This year, A and I became the probably most used letters in the alphabet. Time to reflect upon the role we play as designers in an increasingly AI-driven landscape.
Full loop analytics framework (English version)Sol Mesz
We know that a product is viable when User, Product and Business aspects are equally represented.
But when we look at existing metrics frameworks we see that most focus on isolated parts of the triad.
The Full Loop Analytics framework, is a new metrics framework that provides a holistic view of the performance of a product by looking at its 3 key dimensions: user, product and business.
This way of looking at metrics takes organizations out of a fragmented vision and moves them into a holistic one. In other words, this framework takes organizations from output to outcome focused product metrics.
Join 20-year SEO veteran Ryan Huser as he explores the transformative intersection of Generative AI and SEO in his talk, ""Generative AI: The new Wild West of SEO"". The presentation will discuss how tech giants Bing and Google have enhanced the search experience using Generative AI. It will also unpack the wealth of options available to marketers, and how they can use these innovations for content creation and search engine optimization. Ryan's talk promises to offer invaluable insights into the emerging landscape of AI-driven SEO, emphasizing its profound implications for digital marketing strategies.
This document discusses design doing and how it differs from traditional design thinking. It defines design doing as a hands-on process that emphasizes prototyping ideas quickly and testing them. The key aspects of design doing are described as empathizing with users, ideating potential solutions, and taking an experimental approach of rapidly prototyping, testing, and iterating ideas. Examples are given of how design doing has been used successfully in organizations to launch new digital products and transform businesses. The document argues that design doing holds potential for solving problems in any industry when combined with a focus on prototyping, experimentation, and continual learning.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Dynamic Roadmap: Combining Strategy and Design Thinking1508 A/S
Our Morgenbooster "Dynamic Roadmap: Combining Strategy and Design Thinking" answering the question: What can strategists and design thinkers learn from each other?
TED TALKS was created in 1984 with a big mission in mind: to gather the most interesting people in the world, sharing their passion in about 18 minutes. TED stands today as the benchmark for the best presentations. Why? Because the best presentations entail a well-thought storytelling structure that easily sings to the audience. Curly Films - Storytelling Office shares 7 tips you can use in your own business presentations.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Storytelling fundamentals (from Propp to Andrea Fontana) and examples. Marketing perspectives on storytelling. Storytelling with data techniques. Hints and examples
Morgenbooster Purpose-Driven Innovation I Morgenbooster #901508 A/S
In this Morgenbooster Jens Bjørn Koustrup Nielsen, CCO at 1508, and Hjørdis Thorborg, Brand Experience Director at 1508, will address some of the fuss and buzz about purpose and innovation and will share their own reflections on how you can drive impactful design- and innovation processes through a strong sense of purpose.
This document is a presentation about generative AI and Microsoft's ChatGPT, Copilot, and other AI tools. It discusses real-life scenarios where generative AI can be applied, such as communications, note-taking, coding, and more. It also covers Microsoft's Copilot tools for various applications like Dynamics 365, Power Platform, GitHub, and Microsoft 365. The presentation provides examples and screenshots of these tools and discusses next steps for getting started with generative AI.
Demystifying UX, CX and Digital TransformationMelissa Wilfley
I presented this talk for the WPP/Wunderman Thompson Singapore educational series.
In order to get your organisation, team and/or agency to enable digital transformation through customer experience you need to level-set definitions and get everyone on the same page on what these terms mean. This talk is meant to help you understand:
1. The difference between UI / UX / CX
2. Importance of Customer Experience Management and CX Business Strategies
3. How CX fits into Digital Transformation
In this Morgenbooster Adam Voigt, UX Designer at 1508, and Mikkel Jespersen, co-founder and partner at 1508, will investigate the potentials of Customer Journey Mapping.
This document discusses harnessing large language models (LLMs) for business applications. It provides an overview of how LLMs have progressed from foundational models to today's large language models. The document then discusses several potential use cases for LLMs in business, including for sales. It notes that LLMs have potential benefits but also risks regarding transparency, bias, accuracy and more. It provides a framework for assessing the feasibility of LLMs for different business uses. The document aims to help business leaders understand and evaluate using LLMs.
