Create new apps 3x faster and look cool doing it. A lack of production-ready data pipelines is the second-most-cited reason for AI project failure. Unravel enables you to create new apps 3x faster with AI insights that provide detailed actions to improve code, SQL, partitioning, and infrastructure before deploying to production. Be confident your data apps will meet SLAs. Learn more: https://lnkd.in/gCT5GZwc #MeetSLAs #Data #DataPipelines #AI #ModernDataStack #DataObservability #Observability
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Meet SingleStore Pro Max, the data platform on 24 Jan. Supercharge your data analytics, accelerate building real time modern apps, leverage the power of AI. Don't miss out register now! #analytics #SingleStoreProMax #data #developers #database #dataplatform
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Best aspects of software development for AI researchers to focus on for the next two years! Test suite generation, results analysis, and test harness coverage and ga-/risk analysis. Also software fault injection and automation of log analysis and configuration of telemetry monitoring systems (including performance benchmarking). The results of those efforts are easily measurable and quantifiable. Thus they're useful to the projects under test AND to the AI research and development efforts. They can also fill in for the slow decline in software quality assurance that's been going on for decades as well as the dearth of QA expertise. (It's been perceived by many as a dead end career path forever). Doing this will also build a foundation upon which improvements in automation code generation of the products themselves can be built by ensuring that hallucinations will be identified and isolated quickly. A broken test shows up as a failure when run against correct code. So the test generation automation is mostly protected from trivially bad tests. Fuzz testing is also cheaper and can be far more extensive using AI driven fuzzing tools. So the main risks are code coverage and use-case requirements gaps. But much of the time/effort that was formerly expended by existing QA staff can be shifted to gap analysis and behaviorally/test driven development. Given good test suites and performance telemetry in a reliable harness, broken production code triggers test failures and performance or reliability alerts continuously through development efforts. It's a compelling narrative.
80% of respondents to our 2024 #Developer Survey said in the next year testing code will be one of the top tasks that developers will use AI tools to tackle. Our team spoke to a few tech experts to get their take: https://lnkd.in/eEcJyFaP
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Supercharge your productivity with Microsoft Fabric's Copilot for Data Warehouse! Meet your new paired programmer, Copilot, designed to seamlessly integrate with your data warehouse and leverage generative AI to deliver intelligent insights, streamline operations, and enhance productivity. Here's how: Simplified Database Development: Copilot automates and simplifies key aspects of data management, helping you prepare, organise, model, secure, and query your data with confidence. Copilot Q&A for SQL Developers: Tackle data preprocessing with ease! Use natural language in the chat pane to get guidance on filtering, transforming, and joining data. Transform your data management experience with Copilot for Data Warehouse. Read on for more: https://lnkd.in/eEFHwFvx #MicrosoftFabric #DataWarehouse #Productivity #AI #DataManagement #SQL #TechInnovation #PairedProgramming #GenerativeAI
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There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/s9i650TsZf0
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Generative AI | SaaS | PaaS | Real-Time Apps | Customer Experience | AI Consulting
There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/XvY050Tsi8M
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Experienced builder of teams, products and GTM operations. Servant leader who excels at maximising execution excellence and setting out a clear vision to empower teams to succeed.
There is no AI without data and in particular *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/44Fk50TyQY2
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There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/50wY50TuHJS
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DataStax | Generative AI Developer | Quantum Machine Learning Researcher | PhD Student @ Western Michigan University | Co-Founder HAILabs | OpenSource Contributor
There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/v1Rq50TurGS
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HVM Sales Leader | Leadership | Sales Management | AI | Sales Operations | Customer Success | Coach
There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/oBIr50TsY9C
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There is no AI without *unstructured* data. Learn how DataStax's partnership and deep integrations with #Unstructured can help developers seamlessly prepare their data for use in RAG applications. https://ow.ly/GWk150TrLiw