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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. Similarly, there is a case for Snowflake, Cloudera or other platforms, depending on the companys overarching technology strategy.

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5 tips for transforming company data into new revenue streams

CIO Business Intelligence

Data can be effectively monetized by transforming it into a product or service the market values, says Kathy Rudy, chief data and analytics officer with technology research and advisory firm ISG. User behavior data is one of the most monetizable data types, says Agility Writers Yong, pointing to Google Analytics as an example.

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Building and Implementing Pinecone Vector Databases

Analytics Vidhya

Introduction This article provides an in-depth exploration of vector databases, emphasizing their significance, functionality, and diverse applications, with a focus on Pinecone, a leading vector database platform. Additionally, […] The post Building and Implementing Pinecone Vector Databases appeared first on Analytics Vidhya.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO Business Intelligence

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality. These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value.

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Embedded Analytics: A Force Multiplier for Business

The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.