IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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Data Science Blog

JUNE 21, 2023

Cloud-Based infrastructure with process mining? Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. By utilizing these services, organizations can store large volumes of event data without incurring substantial expenses.

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IBM Journey to AI blog

JULY 16, 2024

Mainframe modernization empowers organizations to harness the latest technologies and tools, such as cloud computing, artificial intelligence, machine learning and DevOps, to drive innovation and business growth. These APIs, which can be created using IBM z/OS Connect, can be integrated with Azure API Management.

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IBM Journey to AI blog

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Public cloud infrastructure is a type of cloud computing where a third-party cloud service provider (e.g.,

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Smart Data Collective

JUNE 4, 2021

Probability is the measurement of the likelihood of events. Probability distributions are collections of all events and their probabilities. Anomaly detection is the Identification of unexpected events. This is an unexpected event and a red flag is raised. Probability. It is the building block of statistics.

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IBM Journey to AI blog

DECEMBER 1, 2023

Public cloud is a form of cloud computing where a third-party cloud service provider (CSP)—e.g., Amazon Web Services (AWS), Google Cloud Services, IBM Cloud or Microsoft Azure)—hosts public cloud resources like individual virtual machines (VM) and services over the public internet.

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ODSC - Open Data Science

DECEMBER 1, 2023

We are all familiar with Microsoft and Microsoft Azure , but have you explored their wide range of learning paths, available for free? MLOps End-to-end Machine Learning Operations (MLOps) with Azure Machine Learning In this learning path, you’ll learn how to implement key concepts to build an end-to-end MLOps solution.

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Data Science Dojo

JULY 3, 2024

Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud. Career Support Some bootcamps include job placement services like resume assistance, mock interviews, networking events, and partnerships with employers to aid in job placement.

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ODSC - Open Data Science

AUGUST 31, 2023

Last Spring, OpenAI and Microsoft announced access to ChatGPT through Azure OpenAI Service. This provided AI-powered services through Microsoft’s popular cloud computing platform. Though to access these features, users had to be customers of Microsoft Azure. Interested in attending an ODSC event?

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AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. This event-driven architecture provides immediate processing of new documents.

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Pickl AI

AUGUST 27, 2024

Introduction As the use of cloud computing skyrockets, there has been a steady rise in serverless computing. In this blog, we will delve into the world of serverless computing, exploring its definition, benefits, use cases, challenges, practical implementations, and the future outlook.

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ODSC - Open Data Science

MAY 5, 2023

By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware. As such, here are a few data engineering and data science cloud options to make your life easier.

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IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. Despite its name, a serverless framework doesn’t mean computing without servers.

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IBM Journey to AI blog

NOVEMBER 13, 2023

As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google. Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day.

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IBM Journey to AI blog

AUGUST 12, 2024

Also, with spending on cloud services expected to double in the next four years , both serverless and microservices instances should grow rapidly since they are widely used in cloud computing environments. Microservices applications often have their own stack that includes a database and database management model.

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Pickl AI

AUGUST 8, 2024

One such solution is Desktop as a Service (DaaS), a cloud-based model that delivers virtual desktops to end-users over the internet. Desktop as a Service (DaaS) is a cloud computing service that allows users to access a virtual desktop environment hosted in the cloud.

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ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. Interested in attending an ODSC event? Learn more about our upcoming events here.

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Precisely

JANUARY 2, 2024

Today IBM i systems coexist with network servers, laptops, desktop workstations, mobile devices, and cloud computing environments. It requires multifactor authentication (MFA) using platforms like Okta, RSA, Azure, or Duo. The world has changed.

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IBM Journey to AI blog

JANUARY 29, 2024

Your business needs to be prepared to handle such an event. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider. In a moment’s notice, customer expectations and market conditions can change.

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ODSC - Open Data Science

MAY 25, 2023

We’ll be setting up at Hyatt Regency San Francisco Airport from October 31st to November 3rd for 4 days of hands-on training sessions, workshops, talks, and networking events. Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems.

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Pickl AI

NOVEMBER 4, 2024

Apache Kafka Kafka is a distributed event streaming platform for building real-time data pipelines and streaming applications. Google Cloud Google Cloud provides robust data processing and storage tools, such as BigQuery for analytics and Dataflow for stream and batch processing, making it easier for Data Engineers to manage and analyse data.

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Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. Multi-Cloud Options You can host Snowflake on numerous popular cloud platforms, including Microsoft Azure, Google Cloud, and Amazon Web Services.

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Pickl AI

OCTOBER 3, 2024

Computer Vision : Models for image recognition, object detection, and video analytics. Predictive Analytics : Models that forecast future events based on historical data. These providers are leveraging their expertise in cloud computing and Machine Learning to deliver powerful AIMaaS offerings.

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ODSC - Open Data Science

JULY 11, 2023

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. Not a cloud computer? Alternatives to using a data center: 1.

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The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. The vendor offerings are divided into two classes: GPU Cloud Servers are long-running (but possibly pre-emptible) machines.

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Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. The future lies in the cloud. Automatic sampling to test transformation.

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ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. The utility of data centers for high performance and quantum computing was also described at a high level.

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ODSC - Open Data Science

JULY 25, 2023

Greater adoption of the cloud: With the growth in cloud computing, data centers will increasingly be used to support cloud services, and more companies will adopt cloud services and move their data centers to the cloud. Several factors could make having a data center obsolete, including: 1.

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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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ODSC - Open Data Science

NOVEMBER 2, 2023

Its relevancy to cloud computing provides these boons and more. Transforming Data Center Infrastructure Cloud infrastructure takes up a deceptive amount of physical space despite filling up digital areas. More people utilize cloud services now because of AI integration, meaning data centers have to scale up or fall behind.

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IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. Software as a service (SaaS) applications have become a boon for enterprises looking to maximize network agility while minimizing costs. Predictive analytics.

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ODSC - Open Data Science

SEPTEMBER 12, 2024

Commerce Department has announced a new proposal aimed at enhancing the safety and security of advanced AI technologies and cloud computing services. Stakeholders in the AI and cloud computing industries will need to prepare for increased scrutiny and compliance requirements aimed at safeguarding national and global security.

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