Artificial Intelligence in the Financial IndustriesGerardo Salandra
As Artificial Intelligence makes its way into our lives, many financial institutions are faced with the difficult question “Should AI be embraced?”. While the eagerness to integrate AI into the financial sector has waxed and waned over the past few decades, it now appears that Fintech is ready to dive head-first into AI as a standard for handling customer transactions, financial risk assessment, industry regulatory compliance and reduced institutional costs.
There is no doubt that AI can be invaluable for the financial industry, but it comes at a price. We expect to witness both success stories and tragic failures over the course of the next few years. With any first-generation technology, there are going to be bugs to solve, and a learning curve before intimate industry familiarity with AI is obtained.
AI is not only going to revolutionize the financial industry but become the industry itself.
AI-Finance-and Future of PV-SMC Final-10-18-16Shaun Comfort
Presentation showing how other fields such as finance have moved unequivocally towards automation and machine learning. This presentation speculates that the field of PV is ripe for disruptive innovation using machine learning, like much of medicine in general.
This document provides an overview of machine learning, data mining, and knowledge discovery. It discusses how technological advances have led to an explosion in the amount of data being generated. It then describes several common applications of data mining in business and science. Finally, it outlines some major data mining tasks like classification, clustering, and association rule mining.
The document discusses the use of artificial intelligence and machine learning in the financial industry. It covers emerging trends like increased regulations, growth of digital technologies, and the emergence of AI/ML. It also discusses key concepts like big data, different types of machine learning (supervised, unsupervised, reinforcement, deep learning), and applications in areas like portfolio management, algorithmic trading, fraud detection, and chatbots. The future of AI in finance is seen as promising with potential for more widespread use of these technologies across various business problems in finance and other industries.
Recently, AI has spread its impacts on various fields and finance is not an exception. With over 15 years working in banking industry, Mr Le Cong Binh brought to VFS not only the theories but also the practical use case that reflected the best how AI was affecting this industry.
Graph Gurus Episode 34: Graph Databases are Changing the Fraud Detection and ...TigerGraph
Full Webinar: https://info.tigergraph.com/graph-gurus-34
During this webinar we:
-Examine how graph analytics can lower the total cost of fraud;
-Describe how graph analytics can improve credit card fraud detection;
-Explore the application of graph analytics to an anti-money laundering use case.
Application of Artificial Intelligence in Indian Banking Opportunities and Ch...ijtsrd
Banking is the most important sector of any economy because it connects the most with government and public at large and also it protects the economy from any crises. Technology has brought tremendous change, it has made both positive and negative impact on every sector and banking sector is the most dynamic in technological transformation. Among the various technological transformations of recent, the birth of Artificial intelligence is particularly remarkable. AI is fast evolving as the go to technology for banking sectors across the world to personalise experience for individuals. With data analytics, block chain and machine learning, banks are advancing their services and offerings. The technology itself is getting better and smarter day by day, allowing more and newer banks to adopt the AI for various applications. Banking sector is becoming one of the first adopters of AI. And just like other segments, banks are exploring and implementing the technology in various ways. AI refers to computers having cognitive skills similar to humans, which could result in immense efficiency gains for banks and their clients alike. It is important to understand how AI can influence the Banking sector hence this paper is an attempt to understand the opportunities and challenges of Artificial intelligence for Indian banking sector. Prof. Mohammed Nawaz | Prof. Triveni. K | Prof. Bharathi. G. R "Application of Artificial Intelligence in Indian Banking-Opportunities and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37964.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/37964/application-of-artificial-intelligence-in-indian-bankingopportunities-and-challenges/prof-mohammed-nawaz
What you'll get to learn :
Introduction: Healthcare IT and Liferay
Importance of Healthcare IT
Future of Healthcare
How Smart Healthcare is the game changer?
Challenges - Healthcare IT
How to overcome the challenges?
Liferay for digital transformation
Liferay for Healthcare IT
Why Liferay for healthcare IT solution?
Benefits of having unified omnichannel healthcare experience platform
Liferay case studies for Healthcare IT
How AIMDek can help ?
Q&A Session
Artificial Intelligence in the Financial IndustriesGerardo Salandra
As Artificial Intelligence makes its way into our lives, many financial institutions are faced with the difficult question “Should AI be embraced?”. While the eagerness to integrate AI into the financial sector has waxed and waned over the past few decades, it now appears that Fintech is ready to dive head-first into AI as a standard for handling customer transactions, financial risk assessment, industry regulatory compliance and reduced institutional costs.
There is no doubt that AI can be invaluable for the financial industry, but it comes at a price. We expect to witness both success stories and tragic failures over the course of the next few years. With any first-generation technology, there are going to be bugs to solve, and a learning curve before intimate industry familiarity with AI is obtained.
AI is not only going to revolutionize the financial industry but become the industry itself.
AI-Finance-and Future of PV-SMC Final-10-18-16Shaun Comfort
Presentation showing how other fields such as finance have moved unequivocally towards automation and machine learning. This presentation speculates that the field of PV is ripe for disruptive innovation using machine learning, like much of medicine in general.
