Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. In short, CEOs are looking at however and wherever technology can be used to deliver continuous value that creates advantage and grows the business.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data.

Artificial Inteligence 115

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 115

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

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. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

CIO

JANUARY 20, 2023

Trusted and governed data: Modern BI platforms can combine internal databases with external data sources into a single data warehouse, allowing departments across an organization to access the same data at one time. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

Strategy Driven

APRIL 14, 2020

Risk management helps them stay on top of the market challenges and trends in the relevant industry. However, markets and industries are dynamic concepts. Interconnectedness comes with a great many benefits – quickly penetrating new markets and growing customer base, being just a few of them. More Precise Risk Models.

Analysis 43

Analysis Study Research Marketing 43

Kaseya

MAY 13, 2021

According to a Canalys report, the global spending on cloud infrastructure grew a sizeable 33% to $142 billion in 2020, with AWS having 31% of the market share, followed by Microsoft Azure at 20% and Google Cloud at 7%. Amazon Web Services (AWS) Overview. According to Forbes, 63% of enterprises are currently running apps on Azure.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 120

Data Analytics Banking Big Data 120

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Analytics in procurement and contract management. Quality management.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 24, 2020

As a haven to 16 companies from the Fortune 500 list, Atlanta strongly positioned itself both as an advantageous place to bootstrap a tech startup and a growing and prospering tech market that brings increasingly more tech talents to the table. What’s the real situation in the employment market for IT specialists? Cybersecurity.

Education 99

Education Analytics Recruiting Programming 99

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 95

Data Analytics Storage Big Data 95

Altexsoft

JANUARY 14, 2021

How to choose cloud data warehouse software: main criteria. Data storage tends to move to the cloud and we couldn’t pass by reviewing some of the most advanced data warehouses in the arena of Big Data. Criteria to consider when choosing cloud data warehouse products. While it starts at only $0.25

Backup 115

Backup Azure Software Review Systems Review 115

Sunflower Lab

APRIL 2, 2024

For CEOs, predictive analytics is an essential tool because it enables them to know which clients are likely to buy certain products or services, how the market trends will play out in the future, and how the business is performing – information needed to make the right strategic decisions that will support growth and profitability.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Excellent performance speed with super-fast data refreshes.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 79

Data Analytics Government Technical Review 79