This document discusses new technologies including human enhancement, artificial intelligence, and whether we live in a simulation. It explores science fiction visions of technology and examines current technological advancements as well as how technology may contribute to various problems.
The document summarizes a conference on emerging technologies related to human enhancement called "Transhumans." It discusses technologies such as human genetic engineering, neural implants, brain-computer interfaces, and mind uploading that could be used to greatly enhance human capacities. It notes that some experts believe these technologies may lead to a "singularity" where machine intelligence surpasses human intelligence by billions of times. The document also discusses perspectives on both the promise and risks of human enhancement technologies and their potential impact on issues like jobs, governments, and immortality.
The document discusses different funding avenues for startups including grants, equity, debt, and revenue. It covers venture capital, angel investing, equity crowdfunding, SBA loans, bank loans, and factoring. It notes that VC/angel funding provides fast access to capital and strategic help but requires giving up control and pressure to grow. Debt options retain control but are hard to qualify for. The document also discusses term sheets, deciding how much to raise and at what valuation, additional terms, board composition, information rights, and pro rata rights for seed stage investors.
The document discusses the benefits of exercise for both physical and mental health. It notes that regular exercise can reduce the risk of diseases like heart disease and diabetes, improve mood, and reduce feelings of stress and anxiety. Staying active is an important part of an overall healthy lifestyle.
The document outlines Tomás Caeiro's workshop on crafting an effective pitch deck. The workshop agenda includes defining what a pitch and pitch deck are, pitch secrets and goals, and pitch format and structure. The presentation covers communicating something to someone to achieve a goal, different types of pitches, and the importance of practice, planning and anticipating questions. It provides guidance on pitch elements like problem, solution, competitors, marketing, business model and metrics. Bonus tips are given on dos and don'ts of pitching, including knowing your audience, competitor, and not giving false information.
Startup Financials is a document from 2023 created by Daniel Vila Boa in Porto, Portugal. It likely contains financial projections, funding requirements, and other key metrics for a new business venture. The short document focuses on the essential details needed to understand the financial situation of the startup.
The document discusses business models and how to choose one. It defines different types of business models like B2C, B2B, B2B2C and provides examples like Refinery 29 and SAAS. When choosing a model, factors to consider include predictable revenue, scalability, network effects and customer acquisition. The document recommends learning about customer needs through interviews and experiments to help identify the right model and business strategy.
Sales techniques focus on controlling the customer through rapport building to influence their acceptance while keeping explanations simple so confused customers will buy. Successful sales require putting knowledge into practice by controlling conversations, influencing customers and gaining their acceptance.
The document provides tips for zero-budget marketing for startups. It recommends creating content on various social media platforms like LinkedIn, Instagram, Twitter, and TikTok as the easiest marketing hack, with the platform choice depending on the business's product and audience. It also quotes Tim Huelskamp, who advises optimizing the product first so it delivers exceptional value to users, which will lead to natural growth through word-of-mouth. The document also includes contact information for Krissie McMenamin.
The document summarizes a conference on emerging technologies related to human enhancement called "Transhumans." It discusses technologies such as human genetic engineering, neural implants, brain-computer interfaces, and mind uploading that could be used to greatly enhance human capacities. It notes that some experts believe these technologies may lead to a "singularity" where machine intelligence surpasses human intelligence by billions of times. The document also discusses perspectives on both the promise and risks of human enhancement technologies and their potential impact on issues like jobs, governments, and immortality.
The document discusses different funding avenues for startups including grants, equity, debt, and revenue. It covers venture capital, angel investing, equity crowdfunding, SBA loans, bank loans, and factoring. It notes that VC/angel funding provides fast access to capital and strategic help but requires giving up control and pressure to grow. Debt options retain control but are hard to qualify for. The document also discusses term sheets, deciding how much to raise and at what valuation, additional terms, board composition, information rights, and pro rata rights for seed stage investors.
The document discusses the benefits of exercise for both physical and mental health. It notes that regular exercise can reduce the risk of diseases like heart disease and diabetes, improve mood, and reduce feelings of stress and anxiety. Staying active is an important part of an overall healthy lifestyle.
