Alation

JUNE 14, 2021

The Role of Catalog in Data Security. We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. Recently, I dug in with CIOs on the topic of data security. Recently, I dug in with CIOs on the topic of data security.

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Alation

JULY 19, 2021

Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata. What Is Metadata? Why Is Metadata Important?

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Becoming Human

MARCH 12, 2024

This article provides a brief examination of how AI is reshaping legal research and case analysis. Using legal citations: Tools like Shepard’s Citations were indispensable for tracing the history of a case, aiding researchers in understanding how it had been treated over time. What is legal research?

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Snorkel AI

OCTOBER 23, 2023

With Snorkel Flow, Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products. With over 10,000 product tags across 40 million products, creating and managing labeled data is an enormous and time-consuming effort. Manually labeling training data was prohibitively slow.

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Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis.

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Alation

JANUARY 9, 2023

No matter where you reside, it seems as if significant data breaches happen almost weekly. A recent flurry of data breaches resulting in the disclosure of private data covering tens of millions of Australians has renewed the visibility of regulations that compel organisations to better protect consumer data.

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Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

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Snorkel AI

OCTOBER 23, 2023

With Snorkel Flow, Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products. With over 10,000 product tags across 40 million products, creating and managing labeled data is an enormous and time-consuming effort. Manually labeling training data was prohibitively slow.

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IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Alation

MAY 17, 2022

Folks can talk all day about automated insights, but answering ad hoc business questions still relies on human beings who understand the business context and how their bosses communicate. An enterprise data catalog is one such key asset. The Data Analyst Workflow. 7 Steps that Benefit from a Data Catalog.

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Dataconomy

SEPTEMBER 22, 2023

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. While we were talking about a data-driven future about 10 years ago, today we are perhaps laying the foundations of this future.

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Hacker News

JUNE 27, 2023

In addition, CoreWeave delivered from the cloud similar performance to what NVIDIA achieved from an AI supercomputer running in a local data center. The new test uses a larger data set and a more modern AI model to better reflect the challenges cloud service providers face.

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IBM Data Science in Practice

FEBRUARY 5, 2023

This article gives an overview of the code experience for data scientists in Watson Studio on Cloud Pak for Data 4.6. VS Code desktop integration lets data scientists use a familiar IDE to run and debug code that runs on the Cloud Pak for Data cluster. New in Cloud Pak for Data 4.6,

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AWS Machine Learning Blog

DECEMBER 13, 2023

Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance. We create an automated model build pipeline that includes steps for data preparation, model training, model evaluation, and registration of the trained model in the SageMaker Model Registry.

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Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Data Governance 40

Data Governance Tableau Power BI Business Intelligence 40

Snorkel AI

AUGUST 22, 2023

For example, when a customer searches for a “modern yellow sofa” on Wayfair, we want to show the most relevant options from the tens of thousands of sofas available in our catalog. color, shape) of over 40 million products provided by more than 20 thousand suppliers in our catalog. What are product tags?

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Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Snorkel AI

AUGUST 22, 2023

For example, when a customer searches for a “modern yellow sofa” on Wayfair, we want to show the most relevant options from the tens of thousands of sofas available in our catalog. color, shape) of over 40 million products provided by more than 20 thousand suppliers in our catalog. What are product tags?

Machine Learning 52

Machine Learning Machine Learning Data Preparation Artificial Intelligence 52

Alation

FEBRUARY 13, 2020

Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. There is plenty of market validation for the value of data catalogs.

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IBM Journey to AI blog

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few.

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AI AI 61

IBM Journey to AI blog

DECEMBER 8, 2023

However, how do these organizations know that focusing on software with the highest scoring CVEs is the right approach? CISA strongly advises that organizations should regularly review and monitor the Known Exploited Vulnerabilities catalog and prioritize remediation.

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Algorithm 77

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

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Data Quality Analytics Analytics Business Intelligence 100

AssemblyAI

DECEMBER 18, 2023

How can businesses use AI for education successfully and responsibly? One subset of Speech AI is Automatic Speech Recognition (ASR), or Speech-to-Text , which converts audio data into text. Speech AI also includes Audio Intelligence models, which analyze and draw insights from audio data. What is Speech AI?

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Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. This is because accurate data is “table stakes” for finance teams.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. To keep pace with new products, a new model was produced each month using the latest training data.

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DataRobot Blog

MAY 10, 2022

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

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Precisely

SEPTEMBER 8, 2023

Across every industry, companies are striving to improve their capacity for making data-driven decisions. For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business.

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. In offline reinforcement learning, one can train a policy on historical data before deploying it into production.

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Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. And among these, we find data acquisition. DATA ACQUISITION DEFINED. What is data acquisition?

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Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. Business users gain a complete understanding of the available data.

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Towards AI

JULY 19, 2023

How to Maximize ML Project Success with Efficient Scoping? | Essentially, the question we have been asking till now is, “ How to pick a project to work on?” Last Updated on July 19, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. Let’s take a look at the lifecycle once. Let’s speak examples.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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Snorkel AI

SEPTEMBER 29, 2023

Data labeling remains a core requirement for any organization looking to use machine learning to solve tangible business problems, especially with the increased development and adoption of LLMs. This is where data labeling fits in. What is data labeling?

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DrivenData Labs

DECEMBER 13, 2022

How to Predict Harmful Algal Blooms Using LightGBM and Satellite Imagery ¶ Welcome to the benchmark notebook for the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge ! The contents of the data folder are: ├── metadata.csv ├── submission_format.csv └── train_labels.csv In [3]: DATA_DIR = Path. Let's get started.

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Mlearning.ai

MARCH 28, 2023

The models trained on such data tend to be biased towards the majority class. If the model is not appropriately regularized, it may overfit the majority class, leading to a poor generalization of new data. Data augmentation techniques, which I will talk about shortly, will not help in this regard either. How to Evaluate It?

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Flipboard

AUGUST 25, 2023

The discovery of halicin paints a picture of just how rapid AI-assisted drug discovery can be. The system found halicin in a fraction of the time that traditional methods would take, said Bowen Lou, an assistant professor at the University of Connecticut’s School of Business who studies how AI is changing the pharmaceutical industry.

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Mlearning.ai

JANUARY 26, 2023

Prepared by: Carson Ross (OpenGeoHub) , Tom Hengl (OpenGeoHub) , Leandro Parente (OpenGeoHub) , Vasile Crăciunescu (TerraSigna) Data Cubes are highly organised data infrastructures enabling users to run new analyses and generate insights into processes, patterns and trends.

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Tableau

APRIL 5, 2022

Migrate to a new and improved identity data structure. The modern identity structure not only enhances user data within the Tableau Server repository, but also helps resolve certain issues that stemmed from the legacy architecture. The Tableau 2022.1 Let’s take a closer look at what’s included. For Tableau Server in version 2021.2.3

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