AI News

AUGUST 29, 2023

“If you think about building a data pipeline, whether you’re doing a simple BI project or a complex AI or machine learning project, you’ve got data ingestion, data storage and processing, and data insight – and underneath all of those four stages, there’s a variety of different technologies being used,” explains Faruqui.

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Flipboard

MARCH 3, 2023

Data proliferation has become a norm and as organizations become more data driven, automating data pipelines that enable data ingestion, curation, …

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AWS Machine Learning Blog

MAY 4, 2023

Simple methods for time series forecasting use historical values of the same variable whose future values need to be predicted, whereas more complex, machine learning (ML)-based methods use additional information, such as the time series data of related variables. For more information, refer to Training Predictors.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Rockets legacy data science architecture is shown in the following diagram. Data Storage and Processing: All compute is done as Spark jobs inside of a Hadoop cluster using Apache Livy and Spark.

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AWS Machine Learning Blog

MAY 7, 2024

The service allows for simple audio data ingestion, easy-to-read transcript creation, and accuracy improvement through custom vocabularies. It has been trained on a wide-ranging corpus of text data to understand various contexts and nuances of language. The format of the recordings must be either.mp4,mp3, or.wav.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

This deployment guide covers the steps to set up an Amazon Q solution that connects to Amazon Simple Storage Service (Amazon S3) and a web crawler data source, and integrates with AWS IAM Identity Center for authentication. An AWS CloudFormation template automates the deployment of this solution.

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Unite.AI

OCTOBER 14, 2024

Quantum provides end-to-end data solutions that help organizations manage, enrich, and protect unstructured data, such as video and audio files, at scale. Their technology focuses on transforming data into valuable insights, enabling businesses to extract value and make informed decisions.

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Snorkel AI

JANUARY 8, 2025

At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Ingesting raw data from Databricks into Snorkel Flow Efficient data ingestion is the foundation of any machine learning project. Sign up here!

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AWS Machine Learning Blog

FEBRUARY 5, 2025

This multi-interface, RAG-powered approach not only strives to meet the flexibility demands of modern users, but also fosters a more informed and engaged user base, ultimately maximizing the assistants effectiveness and reach. Additionally, we use text files uploaded to an S3 bucket that is accessible through an Amazon CloudFront link.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months. Both services offer independent compute and storage scaling, high availability, and automated DBA tasks.

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AWS Machine Learning Blog

JUNE 18, 2024

Through evaluations of sensors and informed decision-making support, Afri-SET empowers governments and civil society for effective air quality management. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.

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AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. Double-check all entered information for accuracy.

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AWS Machine Learning Blog

AUGUST 5, 2024

RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information. Building and deploying these components can be complex and error-prone, especially when dealing with large-scale data and models. Choose Sync to initiate the data ingestion job.

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AWS Machine Learning Blog

AUGUST 28, 2024

RAG models retrieve relevant information from a large corpus of text and then use a generative language model to synthesize an answer based on the retrieved information. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

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AWS Machine Learning Blog

JANUARY 29, 2025

They implement landing zones to automate secure account creation and streamline management across accounts, including logging, monitoring, and auditing. One way to mitigate LLMs from giving incorrect information is by using a technique known as Retrieval Augmented Generation (RAG).

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AWS Machine Learning Blog

OCTOBER 2, 2024

This allows you to create rules that invoke specific actions when certain events occur, enhancing the automation and responsiveness of your observability setup (for more details, see Monitor Amazon Bedrock ). With this information, you can identify optimization opportunities, such as scaling down under-utilized resources.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

Automation levels The SAE International (formerly called as Society of Automotive Engineers) J3016 standard defines six levels of driving automation, and is the most cited source for driving automation. This ranges from Level 0 (no automation) to Level 5 (full driving automation), as shown in the following table.

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ODSC - Open Data Science

JUNE 22, 2023

Rather than using paper records, data is now collected and stored using digital tools. However, even digital information has to be stored somewhere. While databases were the traditional way to store large amounts of data, a new storage method has developed that can store even more significant and varied amounts of data.

