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). In this article we will list 10 things AWS can do for your SaaS company. What is AWS?

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Flipboard

NOVEMBER 26, 2023

As the rush to generative artificial intelligence only gains more momentum every day, Amazon Web Services Inc. Chief Executive Adam Selipsky think there's one core capability to ensure it fulfills its

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IBM Journey to AI blog

MAY 26, 2023

Cloud is transforming the way life sciences organizations are doing business. Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability.

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Flipboard

NOVEMBER 17, 2023

In a recent webinar, Slalom and Amazon Web Services (AWS) showcased the incredible potential of chat-based enterprise search powered by AWS generative …

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AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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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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Towards AI

APRIL 19, 2024

Generative Artificial Intelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of Artificial Intelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

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Precisely

JANUARY 18, 2024

Yet mainframes weren’t initially 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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Analytics Vidhya

FEBRUARY 3, 2022

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. Deep learning, natural language processing, and computer vision are examples […]. This article was published as a part of the Data Science Blogathon.

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AWS Machine Learning Blog

DECEMBER 13, 2023

The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit , AWS CodePipeline , and AWS CodeBuild. An AWS account.

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. Microsoft has reported a 27 percent increase in profit due to its focus on cloud computing and investments in artificial intelligence.

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Becoming Human

JUNE 14, 2023

Introduction: In today’s fast-paced business world, Artificial Intelligence (AI) is becoming increasingly important in helping companies stay competitive. As a leading Artificial Intelligence App Development Company, AWS has been investing heavily in machine learning and AI technologies over the years.

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Dataconomy

APRIL 26, 2023

This is particularly true in the field of edge computing, where the need for innovative solutions has never been more pressing. We will review some of the current market leaders in edge computing and examine the unique strengths that have helped them rise to the top of the industry.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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Flipboard

NOVEMBER 25, 2023

Thanksgiving has passed in the U.S., so it’s on to the December holiday season — but before we can deck the halls and jingle some bells, an important …

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Becoming Human

MAY 11, 2023

Cloud Computing: Cloud computing platforms like Amazon Web Services (AWS) and Microsoft Azure can be used to provide the necessary computational resources and infrastructure for deploying and scaling machine learning models.

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Data Science Connect

JULY 26, 2023

The Emergence of Edge Computing: A Game-Changer Edge computing has emerged as a game-changing technology, revolutionizing how data is processed and delivered. Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Prerequisites To try out the Amazon Kendra connector for Drupal 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. Basic knowledge of AWS and working knowledge of Drupal administration. Then complete the following steps.

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Pickl AI

JANUARY 30, 2023

Versatile programming language- You can use Python for web development, Data Science, Machine Learning, Artificial Intelligence, finance and in many other domains. Scientific Computing: Use Python for scientific computing tasks, such as data analysis and visualization, Machine Learning, and numerical simulations.

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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). The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles.

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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. What makes AWS special is its market share, range of databases, and flexible pricing.

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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, pb can decrease execution time for Python.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between your FMs and your VPC without exposing your traffic to the internet.

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AWS Machine Learning Blog

MAY 7, 2024

A more efficient way to manage meeting summaries is to create them automatically at the end of a call through the use of generative artificial intelligence (AI) and speech-to-text technologies. AWS CDK version 2.0 Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

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Data Science Dojo

FEBRUARY 20, 2023

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. AWS SageMaker also has a CLI for model creation and management.

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Smart Data Collective

MAY 19, 2021

Artificial intelligence is becoming a major focus of our lives. It is affecting some of the most intimate elements of our lives, such as our homes. As we stated before, AI has played a role in driving the direction of the smart home market. As of 2021, connected home devices are used by approximately 12.5%

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ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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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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IBM Journey to AI blog

MARCH 27, 2024

Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. Both are based on complicated digital infrastructures and depend on virtualization , the underlying concept of cloud computing. Both options deliver complex Software-as-a-Service (SaaS) solutions.

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IBM Journey to AI blog

JULY 28, 2023

Learn more about AWS Consulting services Challenges in welding inspection Take a moment to inspect the weld joint below. What is IBM Smart Edge for Welding on AWS? IBM Smart Edge for Welding on AWS utilizes audio and visual capturing technology developed in collaboration with IBM Research. Most likely you cannot.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The web application front-end is hosted on AWS Amplify.

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Analytics Vidhya

APRIL 16, 2023

Generative AI has made significant strides in recent years, thanks to the development of foundation models (FMs) like large language models and text-to-image models.

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AWS Machine Learning Blog

MARCH 8, 2023

He holds a PhD in Aerospace Engineering from Texas A&M University, College Station.

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Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume? But have no clue where to get the datasets from so […].

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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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AWS Machine Learning Blog

MAY 7, 2024

As an AI professional, he is an active member of the AWS AI/ML Area-of-Depth team. With a background spanning over two decades of expertise in leading the architecture and engineering of large-scale solutions, he helps customers on their transformative journeys through cloud and AI/ML technologies.

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