Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Cloud based solutions are the future of the data warehousing market.

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Data Science 101

OCTOBER 24, 2020

This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved.

Data Science 136

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Dataconomy

SEPTEMBER 27, 2024

This experience helped me to improve my Python skills and get more practical experience working with big data. In 2020, I transitioned to product analytics at OZON Fintech ― one of the leading marketplaces in Russia. The integration of AI and machine learning into analytics is a hot topic right now.

Analytics 113

Analytics Analytics Big Data Big Data 113

AWS Machine Learning Blog

FEBRUARY 23, 2023

To address the large value challenge, you can utilize the Amazon SageMaker distributed data parallelism feature (SMDDP). SageMaker is a fully managed machine learning (ML) service. With data parallelism, a large volume of data is split into batches. This reduces the development velocity and ability to fail fast.

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Dataversity

JANUARY 11, 2022

In the last couple of years, we’ve seen rapid digital transformation take over with a large emphasis on cloud adoption. The disruptions that spiked cloud adoption back in 2020 aren’t behind us just yet and many organizations still have modernization efforts that need […].

Cloud Data 97

Cloud Data Analytics Analytics Machine Learning 97

Dataversity

FEBRUARY 10, 2021

Click to learn more about author Susana Duran. 2020 has been a year of rapid transformation. This is especially true of AI and machine learning — there’s been an almost 25 percent year-on-year increase in business use of AI […]. The advent of COVID-19 has accelerated many of the trends we have seen in recent years.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 13, 2023

Today, entire industries are looking to leverage the availability of complex space technologies and insights — from reusable rocket launchers to the use of open-source machine learning pipelines — to accelerate a new era of commercial space applications.

AI 109

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phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

DataRobot

DECEMBER 20, 2021

Or even if we have a pretty good understanding of the problem, there is not enough data to run a successful project and deliver impact back to the business. Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. In 2020, our team launched DataRobot Visual AI.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Alation

DECEMBER 15, 2022

March, 2020: Gartner names Alation a 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. June 2020: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 4th time. May 2021: Inc Magazine names Alation a Best Workplace of 2021.

Data Governance 52

Data Governance Data Quality Data Warehouse Data Scientist 52

DataRobot Blog

MARCH 17, 2022

At DataRobot, we also know that business apps can only enable our customers to nimbly act on insights when the data driving the models can be trusted. During the pandemic, we witnessed mature machine learning models failing overnight because models trained on 2019 data didn’t know what to do with 2020 market conditions.

AI 52

AI AI Machine Learning Machine Learning 52

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. The opportunity is to really figure out the value of retaining and processing this data.”.

Data Warehouse 52

Data Warehouse Data Governance Cloud Data Machine Learning 52

Dataversity

JUNE 22, 2021

Click to learn more about author Josh Good. Shifting to the cloud helped countless businesses keep the lights on in 2020, as widespread disruption gave them the means and motive to fully embrace Software-as-a-Service (SaaS) across their business.

Analytics 52

Analytics Analytics Augmented Analytics Cloud Data 52

Alation

JUNE 9, 2021

According to IDC , more than 59 zettabytes (59,000,000,000,000,000,000,000 bytes) of data was created, captured, and consumed in the world in 2020. It’s almost quaint to think that 20 years ago, organizations generally didn’t have enough data to perform desired analyses. The Role of Data Catalogs in Data Search & Discovery.

Data Governance 59

Data Governance Database Cloud Data Machine Learning 59

Data Science 101

OCTOBER 24, 2020

This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved.

Data Science 52

Data Science Data Scientist AI AI 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

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

Alation

OCTOBER 5, 2021

Without a doubt, no company can achieve lasting profitability and sustainable growth with a poorly constructed data governance methodology. Today, all companies must pursue data analytics, Machine Learning & Artificial Intelligence (ML & AI) as an integral part of any standard business plan.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

Mlearning.ai

JANUARY 26, 2023

EO data is not yet a commodity and neither is environmental information, which has led to a fragmented data space defined by a seemingly endless production of new tools and services that can’t interoperate and aren’t accessible by people outside of the deep tech community ( read more ). Video Presentation of the B3 Project’s Data Cube.

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AWS Database Data Science Clean Data 98

Google Research AI blog

JANUARY 18, 2023

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Language Models The progress on larger and more powerful language models has been one of the most exciting areas of machine learning (ML) research over the last decade.

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Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management.

Data Governance 52

Data Governance Cloud Data Data Quality Machine Learning 52

Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. Fergus Gloster: Von Big Data reden aber Small Data meinen.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147