O'Reilly Media - Ideas

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.

Survey 145

Survey Data Technical Review Training 145

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Compensate well.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C., Compensate well.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fleschut says he will also hire more IT personnel this year, especially data scientists, architects, and security and risk professionals.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Dzone - DevOps

JUNE 2, 2023

In a recent survey by Great Expectations , 91% of respondents revealed that data quality issues had some level of impact on their organization. It highlights the critical importance of data quality in data engineering pipelines.

Data 52

Data Machine Learning Artificial Inteligence Survey 52

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. We have learned to think and act quickly in our efforts to attract and retain top talent in these areas,” says Jeanine L.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

TechCrunch

JANUARY 10, 2023

The need for data observability, or the ability to understand, diagnose and orchestrate data health across various IT tools, continues to grow as organizations adopt more apps and services. The three co-founders originally launched Metaplane as a “customer success” product that analyzed a company’s data to prevent churn.

Data 241

Data Software Review Technical Review Systems Review 241

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. The one thing that all of them need to work smoothly is transparency.

Analytics 52

Analytics Data IoT Trends 52

O'Reilly Media - Ideas

JANUARY 8, 2019

Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

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. We found companies were planning to use deep learning over the next 12-18 months. Here are some notable findings from the survey: Companies are serious about machine learning and AI.

Sustainability 86

Sustainability Company Machine Learning Artificial Inteligence 86

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. This concurs with survey results we plan to release over the next few months. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning.

Big Data 87

Big Data Technology Tools Cloud 87

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.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Ideas

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. The results of our recent AI adoption survey underscore this trend.

Artificial Inteligence 115

Artificial Inteligence Trends Artificial Intelligence Machine Learning 115

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions. Only with SDX can companies do this across multiple clouds and on-premises. .

Data 108

Data Architecture Analytics Government 108

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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. It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

TIBCO - Connected Intelligence

JULY 29, 2019

While many organizations are investing heavily in data science and machine learning (ML), far fewer have found a way to monetize their initiatives and fully realize the value from the insights uncovered. See Gartner’s survey results below. Best Practices to Operationalize Data Science and Machine Learning.

Innovation 26

Innovation Artificial Inteligence Machine Learning Guidelines 26

TIBCO - Connected Intelligence

NOVEMBER 24, 2020

According to IDC’s 2019 Data Integration and Integrity End User Survey, “25% of analyst time is spent searching for data.” … To Data, Data Where We Can Find It. Standalone Versus Embedded Data Catalogs.

Data 26

Data How To Analytics Survey 26

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. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Existek

SEPTEMBER 28, 2023

Developers often have specialized roles based on their areas of expertise, like machine learning, computer vision, natural language processing, deep learning, robotics process automation, etc. Developers often work with data acquisition, data cleaning, data transformation, and data augmentation.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 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 Forecasting demand with machine learning in Walmart. data is analyzed. percent of U.S.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

O'Reilly Media - Ideas

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Qualitative experiments, including research surveys and sociological studies, can be very useful here. For example, many companies use recommendation engines to boost sales. Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 76

Cloud Data Analytics Machine Learning 76

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. 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.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. 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.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Source: Python Developers Survey 2020 Results. To be exact, it’s third only to JavaScript and HTML/CSS, among the most popular technologies in the Stackoverflow survey. many others.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

MARCH 2, 2023

Data governance creates a consistent view of data, establishing a common terminology while allowing individual business units to retain appropriate flexibility. Improved quality of data. Data governance creates a plan that ensures data accuracy, completeness, and consistency. sales specialists).

Government 52

Government Tools Data Weak Development Team 52

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning. year-over-year decline.

Trends 136

Trends Technical Review Technology Software Review 136

Altexsoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Altexsoft

NOVEMBER 22, 2019

The importance of collecting and structuring guest data is reflected in a recent survey among hotel chains across the world. Reputation management systems use natural language processing and machine learning to read, filter and classify reviews spotted on Google, TripAdvisor, Expedia, Booking.com as well as on your own website.

Hotels 18

Hotels Data Technical Review Systems Review 18