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By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. DuckDB is a free, open-source, in-process OLAP database built for fast, local analytics. Josep Ferrer is an analytics engineer from Barcelona.
Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI as a catalyst for actionable insights One of the biggest challenges in digital analytics isn’t just understanding what’s happening, but why it’s happening—and doing so at scale, and quickly. That’s where Gen AI comes in.
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Speaker: Claire Grosjean, Global Finance & Operations Executive
While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise. Human Oversight 🤖 Why people remain a key part of spend management, and how to strike the right balance between AI-driven analytics and human financial expertise.
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With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. To capture the JDBC connection parameters, follow these steps: On the project page, review the connection options under ANALYTICS TOOLS.
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.
As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0
As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights. Heres how they did it.
Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026.
Their guidance promotes the use of machine learning, data aggregation, and real time analytics to enhance detection and reduce system abuse. Conclusion AI and graph analytics are shifting transaction monitoring from static rule engines to intelligent, context-aware systems.
As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0
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By implementing this approach, organizations can build a highly adaptive and resilient analytics pipeline capable of handling extremely frequent Avro schema changes in partitioned S3 environments. It’s flexible, adapting to changing data structures without disrupting existing analytics processes.
The irony is striking: despite unprecedented access to information, many companies struggle to translate their analytical investments into tangible business outcomes. The most impactful analytics doesn't just show trends—it illustrates consequences, opportunities, and human impact. Failure to answer "So what?"
As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!
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NLP Search Analytics Ensures User Adoption! NLP search technology significantly simplifies the user experience and encourages team members to learn and incorporate augmented analytics into their daily activities.’ These days, most people understand the term Natural Language Processing (NLP). Today, this prediction is a reality.
Organizations must often deal with a vast array of data formats and sources in their data analytics workloads. Although protobuf offers advantages in efficient data serialization and transmission, its binary nature poses challenges when it comes to analytics use cases. Our example focuses on streaming ingestion from Amazon MSK.
This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse. This team built data assets with best-in-class productivity and quality through an iterative, automated approach.
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse , simplifying how organizations handle data analytics and AI workflows. This approach uses RMS for storage while maintaining data in the Iceberg format, providing an optimal balance of performance and flexibility.
In this article, we dive into the fascinating world of […] The post Enhancing AI Conversations with LangChain Memory appeared first on Analytics Vidhya. This memory transforms chatbots from simple Q&A machines into sophisticated conversational partners, capable of handling complex topics over multiple interactions.
He is devoted to designing and building end-to-end solutions to address customers data analytic and processing needs with cloud-based, data-intensive technologies. She works with customers around the globe, providing them strategic and architectural guidance on implementing analytics solutions using AWS.
Technically speaking, one of the biggest problems is […] The post Accelerate Machine Learning Model Serving With FastAPI and Redis Caching appeared first on Analytics Vidhya. That’s where latency becomes a real problem.
The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.
5 Free Courses to Master Math for Data Science Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.
Self-Serve, Augmented Analytics IS Suitable for Data Scientists The world of data scientists and business analysts is chock full of data and busier than you might expect – especially today! And there is one other factor at play in the data analytics movement.
Embracing advanced analytics such as AI and machine learning will greatly improve the ability to interpret big data. Technical Skills Data analytics strategies require one to learn specific technical abilities. According to Analytics Insight, knowledge on these subjects seems to be more and more popular in the market.
Performing tasks like this would […] The post Using Maskformer for Images With Overlapping Objects appeared first on Analytics Vidhya. Maskformer is part of another revolution of image segmentation, using its mask attention mechanism to detect objects that overlap their bounding boxes.
Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.
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So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence. It is also essential for the effective application of AI using ML for business-focused planning and budgeting and predictive analytics.
This […] The post Zero-shot Object Detection Using Grounding DINO Base appeared first on Analytics Vidhya. Zero-shot object detection with the Grounding DINO base is another efficient model that allows you to scan through out-of-box images.
Internally, making data accessible and fostering cross-departmental processing through advanced analytics and data science enhances information use and decision-making, leading to better resource allocation, reduced bottlenecks, and improved operational performance. Eliminate centralized bottlenecks and complex data pipelines.
Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. However, the analytics/reporting function needs to drive the organization of the reports and self-service analytics.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.
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