Flipboard

JANUARY 6, 2025

Helping government agencies adopt AI and ML technologies Precise works closely with AWS to offer end-to-end cloud services such as enterprise cloud strategy, infrastructure design, cloud-native application development, modern data warehouses and data lakes, AI and ML, cloud migration, and operational support.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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AWS Algorithm Machine Learning Machine Learning 119

AWS Machine Learning Blog

JUNE 5, 2023

Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet due to its compact and highly efficient format. Athena allows applications to use standard SQL to query massive amounts of data on an S3 data lake.

Machine Learning 83

Machine Learning Machine Learning AWS Data Lakes 83

ODSC - Open Data Science

FEBRUARY 24, 2023

Apache Superset remains popular thanks to how well it gives you control over your data. Algorithm-visualizer GitHub | Website Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. The no-code visualization builds are a handy feature.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

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AWS Cloud Computing Data Lakes Database 138

Dataconomy

FEBRUARY 20, 2024

Poems penned by algorithms, paintings birthed from code – it felt like witnessing the singularity in real-time. And let’s not forget the fundamental question: what even constitutes “creativity” in the face of an algorithm? It can dredge up connections and inspirations from the depths of its data lakes.

AI 114

AI AI Algorithm Data Lakes 114

Flipboard

MARCH 7, 2023

Then the transcripts of contacts become available to CSBA to extract actionable insights through millions of customer contacts for the sellers, and the data is stored in the Seller Data Lake. After the AI/ML-based analytics, all actionable insights are generated and then stored in the Seller Data Lake.

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ML ML AWS AI 123

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

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Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

FEBRUARY 8, 2023

They made clear that the wealth of data being made available would be critical in creating new tools in the fight against cancer. Healthineers said, “ We strongly support the ambition to accelerate the development of algorithms by creating larger data lakes of critical medical images. ”

Data Science 98

Data Science Artificial Intelligence Artificial Intelligence AI 98

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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Data Science Data Scientist Computer Science Computer Science 98

IBM Data Science in Practice

JANUARY 9, 2024

Each of these accelerators leverages state-of-the-art algorithms and machine learning techniques to identify anomalies accurately and in real-time. Solution 2: Migrate 3rd party models to MAS (Custom Model) This data science solution predicts anomalies in air compressor assets using an isolation forest model.

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ML ML AI AI 130

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

MARCH 23, 2023

Real-time Analytics & Built-in Machine Learning Models with a Single Database Akmal Chaudhri, Senior Technical Evangelist at SingleStore, explores the importance of delivering real-time experiences in today’s big data industry and how data models and algorithms rely on powerful and versatile data infrastructure.

Data Science 52

Data Science Data Lakes Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

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Algorithm Data Scientist Machine Learning Machine Learning 78

Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Towards AI

FEBRUARY 21, 2023

Image by the Author: AI business use cases Defining Artificial Intelligence Artificial Intelligence (AI) is a term used to describe the development of robust computer systems that can think and react like a human, possessing the ability to learn, analyze, adapt and make decisions based on the available data.

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Artificial Intelligence Artificial Intelligence AI AI 98

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

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AI AI Tableau Data Scientist 98

AWS Machine Learning Blog

DECEMBER 4, 2023

His focus was building machine learning algorithms to simulate nervous network anomalies. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir.

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AWS Predictive Analytics ML ML 113

IBM Journey to AI blog

MAY 9, 2023

models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. All watsonx.ai Efficiency and sustainability are core design principles for watsonx.ai.

AI 139

AI AI Data Quality Data Lakes 139

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

AI 95

AI AI Tableau Data Scientist 95

Ocean Protocol

AUGUST 10, 2023

Ocean Protocol’s smart contracts include permissioned datatokens and data NFTs that enable IP rights management in data wallets. Ocean Protocol tools are built to extract value from data by improving its algorithmic accessibility & security. However, to gain such smart recommendations, we sacrifice our data privacy.

