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The Data-Information-Knowledge-Wisdom Pyramid

Analytics Vidhya

Introduction In today’s information age, data is king. But simply having data is not enough. To truly excel in this data-driven world, we need to be able to transform that data into actionable insights. This is where the DIKW, or Data-Information Knowledge Wisdom Pyramid, comes in.

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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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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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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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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.

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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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AI-powered information management: a catalyst for operational success in the energy industry

CIO Business Intelligence

According to a recent survey by Foundry , nearly all respondents (97%) reported that their organization is impacted by digital friction, defined as the unnecessary effort an employee must exert to use data or technology for work. AI-driven asset information management will play a critical role in that final push toward zero incidents.

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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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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. To meet the needs of the business and the growing number of data consumers, many organizations like GoDaddy are rebooting data governance.

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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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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.