O'Reilly Media - Ideas

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. In our 2020 survey, which reached the same audience, we had 1,239 responses. We were interested in answering two questions. This year, we had a total of 5,154. Respondents.

Enterprise 144

Enterprise Survey Weak Development Team Education 144

Confluent

FEBRUARY 28, 2019

So you can stream your events from Apache Kafka ® directly into Neo4j to create, update and enrich your graph structures. Then it is really up to you what you want to with the event data. The events can come from frontend systems, API notifications, other databases or streaming systems like Apache Spark and Apache Flink ®.

Open Source 85

Open Source Testing Data System 85

Cloudera

MARCH 10, 2022

We surveyed some of the most inspiring female leaders in data from across our global customers to find out how bias has affected their careers and how they believe we can break the cycle. . In many events, prejudice was veiled and difficult to materialize so that it could be fought objectively.”. Changing the mindset.

Data 119

Data Weak Development Team Big Data Energy 119

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. Predictive analytics is about detecting trends and coming up with accurate forecasts of future events. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Trigent

NOVEMBER 3, 2022

In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data. Interestingly, a whopping 91% of respondents in McKinsey’s Global Manufacturing & Supply Chain Pulse Survey 1 believe forecasting in the years ahead needs to be different given the disruption the pandemic has caused.

Analytics 52

Analytics Data IoT Trends 52

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. Specialists are often available to start work on the project quickly and at competitive rates.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

JUNE 6, 2019

Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. The Federal Deposit Insurance Corporation in their 2017 survey estimated that 6.5 percent of U.S. households (20,5 million people) didn’t have a checking or savings account. Source: Getty Images/ASOS.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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 112

Enterprise Artificial Inteligence Government Budget 112

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

CIO

DECEMBER 6, 2023

Overuse of AI More generally, the comprehensive transparency notes for Azure OpenAI helpfully warn that the service can produce inappropriate or offensive content as well as responses that are irrelevant, false, or misrepresent trusted data. Organizations may need to start setting these policies with more urgency.

Generative AI 334

Generative AI Artificial Inteligence Technical Review Weak Development Team 334

DataRobot

MARCH 16, 2023

The DataRobot team has been working hard on new integrations that make data scientists more agile and meet the needs of enterprise IT, starting with Snowflake. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production. DataRobot Launch Event From Vision to Value.

Data 52

Data Artificial Inteligence Machine Learning Agile 52

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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 92

Cloud Analytics AWS Engineering 92

BPM

JANUARY 18, 2019

This fragmentation could deal a killer blow to the promise of large-scale adoption: A Gartner survey found 24% of respondents cited scaling RPA as their number one problem. Top 5 List of what to expect in the BPM market in 2019: Event-Driven – The future of BPM is event-driven. Brian Reale ProcessMaker [link]. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

NOVEMBER 9, 2021

Traditionally, analytics is associated with business intelligence and data visualization that are focused on studying past events and current processes. Also known as predictive analytics, it’s about discovering hidden patterns and dependencies, forecasting future events, and supporting decisions with data. Extract data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

Well, knowing the probability of events like this one before they happen would bring extra time to retain a valuable specialist or search for another one. In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. What events or values are necessary to forecast? or “what is happening?”

Analytics 16

Analytics Company Off-The-Shelf How To 16

O'Reilly Media - Ideas

MARCH 2, 2020

We also recently conducted a survey looking at the state of data quality. As we suspected, the topic was brimming with interest—we quickly received more than 1,900 responses to our survey request. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Agile 21

Agile Artificial Inteligence Weak Development Team SCRUM 21

O'Reilly Media - Ideas

MARCH 1, 2023

Year-over-year growth for software development topics Software architecture Software architecture is a very broad category that encompasses everything from design patterns (which we also saw under software development) to relatively trendy topics like serverless and event-driven architecture. year-over-year decline. year-over-year decline).

Trends 135

Trends Technical Review Technology Software Review 135

Altexsoft

NOVEMBER 22, 2019

The importance of collecting and structuring guest data is reflected in a recent survey among hotel chains across the world. Data processing in a nutshell and ETL steps outline. But even perfectly cleansed and standardized, data is useless if it just stays in the warehouse. Improving customer experience.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

DECEMBER 9, 2020

Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Event streams.

Data 59

Data Technical Review Software Review Artificial Inteligence 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 110

Trends Technical Review Technology Artificial Inteligence 110