ODSC - Open Data Science

APRIL 25, 2023

Hands-on Data-Centric AI: Data Preparation Tuning — Why and How? Be sure to check out her talk, “ Hands-on Data-Centric AI: Data preparation tuning — why and how? Nevertheless, we haven’t yet nailed the process of building a successful and business-meaningful AI solution.

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Data Preparation Machine Learning Machine Learning AI 52

Flipboard

DECEMBER 27, 2023

Presented by SQream The challenges of AI compound as it hurtles forward: demands of data preparation, large data sets and data quality, the time sink of long-running queries, batch processes and more. In this VB Spotlight, William Benton, principal product architect at NVIDIA, and others explain how …

Data Preparation 155

Data Preparation Analytics Analytics Data Quality 155

Dataconomy

SEPTEMBER 13, 2023

AI annotation jobs are on the rise; naturally, people started asking what exactly is data annotation. AI annotation jobs: What is data annotation? AI still needs a human hand to operate efficiently; for how long, though? Image Credit ) Why does data annotation matter?

Machine Learning 195

Machine Learning Machine Learning AI AI 195

IBM Data Science in Practice

JANUARY 9, 2024

One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI). However, embarking on the journey of implementing artificial intelligence (AI) in your asset performance management strategy can be both exciting and daunting.

ML 130

ML ML AI AI 130

Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Many Discord users are high school and undergraduate college students with no AI/ML or software engineering experience. Describe any data preparation and feature engineering steps that you have done.

AI 86

AI AI Data Preparation ML 86

IBM Journey to AI blog

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance?

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AI AI Artificial Intelligence Artificial Intelligence 91

AWS Machine Learning Blog

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

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AWS AI AI ML 117

DagsHub

MAY 6, 2024

Intro In the rapidly evolving field of machine learning (ML) and artificial intelligence (AI), startups like MACSO are at the forefront of innovation, pushing the boundaries of what's possible with AI on edge devices. About MACSO MACSO is a pioneering technology company specializing in AI for edge computing.

ML 52

ML ML AI AI 52

Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

Women in Big Data

APRIL 30, 2024

AI for Utilities Then Dr. Sridevi described the collaborative work on the project which covered Data Acquisition, Data preparation, Data reception, and Computational challenges. Hoping to see more Women in Big Data projects as we continue learning from the DataCamp courses. Sridevi Pudipeddi is on our side!

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Big Data Big Data AI AI 52

Towards AI

FEBRUARY 9, 2024

Author(s): John Loewen, PhD Originally published on Towards AI. My methods of using GPT-4 to optimize my data visual workflow For the past 6 months, I have been a heavy daily GPT-4 user. I am most often prompting this LLM for data visualization code and on-the-fly-visuals because it does all these steps very efficiently.

Data Visualization 101

Data Visualization Data Preparation AI AI 101

Towards AI

AUGUST 24, 2023

Last Updated on August 25, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. I also have a GitHub repo with lots of notes and links to AI/ML articles on various topics LearnAI. I also have a GitHub repo with lots of notes and links to AI/ML articles on various topics LearnAI.

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AI AI Algorithm ML 92

Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Jason Leung on Unsplash AI is still considered a relatively new field, so there are really no guides or standards such as SWEBOK. 85% or more of AI projects fail [1][2]. 85% or more of AI projects fail [1][2].

AI 83

AI AI Machine Learning Machine Learning 83

Smart Data Collective

MAY 13, 2022

trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). AI is undoubtedly a gamechanger for business intelligence.

Analytics 135

Analytics Analytics AI AI 135

Data Science Dojo

MARCH 7, 2023

This includes sourcing, gathering, arranging, processing, and modeling data, as well as being able to analyze large volumes of structured or unstructured data. The goal of data preparation is to present data in the best forms for decision-making and problem-solving.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Machine Learning 221

Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. This article is intended as an outline of the key differences rather than a comprehensive discussion on the topic of the AI software process. MLOps is the intersection of Machine Learning, DevOps, and Data Engineering.

Machine Learning 88

Machine Learning Machine Learning AI AI 88

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. Clean data is important for good model performance.

Data Preparation 74

Data Preparation AI AI Database 74

Data Science Dojo

AUGUST 28, 2023

From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. As LLMs redefine AI capabilities, mastering LLMOps becomes your compass in this dynamic landscape. Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production.

