databricks

OCTOBER 22, 2024

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

Data 116

Data 116

KDnuggets

OCTOBER 22, 2024

Tired of endless job applications? Discover how AI is transforming the job hunt and helping people land their dream careers with just a single click.

112

112

databricks

OCTOBER 22, 2024

Over the past few months, we’ve been gathering your feedback and focusing on both the quality of Databricks Assistant’s responses and the overall.

108

108

KDnuggets

OCTOBER 22, 2024

With the development of AI technologies and tools, the best one can do for their career is stay ahead of the game and continue to upskill.

Technology 105

Technology 105

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

Engineering at Meta

OCTOBER 22, 2024

Your contact list is fundamental to the experiences you love and enjoy on WhatsApp. With contacts, you know which of your friends and family are on WhatsApp, you can easily message or call them, and it helps give you context on who is in your groups. But losing your phone could mean losing your contact list as well. Traditionally, WhatsApp has lacked the ability to store your contact list in a way that can be easily and automatically restored in the event you lose it.

Consulting 92

Consulting Accessible Accessibility Technology 92

databricks

OCTOBER 22, 2024

Generative AI holds tremendous promise for how organizations unlock value from their data. However, it also comes with a litany of challenges around.

Data Engineering 101

Data Engineering Data Engineer Engineering Data 101

databricks

OCTOBER 22, 2024

Founded in 2017, Logically is a leader in using AI to augment clients’ intelligence capability. By processing and analyzing vast amounts of data.

Process 82

Process Entertainment Media Data 82

KDnuggets

OCTOBER 22, 2024

Utilize these transformation techniques in your data workflow.

Data Workflow 108

Data Workflow Utilities Data 108

Snowflake

OCTOBER 22, 2024

Experimentation tools like A/B tests, Geolift incrementality tests and AI model evaluations have become indispensable for product and marketing teams seeking to optimize their initiatives and drive better business outcomes. By systematically comparing two versions of a product feature, marketing asset or user experience, companies can make data-driven decisions that eliminate the guesswork and, ultimately, the risk of costly mistakes.

Cloud 65

Cloud Media Data Governance Government 65

Confluent

OCTOBER 22, 2024

Join Confluent at AWS GameDay to explore real-time data solutions. Learn how to power your apps with scalable, cloud-native data streaming.

AWS 52

AWS Data Solutions Cloud Data 52

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.

Data

Elder Research

OCTOBER 22, 2024

Small language models (SLMs) can offer a practical and cost-effective starting point for government organizations venturing into AI.

Government 45

Government 45

Towards Data Science

OCTOBER 22, 2024

An industry example to emphasize the importance of understanding your business case Continue reading on Towards Data Science »

Data Science 40

Data Science Data Data Warehouse Data Architecture 40

Cloudera

OCTOBER 22, 2024

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.

Government 77

Government Machine Learning Coding Engineering 77