This document provides an overview of machine learning, data mining, and knowledge discovery. It discusses how technological advances have led to an explosion in the amount of data being generated. It then describes several common applications of data mining in business and science. Finally, it outlines some major data mining tasks like classification, clustering, and association rule mining.
The document discusses the use of artificial intelligence and machine learning in the financial industry. It covers emerging trends like increased regulations, growth of digital technologies, and the emergence of AI/ML. It also discusses key concepts like big data, different types of machine learning (supervised, unsupervised, reinforcement, deep learning), and applications in areas like portfolio management, algorithmic trading, fraud detection, and chatbots. The future of AI in finance is seen as promising with potential for more widespread use of these technologies across various business problems in finance and other industries.
Recently, AI has spread its impacts on various fields and finance is not an exception. With over 15 years working in banking industry, Mr Le Cong Binh brought to VFS not only the theories but also the practical use case that reflected the best how AI was affecting this industry.
Graph Gurus Episode 34: Graph Databases are Changing the Fraud Detection and ...TigerGraph
Full Webinar: https://info.tigergraph.com/graph-gurus-34
During this webinar we:
-Examine how graph analytics can lower the total cost of fraud;
-Describe how graph analytics can improve credit card fraud detection;
-Explore the application of graph analytics to an anti-money laundering use case.
Application of Artificial Intelligence in Indian Banking Opportunities and Ch...ijtsrd
Banking is the most important sector of any economy because it connects the most with government and public at large and also it protects the economy from any crises. Technology has brought tremendous change, it has made both positive and negative impact on every sector and banking sector is the most dynamic in technological transformation. Among the various technological transformations of recent, the birth of Artificial intelligence is particularly remarkable. AI is fast evolving as the go to technology for banking sectors across the world to personalise experience for individuals. With data analytics, block chain and machine learning, banks are advancing their services and offerings. The technology itself is getting better and smarter day by day, allowing more and newer banks to adopt the AI for various applications. Banking sector is becoming one of the first adopters of AI. And just like other segments, banks are exploring and implementing the technology in various ways. AI refers to computers having cognitive skills similar to humans, which could result in immense efficiency gains for banks and their clients alike. It is important to understand how AI can influence the Banking sector hence this paper is an attempt to understand the opportunities and challenges of Artificial intelligence for Indian banking sector. Prof. Mohammed Nawaz | Prof. Triveni. K | Prof. Bharathi. G. R "Application of Artificial Intelligence in Indian Banking-Opportunities and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37964.pdf Paper URL : https://www.ijtsrd.com/computer-science/artificial-intelligence/37964/application-of-artificial-intelligence-in-indian-bankingopportunities-and-challenges/prof-mohammed-nawaz
What you'll get to learn :
Introduction: Healthcare IT and Liferay
Importance of Healthcare IT
Future of Healthcare
How Smart Healthcare is the game changer?
Challenges - Healthcare IT
How to overcome the challenges?
Liferay for digital transformation
Liferay for Healthcare IT
Why Liferay for healthcare IT solution?
Benefits of having unified omnichannel healthcare experience platform
Liferay case studies for Healthcare IT
How AIMDek can help ?
Q&A Session
Ashok Srivastava at AI Frontiers : Using AI to Solve Complex Economic ProblemsAI Frontiers
Nearly half of all small businesses fail within their first 5 years. However, AI-driven solutions can help solve complex economic problems for consumers and small businesses like missed bill payments, insufficient capital, overinvestment in fixed assets, and more.
Ashok Srivastava discusses technology's role in solving economic problems and details how Intuit is using its unrivaled financial dataset to power prosperity around the world. Leveraging technology enablers like deep learning, natural language processing, and automated reasoning and combining with a delightful end-user experience and sophisticated UX, Intuit is using technology to help its users have more confidence in their financial management.
Artificial Intelligence: a driver of innovation in the Banking Sector - The Italian case
Marco Rotoloni (Head of the research team on banking operations, ABI Lab)
Global Corporate Venturing Corporate Venture Investment in Artificial Intelli...Jessica Straus
The document discusses corporate venture capital (CVC) investments in artificial intelligence (AI) startups. It notes that while the number of CVC-backed AI deals grew until 2014, the trend slowed in 2015. However, the capital committed to AI deals has continued to rise, with fewer but larger deals. The top categories receiving CVC investments are machine learning, speech technology, and virtual personal assistants. The top 10 deals by funding size are also listed. Finally, the top corporate VC investors in AI and some of their portfolio companies/investments are outlined.
Investors foresee a safe bet on deep tech startupseTailing India
Indian deep technology start-ups have become the most sought after bets for angels and venture capital (VC) funds for their potential to scale up rapidly and be able to offer an opportunity for early exit for the investors.
3 AI applications in banking to look out in 2025! Tyrone Systems
Artificial Intelligence has impacted one industry more than any other, it’s the Banking industry. For organizations working in the banking industry, it has become increasingly crucial to keep up with competition, and increase their standing as an innovative company.com
1. The document provides an agenda for a presentation on machine learning and AI in finance. The presentation will cover key trends in AI, an introduction to machine learning concepts, and two case studies on interest rate prediction and synthetic data generation.
