We're thrilled to announce AI anomaly detection for SQL Server! AI anomaly detection is efficient to deploy and can produce better coverage than relying on manual SQL queries with predefined thresholds to detect bad data in SQL Server. Learn why an AI-first approach to detection can help deliver more reliable data within the modern enterprise: https://lnkd.in/eC66HvCs #dataobservability #dataquality #SQL #AI #dateengineering
Monte Carlo’s Post
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Forget Equity and Explainability in ML. First you need to get clean and appropriate data. Ask people who have dealt with real production data. Null, missing values are run of the mill. Columns get added, moved or modified from one software version to the next. Guess what happens with older data? Augmentation and synthetic data may be needed. Dirty data can stop any AI/ML effort dead on its tracks!
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Marketing Executive | B2B SaaS GTM Specialist | Product-Led Growth Expert | Digital Innovator | Brand Storyteller | Community Builder
Building generative AI apps with vector search? Refer to this The Economic Times article by Abhinav Srivastava to learn how to store and search vector data with different databases, and why SingleStore DB is your best choice. SingleStore DB is a multi-model SQL database that supports vector search along with transactions, analytics, and unstructured data. It also has advanced features like exact nearest neighbor vector search and indexed vector search. #generativeAI #vectorsearch #developer #database
Why a vector database is critical for your Generative AI strategy and how to choose one that's right for you
cio.economictimes.indiatimes.com
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Integrating AI and machine learning solutions that rely on SQL databases for data storage and retrieval may require performance optimization and scalability enhancements. https://palin.co.in/ #sql
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Idea Meritocracy Culture ftw | Almost qualified YC (W24 Top 10%) | Prev. first PM hire at Chargebee | B2B SaaS & AI/Data Analytics
Thought experiment: How would apps created in the time of Big Data (2010-2021?) fare against the AI apps with AGI powers inbuilt? The shift from a #ModernDataStack to AI with AGI capabilities signals a fresh phase in data engineering, analytics and reporting. With pre-trained models rapidly evolving - need for data gathering, cleansing, and training diminishes. AI algorithms can now answer, respond and implement instructions in seconds. Question how quickly can the transition happen and what does the journey look like? -- ThoughtSpot, MotherDuck, MongoDB, PostgresML, Cube, Julius AI - would love to hear your thoughts/views. #datascience #agi #ai
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Generative AI and LLMs are revolutionizing data querying by enabling intuitive, natural language interactions with databases. These technologies interpret user queries and convert them into precise SQL commands, facilitating more accessible and efficient data access. The recent launch of Celigo’s embedded AI capabilities marks a significant advancement, enhancing NLP-based flows within the platform and promising increased efficiency and innovation in data interactions. Learn how you can use AI to easily manage data processes, including data extraction, transformation, and loading by clicking the video below: https://lnkd.in/gZdvxVWD #Celigo #iPaaS #Integration #Automation #API #SaaS #Cloud #Data #Enterprise #Tech #Technology #ERP #DigitalTransformation #Software #AI #SQL
How To: Text to SQL Access Databases with No Code AI Solutions
https://www.youtube.com/
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One of the quickest and easiest ways to boost the performance of machine learning models is Graph Feature Extraction. Here is a Medium article I wrote. Please get in touch if you want to find out more. https://lnkd.in/eqUFdQqW #machinelearning #graph #datascience
ML Graph Feature Extraction
medium.com
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Useful AI Tool for 𝐒𝐐𝐋 𝐐𝐮𝐞𝐫𝐢𝐞𝐬 - 𝐀𝐈 𝐡𝐞𝐥𝐩𝐞𝐫 𝐛𝐨𝐭 AI generates, explains, and optimizes SQL queries for you. No SQL knowledge is required Easy to use. https://aihelperbot.com/
FREE AI SQL Query Generator
aihelperbot.com
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SAS Viya elevates everyone ⬆️🧑🤝🧑 The analytics platform creates a shared space where all user types – Data Scientists, Business Analysts, and IT – can work together. ⚪ ⚪ ⚪ Whether by code or drag-and-drop, they can create best-in-class AI models using the coding language of their choice, including open source, and open data formats. From statistics to computer vision, experts across a wide range of disciplines can use and combine a variety of techniques on one platform. Read more about the integration of SAS Viya: https://lnkd.in/g_R_3GQs #SASViya #AI #Analytics
Integration with SAS Viya
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SAS Viya elevates everyone ⬆️🧑🤝🧑 The analytics platform creates a shared space where all user types – Data Scientists, Business Analysts, and IT – can work together. ⚪ ⚪ ⚪ Whether by code or drag-and-drop, they can create best-in-class AI models using the coding language of their choice, including open source, and open data formats. From statistics to computer vision, experts across a wide range of disciplines can use and combine a variety of techniques on one platform. Read more about the integration of SAS Viya: https://lnkd.in/g_R_3GQs #SASViya #AI #Analytics
Integration with SAS Viya
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