Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

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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. As the global cloud computing market is projected to grow from USD 626.4

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Adrian Bridgwater for Forbes

DECEMBER 1, 2022

What businesses need from cloud computing is the power to work on their data without having to transport it around between different clouds, different databases and different repositories, different integrations to third-party applications, different data pipelines and different compute engines.

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AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. Historically, AWS Health Equity Initiative applications were reviewed manually by a review committee. It took 14 or more days each cycle for all applications to be fully reviewed.

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AWS Machine Learning Blog

MARCH 18, 2025

With this launch, you can now deploy NVIDIAs optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS. As part of NVIDIA AI Enterprise available in AWS Marketplace , NIM is a set of user-friendly microservices designed to streamline and accelerate the deployment of generative AI.

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Flipboard

JULY 26, 2023

today announced the general availability of AWS Entity Resolution, a service designed to help companies organize their data … Amazon Web Services Inc.

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Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions.

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Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Discover how each impacts industries like data science and make smarter tech decisions. Ideal for beginners and tech enthusiasts exploring modern computing trends. What Exactly 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. Therefore, AWS can help lower the workload carbon footprint up to 96%.

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Pickl AI

FEBRUARY 10, 2025

Summary: This blog provides an in-depth look at the top 20 AWS interview questions, complete with detailed answers. Covering essential topics such as EC2, S3, security, and cost optimization, this guide is designed to equip candidates with the knowledge needed to excel in AWS-related interviews and advance their careers in cloud computing.

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AWS Machine Learning Blog

MAY 8, 2023

In a previous post , we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK).

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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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Data Science Blog

JUNE 21, 2023

Process Mining demands Big Data in 99% of the cases, releasing bad developed extraction jobs will end in big cost chunks down the value stream. When accepting the investment character of big data extractions, the investment should be done properly in the beginning and therefore cost beneficial in the long term.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

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Data Science Dojo

JUNE 6, 2023

” – Gartner While innovation and speed are essential, digitizing the enterprise entails more than just introducing new technologies, releasing digital products, or migrating systems to the cloud. You may better plan your digital operations and allocate your resources with the data gleaned from a current status assessment.

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Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

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IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.

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Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. Let’s understand the crucial role of AI/ML in the tech industry.

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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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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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AWS Machine Learning Blog

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. With interactive sessions, you can choose Apache Spark or Ray to easily process large datasets, without worrying about cluster management.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

The Amazon Kendra AEM connector can integrate with AWS IAM Identity Center (Successor to AWS Single Sign-On). Prerequisites To try out the Amazon Kendra connector for AEM using this post as a reference, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

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Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

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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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Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

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ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. 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.

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Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

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Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. In fact, Python finds multiple applications. Hence making a career in Python can open up several new opportunities.

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Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. The post Data Warehouse vs. Data Lake appeared first on Precisely.

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AWS Machine Learning Blog

OCTOBER 14, 2024

In this post, the term region doesn’t refer to an AWS Region , but rather to a business-defined region. About the authors Ram Vittal is a Principal ML Solutions Architect at AWS. He has over 3 decades of experience architecting and building distributed, hybrid, and cloud applications.

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ODSC - Open Data Science

FEBRUARY 6, 2024

LLMs Meet Google Cloud: A New Frontier in Big Data Analytics Mohammad Soltanieh-ha, PhD | Clinical Assistant Professor | Boston University Dive into the world of cloud computing and big data analytics with Google Cloud’s advanced tools and big data capabilities.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This code typically runs inside an AWS Lambda function.

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ODSC - Open Data Science

OCTOBER 22, 2024

Featured Talk: Accelerating Data Agents with cuDF Pandas NVIDIA will also present a talk on accelerating data agents using cuDF Pandas, demonstrating how their tools can significantly enhance data processing capabilities for AI applications. Databricks: Providing a unified analytics platform for big data and machine learning.

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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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Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

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