The document outlines Tomás Caeiro's workshop on crafting an effective pitch deck. The workshop agenda includes defining what a pitch and pitch deck are, pitch secrets and goals, and pitch format and structure. The presentation covers communicating something to someone to achieve a goal, different types of pitches, and the importance of practice, planning and anticipating questions. It provides guidance on pitch elements like problem, solution, competitors, marketing, business model and metrics. Bonus tips are given on dos and don'ts of pitching, including knowing your audience, competitor, and not giving false information.
Startup Financials is a document from 2023 created by Daniel Vila Boa in Porto, Portugal. It likely contains financial projections, funding requirements, and other key metrics for a new business venture. The short document focuses on the essential details needed to understand the financial situation of the startup.
The document discusses business models and how to choose one. It defines different types of business models like B2C, B2B, B2B2C and provides examples like Refinery 29 and SAAS. When choosing a model, factors to consider include predictable revenue, scalability, network effects and customer acquisition. The document recommends learning about customer needs through interviews and experiments to help identify the right model and business strategy.
Sales techniques focus on controlling the customer through rapport building to influence their acceptance while keeping explanations simple so confused customers will buy. Successful sales require putting knowledge into practice by controlling conversations, influencing customers and gaining their acceptance.
The document provides tips for zero-budget marketing for startups. It recommends creating content on various social media platforms like LinkedIn, Instagram, Twitter, and TikTok as the easiest marketing hack, with the platform choice depending on the business's product and audience. It also quotes Tim Huelskamp, who advises optimizing the product first so it delivers exceptional value to users, which will lead to natural growth through word-of-mouth. The document also includes contact information for Krissie McMenamin.
This document provides dos and don'ts for startups when approaching big corporations. It notes that corporations have resources startups need but also myths on both sides. The document advises startups to show working prototypes, know that "maybe later" means no, have founders do initial sales, and prepare for more admin work. It warns against wasting time on "innovation theatre" and being a liability. For corporations, it says to have a real problem startups can solve, empower engagement, and have a venture strategy. Overall, it encourages entrepreneurs to pursue startups but with a safety net of skills, experience, and savings first.
The document provides tips for scaling a startup using SEO and AI with no money down. It discusses optimizing the domain name, folder structure, and subdomains. It also covers keyword research, on-page SEO like using topic clusters, generating content, getting backlinks, and launching the website by registering it on various search engines and platforms. Useful tools and resources for SEO are also listed.
The document provides guidance on how to optimize landing pages to convert more visitors into customers, including structuring pages with a clear call-to-action at the top, using compelling headers and subheaders in the hero section to convey the main benefits of the product, and incorporating social proof and value propositions to encourage conversion. It emphasizes focusing the message and designing the page to enhance understanding of how the product fulfills customer needs and addresses any objections they may have.
This document discusses the science of art and emotion. It introduces Emotional DataTM which is collected data about consumers' unconscious emotional responses that can be observed and evaluated. It then describes different types of consumer data and how Emotional DataTM differs from qualitative and quantitative data. Finally, it outlines some simple neuroscience testing methods that can be used to collect Emotional DataTM including using iPhone and Apple Watch features to predict and infer mood and collect behavioral and preferential data.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document discusses tools for winning first customers, focusing on the importance of a growth mindset and growth hacking. It emphasizes embracing failure as an opportunity to learn and gain experience. Growth hacking involves testing innovative marketing techniques to rapidly grow a customer base with minimal resources. The key is understanding customers - who they are, where they spend time, what interests them - and then finding creative ways to reach them through content, blogs, emails, groups, influencers and more. There are no shortcuts; success requires testing ideas, learning from results, and continual improvement through an openness to feedback and new challenges.
1. Finding product-market fit requires consistently generating more revenue per customer than it costs to acquire and support that customer.
2. Startups that achieve product-market fit see their products "sell themselves" through word-of-mouth as users find intuitive value and are willing to justify friction.
3. True product-market fit is evident through high retention rates that show users would be disappointed without the product.
The document discusses various revenue models for businesses. It describes traditional models like product/service sales, subscriptions, freemium, and advertising. It also covers innovative models like razor and blades, shared economy, pay-what-you-want, dynamic pricing, tokenization, API-as-a-product, and data monetization. The document provides examples of companies using different revenue streams and advises businesses to understand their customers, market, offerings, costs, experiment, and consider scalability when choosing a revenue model.
