Snorkel AI

JUNE 12, 2023

They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. In practice, data-centric operations have become one of the largest blockers to AI value realization.

AI 145

AI AI Algorithm Azure 145

Snorkel AI

JUNE 12, 2023

They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. In practice, data-centric operations have become one of the largest blockers to AI value realization.

AI 141

AI AI Algorithm Azure 141

Towards AI

APRIL 11, 2024

What’s AI Weekly This week in What’s AI, I dive into Mistral’s Mixture of Experts model. First things first, what you know about Mixture of Experts is wrong. This article focuses on three main questions: What matters for a high-quality face swap method? What has been done in the past? And what to do in practice?

AI 87

AI AI Machine Learning Machine Learning 87

Ocean Protocol

MARCH 14, 2024

Overview Ocean Data Farming (DF) is Ocean’s incentives program. In DF, you can earn OCEAN rewards by locking OCEAN, curating data, and making predictions (in Predictoor). Data Farming Round 80(DF80) has completed. To earn: allocate veOCEAN towards data assets, via the DF webapp ’s Volume DF page. OCEAN/week.

AI 59

AI AI 59

Tableau

MAY 1, 2024

Sarah Molina May 1, 2024 - 3:25pm Emily Kund Data Visualization Specialist: Visual Analytics and Accessibility Consultant Matt Francis Wellcome Trust Sanger Institute For the community, by the community. Now, let's explore what Emily and Matt have curated for this year's Vizzies Awards recap. It's a tie! It's a tie!

Tableau 57

Tableau Data Visualization Analytics Analytics 57

IBM Journey to AI blog

JUNE 14, 2023

You need to collect, curate, and annotate data for any specific task you want to perform. With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data.

AI 94

AI AI Natural Language Processing Data Lakes 94

IBM Journey to AI blog

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English.

AI 92

AI AI Algorithm Artificial Intelligence 92

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

AI 78

AI AI Data Warehouse ML 78

AssemblyAI

MARCH 8, 2024

We added four key use cases for LeMUR: Ask questions about your audio data : Learn how to leverage LeMUR's question-answering capabilities to extract insights from your audio files. Summarize your audio data : Discover techniques for generating concise summaries of lengthy audio content using LeMUR.  Sign up here

Python 59

Python AI AI 59

Precisely

MARCH 12, 2024

Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. Specifically, these leaders were focused on growing their revenue and increasing operational efficiency with advanced data analytics.

Data Quality 52

Data Quality ETL Database Analytics 52

IBM Journey to AI blog

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. What is available over the counter that may work instead? Curating AI responsibly is a sociotechnical challenge that requires a holistic approach. The NIH further stated that between 47.5 million and 51.6 million Americans cannot afford to go to a doctor.

AI 81

AI AI Artificial Intelligence Artificial Intelligence 81

Ocean Protocol

OCTOBER 5, 2023

Overview Data Farming Round 57 (DF57) has completed. Actively curate data by allocating veOCEAN towards data assets with high Data Consume Volume (DCV), to earn more. To earn: allocate veOCEAN towards data assets, via the DF webapp ’s Volume DF page. DF applies to data on all of them. Challenge DF.

AI 105

AI AI Artificial Intelligence Artificial Intelligence 105

Towards AI

MARCH 28, 2024

What’s AI Weekly AI is a shift in education that offers amazing opportunities for personalized learning, efficiency in teaching, and access to education for all ages. This technology will change how and what we learn and the skills we need for the future. The curse of loving what we do is we don’t know how to take a break.

AI 75

AI AI Data Lakes Azure 75

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Quality 52

Data Quality Data Governance Data Analysis Data Analysis 52

Snorkel AI

MAY 20, 2024

Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment “Superalignment,” once relegated to science fiction and computer science academia, has dominated the recent AI news cycle. The key blocker to enterprise alignment today is labeling and developing preference data.

AI 52

AI AI Computer Science Computer Science 52

Alation

FEBRUARY 3, 2022

What do all these disciplines have in common? What Is Continuous Improvement? The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. So how does data governance relate to DataOps? Data governance is a key data management process.

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Data Governance DataOps Data Quality Machine Learning 98

IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

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AI AI 123

AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

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ML ML AWS Data Science 91

Towards AI

JULY 20, 2023

Level Up: Mastering statistics with Python – part 3 – Stack Overflow Blog Welcome back! machinelearningmastery.com Top Data Labeling Software In-depth analysis of 10 data labeling tools for machine learning datasets. Oh and by the way, Maybe… the universe is just a giant neural network… ?‍♂️

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning Python 91

Tableau

JANUARY 20, 2021

Can you believe we’re entering the 10th year of this blog series? I personally want to thank every person who shared a tip, detailed technique, analytics that inspired them, or some wacky piece of data art. You can find Mark on LinkedIn , Twitter , and on his Sons of Hierarchies blog. Anna Foard’s From Data to a Story .

