Pownce Lessons Learned
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This document discusses lessons learned from developing a social messaging application called Pownce over 4 months. It covers choosing technologies like Django, S3, and AIR. It emphasizes doing a lot with a small team, using open source tools, and being kind to databases through caching, queuing, pagination and indexing. The document stresses expecting problems, keeping backups, monitoring data, engaging the community, and preparing for potential growth.
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Discover the power of AI image generation with DALL揃E, an advanced AI model that transforms text prompts into stunning, high-quality visuals. This presentation explores how artificial intelligence is revolutionizing digital creativity, from graphic design to content creation and marketing. Learn about the technology behind DALL揃E, its real-world applications, and how businesses can leverage AI-generated art for innovation. Whether you're a designer, developer, or marketer, this guide will help you unlock new creative possibilities with AI-driven image synthesis.Technology use over time and its impact on consumers and businesses.pptx
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In this presentation, I will discuss how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
Cloud of everything Tech of the 21 century in Aviation
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AI, Block chain, Digital Currency, Cloud, Cloud of Things, Tactile Internet, Digital Twins, IOT, AR, VR, MR, U commerce, data and robotics."
UiPath Automation Developer Associate Training Series 2025 - Session 2
UiPath Automation Developer Associate Training Series 2025 - Session 2DianaGray10
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In session 2, we will introduce you to Data manipulation in UiPath Studio.
Topics covered:
Data Manipulation
What is Data Manipulation
Strings
Lists
Dictionaries
RegEx Builder
Date and Time
Required Self-Paced Learning for this session:
Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
鏝 For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible. What Makes "Deep Research"? A Dive into AI Agents
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About this webinar:
Unless you live under a rock, you will have heard about OpenAIs release of Deep Research on Feb 2, 2025. This new product promises to revolutionize how we answer questions requiring the synthesis of large amounts of diverse information. But how does this technology work, and why is Deep Research a noticeable improvement over previous attempts? In this webinar, we will examine the concepts underpinning modern agents using our basic clone, Deep Searcher, as an example.
Topics covered:
Tool use
Structured output
Reflection
Reasoning models
Planning
Types of agentic memoryFuture-Proof Your Career with AI Options
Future-Proof Your Career with AI OptionsDianaGray10
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Learn about the difference between automation, AI and agentic and ways you can harness these to further your career. In this session you will learn:
Introduction to automation, AI, agentic
Trends in the marketplace
Take advantage of UiPath training and certification
In demand skills needed to strategically position yourself to stay ahead
If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar Patturaj
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.MIND Revenue Release Quarter 4 2024 - Finacial Presentation
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MIND Revenue Release Quarter 4 2024 - Finacial Presentation