Artificial intelligence for humans… #AIDC2018 keynote

Most software development processes are focused on tracking and delivery. Unfortunately, writing code is no longer the bottleneck. The real bottleneck is the team ability to learn about the domain complexity and do the right thing.

1) EventStorming is a technique that uses modeling with sticky notes, markers and paper to surface domain events and capture hotspots in a system. It enables cross-perspective conversations and can lead to unexpected insights. 2) Analyzing bottlenecks is important because most bottlenecks are found in business processes, policies, user interfaces and read models. However, simply documenting a bottleneck may not solve the problem, as organizational culture and emotions also influence whether issues are actually addressed. 3) When modeling legacy systems, it is important to identify bounded contexts and focus modeling and improvements within safer contexts first to minimize risk. Addressing technical issues alone may not be enough, as unaddressed cultural and emotional aspects can hinder

Here are the slides of the Summer of Code 09 talk. They contain: * Welcome and introduction to Summer of Code * Main Seminar How to have a kick ass ICT career

The document discusses using personas in service design to understand end users. It recommends six steps: 1) identify vital end users, 2) gather data about them, 3) define and redefine what the data means, 4) build personas, 5) use the personas to prioritize requirements and develop features, and 6) test products with real end users. The overall goal is to continuously keep the end user perspective in mind during design and development.

Product Management Event at #ProductCon Seattle on AI and ML for Product Management by Nitin Bhat, Senior Director of Product Management at Smartsheet.

Unit 1 of the document introduces artificial intelligence and machine learning. It discusses how AI solves real-world problems by simulating human intelligence and modeling problem-solving processes. It also covers machine learning models like supervised, unsupervised, and reinforcement learning. Additionally, it introduces popular Python libraries for artificial intelligence like NumPy, Pandas, scikit-learn, and TensorFlow. The role of Python in AI is also discussed along with Anaconda and how to install Python libraries.

My presentation about AI and how developers can use it to be more productive. It also covers some of the security implications of AI, how we at Sonatype use AI and how developers can fight the bad guys using AI

My set of slides for the talk Mark Palmer and I gave at the Highland Fling Sessions in Edinburgh on 19th April 2014

Everyone working in Artificial Intelligence (AI)/chatbots, has the opportunity to further develop technology which will affect the future of especially finance/payment, transport and health. The main question is how human-like‘ these solutions will need to be (if at all) in order to be adopted. And how will the future of employment look like?

Everyone working in Artificial Intelligence (AI)/chatbots, has the opportunity to further develop technology which will affect the future of especially finance/payment, transport and health. The main question is how human-like‘ these solutions will need to be (if at all) in order to be adopted. And how will the future of employment look like?

This document provides an introduction to artificial intelligence, including definitions and explanations of key concepts. It defines AI as making computers behave like humans through techniques like machine learning, reasoning, and problem solving. It then discusses narrow AI which focuses on specific tasks, general AI that can understand any intellectual task, and super AI that surpasses human intelligence. The document also covers reactive machines, limited memory AI, and the theory of mind approach. The overall summary is that the document serves as an introductory overview of the basics of artificial intelligence.

This document discusses ways to improve how web developers learn best practices through browser and tooling improvements. It suggests that linting and inline insights directly in code editors could help prevent mistakes by flagging issues early. A tool called webhint is highlighted that provides one-stop checking and explanations of hints related to performance, accessibility, security and more. The document advocates for customizing hints based on a project's specific needs and environment. Overall, it argues for accelerated learning through context-sensitive, customizable best practices integrated into development workflows.

The document discusses how machines and software can help humans by doing tasks like preventing mistakes, performing repetitive tasks, filling information gaps, remembering and categorizing information, improving understanding, enabling new communication methods, and providing protection. It describes how advances in AI, APIs, cloud services, and data processing have made it possible to build useful and helpful interfaces. The conclusion encourages developers to use these capabilities to create simple, human-centric interfaces that benefit users.

As design leaders we must enable our teams with skills and knowledge to take on the new and exciting opportunities that building powerful AI systems bring. Dynamic systems require transparency regarding data provenance, bias, training methods, and more, to gain user’s trust. Carol will cover these topics and challenge us as design leaders, to represent our fellow humans by provoking conversations regarding critical ethical and safety needs. Presented at dmi:Design Leadership Conference in Boston in October 2018.

