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Andrew Desmarais Principal Software Engineer @ Meltwater Build your next app with web components! Web components have matured significantly over the last several year and are definitely ready for prime time. Writing a full blown web application with web components is now a wonderful experience. What about my framework features? CSS style isolation out of the box with Shadow DOM Component based architecture Supports ESM Bundled (if you want) Minified (if you want) Documentation - Best on the web! (Thanks [MDN]!) Supported by all major browsers (And IE11 with some polyfills) Data binding - a little help from lit-html will go a long way! Other talks at this conference 🚀🪐 https://www.conf42.com​/js2021 — 0:00 Intro 0:26 Talk

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Maksim_Kupriianov_solving_network_incidents Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction to Network Incidents 3:22 Examples of Major Network Incidents 5:11 Anatomy of a Network Incident 8:53 Common Triggers and Consequences 13:50 Preparation and Redundancy 14:45 Building an Out-of-Band Management Network 15:11 Importance of Data Backups 15:29 Conducting Regular System Audits 16:34 Developing Comprehensive Documentation 17:38 The Importance of Drills and Simulations 18:52 Staying Calm During Network Incidents 19:19 Gathering Initial Information 19:50 Establishing Incident Command 20:46 Securing Communication Channels 22:06 Prioritizing Fixes and Determining Root Causes 24:18 Common Pitfalls During Incidents 26:41 Post-Incident Review and Learning 27:46 Final Thoughts and Conclusion

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Zuodong_Xiang_52_resilient_systems_amazon Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction: What Can Possibly Go Wrong? 0:58 Real-Life Scenario: Flood of Traffic 3:01 Real-Life Scenario: Retry Storm 5:10 Real-Life Scenario: Plan B Went Poorly 6:24 Real-Life Scenario: Bad Commit 8:21 Real-Life Scenario: Lack of Sufficient Ownership 9:21 Real-Life Scenario: Script Errors 10:20 Prevention Strategies: Defensive Coding Practices 11:09 Logging and Error Handling Best Practices 12:35 Setting Effective Alerts 15:04 Mitigation Strategies for Alerts 15:46 Preparing for High Velocity Events 17:27 Conducting a Self Review 19:42 Conclusion and Takeaways

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Ram_Meka_37_ai_dialysis_healthcare Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction to AI in Dialysis Healthcare 0:53 Understanding Dialysis and Its Types 1:43 Settings and Costs of Dialysis 2:47 Importance of Incident Management 4:57 Incident Management Process 8:14 Challenges in Dialysis Healthcare 11:43 Role of AI in Healthcare 12:29 AI Technologies in Healthcare 14:03 AI Applications in Healthcare 15:51 AI in Incident Management 16:17 Predictive Analytics in Healthcare 17:14 Real-Time Monitoring in Healthcare 17:42 Automated Reporting Systems 18:09 Deep Dive into Predictive Analytics 19:18 Real-Time Monitoring Technologies in Dialysis 21:08 Case Study: AI Implementation in Dialysis 22:24 Automated Incident Reporting 24:47 Benefits of AI in Dialysis Incident Management 26:35 Implementation Considerations for AI in Healthcare 28:57 Ethical Concerns in AI Development 29:57 Future Trends in AI and Dialysis Healthcare 31:31 Collaborative AI Systems in Healthcare 33:51 Conclusion and Final Thoughts

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Anandakumar_Kumaravelu_4_ai_retention_personalization Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction and Speaker Background 0:26 Overview of AI in Retail Promotions 1:33 Introduction to AI and Promotional Strategies 2:56 The Role of Data in AI-Powered Personalization 4:02 Understanding AI-Powered Coupon Personalization 6:45 Collecting and Utilizing Customer Data 14:49 Machine Learning Algorithms for Personalization 19:15 Benefits of Coupon Personalization 20:32 AI-Driven Personalization in Retail 21:19 Customer Retention Through Personalized Coupons 22:43 Cost-Effective Marketing Strategies 23:14 Case Studies: Amazon, Netflix, and Sephora 25:59 Challenges in AI and Data Privacy 30:44 Future Trends in AI for Retail 34:13 Conclusion and Final Thoughts

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Ndubuisi_Obirije_30_ai_fraudulent_payments Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction to the Session 0:13 Understanding Social Engineering in Remittance Fintech 2:02 The Role of AI in Fintech 5:07 Financial Crimes and Compliance 7:04 Leveraging AI to Prevent Financial Crimes 7:09 AI in Phishing Detection 7:37 Combating Identity Theft with AI 8:16 Emerging Threats: Deepfakes and More 8:51 Real-World Success Stories 9:52 Understanding Victim Demographics 10:50 The Future of AI in Fraud Prevention 11:47 Key Takeaways and Conclusion 12:39 Final Thoughts and Contact Information

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Mathias_Palmersheim_27_monitoring_monitoring_how Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction to Monitoring 0:46 Personal Journey into Observability 2:31 Challenges with Initial Monitoring Systems 3:04 Implementing Effective Alert Systems 4:07 The Need for Monitoring Your Monitoring 4:41 Deploying Redundant Monitoring Systems 5:01 Ensuring Isolation and Redundancy 6:27 Technical Strategies for Robust Monitoring 7:02 Summary and Best Practices 8:55 Quick and Dirty Monitoring Approaches 9:28 Heartbeat Health Checks: Pros and Cons 10:42 Cloud Vendor Status Pages 11:35 Health Check Services: Self-Hosting vs Cloud Options 13:09 Deploying Independent Monitoring Systems 14:12 Testing and Justifying Monitoring Systems 14:33 Cloud Services for Monitoring 15:40 Dedicated Monitoring Solutions 16:25 Conclusion: Ensuring Effective Monitoring

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Ravi_Theja_Kambhampati_38_network_resilience_scalability Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Agenda Overview 1:20 Introduction to Routing and Switching 2:15 Layer 2 Switching Fundamentals 3:29 Key Technologies in Switching 4:21 Routing Fundamentals and Core Protocols 6:00 Comparing Routing Protocols 6:52 Synergy Between Routing and Switching 7:35 Advanced Network Design Concepts 8:47 Industry Applications of Routing and Switching 9:41 Conclusion and Future Trends

Read the abstract ➤ https://www.conf42.com/Incident_Management_2024_Sijo_Valayakkad_Manikandan_43_forecasting_retail_resilience Other sessions at this event ➤ https://www.conf42.com/im2024 Support our mission ➤ https://www.conf42.com/support Join Discord ➤ https://discord.gg/mvHyZzRGaQ Chapters 0:00 Introduction to Data-Driven Retail 0:30 Speaker Introduction and Background 1:26 Overview of Forecasting in Retail 3:49 Understanding the Retail Value Chain 7:09 The Role of Forecasting in Retail 14:16 Challenges in Retail Forecasting 14:41 Forecasting Horizons and Strategic Planning 21:56 Challenges in Retail Forecasting 24:43 Impact of COVID-19 on Retail 27:27 Forecasting Models Overview 29:31 Statistical Forecasting Techniques 30:48 Machine Learning in Retail Forecasting 33:13 Deep Learning Models for Forecasting 34:49 Implementing Time Series Models 37:33 Case Studies in Retail Forecasting 41:50 Future Trends in Retail Forecasting 46:45 Conclusion and Contact Information