The Future Of Work & The Work Of The Future

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What Happens When Robots And Machines Learn On Their Own? This slide deck is an introduction to exponential technologies for an audience of designers and developers of workforce training materials. The Blended Learning And Technologies Forum (BLAT Forum) is a quarterly event in Auckland, New Zealand that welcomes practitioners, designers and developers of blended learning instructional deliverables across different industries of the New Zealand economy.

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Digital transformation

Scopernia

- The document discusses digital transformation and how companies can master digital disruption. It provides 7 steps for digital transformation: 1) focus on solving customer problems, 2) involve everyone in intrapreneurship, 3) disrupt your own business model, 4) make digital a core part of your organization, 5) rapidly ship products, 6) develop digital leadership capabilities, and 7) introduce agile technology platforms. - It emphasizes the importance of moving fast, embracing change, thinking like a startup, and developing a "garage mindset" to foster innovation.

The Five Levels of Generative AI for Games

Jon Radoff

The document discusses 5 levels of generative AI that could be applied to games and virtual worlds, inspired by levels of autonomous vehicles. It outlines the levels for 4 types of creators: game studios, modders, players, and the game itself. The levels range from no automation to direct creativity from imagination. For each creator type, level 5 represents a state where generative AI is seamlessly integrated to directly spawn creations from ideas or prompts. The document aims to help identify opportunities for generative AI and mark progress in virtual world innovations.

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This document discusses visualizing data with code and provides information on tools and techniques for data visualization. It lists relevant fields like information design, data science, and cartography. It also lists example visualization tools and techniques like D3, Processing, network graphs, and mapping. Finally, it outlines a process for developing data visualizations that involves looking at the data, creating initial visualizations, asking questions, getting inspiration, refining ideas, and publishing visualizations.

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AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017

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What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...

Edureka!

** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training ** This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics: 1. AI as a threat 2. What is AI? 3. History of AI 4. Machine Learning & Deep Learning examples 5. Dependency on AI 6.Applications of AI 7. AI Course at Edureka - https://goo.gl/VWNeAu For more information, please write back to us at sales@edureka.co Call us at IN: 9606058406 / US: 18338555775 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

AI FOR BUSINESS LEADERS

Andre Muscat

A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value. * Review AI as a priority for value generation * Explore ongoing experimentation * Touch on how businesses are monetising AI * Understand the intent of adoption by industries * Discuss on the state of customer trust in AI Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com

10 Insightful Quotes On Designing A Better Customer Experience

Yuan Wang

In an ever-changing landscape of one digital disruption after another, companies and organisations are looking for new ways to understand their target markets and engage them better. Increasingly they invest in user experience (UX) and customer experience design (CX) capabilities by working with a specialist UX agency or developing their own UX lab. Some UX practitioners are touting leaner and faster ways of developing customer-centric products and services, via methodologies such as guerilla research, rapid prototyping and Agile UX. Others seek innovation and fulfilment by spending more time in research, being more inclusive, and designing for social goods. Experience is more than just an interface. It is a relationship, as well as a series of touch points between your brand and your customer. Here are our top 10 highlights and takeaways from the recent UX Australia conference to help you transform your customer experience design. For full article, continue reading at https://yump.com.au/10-ways-supercharge-customer-experience-design/

Introduction to ChatGPT

annusharma26

Everything to know about ChatGPT

Knoldus Inc.

AI USES IN FINTECH

Ducatus Global

This document discusses the uses of artificial intelligence in fintech. It defines AI as computer systems imitating human thinking, and describes three types: weak AI which completes simple tasks based on programming, strong AI which can learn and adapt to complete tasks more efficiently, and human reasoning AI which can anticipate human responses through machine learning. It explains that fintech industries use AI to enhance customer service by processing large amounts of data quickly to better understand customers, detect fraud, and provide faster, more personalized financial services and guidance. Overall, AI benefits fintech customers by accelerating and improving the convenience, ease of use, and delivery of financial services.

Deep dive into ChatGPT

valuebound

ChatGPT is a cutting-edge AI chatbot developed by OpenAI using their GPT-3 models. It was trained on vast amounts of internet data like Reddit to understand human conversation. While powerful for language tasks, it has limitations as it can provide incorrect answers depending on the input quality. ChatGPT serves different purposes than Google Search and cannot replace it, but can be used for tasks like content creation, translation, summarization, question answering, and more.

ChatGPT 101.pptx

MohamadAimanArifMoha

ChatGPT is a language model created by OpenAI that can carry on conversations, answer questions, and summarize text through natural language generation. It was trained on a large dataset of conversational text from various online sources to understand and generate human-like responses. While ChatGPT can perform tasks like translation, conversation, and summarization, it also has limitations since it may demonstrate biases from its training data and lacks full human-level context and common sense understanding. Users can get started with ChatGPT by signing up on the website and exploring example queries to learn its capabilities and functionality.

