Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft.

AI 193

AI AI Natural Language Processing Data Classification 193

phData

NOVEMBER 4, 2024

Snowflake’s cloud-agnosticism, separation of storage and compute resources, and ability to handle semi-structured data have exemplified Snowflake as the best-in-class cloud data warehousing solution. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. These tools offer the flexibility of accessing insights from anywhere, and they often integrate with other cloud analytics solutions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Data Analysis and Modeling This stage is focused on discovering patterns, trends, and insights through statistical methods, machine-learning models, and algorithms. And Why did it happen?).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 15, 2024

Upon the release of Amazon Q Business in preview, Principal integrated QnABot with Amazon Q Business to take advantage of its advanced response aggregation algorithms and more complete AI assistant features. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

AWS 120

AWS AI AI Machine Learning 120

IBM Journey to AI blog

MARCH 20, 2024

Cloud service providers are also responsible for all hardware maintenance and for providing high-bandwidth network connectivity to ensure rapid access and exchange of applications and data. Most often, only the most relevant data is processed at the edge.

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

Pickl AI

DECEMBER 26, 2024

For instance, a Data Science team analysing terabytes of data can instantly provision additional processing power or storage as required, avoiding bottlenecks and delays. The cloud also offers distributed computing capabilities, enabling faster processing of complex algorithms across multiple nodes.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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. Also in patient monitoring, image guided therapy, ultrasound and personal health teams have been creating ML algorithms and applications.

ML 132

ML ML AWS AI 132

Towards AI

FEBRUARY 10, 2023

The term “artificial intelligence” may evoke the ideas of algorithms and data, but it is powered by the rare earth’s minerals and resources that make up the computing components [1]. The cloud, which consists of vast machines, is arguably the backbone of the AI industry.

AI 97

AI AI Natural Language Processing Artificial Intelligence 97

IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.

Database 101

Database SQL Data Warehouse Machine Learning 101

Data Science Blog

JUNE 27, 2023

Requirements that clearly speak for Lambda If data is to be processed ad-hoc on quasi unchanging, quality-assured databases, or if the focus of the database is on data quality and the avoidance of inconsistencies. When fast responses are required, but the system must be able to handle different update cycles.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Google Research AI blog

FEBRUARY 2, 2023

With the increasing sophistication of the algorithms and hardware in use today and with the scale at which they run, the complexity of the software necessary to carry out day-to-day tasks only increases. Computers for training needed to be housed in a data center. Large cloud data centers are typically ~1.4x

ML 72

ML ML Algorithm Machine Learning 72

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

phData

SEPTEMBER 29, 2023

Example: JP Morgan Chase applies the concepts of data engineering that help combine market data and transaction histories, making it feasible for banks to carry out ideal risk management analysis with efficient dashboards created from real-time data.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

OCTOBER 13, 2023

At Google, it was his responsibility to maintain and improve the quality of our core web search algorithms during a time of twenty-fold growth. There, he also oversaw the birth and growth of world-leading teams in machine translation, speech recognition, and computer vision.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. in a 2D space based on the machine learning algorithm used.

Python 52

Python Database SQL Machine Learning 52

phData

JUNE 23, 2023

The Snowflake Data Cloud was built natively for the cloud. When we think about cloud data transformations, one crucial building block is User Defined Functions (UDFs). CREATE OR REPLACE FUNCTION MY_HASH_FUNCTION(input STRING, algorithm STRING) RETURNS STRING LANGUAGE PYTHON RUNTIME_VERSION = 3.8

SQL 52

SQL Python Algorithm Big Data 52

IBM Journey to AI blog

NOVEMBER 7, 2023

By utilizing quantum-safe algorithms that are available now, customers can help secure their data sent to IBM Cloud against threats such as harvesting encrypted data sent over Internet now to be decrypted later, when cryptographically relevant quantum computers are available.

AI 96

AI AI Algorithm Cloud Data 96

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Database Cloud Data Machine Learning 59

DataRobot

DECEMBER 20, 2021

it’s possible to build a robust image recognition algorithm with high accuracy. Who Can Benefit from the Visual Data? Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. With frameworks like Tensorflow , Keras , Pytorch, etc.,

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

IBM Journey to AI blog

JANUARY 10, 2024

As compromised credential threats as well as insider threats have become a dominant cause of data-security incidents , technical assurance has become a priority for securing sensitive and regulated workloads whether the latter are running in traditional on-premises or in a public cloud data centers.