2. The speaker is introduced as an advisory consultant with experience in financial analytics and teaching AI/ML topics. He is the founder and CEO of QuantUniversity, a training platform for quantitative methods.
3. The presentation will provide an intuitive introduction to machine learning and AI concepts and discuss their growing impact and applications in finance industry such as fraud detection and arbitrage opportunities.
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
This document introduces COIS, a company dedicated to driving growth in financial technology through blockchain solutions. It provides secure investment platforms using quantitative strategies that consider risk and returns. COIS's mission is to deliver exceptional financial technology products and services to help clients achieve goals while advancing the industry. The vision is to revolutionize finance by becoming a leading provider of cutting-edge solutions and creating value for clients through technological innovation.
AlgoB – Cryptocurrency price prediction system using LSTMIRJET Journal
This document describes a cryptocurrency price prediction system called AlgoB that uses an LSTM neural network model. The system was developed by four students to predict cryptocurrency prices with high accuracy. It takes historical price data as input and can predict future prices. The system uses libraries like NumPy, Pandas, TensorFlow and Matplotlib. It achieves 80% prediction accuracy, outperforming regression and tree models. The LSTM model is trained on price data and evaluates predictions against real prices. This helps traders understand market movements and identify good times to buy and sell cryptocurrencies.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
AI and the Binance Clone Script Opening Doors to the Future of Crypto Exchang...Logan Paul
Step into Tomorrow: Explore advanced cryptocurrency trading with MetaDiac's AI-Powered Binance Clone Script!
Discover AI's power for smarter decisions, automated tactics, and accurate predictions. Elevate your trading with personalized experiences, improved strategies, and round-the-clock AI assistance.
Further information: https://www.metadiac.com/binance-clone-script
Call/ Whatsapp: +91 79043 55337
Email: sales@metadiac.com
Skype: live:.cid.86bdcd0d7aa212
This document provides an overview of AnalytixInsight Inc., an artificial intelligence company that provides financial analytics using machine learning. It summarizes AnalytixInsight's platforms and products, which include natural language reports on 50,000 stocks generated from 100 billion daily computations, predictive analytics, a robo-advisor, and workflow analytics software. It also discusses AnalytixInsight's subsidiaries including Euclides Technologies, which provides field service management software, and Marketwall, a fintech company building stock trading and mobile banking apps with a partner bank in Italy.
I'M META TRADER (IMMT) Presentation Decksamuel666269
IMMT is an all-in-one AI powered crypto trading platform that aims to address the fragmented trading experience and difficulty making informed trading decisions in crypto. It offers a unified trading terminal, AI trading assistant, and access to top exchanges through a single account. The platform has over 30,000 users and $10 billion in monthly trading volume. IMMT also has its own token ($IMMT) that will be used to power the platform and provide utility such as paying trading fees.
How AI and blockchain can help you earn a passive income Blockchain Council
The document discusses how AI and blockchain technologies can help users earn passive income. It explains that AI relies on large datasets for training models to solve problems, and blockchain provides an immutable and decentralized way to store and access data. The document then gives examples of how AI is already used for passive income activities like cryptocurrency trading based on historical market data. It describes one platform called Autonio that allows users to create AI trading algorithms based on technical indicators. In summary, the document outlines how combining AI abilities with blockchain's data capabilities could power new passive income opportunities for investors.
AI-powered NFT Marketplace can suggest relevant NFTs to users based on their interests and past purchases. This help users discover new and exciting digital assets and make the process of buying and selling NFTs more enjoyable and revolutionizes NFT investment strategy with the NFTAnalytics dashboard,this provides unparalleled insights and analysis of the non-fungible token market.
https://www.mobiloitte.com/blockchain/nft-marketplace-development-company/
Derivatives product ecosystem to crypto asset market idap.ioidao_io
The IDAP ecosystem is thereby going to be the comprehensive solution for traders. Harnessing all the advantages of the traditional trading market and distilling them to suit the cryptocurrency landscape, the IDAP ecosystem will offer a boost to the crypto market in the right direction.
UNRAVELING THE POWER OF QUANTOPIAN ALGORITHMS IN FINANCIAL MARKETSRiya Sen
In today’s fast-paced financial world, staying ahead of the curve is a must for traders and investors. With the advent of technology, the use of algorithmic trading strategies has become increasingly popular. Among the many platforms that cater to algorithmic trading, Quantopian stands out as a powerful tool. In this blog post, we will delve into the world of Quantopian algorithms, exploring what they are, how they work, and their significance in financial markets.
Skylads is an AdTech company providing technological solutions for Real-Time Bidding campaign management. We adapt and further improve the latest theories in Machine Learning and Applied Mathematics to develop the most powerful and easy-to-use products suite for media buyers. Our algorithms enable traders to manage and execute their entrusted campaigns with greater efficiency, while saving time and resources.
