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Swiggy’s Hermes: AI Solution for Seamless Data-Driven Decisions

Analytics Vidhya

Introduction In today’s data-driven world, Swiggy, a leading player in India’s food delivery industry, is transforming how its team accesses and interprets data with Hermes, a generative AI tool. Unlike many […] The post Swiggy’s Hermes: AI Solution for Seamless Data-Driven Decisions appeared first on Analytics Vidhya.

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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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Jumia builds a next-generation data platform with metadata-driven specification frameworks

AWS Big Data

In this post, we share part of the journey that Jumia took with AWS Professional Services to modernize its data platform that ran under a Hadoop distribution to AWS serverless based solutions. These phases are: data orchestration, data migration, data ingestion, data processing, and data maintenance.

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The 3 key pillars of data governance for AI-driven enterprises

CIO Business Intelligence

Data governance has evolved from a compliance necessity to a strategic pillar for AI-driven enterprises. With data volumes exploding across cloud, edge and hybrid environments, traditional governance models, built around static policies and periodic audits, are increasingly ineffective. Dynamic policy engines.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging.

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8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information.

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What We Learned From Our Own Data-Driven ABM Strategy

ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy. In just 90 days, we were able to increase our pipeline by 114% and the customer base for this particular product by 30%.

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5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.

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Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement. This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E

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Buyer’s Checklist: How to Evaluate a B2B Contact Data Provider

Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. Download this eBook and gain an understanding of the impact of data management on your company’s ROI.

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Digitizing Logistics: Harness the Power of Data in 4 Steps

That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.

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The Data Intelligence Glossary for Recruiting and HR Professionals

To build a candidate pipeline and keep the talent flowing into your agencies and organizations, it’s important to understand data-driven recruiting concepts to stay ahead of competitors. In today’s competitive marketplace, doing so is harder than ever.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.