ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Well, these libraries will give you a solid start.

Data Lakes 52

Data Lakes ML ML Citizen Data Scientist 52

ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions.

Data Lakes 52

Data Lakes ML ML Analytics 52

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. Enterprises can use no-code ML solutions to streamline their operations and optimize their decision-making without extensive administrative overhead.

Machine Learning 118

Machine Learning Machine Learning Data Governance ML 118

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

SQL 122

SQL Data Lakes Data Analyst AWS 122

Flipboard

NOVEMBER 17, 2023

Amazon SageMaker enables enterprises to build, train, and deploy machine learning (ML) models. Amazon SageMaker JumpStart provides pre-trained models and data to help you get started with ML. MongoDB vector data store MongoDB Atlas Vector Search is a new feature that allows you to store and search vector data in MongoDB.

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K-nearest Neighbors AWS Clustering Database 170

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Specifically, we cover the computer vision and artificial intelligence (AI) techniques used to combine datasets into a list of prioritized tasks for field teams to investigate and mitigate. Data preparation SageMaker Ground Truth employs a human workforce made up of Northpower volunteers to annotate a set of 10,000 images.

AWS 119

AWS Data Lakes ML ML 119

Data Science 101

NOVEMBER 11, 2019

It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service. Data Science Announcements from Microsoft Ignite Many other services were announced such as: Azure Quantum, Project Silica, R support in Azure ML, and Visual Studio Online. Amazon Web Services.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

AWS Machine Learning Blog

MARCH 1, 2023

This combination of great models and continuous adaptation is what will lead to a successful machine learning (ML) strategy. MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle.

Data Lakes 98

Data Lakes AWS ML ML 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. This also led to a backlog of data that needed to be ingested.

Data Science 72

Data Science AWS Hadoop Data Scientist 72

IBM Journey to AI blog

APRIL 24, 2023

By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement. Data warehouse is the base architecture for artificial intelligence and machine learning (AI/ML) solutions as well.

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Data Warehouse Data Lakes Database Big Data 112

AWS Machine Learning Blog

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts.

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AWS ML ML Machine Learning 127

Data Science Connect

JULY 28, 2023

Cloud-Based IoT Platforms Cloud-based IoT platforms offer scalable storage and computing resources for handling the massive influx of IoT data. These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently.

Internet of Things 130

Internet of Things Data Engineer Data Engineering Data Engineering 130

AWS Machine Learning Blog

AUGUST 4, 2023

If you are a returning user to SageMaker Studio, in order to ensure Salesforce Data Cloud is enabled, upgrade to the latest Jupyter and SageMaker Data Wrangler kernels. This completes the setup to enable data access from Salesforce Data Cloud to SageMaker Studio to build AI and machine learning (ML) models.

ML 96

ML ML AWS AI 96

AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration.

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AWS AI AI Python 127

ODSC - Open Data Science

MAY 8, 2023

Article on Azure ML by Bethany Jepchumba and Josh Ndemenge of Microsoft In this article, I will cover how you can train a model using Notebooks in Azure Machine Learning Studio. Using Azure ML, you can train your model in three ways: Automated ML: This is where you upload your data and have the workspace automatically train on your behalf.

Azure 52

Azure ML ML Data Modeling 52

IBM Journey to AI blog

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

Data Lakes 95

Data Lakes Data Warehouse AI AI 95

ODSC - Open Data Science

APRIL 27, 2023

5 Concerns for ML Safety in the Era of LLMs and Generative AI The growth of large language models and generative AI has spurred new concerns for ML safety and cybersecurity. 5 Data Engineering and Data Science Cloud Options for 2023 AI development is incredibly resource intensive.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

JANUARY 19, 2024

Staying ahead of key technology trends By now, it’s abundantly clear that technologies like artificial intelligence (AI) and machine learning (ML) will revolutionize how customer-centric organizations interact and deliver value to all stakeholders, especially their customers.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence ML ML 108

AWS Machine Learning Blog

MARCH 1, 2023

Flywheel creates a data lake (in Amazon S3) in your account where all the training and test data for all versions of the model are managed and stored. Periodically, the new labeled data (to retrain the model) can be made available to flywheel by creating datasets. One for the data lake for Comprehend flywheel.

Data Lakes 88

Data Lakes AWS ML ML 88

AWS Machine Learning Blog

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. Data is frequently kept in data lakes that can be managed by AWS Lake Formation , giving you the ability to implement fine-grained access control using a straightforward grant or revoke procedure.

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AWS Data Lakes Clustering Data Preparation 97

Towards AI

MARCH 28, 2024

Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills. Streamline ML Workflow with MLflow — II by ronilpatil This article explains how to leverage MLflow to track machine learning experiments, register a model, and serve the model into production. Think a friend would enjoy this too?

AI 97

AI AI Data Lakes Azure 97

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 52

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. Artificial intelligence (AI). Well, let’s find out.

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AWS Cloud Computing Data Lakes Database 138

Alation

FEBRUARY 1, 2022

Sheer volume of data makes automation with Artificial Intelligence & Machine Learning (AI & ML) an imperative. Menninger outlines how modern data governance practices may deploy a basic repository of data; this can help with some level of automation. Are we maximizing the benefits from data lakes?

Data Lakes 52

Data Lakes Data Governance ML ML 52

AWS Machine Learning Blog

JANUARY 29, 2025

However, even in a decentralized model, often LOBs must align with central governance controls and obtain approvals from the CCoE team for production deployment, adhering to global enterprise standards for areas such as access policies, model risk management, data privacy, and compliance posture, which can introduce governance complexities.

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AWS AI AI Database 87

AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. He has over 10 years of experience in planning, building, launching, and managing world-class solutions for enterprise customers, including AI/ML and cloud solutions. Follow him on LinkedIn. You can connect with him on LinkedIn.

AWS 120

AWS AI AI ML 120

Towards AI

MARCH 3, 2025

It offers an extensive suite of AI and ML services, including: Amazon SageMaker for end-to-end ML model development.EC2 GPU instances (NVIDIA A100, V100, etc.) It offers an extensive suite of AI and ML services, including: Amazon SageMaker for end-to-end ML model development.EC2 GPU instances (NVIDIA A100, V100, etc.)

Data Lakes 57

Data Lakes AI AI AWS 57

AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake.

AWS 123

AWS AI AI Natural Language Processing 123

AWS Machine Learning Blog

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines.

AWS 119

AWS Natural Language Processing Machine Learning Machine Learning 119

IBM Journey to AI blog

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

AI 100

AI AI Machine Learning Machine Learning 100

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using Amazon Managed Service for Apache Flink and other AWS managed services. This solution employs machine learning (ML) for anomaly detection, and doesn’t require users to have prior AI expertise.

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AWS ML ML Apache Kafka 107

ODSC - Open Data Science

FEBRUARY 24, 2023

Its goal is to help with a quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

AWS Machine Learning Blog

DECEMBER 18, 2023

By using these capabilities, businesses can efficiently store, manage, and analyze time-series data, enabling data-driven decisions and gaining a competitive edge. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs.

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Clustering AWS Database ML 121