Exploring The Benefits Of Investment News.pdfi-invest Online
Who would not choose to hold themself updated? Let's take you to the nice on-line portal that is i-invest on-line which will assist you in getting all the modern updates of the innovation information and many extra information that will be applicable and up to date for you. Innovation information will preserve you up to date about all the improvements that have been carried out globally so that you can additionally use them.
Navigating the Future: How AI is Transforming the Crypto Landscapemaker Money
The dynamic landscape of the financial world is experiencing a paradigm shift with the intersection of artificial intelligence (AI) and cryptocurrency. This article delves into how AI is transforming the crypto landscape, offering new tools and challenges for investors, and reshaping the future of investment strategies. We explore the synergy between AI and cryptocurrency, the role of AI in market analysis, the need for upskilling in this new era, and the ethical considerations that must be addressed.
This document provides an investor pitch for a trading tool called "Orbit the Tool" that claims to significantly reduce risk in trading markets using mathematical modeling. It seeks $250,000 in funding to build the tool. The tool uses chaos mathematics to isolate a "singularity" that predicts market movement, guiding traders to the optimal entry and exit points. It argues the tool could gain 100,000 subscribers in the first year at $250/month each, generating $300 million in revenue by automating trading for retail and institutional traders globally across all markets. Competition lacks their proprietary mathematical model and skills. Validation is provided through team experience and a video explaining the tool and underlying mathematics.
Ashok Srivastava at AI Frontiers : Using AI to Solve Complex Economic ProblemsAI Frontiers
Nearly half of all small businesses fail within their first 5 years. However, AI-driven solutions can help solve complex economic problems for consumers and small businesses like missed bill payments, insufficient capital, overinvestment in fixed assets, and more.
Ashok Srivastava discusses technology's role in solving economic problems and details how Intuit is using its unrivaled financial dataset to power prosperity around the world. Leveraging technology enablers like deep learning, natural language processing, and automated reasoning and combining with a delightful end-user experience and sophisticated UX, Intuit is using technology to help its users have more confidence in their financial management.
Artificial Intelligence: a driver of innovation in the Banking Sector - The Italian case
Marco Rotoloni (Head of the research team on banking operations, ABI Lab)
Global Corporate Venturing Corporate Venture Investment in Artificial Intelli...Jessica Straus
The document discusses corporate venture capital (CVC) investments in artificial intelligence (AI) startups. It notes that while the number of CVC-backed AI deals grew until 2014, the trend slowed in 2015. However, the capital committed to AI deals has continued to rise, with fewer but larger deals. The top categories receiving CVC investments are machine learning, speech technology, and virtual personal assistants. The top 10 deals by funding size are also listed. Finally, the top corporate VC investors in AI and some of their portfolio companies/investments are outlined.
Investors foresee a safe bet on deep tech startupseTailing India
Indian deep technology start-ups have become the most sought after bets for angels and venture capital (VC) funds for their potential to scale up rapidly and be able to offer an opportunity for early exit for the investors.
3 AI applications in banking to look out in 2025! Tyrone Systems
Artificial Intelligence has impacted one industry more than any other, it’s the Banking industry. For organizations working in the banking industry, it has become increasingly crucial to keep up with competition, and increase their standing as an innovative company.com
1. The document provides an agenda for a presentation on machine learning and AI in finance. The presentation will cover key trends in AI, an introduction to machine learning concepts, and two case studies on interest rate prediction and synthetic data generation.
2. The speaker is introduced as an advisory consultant with experience in financial analytics and teaching AI/ML topics. He is the founder and CEO of QuantUniversity, a training platform for quantitative methods.
3. The presentation will provide an intuitive introduction to machine learning and AI concepts and discuss their growing impact and applications in finance industry such as fraud detection and arbitrage opportunities.
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
This document introduces COIS, a company dedicated to driving growth in financial technology through blockchain solutions. It provides secure investment platforms using quantitative strategies that consider risk and returns. COIS's mission is to deliver exceptional financial technology products and services to help clients achieve goals while advancing the industry. The vision is to revolutionize finance by becoming a leading provider of cutting-edge solutions and creating value for clients through technological innovation.
AlgoB – Cryptocurrency price prediction system using LSTMIRJET Journal
This document describes a cryptocurrency price prediction system called AlgoB that uses an LSTM neural network model. The system was developed by four students to predict cryptocurrency prices with high accuracy. It takes historical price data as input and can predict future prices. The system uses libraries like NumPy, Pandas, TensorFlow and Matplotlib. It achieves 80% prediction accuracy, outperforming regression and tree models. The LSTM model is trained on price data and evaluates predictions against real prices. This helps traders understand market movements and identify good times to buy and sell cryptocurrencies.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
AI and the Binance Clone Script Opening Doors to the Future of Crypto Exchang...Logan Paul
Step into Tomorrow: Explore advanced cryptocurrency trading with MetaDiac's AI-Powered Binance Clone Script!
Discover AI's power for smarter decisions, automated tactics, and accurate predictions. Elevate your trading with personalized experiences, improved strategies, and round-the-clock AI assistance.
