Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

Datavail

MARCH 24, 2020

With all the modern advancements in data management, organizations stand in need of a rock-solid data strategy. According to a survey by NewVantage Partners, 99 percent of Fortune 1000 executives want to create a data-driven culture, while just 32 percent believe they have achieved this goal.

Strategy 40

Strategy Data Policies Storage 40

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

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

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.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Data 108

Data Artificial Inteligence Machine Learning Hardware 108

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Surveys by Gartner , IDG , and Right scale in 2018 leave no doubt that cloud adoption is mainstream. Public cloud adoption led the way increasing to 92% in the Right Scale survey. The same survey showed that 81% having a multi-cloud strategy, leveraging almost 5 clouds on average.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

DECEMBER 14, 2020

Unstructured data, in turn, is often classified as qualitative data containing subjective information that can’t be handled using traditional methods and software analytics tools. For instance, qualitative data can flow from customer surveys or social media feedback in a text form. Data teams to handle data.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

DECEMBER 14, 2022

The heart and soul of Docker are containers — lightweight virtual software packages that combine application source code with all the dependencies such as system libraries (libs) and binary files as well as external packages, frameworks, machine learning models, and more. Source: Stack Overflow Developer Survey 2022.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

SEPTEMBER 21, 2023

From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey. Business workflow automation. Real-time behavior modeling with ML.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

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. Procurement analytics infrastructure.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

Education 99

Education Analytics Recruiting Programming 99

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

Machine Learning 99

Machine Learning Artificial Inteligence Technical Review Technology 99

Altexsoft

OCTOBER 3, 2019

In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. Organizations already use predictive analytics to optimize operations and learn how to improve the employee experience.

Analytics 16

Analytics Company Off-The-Shelf How To 16

TechCrunch

JANUARY 16, 2021

Subscribe to access all of our investor surveys, company profiles and other inside tech coverage for startups everywhere. A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. Oh, and one more thing. We just launched Extra Crunch in Israel.

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

CIO

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 336

Analytics Artificial Inteligence Artificial Intelligence Hardware 336

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

Tools 16

Tools Data Technical Advisors Technical Review 16

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. Data warehouse architecture. Predictive analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 14, 2023

Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices. Data sources component in a modern data stack. Data use component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59