phData

MARCH 29, 2024

Resource Utilization: Optimize the use of resources, such as computing and storage, to ensure that you are not overpaying for resources you don’t need. Security Enhancement: Identify and fix potential security risks in your account and maintain a compliant security posture going forward.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

APRIL 5, 2024

Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). adds 26 new moderation labels and expands the moderation label taxonomy from a two-tier to a three-tier label category.

AWS 105

AWS Machine Learning Machine Learning Deep Learning 105

ODSC - Open Data Science

JUNE 22, 2023

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. Data lakes have become the preferred storage method of many companies because they do not have to format data to store it. These are called data lakes.

Data Lakes 98

Data Lakes Data Warehouse Database Data Science 98

Data Science Dojo

JANUARY 25, 2023

Still, the appropriate metric will depend on the specific task and the characteristics of your data input, broken down into two categories: classification and regression metrics. Instead, add proactive measures at every project stage, from data collection and storage to the model’s development and deployment.

Machine Learning 195

Machine Learning Machine Learning Database ML 195

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences. This can be done with algorithms like XGBoost.

AI 111

AI AI Natural Language Processing ML 111

Dataconomy

AUGUST 8, 2023

Continuing its commitment to transparency, Zoom has recently specified that customer content such as messages, files, and documents are not included in the categories used for AI training. Earlier in June, Zoom rolled out two innovative generative AI features — a tool that summarizes meetings and another to assist in composing chat messages.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Towards AI

NOVEMBER 7, 2023

Businesses that are already large consumers of services from tech giants, such as of cloud storage or analytics products, may decide to stick with their current provider in order to benefit from the scalable, seamless integration of Generative AI into the existing ecosystem. Figure 2 provides a summary of the relevant factors.

AI 112

AI AI Data Science Analytics 112

AWS Machine Learning Blog

NOVEMBER 17, 2023

A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. There are charges for Amazon S3 storage, Amazon S3 API calls that Amazon IVS makes on behalf of the customer, and serving the stored video to viewers.

AWS 88

AWS ML ML Natural Language Processing 88

Smart Data Collective

SEPTEMBER 23, 2020

A data warehouse is a storage area for filtered, structured data that has been processed already for a particular use, while Data Lake is a massive pool of raw data and the aim is still unknown. When it comes to principles and functions, Data Lake is utilized for cost-efficient storage of significant amounts of data from various sources.

Data Lakes 106

Data Lakes Data Warehouse Big Data Big Data 106

Alation

SEPTEMBER 8, 2022

That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership. Amazon EMR.

AWS 52

AWS Analytics Analytics Data Governance 52

IBM Journey to AI blog

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). This new approach ensures greater accuracy and transparency, effectively showcasing the tangible benefits achieved.

Azure 65

Azure Database 65

Dataconomy

JULY 25, 2023

Fitness trackers, a popular category of wearable computers, were first introduced in the early 2000s, with the Fitbit being one of the pioneering brands ( Image Credit ) What is a wearable computer? For example, a smartwatch may synchronize health data, notifications, or application data with a paired smartphone or cloud storage.

Internet of Things 91

Internet of Things Artificial Intelligence Artificial Intelligence AI 91

IBM Journey to AI blog

APRIL 25, 2023

The rise of cloud object storage has driven the cost of data storage down. Optimizing your data lakehouse architecture Fortunately, the IT landscape is changing thanks to a mix of cloud platforms, open source and traditional software vendors. Intelligent data caching is improving the performance of data lakehouse infrastructures.

Data Warehouse 57

Data Warehouse Data Engineering Data Engineer Data Engineering 57

phData

JANUARY 5, 2024

The total cost of using Snowflake is the aggregate of the cost of using data transfer, storage, and computing resources. Storage is calculated monthly based on the average number of on-disk bytes stored each day in your Snowflake account. Compute Resources Using compute resources within Snowflake consumes Snowflake credits.

Power BI 52

Power BI Cloud Computing Data Pipeline AWS 52

IBM Journey to AI blog

JANUARY 22, 2024

Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business. The organization takes extra precautions when processing children’s data or special category data. Each EEA country has its own supervisory authority.

Data Governance 88

Data Governance Database 88

phData

JUNE 21, 2023

Resource Utilization: Optimize the use of resources, such as compute and storage, to ensure that you are not overpaying for resources you don’t need. Security Enhancement: Identify and fix potential security risks in your account and maintain a compliant security posture going forward.

Data Pipeline 52

Data Pipeline 52

Data Science 101

MAY 20, 2019

There were a number of questions from this category. Azure Machine Learning Service Blob storage – specifically how to get data in/out Azure Notebooks Azure Cognitive Services (high level) Kubernetes HDInsight Data Science Virtual Machine.

Data Science 111

Data Science Azure Data Scientist Machine Learning 111

Heartbeat

FEBRUARY 13, 2023

Storage Capacity Another advantage of Kangas is its ability to store large amounts of data. Kangas’s database-based storage system is more scalable and can better handle large amounts of data. Grouped by the category We can also filter the data based on different conditions.

Data Science 94

Data Science Python Deep Learning Deep Learning 94

phData

JUNE 30, 2023

Snowpark Container Services will reduce these bottlenecks by colocating the container runtime and data storage. Real-Time AI/ML Applications – Most machine uses of machine learning models in production systems fall into one of two categories: batch or real-time. This can still introduce significant overhead for data applications.