Further information: https://www.metadiac.com/binance-clone-script
Call/ Whatsapp: +91 79043 55337
Email: sales@metadiac.com
Skype: live:.cid.86bdcd0d7aa212
This document provides an overview of AnalytixInsight Inc., an artificial intelligence company that provides financial analytics using machine learning. It summarizes AnalytixInsight's platforms and products, which include natural language reports on 50,000 stocks generated from 100 billion daily computations, predictive analytics, a robo-advisor, and workflow analytics software. It also discusses AnalytixInsight's subsidiaries including Euclides Technologies, which provides field service management software, and Marketwall, a fintech company building stock trading and mobile banking apps with a partner bank in Italy.
I'M META TRADER (IMMT) Presentation Decksamuel666269
IMMT is an all-in-one AI powered crypto trading platform that aims to address the fragmented trading experience and difficulty making informed trading decisions in crypto. It offers a unified trading terminal, AI trading assistant, and access to top exchanges through a single account. The platform has over 30,000 users and $10 billion in monthly trading volume. IMMT also has its own token ($IMMT) that will be used to power the platform and provide utility such as paying trading fees.
How AI and blockchain can help you earn a passive income Blockchain Council
The document discusses how AI and blockchain technologies can help users earn passive income. It explains that AI relies on large datasets for training models to solve problems, and blockchain provides an immutable and decentralized way to store and access data. The document then gives examples of how AI is already used for passive income activities like cryptocurrency trading based on historical market data. It describes one platform called Autonio that allows users to create AI trading algorithms based on technical indicators. In summary, the document outlines how combining AI abilities with blockchain's data capabilities could power new passive income opportunities for investors.
AI-powered NFT Marketplace can suggest relevant NFTs to users based on their interests and past purchases. This help users discover new and exciting digital assets and make the process of buying and selling NFTs more enjoyable and revolutionizes NFT investment strategy with the NFTAnalytics dashboard,this provides unparalleled insights and analysis of the non-fungible token market.
https://www.mobiloitte.com/blockchain/nft-marketplace-development-company/
Derivatives product ecosystem to crypto asset market idap.ioidao_io
The IDAP ecosystem is thereby going to be the comprehensive solution for traders. Harnessing all the advantages of the traditional trading market and distilling them to suit the cryptocurrency landscape, the IDAP ecosystem will offer a boost to the crypto market in the right direction.
UNRAVELING THE POWER OF QUANTOPIAN ALGORITHMS IN FINANCIAL MARKETSRiya Sen
In today’s fast-paced financial world, staying ahead of the curve is a must for traders and investors. With the advent of technology, the use of algorithmic trading strategies has become increasingly popular. Among the many platforms that cater to algorithmic trading, Quantopian stands out as a powerful tool. In this blog post, we will delve into the world of Quantopian algorithms, exploring what they are, how they work, and their significance in financial markets.
Skylads is an AdTech company providing technological solutions for Real-Time Bidding campaign management. We adapt and further improve the latest theories in Machine Learning and Applied Mathematics to develop the most powerful and easy-to-use products suite for media buyers. Our algorithms enable traders to manage and execute their entrusted campaigns with greater efficiency, while saving time and resources.
Exploring The Benefits Of Investment News.pdfi-invest Online
Who would not choose to hold themself updated? Let's take you to the nice on-line portal that is i-invest on-line which will assist you in getting all the modern updates of the innovation information and many extra information that will be applicable and up to date for you. Innovation information will preserve you up to date about all the improvements that have been carried out globally so that you can additionally use them.
Navigating the Future: How AI is Transforming the Crypto Landscapemaker Money
The dynamic landscape of the financial world is experiencing a paradigm shift with the intersection of artificial intelligence (AI) and cryptocurrency. This article delves into how AI is transforming the crypto landscape, offering new tools and challenges for investors, and reshaping the future of investment strategies. We explore the synergy between AI and cryptocurrency, the role of AI in market analysis, the need for upskilling in this new era, and the ethical considerations that must be addressed.
This document provides an investor pitch for a trading tool called "Orbit the Tool" that claims to significantly reduce risk in trading markets using mathematical modeling. It seeks $250,000 in funding to build the tool. The tool uses chaos mathematics to isolate a "singularity" that predicts market movement, guiding traders to the optimal entry and exit points. It argues the tool could gain 100,000 subscribers in the first year at $250/month each, generating $300 million in revenue by automating trading for retail and institutional traders globally across all markets. Competition lacks their proprietary mathematical model and skills. Validation is provided through team experience and a video explaining the tool and underlying mathematics.
Artificial Intelligence Solution For Your Business GrowthBoostbiz Growth
Our dedication to your success extends a step further beyond implementation. We offer continuous support and guidance as your business navigates the complexities of the digital world. We deliver tailored solutions that drive growth, innovation, and competitive advantage. Partner with us and transform your business into a future-ready enterprise.
Mind Capital offers an opportunity to profit from crypto-fiat arbitrage using an AI-powered trading bot. The bot monitors crypto prices across exchanges in real-time to find arbitrage opportunities, buying crypto assets when prices are low on one exchange and immediately selling on another exchange when prices are higher. Participants can deposit a minimum of $100 in bitcoin to start earning daily profits from the bot's trading activity. The company aims to maximize transparency by allowing participants to view the bot's trades in real-time. Profits can be withdrawn daily once $50 has been earned. Referring other participants can also earn commissions through a multi-level referral program.
