Remove Artificial Inteligence Remove Google Cloud Remove Machine Learning Remove Serverless
article thumbnail

Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

article thumbnail

Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. The allure of such a system for enterprises cannot be overstated, Lee says. “We

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

article thumbnail

Incorta and Google Cloud: Unleashing the Power of Data in BigQuery

Perficient

Once the data is ingested into BigQuery companies have a serverless enterprise data lake that works across clouds and supports real-time analytics and machine learning. Download the guide, Becoming a Data-Driven Organization with Google Cloud Platform , to learn more about Dr. Chuck’s GCP data strategy.

article thumbnail

AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Google Cloud Platform Overview.

article thumbnail

Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

Joe Lowery here, Google Cloud Training Architect, bringing you the news from the Day 2 Keynote at the Google Cloud Next ’19 conference in San Francisco. Cloud SQL for Microsoft SQL Server and Managed Services for Active Directory. Cloud Data Fusion. Greetings one and all! Traffic Director.

article thumbnail

Why You Want To Use Looker Studio For Data Visualization on BigQuery

Perficient

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111