iPitch @ iStrategy Miami - Keith Smith w/BigDoor
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This document discusses how BigDoor uses gamification to increase customer acquisition, engagement, and retention for its clients. It outlines challenges like low registration and engagement rates. BigDoor addresses these through gamified onboarding, directed engagement like weekly challenges, and social competitions to drive retention. These solutions increased registration from 2% to 6%, page views from 7 to 13, and monthly visits from 2 to 2.7.
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BigDoor is a company that uses game mechanics like virtual rewards to increase user engagement on websites. Their approach involves rewarding users with prestige, recognition, virtual currency or goods to encourage more posting, liking, sharing and other behaviors. For one client, Devhub.com, BigDoor doubled the percentage of users posting blogs and increased average user actions from 4 to 12 after implementing their system. It also led to a 30% increase in virtual goods sales. BigDoor has seen success in domains like fitness/wellness and works with clients like MLB.com to boost user engagement and monetization through gamification.
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Gamification can be used to improve customer loyalty and engagement by implementing solutions like onboarding, creating a sense of yearn, rewarding customers, encouraging social sharing, and repeating the process. The document discusses how most websites only see median results of 1.5 visits per month and 5 pageviews per visit, showing users are neither loyal nor engaged. It presents gamification through a company called BigDoor as a solution, outlining their platform and growth, and detailing their four-part approach of onboarding users, creating yearn, rewarding customers, and encouraging social interactions to boost loyalty and engagement.
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BigDoor is a company that uses game mechanics like virtual rewards to increase user engagement on websites. Their approach involves rewarding users with prestige, recognition, virtual currency or goods to encourage more posting, liking, sharing and other behaviors. For one client, Devhub.com, BigDoor doubled the percentage of users posting blogs and increased average user actions from 4 to 12 after implementing their system. It also led to a 30% increase in virtual goods sales. BigDoor has seen success in domains like fitness/wellness and works with clients like MLB.com to boost user engagement and monetization through gamification.
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Gamification can be used to improve customer loyalty and engagement by implementing solutions like onboarding, creating a sense of yearn, rewarding customers, encouraging social sharing, and repeating the process. The document discusses how most websites only see median results of 1.5 visits per month and 5 pageviews per visit, showing users are neither loyal nor engaged. It presents gamification through a company called BigDoor as a solution, outlining their platform and growth, and detailing their four-part approach of onboarding users, creating yearn, rewarding customers, and encouraging social interactions to boost loyalty and engagement.
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Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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WeTestAthens: Postman's AI & Automation Techniques
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JavaLand 2024: Application Development Green Masterplan
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
iPitch @ iStrategy Miami - Keith Smith w/BigDoor
- 1. GAMIFIED LOYALTY AND REWARDS Keith Smith| Co-Founder & CEO | keith@bigdoor.com| @ChiefDoorMan
- 2. 4/24/2013 BigDoor 2 BIGDOOR POWERS GAMIFIED REWARD PROGRAMS THAT INCREASE CUSTOMER ACQUISITION, ENGAGEMENT & RETENTION
- 3. The Challenge Registration Rate: 2% Page Views per User/Month: 7 Site Visits per User/Month: 2 4/24/2013 BigDoor 3 Increase these 3 metrics!
- 4. 1. Acquire “What’s in it for me?” 4/24/2013 BigDoor 4
- 5. Value Based Onboarding 4/24/2013 BigDoor 5
- 6. A Reason To Register 4/24/2013 BigDoor 6
- 7. Percent of UsersWho Login 0% 1% 2% 3% 4% 5% 6% Before After Registration
- 8. 2. Engage “What should I do next?” 4/24/2013 BigDoor 8
- 9. Directed User Engagement 4/24/2013 BigDoor 9
- 12. Progression As Direction 4/24/2013 BigDoor 12
- 13. Page &VideoViews Per User/Month - 2 4 6 8 10 12 14 Before After Pageviews
- 14. 3. Retain “Why should I come back?” 4/24/2013 BigDoor 14
- 15. Badges & Social Competition 4/24/2013 BigDoor 15
- 17. All About Rewards 4/24/2013 BigDoor 17
- 18. Experiences Usually Trump Stuff 4/24/2013 BigDoor 18
- 19. On Brand & Relevant Rewards 4/24/2013 BigDoor 19
- 21. The Summary Registration Rate: 2% Now 6% Page Views per User/Month: 7 Now 13 Site Visits per User/Month: 2 Now 2.7 4/24/2013 BigDoor 21
- 22. Questions? Keith Smith| Co-Founder & CEO | keith@bigdoor.com| @ChiefDoorMan GAMIFIED LOYALTY AND REWARDS