CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 281

Strategy Technical Review Data Software Review 281

CIO

SEPTEMBER 2, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 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. ” Metaplane monitors data using anomaly detection models trained primarily on historical metadata. Image Credits: Metaplane.

Data 241

Data Software Review Technical Review Systems Review 241

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 239

Technical Advisors Artificial Inteligence Generative AI How To 239

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

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 85

Sustainability Company Machine Learning Artificial Inteligence 85

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 86

Big Data Technology Tools Cloud 86

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 114

Artificial Inteligence Trends Artificial Intelligence Machine Learning 114

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

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. In many instances, “lack of data” is literally the state of affairs: companies have yet to collect and store the data needed to train the ML models they desire.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

O'Reilly Media - Ideas

JULY 1, 2019

In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT.

Software Development 61

Software Development Artificial Inteligence Software Machine Learning 61

O'Reilly Media - Ideas

AUGUST 26, 2019

Continuous learning is critical to business success, but providing employees with an easily accessible, results-driven solution they can access from wherever they are, whenever they need it, is no easy feat. These are some of the features O’Reilly Online Learning provides to its 2.25 Machine Learning with Python Cookbook.

Artificial Inteligence 38

Artificial Inteligence Organization Machine Learning Artificial Intelligence 38

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. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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

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. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 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. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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. Besides, you’ll need to engage a team of skilled data specialists ( data engineers , data scientists, etc.)

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. As Jez Humble said in a Velocity Conference training session, “Metrics should be painful: metrics should be able to make you change what you’re doing.” Data Quality and Standardization.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

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

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Government 80

Government Artificial Inteligence Machine Learning Testing 80

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. Why are we focusing on this?

Data 52

Data Machine Learning Artificial Inteligence Agile 52

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 109

Enterprise Artificial Inteligence Government Budget 109

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

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

DECEMBER 14, 2022

During shipment, goods are carried using different types of transport: trucks, cranes, forklifts, trains, ships, etc. As a result, all transport machinery from forklifts and cranes to trucks, trains, and ships can handle these containers. Source: Stack Overflow Developer Survey 2022. Docker containers. billion pulls per month.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

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

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

OCTOBER 3, 2019

In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. It entails collecting data from internal and external sources, preprocessing, storing, analyzing it to get insights about people oh whose competence and commitment an organization performance depends. Forecasting employee turnover.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning.

Trends 134

Trends Technical Review Technology Software Review 134

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

O'Reilly Media - Ideas

APRIL 2, 2019

Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects.

Machine Learning 85

Machine Learning Artificial Inteligence Government Tools 85

DataRobot

NOVEMBER 12, 2021

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Their success, however, requires the right tools and training.

Machine Learning 98

Machine Learning Artificial Inteligence eBook Survey 98

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

NOVEMBER 7, 2023

Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data 354

Data Artificial Inteligence Architecture Analytics 354

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