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Unleashing Generative AI in Data Analytics

Analytics Vidhya

Introduction Generative AI enhances data analytics by creating new data and simplifying tasks like coding and analysis. Large language models (LLMs) such as GPT-3.5 empower this by understanding and generating SQL, Python, text summarization, and visualizations from data.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

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The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling

Analytics Vidhya

Introduction Cricket embraces data analytics for strategic advantage. With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses.

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Alteryx Tackles Analytics Ops

David Menninger's Analyst Perspectives

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data.

Analytics 288
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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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How AI orchestration has become more important than the models themselves

CIO Business Intelligence

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 From Llama3.1 to Gemini to Claude3.5

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Combining data integration styles. Sign up now!