ODSC - Open Data Science

SEPTEMBER 25, 2023

Tapping into these schemas and pulling out machine learning-ready features can be nontrivial as one needs to know where the data entity of interest lives (e.g., customers), what its relations are, and how they’re connected, and then write SQL, python, or other to join and aggregate to a granularity of interest.

Data Preparation 104

Data Preparation Machine Learning Machine Learning ML 104

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.

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AWS Data Lakes ML ML 124

AWS Machine Learning Blog

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. This will land on a data flow page.

Data Preparation 114

Data Preparation AI AI Python 114

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

AWS Machine Learning Blog

MARCH 8, 2023

We create a custom training container that downloads data directly from the Snowflake table into the training instance rather than first downloading the data into an S3 bucket. Previously, he was a software solutions architect for deep learning, analytics, and big data technologies at Intel.

ML 135

ML ML AWS Python 135

AWS Machine Learning Blog

FEBRUARY 18, 2025

The assistant is connected to internal and external systems, with the capability to query various sources such as SQL databases, Amazon CloudWatch logs, and third-party tools to check the live system health status. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

AWS 75

AWS Database ETL AI 75

AWS Machine Learning Blog

JUNE 17, 2024

Being one of the largest AWS customers, Twilio engages with data and artificial intelligence and machine learning (AI/ML) services to run their daily workloads. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB. All pipeline parameters used in this solution exist in a single config.yml file.

ML 126

ML ML AWS Machine Learning 126

Dataconomy

OCTOBER 15, 2024

Forbes reports that global data production increased from 2 zettabytes in 2010 to 44 ZB in 2020, with projections exceeding 180 ZB by 2025 – a staggering 9,000% growth in just 15 years, partly driven by artificial intelligence. However, raw data alone doesn’t equate to actionable insights.

Data Modeling 113

Data Modeling Data Models Analytics Analytics 113

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

AWS 126

AWS Machine Learning Machine Learning ML 126

ODSC - Open Data Science

FEBRUARY 5, 2025

Common Pitfalls in LLM Development Neglecting Data Preparation: Poorly prepared data leads to subpar evaluation and iterations, reducing generalizability and stakeholder confidence. Real-world applications often expose gaps that proper data preparation could have preempted. Evaluation: Tools likeNotion.

Data Preparation 52

Data Preparation AI AI Data Scientist 52

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 professionals such as data scientists want to use the power of Apache Spark , Hive , and Presto running on Amazon EMR for fast data preparation; however, the learning curve is steep.

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AWS Data Lakes Clustering Data Preparation 98

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise.

AI 126

AI AI AWS ML 126

ODSC - Open Data Science

JUNE 12, 2023

Power BI Datamarts provide no-code/low-code datamart capabilities using Azure SQL Database technology in the background. The Power BI Datamarts support sensitivity labels, endorsement, discovery, and Row-Level Security ( RLS ), which help protect and manage the data according to the business requirements and compliance needs.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. Interprets data to uncover actionable insights guiding business decisions.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

AWS Machine Learning Blog

MAY 25, 2023

QuickSight connects to your data and combines data from many different sources, such as Amazon S3 and Athena. For our solution, we use Athena as the data source. Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL.

ML 101

ML ML AWS Database 101

AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

ML 98

ML ML Database AWS 98

AWS Machine Learning Blog

JANUARY 6, 2023

The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. TR customer data is changing at a faster rate than the business rules can evolve to reflect changing customer needs.

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AWS Data Warehouse ML ML 98

AWS Machine Learning Blog

APRIL 6, 2023

You can now optionally select or deselect columns, join tables by dragging another table into the Drag and drop datasets to join section, or write SQL queries to specify your data slice. For this post, we use all the data in the table. To import the data, choose Import data. Volkan Unsal is a Sr.

Machine Learning 105

Machine Learning Machine Learning ML ML 105

AWS Machine Learning Blog

MAY 31, 2024

This means that individuals can ask companies to erase their personal data from their systems and from the systems of any third parties with whom the data was shared. Data preparation Before creating a knowledge base using Knowledge Bases for Amazon Bedrock, it’s essential to prepare the data to augment the FM in a RAG implementation.

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AWS Machine Learning Machine Learning Database 134

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

Flipboard

MAY 21, 2025

It offers cost-effective vector storage in SQL, combining fast searches with relational database features. Serverless architectures and tools like AWS CDK have helped teams to minimize infrastructure management, focusing instead on data preparation and prompt engineering. Security remains a cornerstone of this workflow.

AWS 81

AWS AI AI Database 81

AWS Machine Learning Blog

AUGUST 4, 2023

Train a recommendation model in SageMaker Studio using training data that was prepared using SageMaker Data Wrangler. The real-time inference call data is first passed to the SageMaker Data Wrangler container in the inference pipeline, where it is preprocessed and passed to the trained model for product recommendation.

ML 98

ML ML AWS AI 98

IBM Journey to AI blog

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. Presto engine: Incorporates the latest performance enhancements to the Presto query engine.

AI 74

AI AI Machine Learning Machine Learning 74

Pickl AI

NOVEMBER 18, 2024

Challenges Learning Curve : Qlik’s unique Data Analysis approach requires a bit of a learning curve, especially for new users. Data Preparation : Preparing data in Qlik is not as intuitive as other BI tools, which may slow the time to actionable insights.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 24, 2023

Data Wrangler simplifies the process of data preparation and feature engineering like data selection, cleansing, exploration, and visualization from a single visual interface. Data Wrangler has more than 300 preconfigured data transformations that can effectively be used in transforming the data.

Data Quality 96

Data Quality Machine Learning Machine Learning Deep Learning 96

ODSC - Open Data Science

JANUARY 29, 2024

We also examined the results to gain a deeper understanding of why these prompt engineering skills and platforms are in demand for the role of Prompt Engineer, not to mention machine learning and data science roles. Kubernetes: A long-established tool for containerized apps.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. However, a master’s degree or specialised Data Science or Machine Learning courses can give you a competitive edge, offering advanced knowledge and practical experience.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

OCTOBER 17, 2024

Tools like Apache NiFi, Talend, and Informatica provide user-friendly interfaces for designing workflows, integrating diverse data sources, and executing ETL processes efficiently. Choosing the right tool based on the organisation’s specific needs, such as data volume and complexity, is vital for optimising ETL efficiency.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

ODSC - Open Data Science

AUGUST 9, 2023

For a comprehensive understanding of the practical applications, including a detailed code walkthrough from data preparation to model deployment, please join us at the ODSC APAC conference 2023. We have a number of records, each with A target (or label ) column, dessert, containing a binary input (1.0 if the recipe is a dessert, 0.0

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies.

AWS 140

AWS ML ML AI 140

AWS Machine Learning Blog

JANUARY 28, 2025

RAG retrieves data from a preexisting knowledge base (your data), combines it with the LLMs knowledge, and generates responses with more human-like language. However, in order for generative AI to understand your data, some amount of data preparation is required, which involves a big learning curve.

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AWS Database Clustering Data Preparation 84

How to Learn Machine Learning

MAY 3, 2025

Sit back, relax, and enjoy this comprehensive guide to GCP AI Platform your ticket to leveraging cutting-edge artificial intelligence in the cloud. End-to-End ML Operations From data preparation to model deployment and monitoring, GCP AI Platform supports the entire machine learning lifecycle.

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Machine Learning Machine Learning AI AI 59