Bill Trim: 500 Demo Day Batch 21
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This document describes a company called BillTrim that negotiates bills on behalf of customers. BillTrim keeps 75% of savings from negotiated bills as revenue. The company has low customer acquisition costs, high lifetime value per customer, and large potential market size in negotiating $125 billion in annual bills in the US. Monthly gross revenue projections show steady growth from launch.
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This document discusses low-code for software engineers and the benefits it provides. The CEO and leadership team are introduced, including that the CEO has 14 years experience in developer tools and his last business was a market leader. There is also a mention of a partnership to help HR during the coronavirus crisis and that the platform discussed is aimed to benefit the entire development team.
Pilota
Pilota created AI algorithms that can predict flights at risk of disruption. They use this to proactively book travelers on a new flight for free during expected disruptions.
Mero Technologies
Supply and traffic analytics for commercial properties to improve cleanliness, customer experience and save 35% of operational costs.
Omnitron Sensors
Omnitron Sensors provides a new degree of freedom to design with silicon process for sensors.
Juked
Esports is growing exponentially, but is still a highly fragmented industry. Juked is changing the game by creating the internet's first one-stop-destination for esports entertainment.
GamerzClass
GamerzClass is an e-learning platform that provides video courses and professional instructors to help gamers improve their skills. It currently has over 105,000 registered users and 10,000 paying customers, with $202,000 in revenue in 2019. The company's solution addresses the problems gamers face with a lack of structure and inefficient learning through its exclusive video content and data-driven progress tracking. It sees significant growth opportunities as the esports industry grows to be a $300 billion market by 2021 with over 160 million users.
eino
eino is a prediction platform; they help companies increase revenue in capital planning and supply chain management by analyzing possible future scenarios and determining prudent actions.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
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Everything I found interesting about the irresponsible use of machine intelligence in May 2024
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Mind map of terminologies used in context of Generative AI
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
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BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
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4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
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6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
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10. Configuring Camel K Integrations for Data Pipelines
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
GraphRAG for Life Science to increase LLM accuracy
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20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Things to Consider When Choosing a Website Developer for your Website | FODUU
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Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Infrastructure Challenges in Scaling RAG with Custom AI models
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Mind map of terminologies used in context of Generative AI
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Choosing The Best AWS Service For Your Website + API.pptx
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Monitoring and Managing Anomaly Detection on OpenShift.pdf
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Best 20 SEO Techniques To Improve Website Visibility In SERP
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Bill Trim: 500 Demo Day Batch 21
- 1. Effortless Bill Negotiation Dipesh Desai - CEO angel.co/billtrim | invest@billtrim.com
- 2. You Are Being Screwed angel.co/billtrim | invest@billtrim.com
- 3. Your Bills Are Too Damn High angel.co/billtrim | invest@billtrim.com
- 4. Give Us Your Bills We Negotiate For You Keep 75% Of Savings angel.co/billtrim | invest@billtrim.com
- 5. Unit Economics CAC - $34* LTV - $210 Savings - $840 angel.co/billtrim | invest@billtrim.com *Fully Loaded
- 6. U.S. Market Size $125 Billion angel.co/billtrim | invest@billtrim.com
- 7. $0 $7,000 $14,000 $21,000 $28,000 Jan Feb Mar Apr May Jun Jul Monthly Gross Revenue angel.co/billtrim | invest@billtrim.com
- 8. Dipesh Desai - CEO Anu Sura - CTO angel.co/billtrim | invest@billtrim.com
- 9. 1. Give Us Your Bills 2. We Save You Money 3. Invest It In BillTrim! angel.co/billtrim | invest@billtrim.com