1. Finding product-market fit requires building a product that solves a real problem for a specific market. Startups should focus on finding a small market that has a strong need that their minimum viable product can address, rather than trying to serve a large market initially.
2. Early signals that product-market fit may be achieved include visible excitement from potential customers when seeing demonstrations, and willingness from some customers to pay for the product before it's complete. Gathering feedback from potential customers is key to iteratively understanding their needs and refining the product.
3. Once product-market fit is achieved, the product will experience rapid growth through word-of-mouth, with users actively inviting others and usage growing quickly.
The document discusses building a successful team with diversity in gender, culture, education, interests, and skills. It recommends teams of five people and advises treating teamwork like dating by staying curious, asking questions, and respecting cultural differences. The document also encourages participants to focus on the team over any single idea, take quick action during the event, have fun, and make the most of talks and mentors.
This document contains information about Anna De Stefano and her work helping startups. It discusses her background creating a successful legal publishing company and mentoring over 30 startups. It provides tips for startups including focusing on defining problems precisely, listening, adapting, and ensuring their solution is better than competitors. It also outlines the main business models of B2C, B2B, and their variations.
The document discusses the principles and process of design thinking. It explains that design thinking involves discovering customer needs through research, defining the core problem to address, developing solutions through prototyping, and delivering the best solution. The design thinking process is illustrated as a "double diamond" with phases of discovery, definition, development, and delivery. Empathy with customers is emphasized to understand their context, needs, and experiences rather than focusing on preconceived solutions.
This document is a profile for Helen Kokk, an award-winning product designer and Director of CX Product at Rush Street Interactive. As a designer, she advocates for failing fast and cheap through LoFi prototyping before progressing to HiFi prototypes. She encourages sharing, collaboration, and leveraging existing design systems and templates to work smarter, not harder, when bringing products to life.
This document discusses paper prototyping as a method for validating solutions early in the design process. It notes that paper prototyping is quick, easy, and inexpensive. It then provides guidance on how to get started with paper prototyping, including techniques like crazy 8s where designers rapidly sketch out 8 ideas, and storyboarding to develop a narrative. The document emphasizes testing prototypes with users to gather feedback and ensure the design is solving users' problems in an easy to use way. It advises iterating based on user feedback to refine the design.
The document discusses product features and how to focus on the core problem when designing products. It notes that when Facebook launched in 2004, it had very few features - accounts restricted to Harvard emails, friends and invitations, simple profiles, and few privacy restrictions. The document emphasizes framing the right problem, focusing on the core problem, determining the decision units of customers, and quantifying the value of features in relation to solving the problem. It suggests starting with fewer, interrelated features and adding more later, and using tools like the House of Quality to align customer needs with technical specifications and priority of features.
This document discusses designing products with all users in mind, including developers. It notes that stereotypes are usually inaccurate and outlines some common developer stereotypes. It emphasizes that developers are also users of products and deserve attention and respect. The document provides tips for collaborating with developers, such as getting to know them as people, understanding each other's processes, discussing constraints, and taking an agile approach with celebration of successes.
The document discusses the principles and process of design thinking. It explains that design thinking involves discovering customer needs through research, defining the core problem to address, developing solutions through prototyping, and delivering the best solution. The design thinking process is illustrated as a "double diamond" with phases of discovery, definition, development, and delivery. Empathy with customers is emphasized to understand their context, needs, and experiences rather than focusing on preconceived solutions.
This document discusses focusing on clients and customer validation for startups. It recommends falling in love with the problem, not the solution, and listening and adapting to clients. It outlines categorizing customers into B2B, B2C, and variations, and how to nail down target customers through market research and identifying marketing personas. The document provides tips on creating a meaningful value proposition and building trust and loyalty with customers through a "lovebrand." It emphasizes the importance of customer validation.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This document provides dos and don'ts for startups when approaching big corporations. It notes that corporations have resources startups need but also myths on both sides. The document advises startups to show working prototypes, know that "maybe later" means no, have founders do initial sales, and prepare for more admin work. It warns against wasting time on "innovation theatre" and being a liability. For corporations, it says to have a real problem startups can solve, empower engagement, and have a venture strategy. Overall, it encourages entrepreneurs to pursue startups but with a safety net of skills, experience, and savings first.