The Power of Words: Why Writing is Designing too Morgenbooster1508 A/S
Do you have a digital service, website or app? Then you probably need a UX writer. Find out how UX writing can tie together value proposition and user experience.
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
During this Morgenbooster, we will dive into the understanding of digital design systems, and why they have become increasingly popular.
What are they? How do they work? What will you gain from building one? And last, but not least we will take you through a couple of tangible experiences and journeys of building such a system.
Throughout the talk we will be sharing experiences from both a design and development perspective.
And hopefully we will all have the feeling of getting one step closer to a design system, which meets all the requirements in modern digital design. A system where all services, assets and communications are designed from one central place to evoke both emotions in a coherent brand experience and support the functional necessities of today’s dynamic business strategies.
Articial Intelligence in Brand & IllustrationMartin Hansen
A low practical look into our early exploration with AI.
A presentation about how we have explored using AI in our visual design work. The slides presents overall thoughts about AI and highlights 2 cases with our early experiences using AI in design and brand work.
The slides was made by
Martin Hansen linkedin.com/in/designbymash and
Jakob Kahlen https://www.linkedin.com/in/kahlen/
AI Restart 2023: Guillermo Alda - How AI is transforming companies, inside outTaste
Companies which want to benefit from the transformative power of AI need to embrace change and adapt their organizations with new roles and organizational structure. Disclaimer: AI is not taking your job.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
Artificial Intelligence for Product Managers by former Yahoo! PMProduct School
Jobs requiring artificial intelligence skills in the US has grown 450% in the last five years. Corporations are seeking relentlessly for product leaders who can utilize AI technologies on their products and services to improve the company’s bottom line or top line. It's called the Fourth Industrial Revolution, and it is happening right here, right now.
However, as a Product Manager, how do you gain the necessary knowledge to analyze, understand, plan, and design products based on artificial intelligence technologies? Since you cannot get a college degree in AI Product Management, how do you adapt to this rapid change? In this talk, Adnan helped to answer these questions.
How AI and Machine Learning can Transform OrganizationsSkyl.ai
About the webinar
83% of businesses say AI is a strategic priority for their businesses today, while only 23% of businesses have incorporated AI into processes and product/service offerings today [source: Forbes].
Artificial intelligence and machine learning have started to disrupt the traditional way of doing business and revolutionize everything from farming to rocket science. Do you want to be left behind?
Through this webinar, we will discover how various industries are adopting technologies to innovate and disrupt their business models to increase revenue, reduce costs, improve quality and customer satisfaction as well as to handle risks.
What you will learn
- How organizations have gained benefits with AI in their business to increase revenue, reduce cost, improve quality and manage risks
- Mind-blowing Innovative and disruptive emerging AI use cases in various industry sectors
- How to leverage AI in your business to get a competitive advantage
At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence.
Machine learning for broadcasting & media productionMaxim Kublitski
Silk Data was founded by PhD experts with over 25 years of experience in AI and machine learning. They help companies solve problems through machine learning and AI. They use techniques like natural language processing, computer vision, and advanced analytics to personalize content, optimize ads, analyze media, and more. Silk Data provides consultancy, model development, integration, and support. Their team combines experience with a startup culture to drive innovation.
1) AI is currently experiencing a "big AI Spring" due to improvements in data availability, processing power, and interfaces that have increased data for training models.
2) However, there is also significant hype around AI capabilities that often misrepresent the current state of the technology. AI systems require specific, high-quality data and focused problems to solve in order to deliver real value.
3) The speaker advocates focusing on using AI to empower employees and improve customer experiences, rather than replacing humans, in order to realize transformational benefits while managing expectations.
