AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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Data Science 101

NOVEMBER 11, 2019

Azure Synapse Analytics This is the future of data warehousing. It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service. SQL Server 2019 SQL Server 2019 went Generally Available. If you are at a University or non-profit, you can ask for cash and/or AWS credits.

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* What is Modern Cloud Analytics? Core product integration and connectivity between Tableau and AWS. November 16, 2021. Skip the server administration with Tableau Online.

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* What is Modern Cloud Analytics? Core product integration and connectivity between Tableau and AWS. November 16, 2021. Skip the server administration with Tableau Online.

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Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. It is now possible to deploy an Azure SQL Database to a virtual machine running on Amazon Web Services (AWS) and manage it from Azure. Here they are in my order of importance (based upon my opinion). Azure Synapse.

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* What is Modern Cloud Analytics? Core product integration and connectivity between Tableau and AWS. November 22, 2022. New delivery of Tableau Desktop.

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Data Science Blog

NOVEMBER 15, 2023

The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. Click to enlarge!

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AWS Machine Learning Blog

MARCH 28, 2024

For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart. Before you get started with the solution, create an AWS account. This identity is called the AWS account root user. The Mixtral-8x7B model is made available under the permissive Apache 2.0

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AWS Machine Learning Blog

JULY 17, 2024

AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. About the Authors Shashi Raina is a Senior Partner Solutions Architect at Amazon Web Services (AWS), where he specializes in supporting generative AI (GenAI) startups.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. Model deployment accounts – The LLMs offered by various vendors are hosted and operated by AWS in separate accounts dedicated for model deployment.

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AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution. I need numbers."

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS. He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT. Outside of work, Sovik enjoys traveling, and adventures.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. This mostly non-technical post is written for FSI business leader personas such as the chief data officer, chief analytics officer, chief investment officer, head quant, head of research, and head of risk.

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AWS Machine Learning Blog

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Modern, state-of-the-art time series forecasting enables choice To meet real-world forecasting needs, AWS provides a broad and deep set of capabilities that deliver a modern approach to time series forecasting. AWS services address this need by the use of ML models coupled with quantile regression. References DeYong, G.

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AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. Conclusion In this post, we walked through an automated demand forecasting pipeline we built using Amazon Forecast and AWS Step Functions.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. OpenSearch Dashboard also enables users to search and run analytics with this dataset.

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Data Science Dojo

JUNE 6, 2023

Amazon Go, a cashier-less convenience store that debuted in 2019, is just one instance of how traditional industries are undergoing a digital upheaval. Similarly, firms that employ data analytics to learn about their customers’ habits and likes can tailor their offerings to those consumers.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021.

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AWS Machine Learning Blog

SEPTEMBER 10, 2024

We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker. by AWS, which aimed to mitigate the limitations of PORPOISE. Each environment sits in its own isolated AWS account. 2022 ) was implemented (Section 2.1). per cancer type in survival analysis.

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AWS Machine Learning Blog

OCTOBER 25, 2023

In this blog post, we show you how you can use Sentinel 2 satellite imagery hosted on the AWS Registry of Open Data in combination with Amazon SageMaker geospatial capabilities to detect point sources of CH4 emissions and monitor them over time. About the authors Dr. Karsten Schroer is a Solutions Architect at AWS.

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Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season.

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Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. About the Authors Ajjay Govindaram is a Senior Solutions Architect at AWS. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It provided ACID transactions and built-in support for real-time analytics.

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL was created at Amazon and open-sourced in 2019. It also includes support for new hardware like ARM (both in servers like AWS Graviton and laptops with Apple M1 ) and AWS Inferentia. It also includes support for new hardware like ARM (both in servers like AWS Graviton and laptops with Apple M1 ) and AWS Inferentia.

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IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 5 – Bar graph of current flight delay data (2019 – June 2022).

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AWS Machine Learning Blog

FEBRUARY 10, 2023

For instance, it can reveal the preferences of play callers, allow deeper understanding of how respective coaches and teams continuously adjust their strategies based on their opponent’s strengths, and enable the development of new defensive-oriented analytics such as uniqueness of coverages ( Seth et al. ). The Illustrated Transformer.”

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Smart Data Collective

AUGUST 9, 2019

Chris Dyl, director of platform for Epic, referred to the company’s Amazon S3 deployment as its “data lake” during his talk at AWS Summit just this month. ZDNet has also talked about the role of analytics , cloud technology, and big data in Fortnite. Conclusion: Big Data Has Made Fortnite One of the Most Exciting Games of 2019.

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Alation

SEPTEMBER 30, 2022

Compare that to the 108 that earned the status in all of 2020 (and the 439 total up to 2019), and you can see why the title has lost its sparkle. With that in mind, we have more impactful things on the horizon: Less than a year ago, Alation announced that we had acquired Lyngo Analytics , a pioneer in the NLP space.

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AWS Machine Learning Blog

JULY 25, 2024

SharePoint Server 2016, SharePoint Server 2019, and SharePoint Server Subscription Edition are the active SharePoint Server releases. The web application that the user uses to retrieve answers would be connected to an IdP or AWS IAM Identity Center. SharePoint Server is a locally hosted platform that your company owns and operates.

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Mlearning.ai

JANUARY 26, 2023

Some key publications of interest on the topic of Data Cubes include MDPI Special Issue “Earth Observation Data Cubes” and the book Big Data Analytics in Earth, Atmospheric and Ocean Sciences. BUILDING EARTH OBSERVATION DATA CUBES ON AWS. AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”.

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Alation

NOVEMBER 15, 2021

In 2019 the EDM Council decided that a new extension for managing sensitive data in the cloud was required, so they created the Cloud Data Management Capability (CDMC) working group. The Snowflake data sources were multi-cloud (Azure, AWS, GCP) running in different regions around the world. Measurement, Monitoring, and Analytics.

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Women in Big Data

JULY 10, 2023

She finished her second Masters in Computer Engineering and Cybersecurity in 2019 from San Jose State University. She connected Data Analytics, Data Science, Data Engineer and Machine Learning Engineer profiles with CTI roles and explained their significance in the security ecosystem.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

Machine Learning 52

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

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