Precisely

MAY 20, 2024

Cloud computing is more crucial than ever in 2024. With technology landscapes transforming at a breakneck pace, your ability to leverage cloud computing could be the game changer needed to boost efficiency and spark innovation in your business. Hybrid and multi-cloud adoption : The future is now, and it’s hybrid.

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. In Data Science in a Cloud World, we explore how cloud computing has revolutionised Data Science.

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Towards AI

DECEMBER 26, 2024

4 Things to Keep in Mind Before Deploying Your ML Models This member-only story is on us. Source: Image By Author As a Cloud Engineer, Ive recently collaborated with a number of project teams, and my primary contribution to these teams has been to do the DevOps duties required on the GCP Cloud. Upgrade to access all of Medium.

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Flipboard

FEBRUARY 11, 2025

By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution. He is passionate about helping organizations leverage the full potential of cloud computing to drive innovation in generative AI and machine learning.

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Pickl AI

JANUARY 9, 2025

Summary: Cloud computing security architecture is essential for protecting sensitive data, ensuring compliance, and preventing threats. As technology advances, AI, machine learning, and blockchain play vital roles in strengthening cloud security frameworks to safeguard businesses against evolving risks. from 2024 to 2030.

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Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

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Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2.

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Data Science Dojo

FEBRUARY 20, 2023

Machine learning (ML) is the technology that automates tasks and provides insights. It comes in many forms, with a range of tools and platforms designed to make working with ML more efficient. It features an ML package with machine learning-specific APIs that enable the easy creation of ML models, training, and deployment.

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Pickl AI

MARCH 1, 2023

What is Cloud Computing? Cloud computing is a way to use the internet to access different types of technology services. The term “cloud computing” was first used in a paper by computer scientist and mathematician Ramnath Chellappa in 1997.

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Cloud Computing Internet of Things Database Artificial Intelligence 52

Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results. Is ML engineering a stressful job?

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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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AWS Machine Learning Blog

NOVEMBER 26, 2024

The AWS Neuron Monitor container , used with Prometheus and Grafana, provides advanced visualization of your ML application performance. To learn more about setting up and using these monitoring capabilities, see Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container.

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Pickl AI

JULY 11, 2024

Summary: Platform as a Service (PaaS) offers a cloud development environment with tools, frameworks, and resources to streamline application creation. Introduction The cloud computing landscape has revolutionized the way businesses approach IT infrastructure and application development.

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Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). Customers can benefit from the people-centric security solutions offered by Gamma AI’s AI-powered cloud DLP solution. How to use Gamme AI?

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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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AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

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Applied Data Science

AUGUST 2, 2021

Machine Learning In this section, we look beyond ‘standard’ ML practices and explore the 6 ML trends that will set you apart from the pack in 2021. Give this technique a try to take your team’s ML modelling to the next level. Explainable ML When modelling business process, the why is often more important than the what.

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Dataconomy

SEPTEMBER 1, 2024

In this era of modern business operations, cloud computing cannot be overlooked, thanks to its scalability, flexibility, and accessibility for data processing, storage, and application deployment. This raises a lot of security questions about the suitability of the cloud. These two intersect in many ways discussed below.

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Flipboard

FEBRUARY 13, 2025

AI/ML engineers would prefer to focus on model training and data engineering, but the reality is that we also need to understand the infrastructure and mechanics […]

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The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. Model monitoring and performance tracking : Platforms should include capabilities to monitor and track the performance of deployed ML models in real-time.

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Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. AI and ML can streamline various business processes and help maximize your returns margins. But all that changed when cloud computing happened.

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AWS Machine Learning Blog

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. We work together with your team and your chosen member of the AWS Partner Network (APN) to implement your enterprise cloud computing initiatives.

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Mlearning.ai

APRIL 28, 2023

But there are some strategies that artificial intelligence(AI) developers can implement to optimize and decrease execution time for Python machine learning (ML) models, for instance: Using binary formats for saving models Saving machine learning models in binary formats like .pkl, Photo by depositphotos Binary formats in ml models like .pkl,

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ML ML Python Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

AWS AI and machine learning (ML) services help address these concerns within the industry. AI/ML on AWS AI and ML have been a focus for Amazon for over 25 years, and many of the capabilities customers use with Amazon are driven by ML. These capabilities are built using the AWS Cloud. Vineet Kachhawaha is a Sr.

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Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. GitHub serves as a centralized location to store, version, and manage your ML code base.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

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Machine Learning Machine Learning ML ML 129

IBM Journey to AI blog

JANUARY 30, 2024

Multicloud architecture not only empowers businesses to choose a mix of the best cloud products and services to match their business needs, but it also accelerates innovation by supporting game-changing technologies like generative AI and machine learning (ML). What is multicloud architecture?

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AWS Machine Learning Blog

MAY 3, 2023

New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. inference for Arm-based processors. is up to 3.5

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Data Science Connect

JULY 28, 2023

Integrating AI and ML for Advanced Analytics Integrating AI and machine learning algorithms into IoT data engineering allows for advanced analytics and predictive modeling, enabling IoT devices to learn from data patterns and optimize their functionality.

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Internet of Things Data Engineering Data Engineer Data Engineering 130

AWS Machine Learning Blog

FEBRUARY 21, 2025

For this post, we have two active directory groups, ml-engineers and security-engineers. We test the access of two users, John Doe and Jane Smith, who are users of the ml-engineers group and security-engineers group, respectively. You can retrieve the user name and password for each user from Secrets Manager.

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O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Next up is compute power.

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Precisely

APRIL 11, 2024

As a Technical Architect at Precisely, I’ve had the unique opportunity to lead the AWS Mainframe Modernization Data Replication for IBM i initiative, a project that not only challenged our technical capabilities but also enriched our understanding of cloud integration complexities.

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Dataconomy

JULY 17, 2023

The experts at Appinventiv leverage their industry knowledge and cutting-edge digital tools, such as AI, cloud computing, and data analytics, to enable organizations to fully unlock the power of IoT.

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Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

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Dataconomy

SEPTEMBER 12, 2023

Finally, server virtualization provides a foundation for cloud computing by allowing you to build private, public, or hybrid clouds using your existing virtualization infrastructure. This can help you take advantage of the benefits of cloud computing while maintaining control over your IT infrastructure.

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