Top 10 Crypto Exchange Developers in India in 2024ITIO Innovex
Whether you are a seasoned entrepreneur or a crypto-curious newcomer, navigating the world of cryptocurrency exchange development services can feel overwhelming. Visit us at: https://itio.in/services/crypto-exchange-development
Simplify your research and concentrate on planning with our thoroughly curated, smartly-gathered information. Leverage the strength of artificial intelligence and data-centric approaches to provide you with the essential insights for well-informed choices.
This document outlines a plan to develop an automated trading system software called the Dylan Wave Theory as an add-on for the MetaStock platform. It will analyze stocks and currencies using a unique market rhythm discovery method. The founders will seek $15,000 in funding to develop the software over six months, after which MetaStock will promote and sell the product, with the goal of 500-1000 unit sales generating $60,000-$200,000 in revenue to be split 40/60. Investors will receive 100% of their funds back plus 50% annual profit and a free copy of the software valued at $499.
The document outlines an agenda for a financial sector workshop on emerging technologies presented by Murali Venkatesh. The agenda includes an overview of 7 emerging technologies: artificial intelligence, internet of things, chat/voice bots, voice assistance, big data, robotic process automation, and blockchain. For each technology, the document provides definitions and examples of benefits and use cases within the financial sector.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
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.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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).
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Climate Impact of Software Testing at Nordic Testing Days
Sapien trade pitch_deck mar 18
1. Cutting Edge AI
Investment
Technologies
Pushing the boundaries of
supercomputing FinTech.
Rise to the apex with
SapienTrade, where advanced
AI technologies meet cloud
supercomputing to deliver a
real-time investment edge.
2. SapienTrade
The 100 trillion dollar
wealth, investment,
stock and forex
markets are being
radically reshaped by
investors’ demand for
self-managed
customizable solutions,
and the use of
transformative AI
trading technologies.
SapienTrade’s vision is to
be the world’s leading
edge Supercomputing AI
Data Analytics delivering
real-time winning price
prediction solutions to
individual investors and
professional traders.
Our AI analytics solutions
are sold as online
services. Our longer-term
goal is to also launch
multiple FinTech AI Robot
funds with different
profiles. Investors can
create their own
investment strategy by
dynamically following and
allocating funds across
these robots.
SapienTrade’s Vision
4
3. SapienTrade
Market size. 400 K users
and $1.2 B per year.
Target Valuation. $700 M.
Financing. With to 30 man-
years of R&D, spanning over
half a decade, to launch our
commercial services, we seek
$350 K to $1M in exchange
for a SAFE, with a 20%
discount and $7 M valuation
cap.
Innovative FinTech pushing
the boundaries of cloud
supercomputing real-time
AI data analytics & trading
delivering the ultimate
investment edge.
We have a partnership with
QuantRisk to share R&D
efforts, technology, dev.
Team, thus acquiring 1 M
lines of highly valuable
sophisticated code.
Solutions. Advanced online
real-time deep learning AI and
soft-computing optimal trading
solutions delivering individual
and professional traders &
investors, real-time 15 mn to 1
hr price forecasts & optimal
buy-sell strategies, predicting
opportunities before they
arise. We next launch, series
of AI traded funds (Stocks,
ETFs, FX) worldwide.
SapienTrade’s Overview
3
4. SapienTrade
Distinguishing
Features
SapienTrade grew out of the technology,
expertise and team of QuantRisk
(www.quantrisk.com), a 2 decade old
cutting-edge trading analytics, risk and
optimization software company; and thus
acquired 30 man-years of intensive,
dedicated R&D, spanning over half a
decade, and 1 M lines of code.
We develop cutting-edge real-time Deep
Learning AI predictive analytics and trading
solutions, using advanced algorithms and
high-performance cloud computing.
Most competitors offer 1 single daily AI
stock prediction, missing intraday price
changes. SapienTrade is disrupting this
paradigm into an intraday forward-looking
predictive deep learning AI framework
producing accurate price forecasts and
stock selections every 15, 30, 60 minutes,
rolling forward, taking advantage of and
adapting to real-time market prices.
Who we are
We usher in a new era by bringing cloud
supercomputing AI trading analytics solutions
to individual investors and institutional traders.
A Google search reveals 4,000+ references on
Dr. Prof. Al Lari Lavassani; the founder and his
team of world renowned experts in AI, data
analytics and computational finance. 4
5. SapienTrade
Increasing demand for personalized
investment solutions
Individual investing is the new vogue.
Millennials in the US, and 85% of Chinese
investors, 200 million individual traders, are
shunning institutional investment venues.
Contrary to traditional investment with fund
managers, investors are demanding solutions
they can customize, control and manage
themselves while experiencing the instant
thrill of achieving superior returns.
How to take advantage of transformative
trading and investment technologies?
