CIO Business Intelligence

APRIL 2, 2024

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.

Management 140

Management Digital Transformation Testing Experimentation 140

Analytics Vidhya

APRIL 2, 2024

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 319

Analytics IT 319

KDnuggets

APRIL 2, 2024

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

Deep Learning 151

Deep Learning Machine Learning 151

Analytics Vidhya

APRIL 2, 2024

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

Analytics 318

Analytics IT Machine Learning 318

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

KDnuggets

APRIL 2, 2024

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

141

141

Analytics Vidhya

APRIL 2, 2024

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

Analytics 316

Analytics IT Machine Learning 316

Analytics Vidhya

APRIL 2, 2024

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.

Statistics 315

Statistics Analytics Machine Learning Data Science 315

Smart Data Collective

APRIL 2, 2024

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

Data-driven 118

Data-driven Technology Big Data 118

Analytics Vidhya

APRIL 2, 2024

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?

Analytics 315

Analytics IT 315

AWS Big Data

APRIL 2, 2024

In March 2024, we announced the general availability of the generative artificial intelligence (AI) generated data descriptions in Amazon DataZone. In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

Advertisement

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?

Business Intelligence

Analytics Vidhya

APRIL 2, 2024

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

Risk 301

Risk Technology Analytics IT 301

AWS Big Data

APRIL 2, 2024

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.

Metadata 110

Metadata Marketing Analytics Data Transformation 110

Cloudera

APRIL 2, 2024

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 107

Metadata Measurement Management Enterprise 107

IBM Big Data Hub

APRIL 2, 2024

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.

Data-driven 58

Data-driven Interactive Technology Data Collection 58

Advertisement

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

Dataiku

APRIL 2, 2024

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.

ROI 52

ROI Cost-Benefit 52

CIO Business Intelligence

APRIL 2, 2024

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.

Testing 103

Testing Modeling Data Processing Measurement 103