The document discusses several ethical issues related to artificial intelligence (AI) with reference to law. It discusses how AI systems can exhibit bias if the data used to train them is biased. It also discusses privacy concerns around how much personal data about individuals is collected. It provides steps that can be taken to address these issues, such as making sure data quality is good, using synthetic data, checking for bias, ensuring transparency and interpretability, including an ethical committee, rigorous testing, and keeping records. It discusses some examples of AI being used in the Indian legal system, like a machine translation tool for court documents and a research engine for judges. It concludes that while AI can help with administrative tasks, human judgment is still needed and more data
This document discusses an AI-powered insurer of the future. Key points:
- Advances in data, AI, and cloud computing are changing insurer functions like underwriting, claims, and customer service by bridging gaps between value chain components.
- Insurers of the future will require new skills like using AI to personalize customer experiences, augmenting internal data with external sources, and leveraging AI and data for superior claims handling.
- Insurers can take either a defensive or offensive strategy to AI - defensive focuses on compliance while offensive uses data and AI to solve business problems and improve competitiveness.
- Insurers are using a range of AI techniques like natural language processing, predictive
4 Steps To Using AI Ethically In Your Organization Bernard Marr
AI can do incredible things, but just because something is possible doesn't mean it's right. There’s enormous potential for backlash against the misuse of AI, and policymakers and regulators will no doubt take an increasing interest in AI. This means it’s vital organizations pursue an ethical use of AI.
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
This document discusses ethical issues related to artificial intelligence. It notes that nearly half of those polled oppose giving robots emotions or personalities. It also discusses using machine learning for credit scores, the lack of understanding of deep neural networks, reinforcement learning challenges like safe exploration and gaming reward functions. The document calls for ethically aligned design of AI through accountability, transparency, embedding human values, and allowing control over digital identities. However, it acknowledges that current guidelines are not possible given technology limitations.
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Trustable Technology Mark: Public LaunchPeter Bihr
The document introduces the Trustable Technology Mark, a trustmark for connected devices and IoT products. It aims to provide consumers with information to make informed decisions about connected products and enable companies to prove their products are trustworthy. The trustmark evaluates products on dimensions like privacy, transparency, security, stability and openness. Companies can apply by completing a self-assessment, which is then reviewed by experts. The goal is to establish best practices and raise standards in the IoT industry. Applications are now open to the public on the trustabletech.org website.
Generative AI is getting all the attention, headlines, and industry hype. Organizations are looking at how it can be used to create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets.
We will begin by providing an overview of the fundamental concepts and advances in generative AI, followed by an in-depth examination of the importance of knowledge management in developing, implementing, and improving these systems.
We’ll discuss knowledge management approaches for the organization and retrieval of information, how retrieval fits in with content generation, and the challenges and opportunities it presents for the enterprise.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the training of the AI through the behind-the-scenes preparation of the data. Getting an AI application to actually do something useful does not happen by magic. Algorithms are in place today, but until the system is taught, it will not produce the results you are hoping for. The more research you do, the more you realize that AI only works when it has the data it needs to spot trends, identify patterns, and provide functionality. No data? No AI. And it can't use just any unstructured data. The data needs to be high-quality data. Yes, it can be messy, but it can’t be poor quality. And depending on the application, the data will require structure and curation. Attend this keynote presentation from Seth Earley, CEO of Earley Information Sciences, to learn how to train your AI, the kinds of data that are needed to make it work, and why intelligent content is vital for artificial intelligence. November 30, 2017
A SMART Seminar conducted on 3 May 2013 by Ian Bertram.
Leveraging information for decision making, assessing its value and ensuring frictionless sharing of information within the enterprise and beyond is what will fuel success in the current and future economy. New use cases with insatiable demand for real-time access to socially mediated and context-aware insights make information management in the 21st century dramatically different.
For more information, see http://goo.gl/a6F2c
This document discusses the impact of generative AI on the global economy. It begins with an introduction to generative AI, explaining that it creates new and original content rather than copying existing content. Generative AI has applications in areas like art, design, music, business, and marketing by automating the creative process. The document then discusses case studies and success stories of generative AI, as well as dangers and biases that need to be addressed, such as copyright issues, privacy concerns, and cybersecurity threats. It concludes by considering the future outlook and how businesses and individuals need to prepare for generative AI's opportunities and challenges.
