TechCrunch

AUGUST 2, 2022

xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Enterprise Automotive 207

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

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

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 124

Data Analytics Banking Big Data 124

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 120

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 120

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 68

Course Training Artificial Inteligence Software Review 68

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

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

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

Apiumhub

APRIL 6, 2021

On Towards Data Science you will get high-quality content that is specifically designed for data science audiences. You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Dataconomy Dataconomy is another resource for prospective data scientists.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

Hu's Place - HitachiVantara

JUNE 12, 2018

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 52

Course Training Artificial Inteligence Software Review 52

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Agile 95

Agile Retail Analytics Enterprise 95

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

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 102

Data Analytics Storage Big Data 102

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

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

Kaseya

MAY 13, 2021

Some of the key functionalities that Azure offers include: Computing power Database storage Content delivery network (CDN) Caching Business Analytics SQL database Virtual services Application and infrastructure migration Media services Mobile services. According to Forbes, 63% of enterprises are currently running apps on Azure.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

JANUARY 13, 2021

Utilising this centralised platform enhances UOB’s ability to roll out artificial intelligence and machine learning capabilities to more parts of the business quickly and consistently. . Today, the EDAG platform is loaded with more than 30,000 files a day from across the bank’s various data systems.

Banking 58

Banking Artificial Inteligence Data Artificial Intelligence 58

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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. Only with such a holistic approach to data, you can build a prosperous business.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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 Architecture 115

Strategy Driven

APRIL 14, 2020

AI, machine learning, and big data are driving changes across verticals. Her famous articles are on the topic of Business Research, Market Research, Business Analytics and many more. AI To Help Human-led Risk Management. Risk analysis is not an exception.

Analysis 42

Analysis Study Research Marketing 42

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

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Big Data 8

CIO

DECEMBER 11, 2024

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. It also needs to champion the democratization of data by ensuring the data catalog contains meaningful, reliable information and is coupled with proper access controls.

Data 166

Data Technical Review Software Review Government 166

AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. If you want your business to get started with generative AI, visit Generative AI on AWS and connect with a specialist, or quickly build a generative AI application in PartyRock.

Artificial Inteligence 111

Artificial Inteligence Generative AI Energy Knowledge Base 111

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 84

Data Analytics Government Technical Review 84

Sunflower Lab

APRIL 2, 2024

Use Case: Demand Forecasting for Manufacturing Business Scenario: A manufacturing company needs to predict demand for its products to optimize production and inventory management. Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately.

Analytics 40

Analytics Artificial Inteligence Machine Learning Analysis 40