Analytics

The Key to Unlocking QSR Growth

Nov 6, 2024 By Keboola In Keboola

Authors: Martin Fiser, Field CTO at Keboola, and Martin Lepka, Industry Solutions at Keboola The Quick Service Restaurant (QSR) industry sits on a goldmine of data, yet many brands are only scratching the surface with their analytics. Locked within siloed Point-of-Sale (POS) systems across individual franchisees, this data remains underutilized rather than being put to work.

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What is Natural Language Processing (NLP)? A Beginner's Guide

Nov 6, 2024 By Yellowfin Team In Yellowfin

The way we interact with computers and digital systems has come a long way. Gone are the days of cryptic commands and rigid syntax; today, we can speak naturally to our devices, ask questions in complete sentences, and even have (somewhat) intelligent conversations with chatbots. This transformation is largely thanks to a fascinating field of artificial intelligence (AI) called natural language processing (NLP).

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KPIs for Cost Management: Evaluating Costs in Databricks

Nov 5, 2024 By Unravel In Unravel

Precise cost forecasting and management are essential, yet 80% of data management experts struggle (Forrester). The challenges stem from a lack of granular visibility, siloed data, and the absence of AI-driven predictive tools.Discover your new set of metrics to understand and optimize your spending with Unravel Data. Watch this Weekly Walkthrough series, FinOps Metrics that Matter, to understand these core metrics to speak the language of both finance and data engineering, and bridge the gap between technical and business stakeholders.

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A practical guide to synthetic data generation with Gretel and BigQuery DataFrames

Nov 5, 2024 By Jiaxun Wu In Google BigQuery

In this tutorial, learn how to use Gretel to generate synthetic data with BigQuery DataFrames, a Python client for BigQuery.

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Turbocharging Atlas: How we reduced server initialization time to less than 2 minutes

Nov 5, 2024 By Indresh Gupta In ThoughtSpot

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

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Why CSPs Should Consider Using GPU-as-a-Service

Nov 4, 2024 By Erez Schnaider In ClearML

When it comes to building AI models, the process is often oversimplified as “just get a GPU and start building.” While securing access to GPUs can be a challenge, gaining access to GPU clusters is only the beginning of the journey. The real complexity lies in effectively leveraging GPU capabilities to deliver meaningful business impact.

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Unlocking Faster Insights: How Cloudera and Cohere can deliver Smarter Document Analysis

Nov 4, 2024 By Kevin Talbert In Cloudera

Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “Document Analysis with Command R and FAISS”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).

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Top 15 Social Media Analytics Tools for 2025

Nov 3, 2024 By Databox In Databox

Managing social media isn’t just about posting content—it’s about measuring what works, improving what doesn’t, and driving real results. But when you’re flooded with likes, shares, comments, and a handful of other metrics, it’s tough to figure out what’s actually working. Social media analytics tools cut through the clutter.

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MLRun v1.7 Launched - Solidifying Generative AI Implementation and LLM Monitoring

Nov 1, 2024 By Gilad Shaham In Iguazio

As the open-source maintainers of MLRun, we’re proud to announce the release of MLRun v1.7. MLRun is an open-source AI orchestration tool that accelerates the deployment of gen AI applications, with features such as LLM monitoring, fine-tuning, data management, guardrails and more. We provide ready-made scenarios that can be easily implemented by teams in organizations.

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