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In an era where artificial intelligence (AI) is becoming increasingly integrated into our daily lives, the need for empathetic technology is paramount. This talk explores the role of motion design in enhancing AI interfaces to foster empathy and improve user experiences. Key Topics Covered: 1. Introduction to Empathetic AI - The importance of creating empathy in AI interfaces - Personal journey from character animation to AI and robotics design 2. The Role of Motion in User Interaction - Historical context of motion in design, from early Disney animations to modern interfaces - The blinking cursor: An example of effective motion use since 1960 3. Designing for Empathy - How motion can enhance user satisfaction and trust in AI systems - Examples from human-robot interaction and AI interfaces 4. Creating Human-like Interactions - Using motion to provide transparency and context in AI interactions - The importance of natural conversation flows and the ability to interrupt AI responses 5. Avoiding the Uncanny Valley - Recognizing and mitigating the uncanny valley in AI-generated content - Examples of effective and ineffective uses of motion in AI 6. Systemizing Motion Design - Strategies for integrating motion into AI systems at scale - Salesforce’s approach to creating and scaling a motion system for AI
Motion for AI: Creating Empathy in Technology
Motion for AI: Creating Empathy in Technology
UXDXConf
This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
UXDXConf
This instalment looked at building performance at the earliest stages of your project, covering Interoperability, Solar and Daylighting.
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
IES VE
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
Agentic RAG transforms how we approach question answering by introducing an innovative agent-based framework. Unlike traditional methods that rely solely on large language models (LLMs), agentic RAG employs intelligent agents to tackle complex questions requiring intricate planning, multi-step reasoning, and utilization of external tools.
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
ChristopherTHyatt
A talk given by Julian Hyde at the San Francisco Distributed Systems Meetup on May 22, 2024.
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Julian Hyde
We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging. Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
CzechDreamin
ScyllaDB has the potential to deliver impressive performance and scalability. The better you understand how it works, the more you can squeeze out of it. But before you squeeze, make sure you know what to monitor! Watch our experienced Postgres developer work through monitoring and performance strategies that help him understand what mistakes he’s made moving to NoSQL. And learn with him as our database performance expert offers friendly guidance on how to use monitoring and performance tuning to get his sample Rust application on the right track. This webinar focuses on using monitoring and performance tuning to discover and correct mistakes that commonly occur when developers move from SQL to NoSQL. For example: - Common issues getting up and running with the monitoring stack - Using the CQL optimizations dashboard - Common issues causing high latency in a node - Common issues causing replica imbalance - What a healthy system looks like in terms of memory - Key metrics to keep an eye on This isn’t “Death-by-Powerpoint.” We’ll walk through problems encountered while migrating a real application from Postgres to ScyllaDB – and try to fix them live as well.
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
ScyllaDB
Generative AI architecture, at its core, revolves around the concept of machines being able to generate content autonomously, mimicking human-like creativity and decision-making processes. Unlike traditional AI systems that rely on predefined rules and data inputs, generative AI leverages deep learning techniques to produce new, original outputs based on patterns and examples it has learned from vast datasets. This capability opens up a multitude of possibilities across various domains within an enterprise.
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
alexjohnson7307
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Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
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The architecture of Generative AI for enterprises.pdf
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Flyer Spirit Presentation
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