Wed.Nov 13, 2024

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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

Much of the data we have used for analysis in traditional enterprises has been structured data. It’s easy for humans to break down, understand, and, in turn, find insights from it. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

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Robinhood Crypto Expands Offering with Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) for U.S. Customers

Robinhood

Robinhood Crypto’s commitment to expanding access and maintaining a safe, easy-to-use platform deepens with the addition of 4 digital assets Today, Robinhood Crypto announced the addition of Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) to its U.S. platform, bringing the total number of cryptocurrencies available for trading to 19. You can see a full list of crypto assets currently available in the U.S. here.

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7 Ways to Improve Your Data Cleaning Skills with Python

KDnuggets

Improve your Python data cleaning by fixing invalid entries, converting types, encoding variables, handling outliers, selecting features, scaling, and filling missing values.

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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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An Introduction to Graph RAG

KDnuggets

Keys to leverage hidden knowledge relationships in graphs to improve the performance of RAG-based LLMs

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Securing the Future: How AI Gateways Protect AI Agent Systems in the Era of Generative AI

databricks

Generative AI has become a powerful reality, transforming industries by enhancing customer experiences and automating decisions. As organizations integrate AI agent systems into.

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Scaling MATLAB and Simulink models with Databricks and Mathworks

databricks

Whether you’re coming from healthcare, aerospace, manufacturing, government or any other industries the term big data is no foreign concept; however how that.

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Getting Addicted to Coding

KDnuggets

Check out this guide to coding for unmotivated students.

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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.

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Introducing Spotter: ThoughtSpot’s AI Analyst for everyone

ThoughtSpot

Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Presto® Express: Speeding up Query Processing with Minimal Resources

Uber Engineering

Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.

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Creating Dynamic Pivots on Snowflake Tables with dbt

Towards Data Science

Leverage dbt and its advanced scripting functionality to generate dynamic pivot tables that adapt to changing pivot values Continue reading on Towards Data Science »

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What is the Difference Between Microsoft Fabric and Databricks?

Hevo

Data management has evolved from simple table storage to data lakes and warehouses. With organizations handling data in various formats and storage structures, platforms like Microsoft Fabric and Databricks are introduced to use that data more efficiently.

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The Impact of GenAI on Modernizing Food & Beverage Operations

RandomTrees

The food and beverages (F&B) industry has been transformed digitally, resulting from new technology, including GenAI. In short, GenAI is a type of artificial intelligence that is capable of creating content and offering predictions that have transformed the operations of a business in this industry. In this blog, we will look at some of the approaches GenAI has advanced in food and beverage, supported by relevant research statistics as well as real-life experiences and case studies in detail

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Building an Assignment Algorithm - Episode 3 / 3 by Josh Warren

Scott Logic

The third and final post of the series, well done for making it this far! We will look at the last piece of the puzzle - slot sorting, which can make a substantial difference to the outcome of our algorithm. Then we will wrap up - looking at how all the elements of the algorithm discussed in this series come together. You can find the first episode here , and the second episode here.

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Boosting Media & Entertainment Production Efficiency with AI and Cloud

RandomTrees

The media and entertainment sector is being transformed on a new scale owing to technological progression. With artificial intelligence (AI) and the cloud, content production, distribution, and consumption have changed for the better. It’s worth noting that advanced technologies today not only facilitate the production process structure but also improve effectiveness, reduce costs, and create innovativeness.

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Streamlining Data Management with Deletion Vectors Databricks

Hevo

Managing today’s flood of data is not a small task. Every organization is balancing a constant stream of new information with the need to meet regulatory standards, keep data clean and accurate, and avoid using too much storage. The more data you have, the harder it gets to modify or delete.

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Enabling Infinite Retention for Upsert Tables in Apache Pinot

Uber Engineering

With contributions from Uber and others, Apache Pinot™ now supports deletion with upsert tables! Learn how Uber drove these advancements and how you can benefit from cost-efficient infinite retention.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.