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

KDnuggets

MARCH 9, 2020

Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?

Machine Learning 121

Machine Learning Machine Learning Data Preparation Data Scientist 121

Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI. text, images, videos).

AI 52

AI AI Data Governance Data Quality 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. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

AWS 122

AWS AI AI ML 122

DataRobot

MARCH 2, 2021

Every day, millions of people interact with AI systems, often without knowing it. Whether it’s used to make a product or other recommendation, apply for a loan, or filter spam from your inbox, AI is changing the world. The enrollment period for the second AI for Good cohort begins March 1. Our Program. The First Round.

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AI AI Data Scientist Data Preparation 98

AWS Machine Learning Blog

OCTOBER 5, 2023

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend.

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Data Preparation ML ML AWS 96

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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AI AI ML ML 103

Becoming Human

MAY 11, 2023

It covers everything from data preparation and model training to deployment, monitoring, and maintenance. MLOps projects are becoming increasingly popular as companies seek to leverage the power of AI to gain a competitive edge.

Machine Learning 78

Machine Learning Machine Learning Cloud Computing DataOps 78

Google Research AI blog

JULY 20, 2023

Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context : that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Posted by Donald Martin, Jr.,

AI 81

AI AI ML ML 81

Pickl AI

FEBRUARY 4, 2024

The platform employs an intuitive visual language, Alteryx Designer, streamlining data preparation and analysis. With Alteryx Designer, users can effortlessly input, manipulate, and output data without delving into intricate coding, or with minimal code at most. What is Alteryx Designer? Is Alteryx similar to Tableau?

Data Preparation 52

Data Preparation Tableau Data Visualization SQL 52

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

Exploratory Data Analysis 72

Exploratory Data Analysis AI AI ML 72

AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. The inference endpoints are connected with Data Cloud to drive predictions in real time.

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AWS ML ML AI 73

ODSC - Open Data Science

FEBRUARY 12, 2024

Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights. Clean Your Data Before Analysis Overlooking the need for data cleansing is one of the most common mistakes hindering analytics accuracy.

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Augmented Analytics Analytics Analytics Data Science 98

Towards AI

APRIL 27, 2023

Last Updated on May 2, 2023 by Editorial Team Author(s): Puneet Jindal Originally published on Towards AI. 80% of the time goes in data preparation ……blah blah…. garbage in garbage out for AI model accuracy….blah SAM from Meta AI — the chatGPT moment for computer vision AI It’s a disruption. blah blah…….

Data Preparation 87

Data Preparation ML ML AI 87

Dataversity

SEPTEMBER 8, 2023

AI isn’t here to replace data analysts; it’s here to unlock their full potential and dramatically scale their work. With AI as their powerful ally, data analysts can unlock latent value in data and lead the charge in the fourth industrial revolution.

Data Analyst 64

Data Analyst AI AI Data Preparation 64

KDnuggets

OCTOBER 31, 2019

AI-based models are highly dependent on accurate, clean, well-labeled, and prepared data in order to produce the desired output and cognition. These models are fed with bulky datasets covering an array of probabilities and computations to make its functioning as smart and gifted as human intelligence.

AI 127

AI AI Data Preparation 127

AWS Machine Learning Blog

FEBRUARY 6, 2024

We address this skew with generative AI models (Falcon-7B and Falcon-40B), which were prompted to generate event samples based on five examples from the training set to increase the semantic diversity and increase the sample size of labeled adverse events. Outside of work, when not discussing AI in radiology, she likes to run and hike.

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AWS ML ML Data Preparation 97

AWS Machine Learning Blog

NOVEMBER 16, 2023

One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

AWS 89

AWS ML ML AI 89

Dataconomy

JULY 28, 2023

These tools offer a wide range of functionalities to handle complex data preparation tasks efficiently. The tool also employs AI capabilities for automatically providing attribute names and short descriptions for reports, making it easy to use and efficient for data preparation.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Snorkel AI

AUGUST 17, 2023

The latter will map the model’s outputs to final labels and significantly ease the data preparation process. Predictive pipelines for gen AI begin with a function that accepts the text document to examine and inserts it into the prompt template, resulting in a complete prompt. Build code to handle the LLM’s inputs and outputs.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52