Similar to Ai and Design: When, Why and How? - Morgenbooster (20)
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Morgenbooster: Storytelling in Identity Design1508 A/S
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Design Storytelling affects your audience by tying the idea and image together—in a visceral way. In this morning booster, we share our views on how to create a visual concept where everything blends together and share cases where the identity design is telling a unique story about the brand it is a visual representation of.
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Browsing the internet for inspiration for your next vacation is as bad for the environment as actually traveling there by plane. Well, at least on a large scale. That is because accumulated, the internet emits the same amount of CO2 as the airline industry.
User centricity, hypothesising and prototyping. These are some of the core principles of Design Thinking. By empathising with a group of people, these principles promise to reduce uncertainty about what problems to solve for whom and how.
How do you turn pension, a difficult and perhaps a bit boring subject, into simple and relevant messages for 350,000 members? That is what this Morgenbooster will answer.
Morgenbooster 1508 - Think like a Futurist Act Like a Designer1508 A/S
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Get a sneak-peek into how to apply futures thinking to your design processes to help create reactive and proactive brands, businesses, and products.
Our Morgenbooster: The Game of Accessibility
Exploring the digital realm of video gaming and embracing the hypothesis of whether we can learn from it.
Particular focus on the approach video games take to accessibility, and user customization in general, when designing experiences.
No-Code Tools: Website Design of the Future?1508 A/S
This document discusses no-code tools for website design. It begins with an introduction to no-code tools and their growing popularity. It then discusses specific no-code tools like Webflow, how to choose between tools, and provides examples of websites built with tools like Readymag and Webflow. The document also covers why no-code matters, the process of using a no-code tool like Webflow to build a website, and possibilities for the future of no-code tools and website design.
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Professional design drives turnover, return, and growth.
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11. Question:
How do you envision AI shaping your work and the field of design in the long run?
I think AI could lead to entirely new
ways of designing that we can't even
conceptualize yet
9
I foresee AI tools maturing to a point
where they handle mundane tasks,
letting me focus entirely on creative
problem-solving
8
I believe that AI will fundamentally
reshape the design field, introducing
new roles and making some current
roles obsolete
4
I don't think AI will have more than a
marginal impact on my work or the
broader field of design even in the long
term
1
14. Foundation Value Creation
• SXSW 2023
• Everlearn x2
• AI committee formation
The aha moment
Our internal process
15. Foundation Value Creation
• SXSW 2023
• Everlearn x2
• AI committee formation
• Safe usage & Risk management
• Discuss in internal kick offs
• Paragraph in proposal
The aha moment
Guidelines & Policy
Our internal process
16. Foundation Value Creation
• SXSW 2023
• Everlearn x2
• AI committee formation
• Safe usage & Risk management
• Discuss in internal kick offs
• Paragraph in proposal
The aha moment
Guidelines & Policy
Understanding & Testing
• Understand risks
• Explore opportunities
• Upskilling internally
Our internal process
17. Foundation Value Creation
• SXSW 2023
• Everlearn x2
• AI committee formation
• Safe usage & Risk management
• Discuss in internal kick offs
• Paragraph in proposal
• Ensure everyone has the right
tools to work with (efficient &
safely)
• Reduce technical risks of being
dependent on immature tools
• Generative AI as a natural part of
our internal processes?
• AI Solutions as logic options
integrated in our deliverables?
The aha moment
Guidelines & Policy
Understanding & Testing
AI Implementation
• Understand risks
• Explore opportunities
• Upskilling internally
Our internal process
18. Foundation Value Creation
• SXSW 2023
• Everlearn x2
• AI committee formation
• Safe usage & Risk management
• Discuss in internal kick offs
• Paragraph in proposal
• Ensure everyone has the right
tools to work with (efficient &
safely)
• Reduce technical risks of being
dependent on immature tools
• Generative AI as a natural part of
our internal processes?