AI and FinTechs are rapidly transforming
the investment paradigm challenging
anyone to keep up. Real-time intraday
predictive AI models, instead of one daily
prediction made before markets open, are
of high value and not yet commercially
available. Such real-time AI tools require
specialized architecture, software and costly
supercomputing infrastructure. Generic
multi-purpose AI tools, e.g., Google or AWS
are too coarse to be effective in real-time
trading analytics. This is similar to using
generic hardware pliers as substitutes for
high-precision microsurgical instruments.
5
1 2
The Biggest Problems Investors Face
6. SapienTrade
Increasing demand for personalized
investment solutions
Investors, traders and automated trading programs face the daunting task of consistently
predicting optimal investment opportunities from 8,000+ stocks and ETFs’ data, market
noise and chatter. Technical analysis, Algo trading and overnight AI stock selection tools
suffer from three major shortcomings, preventing them from offering an effective edge in
predicting and achieving winning investment strategies.
First, they are backward looking and offer no better predictions than a random walk.
Second, they lack the sufficient precision to be effective, especially in intraday trading.
Third, they provide no specific edge as most other players run similar computations. A
new paradigm is needed to overcome these limitations, offer superior trading insight,
and achieve greater returns.
6
3
The Biggest Problems Investors Face
7. SapienTrade
○ AI Forecast, is a unique intraday Deep Learning
AI stock price prediction cloud service to be
launched in Q2 of 2019.
• It computes and electronically publishes in
real-time 15, 30 and 60-minute price forecasts,
rolling forward until the end of each trading
day and adapting in real-time to the latest
market prices.
• The advanced AI models handle stocks,
Indices, ETFs and FX in any world market.
Clients can use these price forecasts as the key
inputs to their trading model or system.
• We start with the top 200 stocks in the S&P
500, 100 ETFs, 19 major indices and all the
major currencies. Additional stocks will be
gradually added, as funding is secured to
cover the cost of scaling up, e.g., larger cloud
infrastructure and engineering teams.
○ AI Stock Selection will be launched in Q3 of
2019.
• This is a Deep Learning AI stock selection
solution that classifies stocks in a few
actionable classes, e.g., strong buy, buy,
sell or strong sell.
• The medium-term stock selection is an
end-of-day process on 8,000+ stocks and
ETFs using 50+ technical and
fundamental indicators.
• The intraday stock selection process is
unique as it is executed every 15, 30, 60
minutes, rolling forward until market
closes, taking advantage of and adapting
in real-time to the latest market prices.
The client can use these stock or ETF
selections as key inputs in any trading and
decision making process.
7
SapienTrade Solutions
AI Forecast™ AI Stock Selection™
The World's First Real-time Supercomputer AI Predictive Platform
8. SapienTrade 8
Real-time Price Forecaster
○ This real-time solution uses as input 5
min tick-data to compute and publish,
every 30 min, a new set of forecasts,
at 30 min increments, going forward
until the close of the trading day. The
solution can go down to 15 and 10
min timescale.
○ Our deep learning fuzzy neural
network technology can handle any
stock or instrument in any world
market. We are currently forecasting
S&P 500’s top 200 stocks, 100 ETFs,
19 major US indices and 16
currencies. Additional markets and
instruments will be added gradually.
AI Forecast™
SapienTrade Product
9. SapienTrade 9
SapienTrade Business Model
The World's First Real-time Supercomputer AI Investment Platform.
$250
Per Month
Clients buy
subscriptions at an
average price of $250
per month.
400 K
Potential Users
Out of 400 million
investors worldwide,
SapienTrade expects
to capture 0.1% or
400 K users.
$ 1.2 Billion
Yearly Revenue
SapienTrade's target
market share is $1.2
Billion per year.
5 Year Target: Yearly revenue $216 M | Operating income $140 M | Valuation: $700 M.
10. SapienTrade 10
Next generation deep learning AI,
fuzzy logic, genetic computing
technologies. 30% more accurate
forecasts. Real-time forward looking
predictive framework. Dynamic
trading strategies with much greater
likelihood of success.
SapienTrade brings
supercomputing AI to individual
investors without overheads and
costs. This proprietary
architecture uses vectorization,
multithreading and parallel
processing.
These enable
the execution of
our AI predictive
investment
models in real-
time, to capture
SapienTrade's
universal
technology is,
asset class, market
and location
agnostic.
intraday to long-term market
opportunities.
Universal
Technology
Forward
Predictive
Real-time
Cloud
Supercomputing
It offers vast configuration flexibility for stocks,
ETFs, forex and bonds in any world market, US,
China, EU, Japan, India, etc.
Our Transformative Technological Edge
Deep learning AI technologies disrupting, transforming and revolutionizing investing.
11. SapienTrade 11
Data Mining
Real-time and historic
price & volume data, min
tick to daily. 5000+
instruments.
AI Forecasting Models
Large number of AI predictive models with
combinations of 50+ different indicators are
trained around the clock.
Evolutionary computing is used to identify
the best AI predictive model as per market
patterns.
Monte Carlo simulation engine, for high low
prediction, is calibrated overnight.
