DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

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

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

Heartbeat

MAY 16, 2023

Photo by ROMAN ODINTSOV: [link] Introduction Did you know that machine learning is one of the most popular approaches for sentiment analysis? Machine learning algorithms can be trained on large datasets of labeled examples to automatically learn patterns and relationships between textual features and sentiment labels.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 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

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.

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.

SQL 52

SQL ML ML Python 52

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

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

AWS 107

AWS ML ML Clustering 107

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

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 134

Machine Learning Machine Learning Data Preparation Data Scientist 134

DagsHub

JULY 15, 2024

Source: Attention is all you need Mixture of Experts (MoE) : The MoE (Mixture of Experts) model is a machine learning approach that uses multiple specialized sub-models, known as experts, to process data and make predictions. T5 : T5 stands for Text-to-Text Transfer Transformer, developed by Google in 2020.

Azure 52

Azure AI AI Database 52

Kaggle

JULY 29, 2020

With sports (and everything else) cancelled, this data scientist decided to take on COVID-19 | A Winner’s Interview with David Mezzetti When his hobbies went on hiatus, Kaggler David Mezzetti made fighting COVID-19 his mission. Photo by Clay Banks on Unsplash Let’s learn about David! What made you decide to enter this competition?

ETL 71

ETL Data Scientist Data Science 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 111

Data Science Data Scientist Data Visualization Computer Science 111

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 2013, IBM embarked on the journey of explainability and transparency in AI and machine learning. The CRISP-DM model is useful here.

AI 116

AI AI Artificial Intelligence Artificial Intelligence 116

AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). He holds a Master’s degree in Machine Learning and Software Engineering from Syracuse University.

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