CREATE RELIABLE AND LOW-CODE APPLICATION IN SERVERLESS MANNER

Mar 31, 2021Download as PPTX, PDF0 likes2,641 views

In this session, we will discuss a use case where we need to quickly develop web and mobile front end applications which are using several different frameworks, hosting options, and complex integrations between systems under the hood. Let’s see how we can leverage serverless technologies (Azure Functions and logic apps) and Low Code/No code platform to achieve the goal. During the session we will go though the code followed by a demonstration.

CREATE RELIABLE AND LOW-CODE APPLICATION IN SERVERLESS MANNER

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Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
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GitHub - Azure-Samples/azure-sql-db-node-rest-api: REST API using Node, Azure Functions and
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Microsoft Power Apps documentation - Power Apps | Microsoft Docs

Imagine a scenario, where you can launch a video call or chat with an advisor, agent, or clinician in just one-click. We will explore application patterns that will enable you to write event-driven, resilient and highly scalable applications with Functions that too with power of engaging communication experience at scale. During the session, we will go through the use case along with code walkthrough and demonstration.

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𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨? Everyone’s talking about AI but is anyone really using it to create real value? Most companies want to leverage AI. Few know 𝗵𝗼𝘄. ✅ What exactly should you ask to find real AI opportunities? ✅ Which AI techniques actually fit your business? ✅ Is your data even ready for AI? If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.

Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.

Leading AI Innovation As A Product Manager - Michael JidaelMichael Jidael

Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development. In this deck, you'll discover: - What AI leadership means for product managers - The fundamental paradigm shift required for AI product development. - A framework for identifying high-value AI opportunities for your products. - How to transition from user stories to AI learning loops and hypothesis-driven development. - The essential AI product management framework for defining, developing, and deploying intelligence. - Technical and business metrics that matter in AI product development. - Strategies for effective collaboration with data science and engineering teams. - Framework for handling AI's probabilistic nature and setting stakeholder expectations. - A real-world case study demonstrating these principles in action. - Practical next steps to begin your AI product leadership journey. This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.

AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB

I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.

TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc

Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency. This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data. Attendees will learn: - Consumer awareness around data brokers and what consumers are doing to limit data collection - How businesses assess third-party vendors and their consent management operations - Where business preparedness needs improvement - What these trends mean for the future of privacy governance and public trust This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.

Technology Trends in 2025: AI and Big Data AnalyticsInData Labs

At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including: -Artificial Intelligence Market Overview -Strategies for AI Adoption in 2025 -Anticipated drivers of AI adoption and transformative technologies -Benefits of AI and Big data for your business -Tips on how to prepare your business for innovation -AI and data privacy: Strategies for securing data privacy in AI models, etc. Download your free copy nowand implement the key findings to improve your business.