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This presentation discusses the complexities of aligning teams and ensuring consistent product experiences across various platforms, proposing Server Driven UI (SDUI) as a solution. Key Points Covered: - The challenge of maintaining consistency in product experiences across web and app interfaces, highlighted by discrepancies in user experience features like comment sections. - Introduction of Server Driven UI (SDUI) to manage uniformity and streamline updates across different platforms. - The importance of adapting design systems to accommodate SDUI, ensuring uniform naming conventions, and component functionalities. - Technical discussions on overcoming framework differences and the operational load on developers due to continuous OS updates.
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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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This presentation discusses the complexities of aligning teams and ensuring consistent product experiences across various platforms, proposing Server Driven UI (SDUI) as a solution. Key Points Covered: - The challenge of maintaining consistency in product experiences across web and app interfaces, highlighted by discrepancies in user experience features like comment sections. - Introduction of Server Driven UI (SDUI) to manage uniformity and streamline updates across different platforms. - The importance of adapting design systems to accommodate SDUI, ensuring uniform naming conventions, and component functionalities. - Technical discussions on overcoming framework differences and the operational load on developers due to continuous OS updates.
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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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Intrigued by why some of the world's largest companies (Netflix, Google, Cisco, Twitter, Uber etc) are using gRPC? In this demo based talk we delve into the world of gRPC in .Net, what it does and why we should use it. We compare the interface with both Rest and graphQL. We will show you how to implement grpc server-side in .net and in the web. Finally, I will show you how the tooling helps you deliver powerful interfaces and interact with them quickly and simply.
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The presentation underscores the strategic advantage of treating design systems not just as technical assets but as vital business components that require thoughtful management, robust planning, and strategic alignment with organizational goals. Key Points Covered: - Understanding Design Systems as Business Entities: Conceptualizing design systems as internal business entities can streamline their integration and evolution within a company. - Adoption and Expansion: Elaborating on the importance of tactical adoption across organizational structures, enhancing product suites to cater to user needs and broadening scope to mobile and content authoring solutions. - Data-Driven Development: Utilizing data insights for component development ensures that resources are allocated to create valuable, widely used features. - Financial Modeling for Design Systems: Developing sustainable funding models is crucial for long-term support and success of design systems. - Promoting Internal Buy-In: Stressing on strategies for promoting design systems within the organization to increase engagement and investment from internal stakeholders.
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Already know how to write a basic SOQL query? Great! But what about an *aggregate* SOQL query? You know, the kind that uses aggregate functions like COUNT & MAX along with GROUP BY and HAVING clauses? No? Well, get ready to learn how to slice & dice your org’s data right inside your own dev console. From finding duplicate records to prototyping summary & matrix reports, learn the ins and outs of aggregate queries during this fast-paced but admin-friendly session on advanced SOQL concepts.
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This talk offers actionable insights at an executive level for enhancing productivity and refining your portfolio management approach to propel your organization to greater heights. Key Points Covered: 1. Experience Transformation: - The core challenge remains consistent across organizations: converting budget into user-centric designs. - Strategies for deploying design resources effectively in both startups and large enterprises. 2. Strategic Frameworks: - Introduction to the "Ziggurat of Impact" model, detailing layers from basic system interactions to comprehensive customer experiences. - Practical insights on creating frameworks that scale with organizational complexity. 3. Organizational Impact: - Real-world examples of navigating design in large settings, focusing on the synthesis of consumer products and customer experiences. - Emphasis on the importance of designing systems that directly influence customer interactions. 4. Design Execution: - Detailed walkthrough of organizational layers affecting design execution, from touchpoints and customer activities to shared capabilities. - How to ensure design influences both the micro and macro aspects of customer interactions. 5. Measurement and Adaptation: - Techniques for measuring the impact of design decisions and adapting strategies based on data-driven insights. - The critical role of continuous improvement and feedback in refining customer experiences.
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Structuring Teams and Portfolios for Success
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In this session, we will showcase how to revolutionize automated testing for your software, automation, and QA teams with UiPath Test Suite. In part 1 of UiPath test automation using UiPath Test Suite – developer series, we will cover, Software testing overview What is software testing Why software testing is required Typical test types and levels Continuous testing and challenges Introduction to UiPath Test Suite UiPath Test Suite family of products Speaker: Atul Trikha, Chief Technologist & Solutions Architect, Peraton and UiPath MVP Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
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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
Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.' We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly. By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
In today's presentation, we'll explore Security Onion, a powerful open-source platform designed to fortify your network security. Security Onion, much like its namesake vegetable, peels back the layers of your network traffic, enabling you to identify and address potential threats. We'll delve into its functionalities, core components, and the advantages it brings to your cybersecurity posture.
Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.
Boni Yeamin
Brief Introduction to Generative AI and LLM in particular. Overview of the market, and usages of LLMs. What's it like to train and build a model. Retrieval Augmented Generation 101, explained for non savvies, and a perspective of what are the moving parts making it complex
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
vincent683379
This presentation focuses on the challenges and strategies of connecting problem definitions within product development. Key Points Covered: - Kayak's mission since its inception in 2004 to simplify travel by enabling easy comparisons of flights through technological solutions. - Discussion of the complexities within the travel industry, including the high expectations for personalized user experiences and the various stakeholder influences. - Emphasis on the necessity of maintaining agility and innovation within a mature company through continuous reassessment of processes. - An explanation of the importance of disciplined problem definition to prevent project failures and team inefficiencies. - Introduction of strategies for effective communication across teams to ensure alignment and comprehension at all levels of project development. - Exploration of various problem-solving methodologies, including how to handle conflicts within team settings regarding problem definitions and project directions.
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
UXDXConf
This is the official company presentation of IoT Analytics GmbH, a leading global provider of market insights and strategic business intelligence for the IoT, AI, Cloud, Edge, and Industry 4.0. We are trusted by 1000+ leading companies around the world for our market insights, including globally leading software, telecommunications, consulting, semiconductor, and industrial players.
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
IoTAnalytics
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
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Powerful Start- the Key to Project Success, Barbara Laskowska
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Intelligent Gimbal FINAL PAPER Engineering.pdf
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Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
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Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
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Structuring Teams and Portfolios for Success
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UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
ODC, Data Fabric and Architecture User Group
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Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Enterprise Security Monitoring, And Log Management.
Enterprise Security Monitoring, And Log Management.
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
Anne Meininger Usa
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