O'Reilly Media - Ideas

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data. Data scientists and data engineers are in demand.

Sustainability 88

Sustainability Company Artificial Inteligence Machine Learning 88

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Capgemini

JANUARY 17, 2023

For the second year in a row, Databricks recently partnered with MIT Technology Review Insights to survey 600 CIOs, CTOs, and CDOs from large enterprises. The key result: CxOs and boards recognize that their organizations’ ability to generate actionable insights from data, often in real-time, is of the highest strategic importance.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

O'Reilly Media - Ideas

FEBRUARY 11, 2019

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Companies are embracing AI and data technologies in the cloud.

Big Data 88

Big Data Technology Tools Cloud 88

Cloudera

JUNE 7, 2022

Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. Don’t just take our word for it, look at the stats.

Data 115

Data Architecture Analytics Government 115

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Existek

SEPTEMBER 28, 2023

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. The update with the latest trends and technologies in the AI field is also important.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

Technical Review 142

Technical Review Microservices Data Engineering Architecture 142

TechCrunch

AUGUST 16, 2022

A separate survey from Flexera found that optimizing the existing use of cloud services is a top initiative at 59% of companies — cost being the main motivation. . Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS.

Resources 175

Resources Cloud AWS Engineering 175

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. According to a recent Gartner survey of public cloud users, 81% of organizations are working with two or more public cloud providers.

Cloud 82

Cloud Data Analytics Machine Learning 82

Cloudera

OCTOBER 18, 2022

A 2021 survey of business found that 82% are spending far more than they need to on cloud costs, with 86% suggesting that they are unable to easily get a global view of cloud costs. This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses.

Cloud 93

Cloud Analytics AWS Engineering 93

O'Reilly Media - Ideas

MARCH 31, 2022

In December 2021 and January 2022, we asked recipients of our Data and AI Newsletters to participate in our annual survey on AI adoption. That wouldn’t be surprising, since both surveys were publicized through our mailing lists—and some people like responding to surveys. Are companies farther along in AI adoption?

Enterprise 114

Enterprise Artificial Inteligence Government Budget 114

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

O'Reilly Media - Ideas

MARCH 1, 2023

The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS). JavaScript shows up at, or near, the top on most programming language surveys, such as RedMonk’s rankings (usually in a virtual tie with Java and Python). Agriculture accounts for well under 1% of total AWS content usage.)

Trends 138

Trends Technical Review Technology Software Review 138

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Amazon SageMaker Autopilot: building models for one-click deployment on AWS. AWS started adding AutoML capabilities to its SageMaker platform in 2019.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” That’s certainly true of our audience as a whole.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Datavail

SEPTEMBER 8, 2022

The sources in your data integration pipeline may include a wide variety of files, databases, websites, and applications—both internal and external. According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes.

Data 40

Data Nonprofit Quality Assurance Education 40