Clustering 88

Clustering AI AI Cloud Data 88

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Let’s get started! The Pix2Seq framework for object detection.

ML 132

ML ML AI AI 132

Alation

OCTOBER 5, 2021

Yet there is often lack of awareness of the trustworthiness (or lack thereof) of the data that these algorithms are being trained on. It is commonplace for a company to create an enterprise data governance strategy that fails to even consider the end user.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Artificial intelligence (AI) algorithms are trained to detect anomalies. Today’s enterprises need real-time or near-real-time performance, depending on the specific application. Timing matters.

Data Governance 63

Data Governance ETL Data Pipeline Azure 63

AWS Machine Learning Blog

AUGUST 4, 2023

For more information about this process, refer to New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler. Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case.

ML 98

ML ML AWS AI 98

Defined.ai blog

MAY 24, 2022

In the words of Facebook whistleblower and data scientist, Frances Haugen: “the problems here [are] about the design of algorithms, of AI.” To affect real change, government must step in before harms occur and set rules and guidelines for businesses and their technology, which is an assessment that even Meta, née Facebook, agrees with.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Pickl AI

JANUARY 9, 2025

Security monitoring tools track and analyse cloud infrastructure to identify anomalies, suspicious activities, or breaches. These tools often use machine learning algorithms to recognise patterns and potential threats that would be difficult for humans to detect. The systems could break existing encryption methods, risking cloud data.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning ML 52

Precisely

FEBRUARY 10, 2023

Cloud Adoption Will Continue Steadily Cloud computing and its inherent scalability and elasticity offer distinct advantages, especially with respect to AI/ML and advanced analytics. As cloud data platforms and powerful analytics tools gain in popularity, the march toward the cloud continues at a rapid pace.

DataOps 52

DataOps Data Observability ML ML 52

phData

OCTOBER 11, 2024

Although supervised and unsupervised learning algorithms still have their place within fraud detection and risk evaluation models, today we stand at an exciting juncture where real business value can be extracted from Generative AI and novel AI technologies. Explore phData's AI Services Today!

AI 52

AI AI Data Pipeline ML 52

phData

JUNE 26, 2024

This is a perfect use case for machine learning algorithms that predict metrics such as sales and product demand based on historical and environmental factors. phData Retail Case Study phData helps many retail businesses answer these questions and more by utilizing their data to the fullest.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineer 52

Mlearning.ai

FEBRUARY 16, 2023

Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data. ML models, in turn, require significant volumes of adequate data to ensure accuracy. Moreover, each experiment must be supported with copies of entire data sets.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Artificial intelligence (AI) algorithms are trained to detect anomalies. Today’s enterprises need real-time or near-real-time performance, depending on the specific application. Timing matters.

Data Governance 52

Data Governance ETL Data Pipeline Azure 52

The MLOps Blog

MAY 17, 2023

Tool Cloudbased Pre-Built Connectors Serverless Pre-Built Transformation Options API Support Fully Managed Hevo Data AWS Glue GCP Cloud Data Fusion Apache Spark Talend Apache Airflow You may also like Comparing Tools For Data Processing Pipelines How to build an ML ETL pipeline?

ETL 59

ETL Data Pipeline ML ML 59

Mlearning.ai

JANUARY 26, 2023

EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). Video Presentation of the B3 Project’s Data Cube.

AWS 98

AWS Database Data Science Clean Data 98

phData

MAY 6, 2024

Another benefit of deterministic matching is that the process to build these identities is relatively simple, and tools your teams might already use, like SQL and dbt , can efficiently manage this process within your cloud data warehouse. It thrives on patterns, combinations of data points, and statistical probabilities.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data SQL 52

Alation

NOVEMBER 16, 2021

This impact analysis of downstream objects and upstream dependencies provides data stewards a deeper understanding of how and where sensitive data is used. Run impact analysis on your Snowflake cloud data in Alation. The data that is most used is likely the most useful. Knowing what’s popular is powerful.

Data Governance 52

Data Governance Data Scientist SQL Data Silos 52