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Tableau Analytics Analytics Database 104

Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Preparing and Curating your data for Machine Learning A great video from Google. Preparing and Curating your data for Machine Learning A great video from Google. It is based upon this article: Preparing and curating your data for machine learning.

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Cloud Data Data Science Machine Learning Machine Learning 115

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Data Warehouse 57

Data Warehouse Data Engineering Data Engineer Data Engineering 57

Dataconomy

AUGUST 29, 2023

This article aims to demystify the concept of data storytelling, explaining why it’s more than just charts and graphs because understanding data is essential, but making it relatable and actionable is often a greater challenge. What is a data storytelling? How does data storytelling work?

Data Visualization 91

Data Visualization Data Analysis Data Analysis Analytics 91

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. Why do we need a data catalog?

Data Lakes 64

Data Lakes Data Analysis Data Analysis Big Data 64

Dataconomy

SEPTEMBER 18, 2023

In this comprehensive guide, we’ve distilled our collective knowledge to present you with a curated list of proven strategies for capitalizing on AI’s transformative potential. From blog posts to long-form articles, AI can assist in outlining, drafting, and even editing.

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AI AI Big Data Analytics Big Data Analytics 194

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Figure 1 – Data Catalog Implementation. Understanding the Adoption Challenges. See figure 1.)

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

IBM Journey to AI blog

APRIL 4, 2023

But the reason I believe this solution is so important is not because of what it does, but how it does it. The AI Commentary feature is a generative AI built from a large language model that was trained on a massive corpus of language data. Or what an engineer on an oil rig should do about a high pressure reading on one of the gauges.

AI 89

AI AI 89

Chatbots Life

OCTOBER 9, 2023

Think how hard and frustrating it is to read the latest news and understand what is happening. And people want to stay updated with what is happening. With Tailor, you can make sense of the noise: You just tell us what you are interested in, and we create a daily brief, customized for you. Social media refugees. News monks.

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Deep Learning Deep Learning AI AI 52

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

AI 98

AI AI Machine Learning Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. In this post, we show how Custom Queries can accurately extract data from checks that are complex, non-standard documents. personal or cashier’s checks), financial institution and country (e.g.,

ML 100

ML ML AWS Machine Learning 100

Smart Data Collective

OCTOBER 25, 2023

But what’s the secret behind their enhanced conversational abilities? Data Privacy Concerns: With chatbots collecting vast amounts of user data, concerns about data privacy and security are ever-present. The Future of Chatbots: What Lies Beyond the Horizon? But what does the future hold?

AI 105

AI AI Natural Language Processing Machine Learning 105

IBM Journey to AI blog

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. Artificial intelligence (AI) is polarizing.

AI 75

AI AI Algorithm Data Quality 75

Snorkel AI

OCTOBER 23, 2023

With Snorkel Flow, Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products. With over 10,000 product tags across 40 million products, creating and managing labeled data is an enormous and time-consuming effort. Manually labeling training data was prohibitively slow.

ML 64

ML ML Machine Learning Machine Learning 64

Ocean Protocol

OCTOBER 26, 2023

Overview Data Farming Round 60 (DF60) has completed. Actively curate data by allocating veOCEAN towards data assets with high Data Consume Volume (DCV), to earn more. To earn: allocate veOCEAN towards data assets, via the DF webapp ’s Volume DF page. DF applies to data on all of them. Challenge DF.

AI 59

AI AI Artificial Intelligence Artificial Intelligence 59

phData

AUGUST 29, 2023

In a perfect scenario, everything a data analyst would need to answer business users’ questions would live in cleaned, curated, and modeled tables in a data warehouse. The analyst could connect to the data warehouse and start developing reports. You want to switch to the new data source, which uses a different connector.

Power BI 52

Power BI Data Warehouse Database Data Analyst 52

Ocean Protocol

OCTOBER 12, 2023

Overview Data Farming Round 58 (DF58) has completed. Actively curate data by allocating veOCEAN towards data assets with high Data Consume Volume (DCV), to earn more. To earn: allocate veOCEAN towards data assets, via the DF webapp ’s Volume DF page. DF applies to data on all of them. Challenge DF.

AI 59

AI AI Artificial Intelligence Artificial Intelligence 59

Ocean Protocol

SEPTEMBER 28, 2023

Overview Data Farming Round 56 (DF56) has completed. Actively curate data by allocating veOCEAN towards data assets with high Data Consume Volume (DCV), to earn more. To earn: allocate veOCEAN towards data assets, via the DF webapp ’s Volume DF page. DF applies to data on all of them. Challenge DF.

AI 59

AI AI Artificial Intelligence Artificial Intelligence 59