Blog

Over the years, I have written blogs on user experience, customer experience, innovation, design thinking, agile development, data science, predictive analytics, AI, personalization, brand, business strategy, product management, emotional connection, design, art, culture, leadership life… and other topics. – Enjoy.

wearables

Wearable Artificial Intelligence Experience Design

Designing the wearable artificial intelligence (AI) experience involves creating interfaces and interactions that seamlessly integrate with the wearer’s daily life. Wearables present a unique set of challenges when it comes to design. The devices have limitations (smaller screen space, less information density, limited battery life) and present different use cases (people using wearables are regularly

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Artificial Intelligence Experience Success Metrics

The success metrics for an artificial intelligence (AI) experience (X) can vary depending on the goals and objectives of the project. However, here are some common metrics that organizations often use to measure the success of AIX: Satisfaction Surveys and feedback from customers can provide insights into their satisfaction with the AIX. This can be

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The Return on Investment of Artificial Intelligence

The return on investment of artificial intelligence is multifaceted and extends beyond mere financial metrics. While the cost efficiency and operational optimizations are tangible and quantifiable benefits, the enhanced decision-making, personalized customer experiences, revenue growth, and risk mitigation contribute to the holistic value proposition of AI adoption.  Innovation that Drives Revenue Growth and Market Expansion

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Artificial Intelligence Experience Design Discovery Process

The Artificial Intelligence (AI) experience design (XD) discovery process involves understanding and defining your target customer’s interaction with your AI systems to create meaningful and effective experiences. Here’s a general guide to the discovery process for AI XD: 1. Define Objectives and Goals:    – Clearly outline the objectives of the AI system and the goals

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chatbot

Chatbot User Experience Guidelines

Creating an effective and user-friendly chatbot experience involves considering several factors, including human-centered design principles and conversational flow best practices.  Here are some guidelines to enhance the user experience of your chatbot: 1. Understand Your Audience    – Identify your target audience and tailor the language and tone of the chatbot accordingly.    – Consider user demographics, preferences,

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AI UX and the Power of the Human in the Loop

One crucial aspect of designing artificial intelligence (AI) generated experiences is the integration of the “Human in the Loop”.  This symbiotic relationship between AI and human input is redefining the way we design, develop, and interact with intelligent systems. What is Human in the Loop? Human in the Loop (HITL) is understanding the irreplaceable role of

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User Experience and the Role of Artificial Intelligence Prompts

Artificial intelligence (AI) prompts play a pivotal role in shaping how users interact with applications, websites, and devices, leading to more intuitive and personalized experiences. Understanding AI Prompts AI prompts refer to the intelligent cues or suggestions provided by machine learning algorithms to guide users through a specific process or help them make informed decisions.

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AI

User Experience and Generative AI

In the ever-evolving landscape of technology, one of the most promising and transformative advancements is the integration of generative artificial intelligence (AI) into user experience (UX) design. Generative AI, powered by deep learning models, is changing the way we interact with digital interfaces, offering unprecedented opportunities to create more personalized, intuitive, and engaging user experiences.

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Artificial Intelligence Learn, Leverage, and Master Model

Artificial Intelligence (AI) has become a transformative force across various industries, reshaping the way we work, communicate, and even think. From healthcare to finance and beyond, organizations are harnessing the power of AI to streamline operations, make data-driven decisions, and enhance customer experiences.  The AI Learn, Leverage, and Master (LLM) model helps organizations assess their

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Behavioral Economics

Behavioral Economics

“Better decisions make a better world. However, improving decisions is a messy and difficult thing.” – The Decision Lab There is a common misconception that most people have well-defined preferences and make well-informed, self-interested decisions based on those preferences. Behavioral economics looks at the differences between what people “should” do and what they actually do

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Go To Market Strategy

Go-To-Market Strategy

Get smart about your go-to-market strategy. Pick the right customers and position your brand to win will help your organization gain profitable market share without overspending in the process: All this comes together to create the context behind crafting your go-to-market strategy to identify which market slices you will pursue, the right customers to target,

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innovation culture

Innovation Culture

Being innovation isn’t easy. First, you need to have an understanding on what innovation really is and how to apply it to your organization process. Second – and probably more important, you need to have the will to change how you do things today. People, in general, don’t like to change. Getting people to change

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