KDnuggets

SEPTEMBER 8, 2023

Time Magazine just released its Time 100 AI list, spotlighting 100 key figures in AI across categories such as leaders and innovators. The list aims to highlight the human effort behind AI advancements. The list serves as a snapshot of how mainstream media views the AI landscape, offering a mix of familiar and new names in the field.

Media 103

Media IT 103

Monte Carlo

SEPTEMBER 8, 2023

In this article: Unlocking the power of data for improved cyber security Custom monitors for operational checks Monitors as Code Get started with these examples Monitoring applications with Monte Carlo and Snowflake Unlocking the power of data for improved cyber security The Tenable One Exposure Management Platform allows organizations to gain a comprehensive view of their attack surface and vulnerabilities to prevent likely attacks and accurately communicate cyber risk.

Kafka 75

Kafka SQL Data Pipeline Database 75

KDnuggets

SEPTEMBER 8, 2023

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 112

Database Data Science NoSQL Relational Database 112

Confluent

SEPTEMBER 8, 2023

At the Sydney tour stop of the Confluent Data in Motion Tour 2023, Kmart’s Principal Architect - Enterprise Technology, Duane Gomes, gave us the lowdown on how the company has used data streaming to power the digital loyalty program OnePass.

Programming 62

Programming Data Technology 62

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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KDnuggets

SEPTEMBER 8, 2023

This revolutionary AI tool lets you create no-code web applications in just seconds!

Coding 116

Coding 116

Confluent

SEPTEMBER 8, 2023

Meet Solutions Engineering Manager Bans Sagoo and learn what got him to Confluent—and how he’s driving better outcomes for customers.

Engineering 62

Engineering Management 62

Precisely

SEPTEMBER 8, 2023

Today’s businesses must operate at a faster pace than ever before. Across every industry, companies are striving to improve their capacity for making data-driven decisions. For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business.

Data Governance 52

Data Governance Government Data Big Data 52

Acceldata

SEPTEMBER 8, 2023

Learn about the new data reliability, data monitoring/alerts, and compute capabilities in Acceldata Data Observability Cloud 2.9.0.

Cloud 52

Cloud Data 52

Towards Data Science

SEPTEMBER 8, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers. Recently, we had an interesting challenge: one of our customers had developed an optimisation algorithm that they wanted to run on a container-based platform in the cloud.

Algorithm 52

Algorithm Architecture Python Designing 52

Towards Data Science

SEPTEMBER 8, 2023

Get more data in less time Photo by Wesley Tingey on Unsplash We live in a world of big data. Often, big data is organized as a large collection of small datasets (i.e., one large dataset comprised of multiple files). Obtaining these data is often frustrating because of the download (or acquisition burden). Fortunately, with a little code, there are ways to automate and speed-up file download and acquisition.

Python 84

Python Datasets Big Data Data Science 84

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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