A.I. is transforming our world in unprecedented ways and at unprecedented speeds, presenting an endless stream of opportunities for savvy entrepreneurs.

Presentation for an Admin Group of Administrative Assistants, Executive Assistants and Coordinators at Virginia Tech Carilion School of Medicine.

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The document provides an overview of machine learning, deep learning, and artificial intelligence. It discusses key concepts such as what machine learning and deep learning are, how they relate to artificial intelligence, common algorithms and applications. It also outlines the 7 steps of machine learning and differences between machine learning, deep learning, and traditional programming.

The document appears to be an assignment on artificial intelligence for a group of 11 students at NACABS Polytechnic in Akwanga, Nasarawa State. It provides an introduction to AI, including definitions of AI, its goals and components. It also discusses applications of AI in various fields such as healthcare, gaming, finance, data security, social media, travel and transport, and the automotive industry. The document aims to educate students on fundamental concepts and applications of artificial intelligence.

Presentation on artificial intelligence

Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD

Charles Mok discusses the potentials and limitations of artificial intelligence (AI). While AI shows promise in areas like diagnosing diseases, fighting climate change, and translating languages, it also faces limitations. AI may struggle with tasks requiring "System 2" thinking like abstract reasoning, planning, and understanding cause and effect. It can also replicate and even amplify the biases of its human creators. To realize AI's full potentials, Mok argues we must know its limitations, impose proper oversight and controls, ensure ethics and equality are incorporated, and take a realistic approach focused on specific tasks rather than assuming it can solve all problems.

We are obsessed with coding and creating automated workflows and optimisations. And yet our final products aren't making it easy for people to use them. Somewhere, we lost empathy for our end users and other developers. Maybe it is time to change that. Here are some ideas.

This document discusses privilege in the context of social media and the internet. It acknowledges privileges like internet access, the ability to communicate, and supportive online communities. It warns that machine learning and algorithms risk creating echo chambers and guided messaging if they are not kept in check by human curation. The document advocates taking back the web for decent, thinking and loving humans and using privileges to help others gain access to learning, communication, and communities.

JavaScript is a bigger world than a language these days. Time to take stock and find happiness in that world.

PWA are a hot topic and it is important to understand that they are a different approach to apps than the traditional way of packaging something and letting the user install it. In this keynote you'll see some of the differences.

This document discusses privilege in technology and perceptions of technology workers. It acknowledges the privileges that tech workers enjoy, such as access to resources and high demand in the job market. However, it also notes problems like peer pressure, lack of work-life balance, and imposter syndrome. Both tech workers and the public have skewed perceptions of each other - tech workers feel others do not appreciate or understand their work, while the public sees tech workers as antisocial or caring only about profit. The document encourages taking small steps to improve the situation, such as being kind to oneself, considering others, sharing knowledge, and focusing on quality over quantity of work.

The document provides five ways for JavaScript developers to be happier: 1) Concentrate on the present and focus on creating rather than worrying about the past or future. 2) Limit distractions by streamlining your development environment and using an editor like VS Code that consolidates features. 3) Make mistakes less likely by using linters to catch errors as you code. 4) Get to know your tools better like debuggers to avoid console.log and gain insights to build better solutions. 5) Give back to others in the community by being helpful rather than causing drama.

The document discusses progressive web apps (PWAs) and provides suggestions for improving them. It notes that while PWAs aim to have engaging, fast, integrated, and reliable experiences like native apps, they still have room for improvement in areas like speed, integration, and reliability. It emphasizes that PWAs should adhere to web best practices and provide actually useful experiences rather than just focusing on technical features. The document encourages helping the PWA effort by providing feedback, using and contributing to tools, keeping messaging up-to-date, and promoting high-quality examples.

Chris Heilmann gave a talk at BTConf in Munich in January 2018 about machine learning, automation worries, and coding. He discussed how coding used to refer to creative programming within technical limitations but now often refers to programming for work. He addressed common worries about new technologies and dependencies, and argued that abstractions are not inherently bad and help more people build products together through consensus. The talk focused on using tools to be more productive and enabling rather than seeing them as dangers, and creating solutions for users rather than fighting old approaches.