ChatGPT Deck.pptx

omornahid1

ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.

Generative AI at the edge.pdf

Qualcomm Research

Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential. In this presentation you’ll learn about: - Why on-device AI is key - Full-stack AI optimizations to make on-device AI possible and efficient - Advanced techniques like quantization, distillation, and speculative decoding - How generative AI models can be run on device and examples of some running now - Qualcomm Technologies’ role in scaling on-device generative AI

AI & Startups

TomaszTunguz

How AI is going to change the world _M.Mujeeb Riaz.pdf

Mujeeb Riaz

How AI is going to change the world? "AI: The Future of Our World“ "AI and its Transformative Impact on the World: Understanding the Potential of Chatbots and Conversational AI" What is Artificial Intelligence and how it works? What are Chatbots? What Is ChatGPT? Difference between chatGPT 3 and chatGPT 4? Is Jasper artificial intelligence? What is Character AI and how it works? How chatGPT is going to change the world? Why we are calling ChatGPT the future?

4 Biggest Challenges for Creative Teams

Wrike

https://www.wrike.com/blog - We surveyed creative teams to discover their biggest challenges and bottlenecks, from conception to completion. And what we discovered was: creative teams have to organize requests, listen to feedback, and seek approvals, all while trying to incorporate their own creative vision, making it difficult to prioritize and meet deadlines. Check out the details in our Slideshare.

Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...

Bernard Marr

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Digital transformation

The Five Levels of Generative AI for Games

Visualising Data with Code

[Infographic] How will Internet of Things (IoT) change the world as we know it?

ChatGPT_Cheatsheet_Costa.pdf

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017

What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...

AI FOR BUSINESS LEADERS

10 Insightful Quotes On Designing A Better Customer Experience

Introduction to ChatGPT

Everything to know about ChatGPT

AI USES IN FINTECH

Deep dive into ChatGPT

ChatGPT 101.pptx

ChatGPT Deck.pptx

Generative AI at the edge.pdf

AI & Startups

How AI is going to change the world _M.Mujeeb Riaz.pdf

4 Biggest Challenges for Creative Teams

Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...

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Enabling Autonomy

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http://www.ianlivingstone.ca/2015/11/17/enabling-autonomy/ The drastic increase in the importance of knowledge workers has turned traditional management structures and philosophy upside down. Previously, all of the information and authority was centralized in management and workers simply operated according to some proscribed procedure with limited ability to make their own decisions. However, the rise of the knowledge worker such as developers, designers, and product managers has thrown these structures out the window as they've proven unable to deliver incredible products and technology. The new name of the game is enabling teams to operate autonomously and build towards a vision that is seeded by the leadership but authored by the team. How do we enable teams to operate autonomously while ensuring that they are held accountable? How does this change as organizations grow? Why does this matter and what are the results?

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At BuildStuff'14, Kevlin Henney presented an excellent talk titled "Seven ineffective coding habits of many programmers". As an attendee that day and someone who has exhibited many of these habits over the years, I came to realize that using F# has cured me of many of these ineffective habits! In this talk I'll share my thoughts on how the use of F# and functional programming techniques can help form and nurture good habits and give you the perfect practice you need to make perfect.

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Pollen VC builds a digital lending business to help app developers access their app store earnings early. Their tech platform connects directly to app stores to price risk in real time. This allows developers to reinvest earnings daily into user acquisition instead of waiting 60+ days for platforms to pay out. Typically, developers fail to get early credit and can't acquire more users, but Pollen VC's new model provides funding using real-time app data to validate risk. They aim to fund more opportunities for long tail developers by improving access to working capital.

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The document summarizes a TEDx event held in San Francisco on October 29, 2015. Over 1,500 people from around the world attended the event at Pier 70, where 24 speakers shared their passions and visions. 20 farmers and food startups operated a pop-up market, and 30 artists transformed the site. Attendees provided positive feedback, praising the inspiring talks, venue, food, and feeling of community. The event was deemed a success in bringing people together and sharing new ideas.

Innovation Enablers: Culture, Community & Code

Angel Diaz

1) Innovation requires infusing a culture of innovation through disruptive technologies like cloud, mobile, IoT, data and analytics, and cognitive computing. 2) Successful digital transformation leaders challenge traditional approaches, cut through bureaucracy, and prioritize developing leaders to drive strategic change. 3) To innovate, organizations must learn to lead by empowering cross-discipline teams as passionate explorers, identifying how developers want to lead and be led, and enabling the right technology to adapt to change in positive ways.

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