The document provides tips for scaling a startup using SEO and AI with no money down. It discusses optimizing the domain name, folder structure, and subdomains. It also covers keyword research, on-page SEO like using topic clusters, generating content, getting backlinks, and launching the website by registering it on various search engines and platforms. Useful tools and resources for SEO are also listed.
The document provides guidance on how to optimize landing pages to convert more visitors into customers, including structuring pages with a clear call-to-action at the top, using compelling headers and subheaders in the hero section to convey the main benefits of the product, and incorporating social proof and value propositions to encourage conversion. It emphasizes focusing the message and designing the page to enhance understanding of how the product fulfills customer needs and addresses any objections they may have.
This document discusses the science of art and emotion. It introduces Emotional DataTM which is collected data about consumers' unconscious emotional responses that can be observed and evaluated. It then describes different types of consumer data and how Emotional DataTM differs from qualitative and quantitative data. Finally, it outlines some simple neuroscience testing methods that can be used to collect Emotional DataTM including using iPhone and Apple Watch features to predict and infer mood and collect behavioral and preferential data.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document discusses tools for winning first customers, focusing on the importance of a growth mindset and growth hacking. It emphasizes embracing failure as an opportunity to learn and gain experience. Growth hacking involves testing innovative marketing techniques to rapidly grow a customer base with minimal resources. The key is understanding customers - who they are, where they spend time, what interests them - and then finding creative ways to reach them through content, blogs, emails, groups, influencers and more. There are no shortcuts; success requires testing ideas, learning from results, and continual improvement through an openness to feedback and new challenges.
1. Finding product-market fit requires consistently generating more revenue per customer than it costs to acquire and support that customer.
2. Startups that achieve product-market fit see their products "sell themselves" through word-of-mouth as users find intuitive value and are willing to justify friction.
3. True product-market fit is evident through high retention rates that show users would be disappointed without the product.
The document discusses various revenue models for businesses. It describes traditional models like product/service sales, subscriptions, freemium, and advertising. It also covers innovative models like razor and blades, shared economy, pay-what-you-want, dynamic pricing, tokenization, API-as-a-product, and data monetization. The document provides examples of companies using different revenue streams and advises businesses to understand their customers, market, offerings, costs, experiment, and consider scalability when choosing a revenue model.
1. Finding product-market fit requires building a product that solves a real problem for a specific market. Startups should focus on finding a small market that has a strong need that their minimum viable product can address, rather than trying to serve a large market initially.
2. Early signals that product-market fit may be achieved include visible excitement from potential customers when seeing demonstrations, and willingness from some customers to pay for the product before it's complete. Gathering feedback from potential customers is key to iteratively understanding their needs and refining the product.
3. Once product-market fit is achieved, the product will experience rapid growth through word-of-mouth, with users actively inviting others and usage growing quickly.
The document discusses building a successful team with diversity in gender, culture, education, interests, and skills. It recommends teams of five people and advises treating teamwork like dating by staying curious, asking questions, and respecting cultural differences. The document also encourages participants to focus on the team over any single idea, take quick action during the event, have fun, and make the most of talks and mentors.
This document contains information about Anna De Stefano and her work helping startups. It discusses her background creating a successful legal publishing company and mentoring over 30 startups. It provides tips for startups including focusing on defining problems precisely, listening, adapting, and ensuring their solution is better than competitors. It also outlines the main business models of B2C, B2B, and their variations.
The document discusses the principles and process of design thinking. It explains that design thinking involves discovering customer needs through research, defining the core problem to address, developing solutions through prototyping, and delivering the best solution. The design thinking process is illustrated as a "double diamond" with phases of discovery, definition, development, and delivery. Empathy with customers is emphasized to understand their context, needs, and experiences rather than focusing on preconceived solutions.
