Wed.Jul 17, 2024

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The Role of AI in Digital Marketing

KDnuggets

Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.

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Unlocking True Water Risk Assessment Worldwide

databricks

Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.

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Testing Like a Pro: A Step-by-Step Guide to Python’s Mock Library

KDnuggets

Explore Python's mock library for seamless testing—replace real objects with mocks, perfect for isolating and verifying your code's behavior.

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Real Estate Price Prediction: Harnessing Machine Learning

WeCloudData

Discover how machine learning revolutionizes real estate price prediction, overcoming biases and empowering data-driven decisions. Harness AI for accurate market analysis and secure your dream home investment. The post Real Estate Price Prediction: Harnessing Machine Learning appeared first on WeCloudData.

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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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Understanding DevOps Teams Structure and Its Types

Edureka

Combining development (Dev) and IT operations (Ops) together can be perceived as a revolutionary collaborative approach. However, this collaboration demands the presence of authorised professionals who can add efficiency and finesse to any project. This is where a skillfully created DevOps team comes into play. The cross-functional deployment of carefully selected development and operations experts is necessary to make a DevOps project successful.

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How to Become a Data Engineer (2024 Guide) 

WeCloudData

Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. Every enterprise is transforming in the direction of digitalization. For enterprises, data is full of infinite value. For all the data requirements of organizations, the first thing they need to do is to […] The post How to Become a Data Engineer (2024 Guide) appeared first on WeCloudData.

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Fundamentals of Geospatial Data Analysis

DareData

In Geospatial Data Analysis, the primary objective is to pose the right questions, leveraging geographic principles to gain insightful answers. Analysts will visualise and decipher patterns through maps while trying to answer those questions. When exploring Geospatial questions, it is also essential to consider temporal aspects. Changes in spatial information over time can reveal a lot of relevant information.

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12 Major Ethical Issues in Information Technology

Edureka

Table of Contents: What is an ethical issue in information technology? What are the Ethical Issues of Information Systems? Conclusion FAQs What is an ethical issue in information technology? Ethical issues in information technology represent an area of concern that addresses questions and concerns regarding the moral use or application of IT. These points emerge when innovation disrupts virtues in the community and liberty of individuals in a particular society.

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Parquet File Format: Everything You Need to Know

Towards Data Science

New data flavors require new ways of storing them.

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From Potential Disaster To Driver of Change… Data Execs Share Their Journeys To Effective AI

Snowflake

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner® Hype Cycle for Artificial IntelligenceI, 2023 1.

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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.