The document provides advice and encouragement for someone starting out with JavaScript development. It discusses how JavaScript can be used in many environments like browsers, apps, and servers. It recommends resources like MDN and tools like linting to help avoid mistakes. It emphasizes that this is an exciting time for JavaScript and advises setting priorities and standards, being involved in the community, and bringing new voices and perspectives.

Keynote at halfstackconf 2017 discussing the falsehood of the idea that in order to survive the automation evolution everybody needs to learn how to code. Machines can code, too.

Progressive Web Apps (PWAs) can provide app-like experiences through the web by making web content fast, reliable and engaging. While PWAs may not be necessary for all projects, they can help clean up and speed up current web-based projects. PWAs leverage new web capabilities like service workers to work offline, load fast, and improve the user experience without having to meet all the requirements of native apps.

This document discusses progressive web applications (PWAs) and their advantages over traditional native mobile applications. PWAs use modern web capabilities like Service Workers to deliver native-like experiences to users. Some key benefits of PWAs include their ability to work across platforms, have smaller file sizes for faster loading, support offline use, and provide simple update mechanisms compared to native apps. While PWAs do not have full access to device capabilities like native apps, they allow delivering app-like web content to users in a more accessible and reliable manner than traditional web pages.

Keynote at PNWPHP covering Machine Learning and How we should go about using it to build human interfaces.

This document discusses progressive web apps (PWAs). It notes that PWAs aim to make web apps feel like native mobile apps by being discoverable, installable, linkable, safe, responsive and progressive. The document outlines some key characteristics of PWAs, including that they need to be served from secure origins and have app manifests. It also discusses some common misconceptions around PWAs and notes that as PWAs improve, they will continue to blur the line between web apps and native mobile apps.

This document discusses the differences between CSS and JavaScript and when each is most appropriate to use. It argues that CSS is often underestimated in favor of JavaScript solutions. CSS has advanced significantly with features like calc(), media queries, animations/transitions, flexbox, grid, variables and more. These powerful features allow many tasks to be accomplished with CSS alone without needing JavaScript. The document encourages embracing the "squishiness" of the web and considering CSS more when building interfaces.

This document contains the transcript of a presentation by Chris Heilmann on web development. Some of the key points discussed include: - The benefits of progressive enhancement and using HTML, CSS, and JavaScript together to build robust and accessible websites. - How limitations in early design can foster creativity. - The importance of error handling and defensive coding practices. - Embracing new technologies like Service Workers and Manifests to build Progressive Web Apps. - Rethinking the idea that JavaScript is unreliable and should not be depended on, as modern browsers have made it a capable tool.

“If Tetris has taught me anything, it’s that errors pile up and accomplishments disappear” is a common quote and it seems we’re living this to its full extend as web developers. We fail to celebrate the successes we have and the tools that are at our disposal but we’re never short of finding reasons why things don’t work. We also tend to pile on technology on technology to solve problems that may actually not exist and thus clog up the web. In this talk Chris Heilmann wants to remind us what we achieved and how we should celebrate it and how we should stop trying to solve problems that are simply beyond our control.

The document discusses the challenges facing the progressive web and introduces progressive web apps (PWAs) as a solution. PWAs are built using modern web standards to provide native app-like experiences through features like push notifications, offline support, and app installation. They address issues with native apps like high installation friction, lack of control for publishers, and app store policies. PWAs are gaining adoption from companies like Alibaba and Housing.com who saw increases in user engagement metrics after implementing PWAs. The document outlines the core components of PWAs and provides an overview of browser and platform support.

Microsoft has become more open in recent years by open sourcing many products, making products cross-platform, and making training materials openly available. This open approach makes business sense for Microsoft as it attracts developers, allows employees flexibility, and taps into outside skills. Examples of Microsoft's success with open source include the Edge browser, Visual Studio Code editor, TypeScript transpiler, and ChakraCore JavaScript engine. The presenter encourages attendees to help promote Microsoft's open products and projects through conference talks, writing, and contributing translations and code.