AWS Machine Learning Blog

MARCH 10, 2023

The same architecture applies if you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a data streaming service. The following diagram illustrates the solution architecture. Update transaction data by adding fraud detection results as metadata. The following diagram illustrates the solution architecture.

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Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository.

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Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. In software development, technical debt is often defined as the cost of choosing an easy solution now instead of a better approach that might take longer. Complex Salesforce orgs can work just fine if they are properly managed.

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Alation

MAY 19, 2022

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. Leverage small data.

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Precisely

SEPTEMBER 11, 2023

Let’s explore the increasing demand for AI, the answers it provides for common data integrity challenges, and what it all means for our own solutions, like the Precisely Data Integrity Suite. These solutions have gained traction, with organizations leveraging their benefits.

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AWS Machine Learning Blog

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

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IBM Journey to AI blog

JUNE 12, 2023

This post provides a view of how these layers should be managed and implemented across different teams. Public cloud support: Many CSPs use hyperscalers like AWS to host their 5G network functions, which requires automated deployment and lifecycle management. It also takes care of the major upgrades on the network function.

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Alation

DECEMBER 15, 2022

August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions. October 2019: Gartner names Alation a 3X Leader to the Gartner Magic Quadrant for Metadata Management Solutions.

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AWS Machine Learning Blog

JANUARY 12, 2023

Part of how The Very Group secures and tracks business operations is through activity logging between business systems (for example, across the stages of a customer order). Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text.

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Dataconomy

AUGUST 7, 2023

AI databases are specialized to store, manage, and retrieve data for artificial intelligence and machine learning applications ( Image credit ) What is an AI database? In AI, semi-structured data might include text with associated metadata or data with varying levels of structure.

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Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We pioneered the world’s first machine learning data catalog, centralizing technical, operational, business and behavioral metadata into one place. Activating metadata with Alation Anywhere.

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AWS Machine Learning Blog

AUGUST 2, 2023

Images can often be searched using supplemented metadata such as keywords. However, it takes a lot of manual effort to add detailed metadata to potentially thousands of images. Generative AI (GenAI) can be helpful in generating the metadata automatically. This helps us build more refined searches in the image search process.

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AWS Machine Learning Blog

DECEMBER 19, 2023

Overall, ML use cases require a readily available integrated solution to industrialize and streamline the process that takes an ML model from development to production deployment at scale using MLOps. The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Although the requirements of continuous integration and continuous delivery (CI/CD) pipelines can be unique and reflect each organization’s needs, scaling MLOps practices across teams can be simplified by using managed orchestrations and tools that can accelerate the development process and remove the undifferentiated heavy lifting.

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Smart Data Collective

OCTOBER 28, 2020

What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired. When data is no longer in active use, the best thing that healthcare systems can do it archive it. What’s the best way to handle this information?

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Alation

FEBRUARY 7, 2023

The product collected an impressive amount of metadata, from the user interface to the database structure. It then translated all that metadata into an image resembling a spider’s web. The business analysts were dealing with a problem that may sound familiar to folks in the data management space.

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AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. The approver must be authenticated and part of the approver group managed by Active Directory.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

For many years, Philips has been pioneering the development of data-driven algorithms to fuel its innovative solutions across the healthcare continuum. In the diagnostic imaging domain, Philips developed a multitude of ML applications for medical image reconstruction and interpretation, workflow management, and treatment optimization.

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Precisely

JULY 21, 2023

With real-time update streaming, Precisely solutions make data from legacy systems like the mainframe available to Confluent and, ultimately, a wide array of targets. Apply Configuration Changes: Apply the configuration changes made to the replication script, stage them, and make them active within the environment.

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IBM Journey to AI blog

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. Technical metadata to describe schemas, indexes and other database objects.

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phData

MARCH 13, 2023

Use the Pre-SQL option in the Output Data tool to run DDL commands – This one is a bit tricky because you need to know the metadata of your table to pass it to the “Create Table” command. For example, INT values will have MIN/MAX stored in the metadata cache, but FLOAT values won’t. An active warehouse caches raw data in its own disk.

