AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring. AWS met the criteria and was evaluated by IDC along with eight other vendors.

AWS 93

AWS ML ML Data Preparation 93

Tableau

JANUARY 27, 2021

With your input, we released more than 200 new capabilities across the Tableau platform in 2020. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. In 2020, we added the ability to write to external databases so you can use clean data anywhere.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

Dataconomy

OCTOBER 15, 2024

For some of the world’s most valuable companies, data forms the core of their business model. The scale of data production and transmission has grown exponentially. However, raw data alone doesn’t equate to actionable insights. Future trends Emerging trends are reshaping the data analytics landscape.

Data Modeling 113

Data Modeling Data Models Analytics Analytics 113

IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

Big Data 106

Big Data Big Data ML ML 106

DataRobot Blog

APRIL 1, 2018

This shift is driving a hybrid data integration mentality, where business teams are given curated data sandboxes so they can participate in building future use cases such as mobile applications, B2B solutions, or IoT analytics. DataRobot Data Prep. Duncan | Ehtisham Zaidi | Guido De Simoni | Douglas Laney. [5] Free Trial.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

Tableau

JANUARY 27, 2021

With your input, we released more than 200 new capabilities across the Tableau platform in 2020. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. In 2020, we added the ability to write to external databases so you can use clean data anywhere.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

ODSC - Open Data Science

AUGUST 25, 2023

Surveys by firms such as Boston Consulting Group and MIT found that 7 out of 10 AI projects failed to realize the impact that they were expected to have and AI implementation plans dropped from 20% in 2019 to 4% in 2020.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Algorithm 52

AWS Machine Learning Blog

MARCH 1, 2023

For example, since 2020, COVID has become a new entity type that businesses need to extract from documents. In order to do so, customers have to retrain their existing entity extraction models with new training data that includes COVID. The data can be accessed from AWS Open Data Registry.

Data Lakes 92

Data Lakes AWS ML ML 92

Heartbeat

MAY 16, 2023

ELECTRA ( Efficiently Learning an Encoder that Classifies Token Replacements Accurately ) is a state-of-the-art pre-training technique for natural language processing (NLP) developed by Google AI Language in 2020. With the development of the ELECTRA pre-training technique, sentiment analysis can be performed more accurately and efficiently.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Alation

FEBRUARY 13, 2020

Industry leaders like General Electric, Munich Re and Pfizer are turning to self-service analytics and modern data governance. They are leveraging data catalogs as a foundation to automatically analyze technical and business metadata, at speed and scale. “By

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

phData

AUGUST 8, 2023

For example, The A100 released back in 2020 represented a significant leap forward in performance due to its Ampere microarchitecture. This GPU is specifically designed to handle AI, Data Science , and computation-intensive workloads. They are equipped with Tensor Cores specifically designed to accelerate AI workloads.

AI 52

AI AI Deep Learning Deep Learning 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. You can see, this is a study that was done by Forrester back in 2020, and the key piece there is 14%. And this is not just us saying it. And I don’t think it’s changed that much.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. You can see, this is a study that was done by Forrester back in 2020, and the key piece there is 14%. And this is not just us saying it. And I don’t think it’s changed that much.

SQL 52

SQL ML ML Python 52

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 138

Machine Learning Machine Learning Data Preparation Data Scientist 138

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Historical data is normally (but not always) independent inter-day, meaning that days can be parsed independently.

AWS 107

AWS ML ML Clustering 107

DagsHub

JULY 15, 2024

T5 : T5 stands for Text-to-Text Transfer Transformer, developed by Google in 2020. Data Management Costs Data Collection : Involves sourcing diverse datasets, including multilingual and domain-specific corpora, from various digital sources, essential for developing a robust LLM.

Azure 52

Azure AI AI Database 52

Tableau

FEBRUARY 24, 2021

One concerning conclusion I drew was the narrow focus of existing tools toward visualizing machine learning models, and the lack of tools that support other critical aspects of data science work, such as data preparation, deployment, or communication.

Data Science 111

Data Science Data Scientist Data Visualization Computer Science 111

Kaggle

JULY 29, 2020

I was looking forward to the 2020 tournament and had a model I was very excited about. When the 2020 March Madness competition was cancelled and COVID-19 was really starting to hit hard, I wanted to find a way to get involved and help. Do you have any advice for those just getting started in data science?

ETL 71

ETL Data Scientist Machine Learning Machine Learning 71

Tableau

FEBRUARY 24, 2021

One concerning conclusion I drew was the narrow focus of existing tools toward visualizing machine learning models, and the lack of tools that support other critical aspects of data science work, such as data preparation, deployment, or communication.

Data Science 52

Data Science Data Scientist Data Visualization Computer Science 52

IBM Journey to AI blog

FEBRUARY 22, 2024

Detailing ethics practices throughout the AI lifecycle, corresponding to business (or mission) goals, data preparation and modeling, evaluation and deployment. In 2020, IBM donated its Responsible AI toolkits to the Linux Foundation to help build the future of fair, secure, and trustworthy AI. The CRISP-DM model is useful here.

AI 116

AI AI Artificial Intelligence Artificial Intelligence 116

AWS Machine Learning Blog

NOVEMBER 11, 2024

SageMaker Studio is an IDE that offers a web-based visual interface for performing the ML development steps, from data preparation to model building, training, and deployment. company to be valued at over $1 trillion in August 2018, then $2 trillion in August 2020, and $3 trillion in January 2022.

AI 115

AI AI ML ML 115