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AI Apps Product Development Canvas – Part 1 - DataScienceCentral.com

Flipboard

AI Apps are domain-infused, AI/ML-powered applications that continuously learn and adapt with minimal human intervention in helping non-technical users manage data and analytics-intensive operations to deliver well-defined operational outcomes.

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The Five Step Playbook to Move GenAI into Production

insideBIGDATA

In this contributed article, Josh Reini, Developer Relations Data Scientist, TruEra, discusses how gaining the required confidence to deploy GenAI apps at scale can be challenging, and structured evaluation has gained recognition as a key requirement on the path from science experiment to customer value.

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Stashpad launches Google Docs alternative you can use without any login

Hacker News

Stashpad, a developer-focused “DM to yourself”-styled notebook app, is now pivoting to a docs app that you can use without logging in. The company will still maintain its original notes app and call it “Stashpad Lists.” The product is […]

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10 Stages of the software development lifecycle for startups

Dataconomy

Creating apps for startups is primarily the carefully thought-out tasks that make up the software development process. Let’s take a closer look at the key stages of software development for startups. The main stages of the software development life cycle include: 1. Idea Any software development starts with an idea.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Microsoft Invests in No-Code App Builder Builder.ai

Analytics Vidhya

Microsoft has announced its investment in Builder.ai, a London-based no-code app builder that uses artificial intelligence (AI) to break down software development into reusable Lego-like features. The tech giant has not disclosed the amount of its equity investment. appeared first on Analytics Vidhya.

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Dify, a visual workflow to build/test LLM applications

Hacker News

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. langgenius/dify

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. This framework explains how application enhancements can extend your product offerings. How much value could you add? Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.