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Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

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AWS Machine Learning Blog

MAY 3, 2023

AWS customer Vericast is a marketing solutions company that makes data-driven decisions to boost marketing ROIs for its clients. Solution overview Vericast’s Machine Learning Platform aids in the quicker deployment of new business models based on existing workflows or quicker activation of existing models for new clients.

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AWS Machine Learning Blog

MARCH 12, 2024

Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. If the receiving party mishandles the data, it could violate privacy regulations, resulting in legal risks. Choose Next.

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Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. Although MDM serves a vitally important function by ensuring the shared master data is managed correctly and is fit for purpose, it does not offer the same benefits as a full-blown data governance program.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

Geospatial datasets contain useful metadata such as latitude and longitude coordinates, and timestamps, which can provide context for these images. The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review.

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AWS Machine Learning Blog

FEBRUARY 20, 2024

The engagement focused on delivering a functional solution for the localization process, while providing hands-on training to ZOO Digital developers on SageMaker, Amazon Transcribe , and Amazon Translate. Solution overview In this prototype, we stored the original media files in a specified Amazon Simple Storage Service (Amazon S3) bucket.

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DagsHub

MARCH 21, 2024

To do so, teams implement a Machine Learning Operations (MLOps) pipeline to automate their model management. But, constructing a comprehensive solution tailored for computer vision using Machine Learning Operations (MLOps) is often demanding, and requires a strategic integration of open-source tools. Leveraging Min.IO

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IBM Journey to AI blog

MAY 9, 2024

healthcare, managing the accuracy, quality and integrity of data is the focus of data governance. The solution lies in the ability to visualize patient data from different sources in one place. However, not all data lineage solutions can visualize data from different silos. Instead, it uses active metadata.

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Google Research AI blog

NOVEMBER 17, 2022

We’ve created participatory activities to navigate typical obstacles in setting up a dataset transparency effort, frameworks that can scale data transparency to new data types, and guidance that researchers, product teams and companies can use to produce Data Cards that reflect their organizational principles.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

You will have to work in a team, with a manager, with the wider community and business, and, of course, with your customers, as mentioned above. Machine learning is ideal for cases when you want to do a semi-routine task faster, with more accuracy, or at a far larger scale than is possible with other solutions.

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The MLOps Blog

MARCH 20, 2023

As a result of the life span of these apps and systems, the ML models associated require to be constantly updated, redeployed, and maintained, which means that they require proper dataset version management. This increase in data requirements leads to the demand for data management solutions, one of them being data versioning.

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AWS Machine Learning Blog

FEBRUARY 1, 2023

Amazon EKS is a managed Kubernetes service that simplifies the creation, configuration, lifecycle, and monitoring of Kubernetes clusters while still offering the full flexibility of upstream Kubernetes. In this post, you will learn about the solution architecture and review several key steps from the tutorial.

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Flipboard

JUNE 9, 2023

To generate metadata, this plugin employs AI to recognize unique terms throughout the site. SEO metadata (meta titles and descriptions) are automatically generated by this function using AI analysis of the post’s content. With its support, you can manage the indexed material and its visibility on search engines.

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Pickl AI

JANUARY 16, 2024

Key takeaways Develop proficiency in Data Visualization, Statistical Analysis, Programming Languages (Python, R), Machine Learning, and Database Management. Actively engage in complex projects, specialize in programming languages. Database Management Skilled in managing and extracting information from databases.

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AWS Machine Learning Blog

MARCH 2, 2023

The Amazon Kendra’s S3 connector supports indexing documents and their associated metadata stored in an S3 bucket. Overview of solution There are three main improvements to the Amazon Kendra S3 connector : VPC support – The connector now supports using your Amazon Virtual Private Cloud (Amazon VPC) networks. Choose Services.

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AWS Machine Learning Blog

MAY 18, 2023

Solution overview You can use Amazon Kendra as a central location to index the content provided by various data sources for intelligent search. In the following sections, we go through the steps to create an index, add the SharePoint connector, and test the solution. Basic knowledge of AWS. For this post, we select Full sync.

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