Supercomputing Execution
The optimal deep learning AI, Monte
Carlo simulation and engines are
executed in real-time around the
clock by our elastic cloud
supercomputer.
AI Stock Selection
Our forecasts and high and low predictions are
used as input to determine the best trading
strategies. These are dynamically revised every
15, 30 minutes, rolling forward, around the clock.
Output
Forecasts and trading
strategies are displayed in
our web-platform.
How it Works
12. SapienTrade 12
China
200 Million
Worldwide
150 Million
FX
4 Million
USA
54 Million
USA: 25% of all US adults with internet
access are retail online traders, and an
additional 6% are professionals, for a
total U.S. individual trading population
of 54 million.
China: 85% of Chinese investors, about
200 million, are individual retail traders,
bypassing institutional investment
venues.
Worldwide: There are similar numbers
of investors worldwide; EU, Japan, Asia
and Africa.
Forex: 85% of Chinese investors, about
200 million, are individual retail traders,
bypassing institutional investment
venues.
Individual investing is becoming increasingly prevalent. We estimate the pool of
individual investors who can benefit from our solutions to number 400 Million worldwide.
We expect to capture at least 1% of this market, or 4 Million users.
Market Size and Opportunity
13. SapienTrade
Real-time AI
(Artificial Intelligence)
Overnight AI
(Artificial Intelligence)
Backward Looking
Modelling
Forward Looking
Predictive Paradigm
13
Our competitors are overnight AI
solutions producing single daily stock
predictions. They have low accuracy, and
miss all intraday market opportunities.
They are priced in the $200 - $300
monthly range. They have been
established anywhere from 2 to 10 years.
SapienTrade is the only real-time
AI predictive investment
platform in existence,
overcoming all the competitions’
shortcomings.
We combine advanced deep
learning AI, genetic computing
and supercomputing.
Competition
*Alpaca is actually a currency
forecasting system, and has recently
added a few Futures contracts to its
forecasts.
14. SapienTrade 14
Growth Strategy and Partnership Channels
Short-Term Revenue: Direct sales and partnership distribution channels, delivering
trading analytics solutions
Medium-Term Strategies: Online investment funds and Trading
Platform
Establish and expand our brand, in partnership and JV, with entities enabling
trading, advisory and brokerage licenses. Series of investor friendly $100 Million
FinTech AI traded funds (ETFs, stocks, bonds, currencies), allowing investors to
make their own desired investment strategies and portfolio of robots to follow.
Joint Venture Sales
Distribution
Markets: US, China, EU,
Japan, India, UK, South
Korea, East Asia, Latin
America, Africa.
Commercial Sales
Wholesale professional
traders, hedge funds,
investment funds, wealth
managers and brokers.
Online E-retail
Sales
Individual and
professional investors
and traders.
15. SapienTrade 15
Strategic Investment Alliances and Partnerships
Looking for strategic partners possessing wide electronic footprint, and
enabling the necessary trading advisory and brokerage licenses and facilities
Sales and Distribution Channels
Seeking partnership with e-distribution channels to increase market share &
global presence.
Regions: US, China, Europe, Japan, India, South Korea, East Asia, Latin America, Africa.
Potential partners should have a wide coverage and electronic footprint within their market
space, possibly large e-commerce, social networks, banks and e-brokers.
Targeted Channel Partners
Strategies for Increasing Market Share Globally
16. SapienTrade 16
Investing and Expectations
Forecast
We are projecting sales of $1.6 M in year 1 and $16 M in year 2, with a profit margin of 38%.
This assumes acquiring 8,000 new customers per year, paying on the average of $250 a month.
Customer acquisition costs and payroll constitutes the largest portions of our expenses. To start,
we will focus on creating and expanding digital marketing and sales channels for our two sales
models, B2C (selling to individual investors and traders as monthly online subscriptions), and
B2B (selling to banks and trading firms). We will also pursue partnerships in early year two to
accelerate sales.
Financing
Our technology is mature and ready for launch.
To fund our planned growth, we seek:
Funding: $350,000 to $1,000,000 via:
SAFE, 20% discount, $7 M valuation cap.
Valuation
By year 5, we forecast
Revenue: $216 M.
Operating income: $140 M.
Target valuation: $700 M.
17. SapienTrade 17
Product Enhancement
Cloud infrastructure, addition and customization of new markets and
instruments, data, products, models configurations, testing, fine-tuning.
Support Teams
Front end client support. Back
end data, IT and cloud
engineering and business
analysts support.
Sales and
Marketing
Marketing, sales and
partnership teams and
campaigns.
Use of Funds
18. ThankYou
Asia Pacific
+1 786 868 0210
dean@sapientrade.com
www.sapientrade.com
SapienTrade is a bootstrap start-up, running a lean and highly focused operation.
To further expand our product offerings we do welcome queries from investors
and strategic partners.
www.linkedin.com/in/justincdean
Justin Dean
VP of Operations
North America
+1 786 514 6600
lavassani@sapientrade.com
www.sapientrade.com
Dr Al Lari Lavassani
CEO and Founder
https://www.linkedin.com/in/al-
lari-lavassani-83b799169