Tue.Apr 02, 2024

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures.

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All of the Python Keywords You Need to Know

Analytics Vidhya

Introduction Programmers often prefer Python due to its easy-to-read syntax and friendliness towards beginners. However, hiding underneath is a strong word collection that controls how your code works: keywords. These specific words are important in the Python interpreter, serving as the foundational elements for developing strong programs. As bricks build a house, keywords are the […] The post All of the Python Keywords You Need to Know appeared first on Analytics Vidhya.

Analytics 309
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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

Metadata 101
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Python Membership and Identity Operators: Understanding the Basics

Analytics Vidhya

Introduction Unlocking the potential for intuitive and expressive code, operator overloading in Python stands as a cornerstone of flexibility and customizability. It empowers developers to infuse their classes with operator semantics, bridging the gap between abstract concepts and concrete implementations. By reimagining operators such as +, -, *, or and within custom classes, Python transcends […] The post Python Membership and Identity Operators: Understanding the Basics appeared first o

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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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A Beginner’s Guide to the Top 10 Machine Learning Algorithms

KDnuggets

Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!

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Here’s All About the Operator Overloading in Python

Analytics Vidhya

Introduction Unlocking the potential for intuitive and expressive code, operator overloading in Python stands as a cornerstone of flexibility and customizability. It empowers developers to infuse their classes with operator semantics, bridging the gap between abstract concepts and concrete implementations. By reimagining operators such as +, -, *, or within custom classes, Python transcends conventional […] The post Here’s All About the Operator Overloading in Python appeared first o

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One-Way and Two-Way Analysis of Variance (ANOVA)

Analytics Vidhya

Introduction A reliable statistical technique for determining significance is the analysis of variance (ANOVA), especially when comparing more than two sample averages. Although the t-distribution is adequate for comparing the means of two samples, an ANOVA is required when working with three or more samples at once in order to determine whether or not their […] The post One-Way and Two-Way Analysis of Variance (ANOVA) appeared first on Analytics Vidhya.

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Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose

AWS Big Data

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc. By default, CloudWatch Logs are delivered as gzip-compressed objects.

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How to Build a Calorie Advisor App Using GenAI?

Analytics Vidhya

Introduction Artificial Intelligence has many use cases, and some of the best ones are in the Health Industry. It can really help people maintain a healthier life. With the increasing boom in generative AI, certain applications are made these days with less complexity. One very useful application that can be built is the Calorie Advisor […] The post How to Build a Calorie Advisor App Using GenAI?

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The Only Interview Prep Course You Need for Deep Learning

KDnuggets

Dive into the 50 most popular deep-learning questions to get you ready for your interview.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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OpenAI Develops New Voice Cloning AI; Halts Release Due to Risk of Misuse

Analytics Vidhya

OpenAI’s latest advancement, Voice Engine, is reshaping the landscape of voice cloning technology. This new AI tool holds immense potential as it can replicate a person’s voice from a mere 15-second audio sample. However, such generative AI technology comes with concerns of misuse and ethical considerations. Hence, OpenAI has opted for a cautious approach, limiting […] The post OpenAI Develops New Voice Cloning AI; Halts Release Due to Risk of Misuse appeared first on Analytics

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The Future of Data-Driven Web Development: Trends and Technologies

Smart Data Collective

Big data has led to major breakthroughs in the web development profession in recent years.

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5 Common Python Gotchas (And How To Avoid Them)

KDnuggets

Explore some of Python’s sharp corners by coding your way through simple yet helpful examples.

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The winning combination for real-time insights: Messaging and event-driven architecture

IBM Big Data Hub

In today’s fast-paced digital economy, businesses are fighting to stay ahead and devise new ways to streamline operations, enhance responsiveness and work with real-time insights. We are now in an era defined by being proactive, rather than reactive. In order to stay ahead, businesses need to enable proactive decision making—and this stems from building an IT infrastructure that provides the foundation for the availability of real-time data.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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413% ROI With Dataiku

Dataiku

More than 600 companies worldwide use Dataiku, bringing together experts from across their organizations for faster time to value on data and AI projects. But how much faster is faster? And what other cost savings and benefits does Dataiku drive? Forrester: The Total Economic Impact™ Of Dataiku has quantified answers.

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US and UK sign agreement to test the safety of AI models

CIO Business Intelligence

The US and the UK have signed an agreement to test the safety of large language models (LLMs) that underpin AI systems. The agreement or memorandum of understanding (MoU) — signed in Washington by US Commerce Secretary Gina Raimondo and UK Technology Secretary Michelle Donelan on Monday — will see both countries working to align their scientific approaches and working closely to develop suites of evaluations for AI models, systems, and agents.

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