Business Intelligence 52

Business Intelligence Business Intelligence Data Lakes Algorithm 52

AWS Machine Learning Blog

DECEMBER 20, 2023

A novel approach to solve this complex security analytics scenario combines the ingestion and storage of security data using Amazon Security Lake and analyzing the security data with machine learning (ML) using Amazon SageMaker. SageMaker supports two built-in anomaly detection algorithms: IP Insights and Random Cut Forest.

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AWS ML ML Algorithm 124

Women in Big Data

NOVEMBER 27, 2024

Architecture The architecture includes two types of SQL pools: Dedicated predictable workloads and serverless for on-demand querying Support for Apache Spark for big data processing. architecture for both structured and unstructured data. The Message Passing Layer ensures efficient communication between components.

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Data Warehouse Big Data Big Data Azure 59

IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. models are trained on IBM’s curated, enterprise-focused data lake.

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AI AI Machine Learning Machine Learning 70

Tableau

FEBRUARY 17, 2021

Developed by Salesforce, Einstein Discovery enables people to create powerful predictive models without needing to write algorithms. This offers everyone from data scientists to advanced analysts to business users an intuitive, no-code environment that empowers quick and confident decisions guided by ethical, transparent AI.

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Tableau Azure Data Quality ML 102

AWS Machine Learning Blog

JANUARY 29, 2025

Data sources, embeddings, and vector store Organizations domain-specific data, which provides context and relevance, typically resides in internal databases, data lakes, unstructured data repositories, or document stores, collectively referred to as organizational data sources or proprietary data stores.

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AWS AI AI Database 80

AWS Machine Learning Blog

DECEMBER 18, 2023

By harnessing the transformative potential of MongoDB’s native time series data capabilities and integrating it with the power of Amazon SageMaker Canvas , organizations can overcome these challenges and unlock new levels of agility. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

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Clustering AWS Database ML 120

DagsHub

NOVEMBER 11, 2024

We use data-specific preprocessing and ML algorithms suited to each modality to filter out noise and inconsistencies in unstructured data. NLP cleans and refines content for text data, while audio data benefits from signal processing to remove background noise. Such algorithms are key to enhancing data.

AI 52

AI AI Data Lakes Database 52

IBM Journey to AI blog

JUNE 14, 2023

Sometimes, you don’t know what data a model was trained on because the creators of those models won’t tell you. It becomes difficult to ensure that the model algorithms outputs aren’t biased, or even toxic. And those massive large-scale datasets contain some of the darker corners of the internet.

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AI AI Natural Language Processing Data Lakes 103

ODSC - Open Data Science

OCTOBER 25, 2024

Building an Open, Governed Lakehouse with Apache Iceberg and Apache Polaris (Incubating) Yufei Gu | Senior Software Engineer | Snowflake In this session, you’ll explore how open-source table formats are revolutionizing data architectures by enabling the power and efficiency of data warehouses within data lakes.

AI 52

AI AI Data Scientist Data Lakes 52

ODSC - Open Data Science

FEBRUARY 15, 2024

Engineering Knowledge Graph Data for a Semantic Recommendation AI System Ethan Hamilton | Data Engineer | Enterprise Knowledge This in-depth session will teach how to design a semantic recommendation system. These systems are not only useful for a wide range of industries, they are fun for data engineers to work on.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

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Machine Learning Machine Learning ML ML 134

Snorkel AI

JULY 12, 2024

Key aspects of model-centric AI include: Algorithm Development: Creating and optimizing algorithms to improve a model’s performance. Data-Centric AI Data-centric AI is an approach to artificial intelligence development that focuses on improving the quality and utility of the data used to train AI models.

AI 52

AI AI Data Lakes Artificial Intelligence 52

Snorkel AI

JULY 12, 2024

Key aspects of model-centric AI include: Algorithm Development: Creating and optimizing algorithms to improve a model’s performance. Data-Centric AI Data-centric AI is an approach to artificial intelligence development that focuses on improving the quality and utility of the data used to train AI models.

AI 52

AI AI Data Lakes Artificial Intelligence 52

IBM Journey to AI blog

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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Machine Learning Machine Learning ML ML 52