This document is a profile for Helen Kokk, an award-winning product designer and Director of CX Product at Rush Street Interactive. As a designer, she advocates for failing fast and cheap through LoFi prototyping before progressing to HiFi prototypes. She encourages sharing, collaboration, and leveraging existing design systems and templates to work smarter, not harder, when bringing products to life.
This document discusses paper prototyping as a method for validating solutions early in the design process. It notes that paper prototyping is quick, easy, and inexpensive. It then provides guidance on how to get started with paper prototyping, including techniques like crazy 8s where designers rapidly sketch out 8 ideas, and storyboarding to develop a narrative. The document emphasizes testing prototypes with users to gather feedback and ensure the design is solving users' problems in an easy to use way. It advises iterating based on user feedback to refine the design.
The document discusses product features and how to focus on the core problem when designing products. It notes that when Facebook launched in 2004, it had very few features - accounts restricted to Harvard emails, friends and invitations, simple profiles, and few privacy restrictions. The document emphasizes framing the right problem, focusing on the core problem, determining the decision units of customers, and quantifying the value of features in relation to solving the problem. It suggests starting with fewer, interrelated features and adding more later, and using tools like the House of Quality to align customer needs with technical specifications and priority of features.
This document discusses designing products with all users in mind, including developers. It notes that stereotypes are usually inaccurate and outlines some common developer stereotypes. It emphasizes that developers are also users of products and deserve attention and respect. The document provides tips for collaborating with developers, such as getting to know them as people, understanding each other's processes, discussing constraints, and taking an agile approach with celebration of successes.
The document discusses the principles and process of design thinking. It explains that design thinking involves discovering customer needs through research, defining the core problem to address, developing solutions through prototyping, and delivering the best solution. The design thinking process is illustrated as a "double diamond" with phases of discovery, definition, development, and delivery. Empathy with customers is emphasized to understand their context, needs, and experiences rather than focusing on preconceived solutions.
This document discusses focusing on clients and customer validation for startups. It recommends falling in love with the problem, not the solution, and listening and adapting to clients. It outlines categorizing customers into B2B, B2C, and variations, and how to nail down target customers through market research and identifying marketing personas. The document provides tips on creating a meaningful value proposition and building trust and loyalty with customers through a "lovebrand." It emphasizes the importance of customer validation.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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.
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.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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
Hello world! Today we are going to talk about exciting new technologies. And since we are here, why not doing so through memes?
How many have a cool idea for a startup? Raise your hands. How many are apps? How many are apps that allow to meet people based on common interests? Ho many are apps that give you a service without the need to meet people? It’s totally cool folks, but you must admit it’s curious how most of us are interested in gathering together and avoid human contact at the same time, right? Well, this keynote aims at inspiring you to think outside of the box and put a little more technology in the equation.
Before we start, just a little presentation about myself. I’m one of those strange devices, fuelled by coffee, that turn problems into solutions, and have sarcasm as a side effect. So I warn you: you will see a lot of irony here, please don’t get offended by anything because it’s not my intention. I’m a silly person, so silly that sometimes even my dog cannot stand me.
Moreover, I cannot define myself as a tech enthusiast. On the contrary. *reads* Yeah, that’s pretty much my attitude.
So what is technology. MAGIC. Well it is, in a certain way! In fact, a famous quote from Arthur C. Clarke reads: *reads* Imagine a magic wand that can guide you anywhere you want, sheds light on your path, and can even open a portal to a place far away where you can see people and speak with them as if they were there in front of you. Yeah, I’m talking about a mobile phone with GPS and camera flash on a selfie stick.
But this is what technology is about: it’s about imagining things that are not possible right now and making them possible. *reads* And who imagines the impossible better than science fiction novelists?
Science fiction is a rich source of ideas for what can be achieved in the near future. Tablets, video conferences, the internet itself, were already imagined in sci-fi novels and movies. Sci-fi imagines the future based on our current knowledge and view of the world. It shapes the future and is shaped by the present. I can’t but see a huge warning sign when I see how sci-fi is describing the future nowadays.
But we are way too addicted, to the point of no return. *reads* It’s inevitable: any kind of technology will enhance our abilities, making us weaker in return. We discovered fire that makes us warm, now we freeze without fire. We learned to write so we can take notes, now we lose memory in return.
