer: How it Works 9:59 PET - Privacy Enhancing Technologies 12:13 Nillion's Product Suite 13:58 Nillion for Private AI 15:33 Nillion & Ritual 17:14 Nillion & Virtual Protocol 19:47 $NIL Tokenomics: What is The Utility? 21:23 Roadmap 22:11 The Nillion Team 23:24 Nillion Foundational Infra for Privacy ///
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The Nillion alpha mainnet and the $NIL token just went live earlier this week and it’s time to pay attention. sits neatly at the intersection of AI, compute, crypto, and data. The network was founded back in 2021 and has been refined over the years to become the version you see today. Ollie | 🗡️ has made his case several times by writing a bunch of articles explaining why what the team is doing is revolutionary. In this video, Gaz Explains 🌎 explains how Nillion protects users’ high-value data in this AI era by using privacy enhancing technologies and the ‘blind computing’ approach. To water it all down: The network allows data to be processed without actually revealing or decrypting it. This means, your high-value data doesn’t get to the hands of any third-party. This + more about the underlying tech and product suite in the video. /// Timestamps: 00:00 Disclaimer 0:20 Nillion Network TLDR 1:57 AI Market Growth 2:44 Nillion - Total Addressable Market 3:09 Data Breaches 4:50 What is High-Value Data in the AI Age? 7:38 Blind Computer: How it Works 9:59 PET - Privacy Enhancing Technologies 12:13 Nillion's Product Suite 13:58 Nillion for Private AI 15:33 Nillion & Ritual 17:14 Nillion & Virtual Protocol 19:47 $NIL Tokenomics: What is The Utility? 21:23 Roadmap 22:11 The Nillion Team 23:24 Nillion Foundational Infra for Privacy ///

blocmates.

29,287 просмотров • 1 год назад

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!
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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

85,182 просмотров • 1 год назад