IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

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IBM Journey to AI blog

APRIL 4, 2024

What is private cloud ? Before we examine the pros and cons of a private cloud, here’s a rundown of its essential features and basic cloud architecture components. A private cloud is a cloud computing environment where all resources are isolated and operated exclusively for one organization.

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Dataversity

DECEMBER 3, 2021

As edge cloud computing, AI/ML, and IoT revolutionize computing, many enterprises are considering pulling back on data center operations in favor of cloud-based solutions.

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IBM Journey to AI blog

FEBRUARY 1, 2024

Also consider the cost of hardware refresh and for possible opportunities around on demand cloud computing. Learn more about RISE with SAP The post ManagePlus—your journey before, with and beyond RISE with SAP appeared first on IBM Blog.

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Data Science Blog

NOVEMBER 15, 2023

And that´s why you should host any object-centric data model not in a dedicated tool for analysis but centralized on a Data Lakehouse System. The post Object-centric Process Mining on Data Mesh Architectures appeared first on Data Science Blog.

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Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment.

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Smart Data Collective

MAY 28, 2019

New cloud technology has made big data even more versatile. Cloud applications are changing the accounting profession in exciting ways. The Dynamic Role of Cloud Technology in Accounting. Cloud computing has been around for a few years. Access From Any Device.

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Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

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Dataversity

AUGUST 10, 2022

Organizations across all industries are adopting cloud computing models for their flexible, scalable architectures and globally available solutions. However, these data security solutions require careful management.

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IBM Journey to AI blog

SEPTEMBER 26, 2023

The adoption of cloud technology has gained significant traction for child support agencies with mainframe systems due to its support for operational efficiences and its ability to facilitate on-demand innovation. This approach modernizes systems in cloud-based architectures which enable efficient communication between the microservices.

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IBM Journey to AI blog

FEBRUARY 5, 2024

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.

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IBM Journey to AI blog

FEBRUARY 22, 2024

Additionally, IBM Cloud clients can utilize the advanced confidential computing data security capabilities to protect data even while in use—leveraging virtual servers built on Intel SGX , as well as confidential computing environments provided by IBM Hyper Protect Virtual Servers built on IBM LinuxONE.

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Alation

NOVEMBER 4, 2022

Perhaps you want to boost your ROI or CAGR, or reduce the time your analysts spend accessing and leveraging data. In this blog we’ll describe digital transformation: how it can be achieved as well as how it can benefit your business. How the Data Catalog Supports a Key Digital Transformation Use Case: Cloud Data Migration.

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Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

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IBM Journey to AI blog

OCTOBER 16, 2023

It seeks to address modern challenges like cybercrime, data protection, deepfakes and online safety. Data stored in cloud computing services may be under the jurisdiction of more than one country’s laws. The post Living in a data sovereign world appeared first on IBM Blog.

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phData

OCTOBER 12, 2023

This blog was co-written by Sam Hall and Dakota Kelley In our previous blog , we discussed some ways Fivetran and dbt solve ELT for enterprise data consumption and analytics. As your data organization grows, the scalability of your data platform matters. These allow you to scale your pipelines quickly.

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IBM Journey to AI blog

JULY 31, 2023

Before the internet and cloud computing , and before smartphones and mobile apps, banks were shuttling payments through massive electronic settlement gateways and operating mainframes as systems of record. Complex analytical queries atop huge datasets on the mainframe can eat up compute budgets and take hours or days to run.

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Alation

DECEMBER 14, 2021

This design allows companies to accomplish much of what cloud-native solutions offer but with the benefits of an internal infrastructure. Enterprises that choose to be cloud-ready often build upon their existing investment in computing resources as they begin their transition into cloud computing. Cloud security.

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Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. The future lies in the cloud.

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Alation

DECEMBER 14, 2021

Quick Takes: Cloud Use Cases & Stories. Breakout sessions shared cutting-edge use cases that hint at the future of cloud computing. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability.

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Pickl AI

JULY 12, 2023

Irrespective of the business size, switching to the cloud has become a need of the hour. Hence, in this blog, we will cover extensively all the aspects associated with Cloud Migration Strategies. What is Cloud Migration? The next segment highlights the key benefits of cloud migration and its key features.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Irina has a strong technical background in machine learning, cloud computing, and software engineering. Philips is a health technology company focused on improving people’s lives through meaningful innovation.

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AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse.

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phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

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Dataversity

NOVEMBER 25, 2022

Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently.

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Data Science Blog

MARCH 14, 2023

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Quelle: [link] Small Data wurde zum Fokus für die deutsche Industrie, denn “Big Data is messy!” ” 1 und galt als nur schwer und teuer zu verarbeiten. Retrieved August 1, 2020.

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