Technology is evolving fast, so fast that it’s difficult to catch up. I think I’m not going to say anything new to you today, but at least I hope you’ll find it entertaining.
Virtual Reality is still at an early stage, but it’s already starting to make its way in gaming. But games are not the only field of application for VR, the possibilities are endless. Virtual worlds in general, like Second Life a few years ago or Minecraft and VRChat today, can become more immersive social networks. The only limitation I see here is that you’re completely isolated from the real world. That’s why Augmented Reality seems like a promising field: we just need to find new, original uses, aside from showing shiny pop-up ads.
Blockchain is another common buzzword nowadays. *reads* A few years ago I would have said that blockchain is just a very slow database, useful only to store transactions such as money transfers and contracts and make them permanent forever. And it is still true, it’s still a distributed transaction-based database, but advancements in this technology are making it performant enough to be a valid alternative to traditional databases or for other innovative uses.
And then there’s the Internet Of Things. *reads* Every device, no matter how small, can now have sensors and a wireless internet connection. We are being surrounded by little smart robots all over the place that know everything about us, enhancing our house, our car, our city, … and what about...
...Human Enhancement.
When engineering is combined with chemistry and biology we have nanotechnology. Microscopic robots could start “living” inside our body and keep our blood vessels clean, repair damages, enhance our brain activity. And what about the exterior?
We are very close to some of the enhancements that we see in cyberpunk fiction. A lot of stuff is actually already present such as augmented reality glasses, although they are usually not engraved in our body nor have tactile sensors.
Well this was true last year maybe, but now look at this: *reads* So it’s not the usual bionic arm, it gives you tactile feedback. It feels almost like a real hand. And you can use it outdoors! Well you still need to carry a laptop in your backpack to collect sensors data, but it’s a step forward nonetheless.
Do you know this guy? This is Neil Harbisson, the first official cyborg. He’s an artist who enhanced his color perception outside of the visible spectrum with an antenna implanted in his skull. His brain cells adapted to this new sixth sense, so if he removed the antenna he would lose a sense just as if he lost his sense of smell. So, as you can see, our addiction to technology is not just about losing a commodity.
Another cool device is neuro-headsets: they have non-invasive sensors that capture your intention to move and translates it in machine language, so this can be used by paralyzed people to control their wheelchair or to interact with a computer. It would be awesome to use it for games too, but unfortunately at present it’s still too buggy and has too much latency.
As you may know, the majority of technologies that I described earlier includes a good amount of Artificial Intelligence. So what’s this AI about, and why is it so important?
Well, AI is a very misused term. *reads* It’s a broad term that incompasses many other, such as Machine Learning or Natural Language Processing. It’s about creating algorithms that mimic, and sometimes overtake, some intellectual features of us humans.
One of these features is tackled by Machine Learning: ML algorithms are able to classify data into predefined categories, or even come up with new categories and fill them with classified data. This is achieved usually, but not only, through neural networks: a software structure similar to how human brain cells work.
Neural networks have different uses: they can identify things and people in pictures... *reads* They have always been quite good at recognizing text… *reads* But the huge leap forward happened in 2012 with *reads* Deep Learning. With Deep Learning machines have become better than us in some of these activities (especially character recognition), but they are now even starting to generate content instead of just passively learning it.
I’m quite sure you know this one: this is a prototype made by NVidia in which you can draw simple color shapes on the left and these shapes are rendered as realistic landscapes on the right.
Deepfakes put someone else’s face on top of a person in video. We already saw this in movies (I’m thinking about one from Fast And Furious, for example, or Star Wars). If you are scared of being a target of deepfakes don’t worry too much: you need a lot of footage to produce a quality deepfake, so if you’re not doing too many snapchats or tiktoks you should be fine. Celebrities and especially politicians are a common target, a dangerous target. Makes me think that in the near future we won’t be able to easily tell the truth from what we see.
On the other hand, Artificial Intelligence is also able to spot fakes. *reads* So it’s an evolutionary arms race between fake generation and fake detection, and I expected to witness some sort of equilibrium between the two parts sooner or later. But all this simulating stuff and virtualizing stuff makes you think...