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Marktechpost

DECEMBER 3, 2024

Parsing and transforming different types of documents—ranging from PDFs to Word files—for machine learning tasks can be tedious, often leading to information loss or requiring extensive manual intervention. Meet MegaParse : an open-source tool for parsing various types of documents for LLM ingestion. Unstructured with Check Table 0.77

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In order analyze the calls properly, Principal had a few requirements: Contact details: Understanding the customer journey requires understanding whether a speaker is an automated interactive voice response (IVR) system or a human agent and when a call transfer occurs between the two.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Customers across all industries run IDP workloads on AWS to deliver business value by automating use cases such as KYC forms, tax documents, invoices, insurance claims, delivery reports, inventory reports, and more. Effectively manage your data and its lifecycle Data plays a key role throughout your IDP solution.

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AWS Machine Learning Blog

JULY 17, 2024

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. The AI assistant provides answers along with links that point directly to the data sources.

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AWS Machine Learning Blog

MARCH 1, 2023

It helps you extract information by recognizing sentiments, key phrases, entities, and much more, allowing you to take advantage of state-of-the-art models and adapt them for your specific use case. An Amazon Comprehend flywheel automates this ML process, from data ingestion to deploying the model in production.

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AWS Machine Learning Blog

DECEMBER 18, 2023

By exploring these challenges, organizations can recognize the importance of real-time forecasting and explore innovative solutions to overcome these hurdles, enabling them to stay competitive, make informed decisions, and thrive in today’s fast-paced business environment. For more information, refer to the following resources.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. Choose the car-data-ingestion-pipeline.

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Pickl AI

JULY 30, 2024

Summary: Apache NiFi is a powerful open-source data ingestion platform design to automate data flow management between systems. Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

JUNE 27, 2023

The ML components for data ingestion, preprocessing, and model training were available as disjointed Python scripts and notebooks, which required a lot of manual heavy lifting on the part of engineers. It also persists a manifest file to Amazon S3, including all necessary information to recreate that dataset version.

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AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. Manager Data Science at Marubeni Power International.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Rather than requiring your data science and IT teams to build and maintain AI models, you can use pre-trained AI services that can automate tasks for you. How to manage the document and its extracted information in the solution is the key to data consistency, security, and privacy.

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John Snow Labs

FEBRUARY 18, 2025

Combining healthcare-specific LLMs along with a terminology service and scalable data ingestion pipelines, it excels in complex queries and is ideal for organizations seeking OMOP data enrichment.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Codify Operations for Efficiency and Reproducibility By performing operations as code and incorporating automated deployment methodologies, organizations can achieve scalable, repeatable, and consistent processes. By centralizing datasets within the flywheel’s dedicated Amazon S3 data lake, you ensure efficient data management.

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AWS Machine Learning Blog

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. Identifying keywords such as use cases and industry verticals in these sources also allows the information to be captured and for more relevant search results to be displayed to the user.

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AWS Machine Learning Blog

AUGUST 21, 2024

The banking dataset contains information about bank clients such as age, job, marital status, education, credit default status, and details about the marketing campaign contacts like communication type, duration, number of contacts, and outcome of the previous campaign. A new data flow is created on the Data Wrangler console.

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AWS Machine Learning Blog

APRIL 12, 2023

As the lifeline of the airports, a BHS is a linear asset that can exceed 34,000 meters in length (for a single airport) handling over 70 million bags annually, making it one of the most complex automated systems and a vital component of airport operations.

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DataRobot Blog

SEPTEMBER 13, 2022

According to IDC , 83% of CEOs want their organizations to be more data-driven. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? What Do Data Scientists Do? Data scientists drive business outcomes. Awareness and Activation.

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Snorkel AI

JANUARY 8, 2025

At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Ingesting raw data from Databricks into Snorkel Flow Efficient data ingestion is the foundation of any machine learning project. Sign up here!

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