• AI Solutions as logic options
integrated in our deliverables?
The aha moment
Guidelines & Policy
Understanding & Testing
AI Implementation
• Understand risks
• Explore opportunities
• Upskilling internally
Our internal process
20. Generative AI exploration is accelerating, thanks to the
popularity of stable diffusion, midjourney, ChatGPT and
large language models. End-user organizations in most
industries aggressively experiment with generative AI.
Gartner VP Analyst Svetlana Sicular,
22. AI Guidelines
Transparency
We are open with our clients
about what tools we use and
when we use it in the process.
Privacy
We respect the privacy of both
our colleagues and clients. We
do not paste or type in any
names of individuals or
company names while using any
AI tools.
AI with clients
23. AI Guidelines
Human decision-making
We are aware that we have the
ability to override any type of
decision that AI tools have
made.
Exploring together
We have an open mindset
around the topic and are willing
to try to implement it in our
processes to better understand
where in the process it make
sense.
AI with colleagues
24. AI Guidelines
Mastery of Prompting
We make sure to stay
knowledgeable and learn the art
of prompting to receive relevant
and accurate responses
Content Quality & Safety
We think twice when we create
prompts to reduce the risk of
getting harmful, biased, or
undesirable content generated.
Prompt Engineering
25. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
27. Two types of AI in our work
Tools
As a help to improve and optimize our own
processes
Products
When AI is part of the products and
services we create
28. Proof by Design
DESIGN PRACTICE
Insight
What is the problem?
Concept development and test
Prototype, test, learn
Development
Iterative process
29. Proof by Design
DESIGN PRACTICE
Insight
What is the problem?
Concept development and test
Prototype, test, learn
Development
Iterative process
Create interview
guide
Plan
workshop/sprint
Competitor analysis
Desk research
Ideation
Transcribe
interviews
Analyze research
30. Proof by Design
DESIGN PRACTICE
Insight
What is the problem?
Concept development and test
Prototype, test, learn
Development
Iterative process
Create concepts
for test
Analyze
user tests
Create test
manuscript
Create text/images to
prototypes
Transcribe
user tests
31. Proof by Design
DESIGN PRACTICE
Insight
What is the problem?
Concept development and test
Prototype, test, learn
Development
Iterative process
Optimize
code
Find bugs
in code
First draft
of code
33. How frequently do you partner with AI-tools in your work?
Weekly:
I engage with AI tools about once or
twice a week
9
Daily:
AI is an integral part of my workflow 8
Occasionally:
I've experimented but don't use AI
consistently
7
Monthly:
Once or twice a month, I'll use an AI tool 3
Never:
Haven't dabbled in AI tools yet 3
38. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
39. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
44. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
45. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
48. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
49. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
52. Case:
Insurance bot
User problem:
It is difficult for the users to sort in
the information on the website to
figure out if they are covered or not
55. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
56. Risks & Challenges
Loss of uniqueness
Generic input will most likely render generic
output, why we need to understand how to
prompt.
Ethics & Biases
Models are a product of the data they were
trained on, in many cases biased.
Hallucination
Models do not have a good or true sense of
reality and may create incorrect information.
Dependent on third-party providers
Becoming dependent on third-party providers
makes us vulnerable to sudden price changes
etc.
Copyright
AI-generated work are constructed from
existing material. Can we use it without
breaking copyright law?
Privacy & Security
How is information we input used? How do we
safeguard confidential data?
64. Top 3 inspiration
1.Best podcast
AI revolutionen - (in Danish) host: Mikkel Rosenvold & Anders Bæk-
Møller
2.Best talk
Design in Tech 2023: Design and Artificial Intelligence - John
Meada
3.Best AI design ressource
AI meets design toolkit - Tools to help at each step of the design
thinking process to design with and for AI
65. What do you think about
bringing AI into the design
process?