Database 52

Database ML ML Python 52

Alation

JULY 19, 2021

To manage the sheer volume of metadata, a new category has emerged called active metadata. Data intelligence integrates intelligence derived from active metadata into categories like data quality, governance, and profiling. Such a tool typically takes the form of a data catalog, which enables easy storage and searching of metadata.

Data Governance 105

Data Governance Machine Learning Machine Learning Artificial Intelligence 105

IBM Journey to AI blog

FEBRUARY 23, 2024

Identify and protect special category data When inventorying data, organizations should make a note of any especially sensitive data that requires extra protection. The GDPR mandates added precautions for three kinds of data in particular: special category data, criminal conviction data, and children’s data.

Data Governance 82

Data Governance AWS Database 82

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Rekognition uses a hierarchical taxonomy to label inappropriate or unwanted content with 10 top-level moderation categories (such as violence, explicit, alcohol, or drugs) and 35 second-level categories. Import images from an Amazon Simple Storage Service (Amazon S3) bucket and provide labels.

AWS 108

AWS ML ML Artificial Intelligence 108

AWS Machine Learning Blog

OCTOBER 18, 2023

It is already trained on tens of millions of images across many categories. Instead of thousands of images, you can upload a small set of training images (typically a few hundred images or less per category) that are specific to your use case. Create an Amazon Rekognition dataset using the manifest files.

AWS 94

AWS ML ML Machine Learning 94

IBM Journey to AI blog

MARCH 8, 2024

Let’s take a closer look at several types of renewable energy resources and the trends taking shape in each category. Better storage will also help make power systems more resilient. Solar, wind and hydropower all require energy storage systems (ESS) to provide a consistent energy supply.

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AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. We add a FiftyOne classification label to each sample with the field name article_type, populated by the image’s top-level article category. A retail company is building a mobile app to help customers buy clothes.

Machine Learning 75

Machine Learning Machine Learning AWS ML 75

Dataconomy

JUNE 16, 2023

Data in a variety of places, including endpoints, networks, cloud storage, email, and applications, can be scanned, categorized, and monitored by DLP solutions. Data loss prevention (DLP) is a group of technologies and procedures designed to guard against data breaches and guarantee that data privacy laws are followed.

AI 193

AI AI Natural Language Processing Data Classification 193

Data Science Dojo

APRIL 6, 2023

It involves creating a structure that will organize the data and enable efficient storage, retrieval, and manipulation. SQL commands are grouped into four main categories: 1. Database design Designing a database is a critical step in creating a functional and efficient database system.

Database 195

Database SQL Data Science Business Intelligence 195

AWS Machine Learning Blog

NOVEMBER 22, 2023

Each DL2q instance has 96 vCPUs, a system memory capacity of 768 GB and supports a networking bandwidth of 100 Gbps as well as Amazon Elastic Block Store (Amazon EBS) storage of 19 Gbps. The cores are interconnected with a high-bandwidth low-latency network-on-chip (NoC) mesh. The table below highlights the range of the model support.

AI 102

AI AI AWS Deep Learning 102

AWS Machine Learning Blog

FEBRUARY 24, 2023

The teams used existing FEMA categories for damage such as flooding, debris, fire and smoke, or landslides, which standardized the label categories. Queuing incoming messages also acts as a buffer storage in case of any failures downstream. Given the highly parallel needs, we chose Lambda to process our images.

AWS 85

AWS Data Pipeline ML ML 85

Dataconomy

MAY 23, 2023

It enables faster data analysis and decision-making, reduces reliance on the cloud for processing and storage, and minimizes the amount of data that needs to be transmitted over the network. By processing data locally, organizations can reduce bandwidth costs and achieve cost savings in data storage and transfer.

Cloud Computing 164

Cloud Computing Data Analysis Data Analysis Analytics 164

AWS Machine Learning Blog

SEPTEMBER 7, 2023

This process requires breaking down data into three categories: 1) measurements available from the physical system, 2) the set of actions that can be taken upon the system, and 3) a numerical metric (reward) of equipment performance. AWS Glue catalogs the data and makes it queryable using Amazon Athena. Store these objects in Amazon S3.

AWS 94

AWS Machine Learning Machine Learning Natural Language Processing 94

IBM Journey to AI blog

MAY 1, 2023

It can include other components like container pods, storage volumes, virtual machines and more, depending on the infrastructure that supports the application. The supply chain on the left represents the resource relationships that Turbonomic maps out from the business application down to the Cloud Region.

Clustering 87

Clustering Database Analytics Analytics 87

Pickl AI

OCTOBER 12, 2023

These data types specify the storage of values in memory and dictate the permissible operations that can be executed. NumPy , abbreviated as Numerical Python, stands as a foundational library within the Python ecosystem, celebrated for its robust capabilities in array-based computation. What are the Different Data Types in NumPy?

Python 52

Python Data Analysis Data Analysis Data Science 52

Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Their primary responsibilities include: Data Storage and Management Data Engineers design and implement storage solutions for different types of data, be it structured, semi-structured, or unstructured.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Dojo

MARCH 8, 2024

Moreover, organized storage of data facilitates data analysis, enabling retrieval of useful insights and data patterns. Moreover, databases allow the storage of training datasets, facilitating model training and validation. These are important for efficient data organization, security, and control.

Database 370

Database Natural Language Processing Clustering SQL 370