...Is reality some sort of simulation itself? Well, short answer is: *reads* no. Reality is way too complex, unnecessarily complex, to be a simulation. But on the other hand, in theory everything could be simulated. Everything could be serialized into a stream of bytes. So what’s the difference between reality and a simulation? If I simulate a living creature on my computer, when does it start being real? When it proves to be sentient? When it is able to feel pain?
Take a look at this picture. I hope I’m not spoiling this movie to anyone. In this scene Wall-E loses his memory and acts like a soulless robot. I don’t know you but I cried like a little girl. Wall-E is not “dead”, he loses his “wallyness”. Apart from the fact that this is just a movie, but if Wall-E was real, would his personality be just a simulation? This causes ethical issues on me. Speaking of which...
Let’s talk about technology as part of the problem. Yeah, we use technology as a mean to solve problems, but many times it becomes the problem itself.
It can happen because of many reasons. *reads* Technology can be faulty. It should never happen, but it happens. *reads* Technology has unexpected side-effects when used, or is completely misused. *reads* And finally, apparently there are people in this world that create technology to cause problems, to harm people.
Apart from bugs and failures, side effects can include privacy violations. I don’t care too much about my privacy, but I can understand if someone is concerned by it.
People are also very concerned about losing their jobs. *reads* So apparently accountants will be replaced soon, yay… Anyway, the good news is that for most of us it is not the case, nor it will be for a long time, because humans are flawed indeed, but algorithms are too, and in a complementary way. So the role of a machine is more likely to be just that of an advisor to humans, which should always have the last word on every decision. That’s because humans have qualities that machines don’t have, such as empathy. Yes, you want services without human interactions, but when things go wrong who do you want to speak to?...
...A cold machine or a gentle human that understands your feelings and… *reads* Oh crap. Ok yes, machines are starting to give sign of empathy, at least a simulated one.
But not without flaws.
You know what? The real advantage that humans have over machines is not empathy, it’s that we can bend rules, break them even, disobey following our hearts, in order to add that “human touch” that cold-hearted machines don’t have. Ok, but there are other concerns that arise with technology, such as, I don’t know...
...Death? Sometimes I hear questions such as “Will technology destroy us all?”. Why, silly… Of course it will! It happened many times in the past and it will in the future!
Technology is just a tool, and as a tool it can be used in different ways. Nuclear power can be used to kill a city, accidentally or not, and if the old saying “the pen is mightier than the sword” is still true, there’s people who can deal damage even with a pencil.
There’s no good way for us to prevent technology to kill people. A good start would probably be to everyone agree on not building killing machines in the first place. But then, will the bad guys respect this agreement? Will the “good” guys be able to do the same? Is there a limit to our inclination to self-destruction? (By the way, the second panel is taken out of context: these robots are actually vegetarian, they feed on grass. A demonstration of the fact that we don’t need AI to create fake news. But nonetheless...)
This is my real concern about technology. Apparently we are so dumb to fund people who want to build terminators and killing drones and whatnot. Well sure… *reads* The more smart and human machines become, the more dumb and inhuman we are becoming. *reads*
So maybe before being able to build a killing machine we should try to get rid of our killing instincts. *reads*
And our lack of humanity is not only towards machines. Do you know this little girl? A couple of months ago she posted a poll on Instagram asking if she should kill herself. 69% of responders voted in favor. And she did. I don’t feel like blaming Instagram for allowing such things to happen, and I can’t even blame too much the voters, since I’m quite sure everyone thought it was a prank or something, but I think this episode should raise awareness on how a mobile screen can make us numb to real suffering.
And of course, our greed for money, power, speed, gadgets, is very likely to kill us and other lifeforms in the next ten to thirty years. Sun rays will become fatal, farm lands will become deserts, food price will skyrocket, wars will be waged. The clock is ticking and we must find a solution quick. We need to change.
I think that change should first of all come from within. We should find our humanity again, we should find compassion, and a reason to live. And, once we have found it, we should help others find their own reasons to live. That’s why any idea you come up with during this program, if it’s something you care about, and if it helps people to care about something, then it will be a battle worth fighting for, because it will become a step forwards towards human salvation. And I thank you for this.