TIBCO - Connected Intelligence

AUGUST 9, 2021

Among the many highlights of the 2021 TIBCO Analytics Forum (TAF) was getting to hear from industry-leading energy companies like Biota Technology, Petrobras, Birchcliff Energy, and more as they shared insights, case studies, and in-depth information on the solutions they created with the help of hyperconverged analytics from TIBCO Spotfire ®.

Energy 26

Energy Analytics Industry Organization 26

Datavail

MARCH 1, 2022

Power BI is a powerful and feature-rich suite of Microsoft tools for business intelligence and data visualization. With no-code capabilities, Power BI unlocks the power of AI and machine learning for businesses large and small. The post 4 Benefits of Power BI for Your Business appeared first on Datavail.

Analytics 52

Analytics Azure Mobile Report 52

Datavail

JULY 12, 2019

Aziza began the evening with coverage of a few customer case studies and some common messages between them all. Here are a few notable features we think are worth pointing out: Powered by the Autonomous Data Warehouse and machine learning. It’s automatic via plug-ins, extendable, and customizable. New unified homepage.

Analytics 40

Analytics Case Study Cloud Machine Learning 40

DataRobot

JUNE 23, 2022

Rather than waiting until a prediction has been made, savvy business people are focusing not on what machine learning (ML) techniques might result in an interesting prediction but instead are turning their minds to the question “What do I need to know to change the way we make decisions?”. Case Study.

Artificial Inteligence 59

Artificial Inteligence Policies Analysis Systems Review 59

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Business Problem & Background. Validation of results for consistency checks.

Data 80

Data Analytics Cloud Technical Review 80

CTOvision

OCTOBER 2, 2013

Three days of inspiring keynotes and intensely practical, information-rich sessions exploring the latest advances, case studies, and best practices. You can be anyone—from a person like me who is just learning, to someone who has a PhD in machine learning. Business Analyst. Business Systems Director.

Big Data 73

Big Data CTO Coach Conference Media 73

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The new query acceleration platforms aren’t standing still.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Datavail

SEPTEMBER 1, 2021

In many instances, businesses find that as they move through the states of business intelligence maturity, and as their companies grow, they need more space and/or power. Your Organization’s Business Intelligence Maturity. The fifth and final stage comes after your organization has mastered the learning curve.

Analytics 97

Analytics Technical Review Cloud Data 97

Altexsoft

MARCH 26, 2021

It is a powerful tool that can bring many benefits, but it involves monitoring a lot of internal and external variables so using advanced techniques and machine learning algorithms can help with such aspects of pricing strategy as demand forecasting , yield management,etc. Google Analytics.

Hotels 119

Hotels Engineering Software Review Travel 119

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JANUARY 17, 2023

Today, advanced revenue management solutions use machine learning algorithms to analyze massive amounts of data and come up with an optimal revenue strategy to maximize occupancy and bump up income (which, clearly, is the ultimate goal of any property manager). Data providers and business intelligence tools.

Strategy 52

Strategy Company Technical Review Software Review 52

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service. AI can help, but tread lightly.

Analytics 52

Analytics Data How To Machine Learning 52

Altexsoft

MARCH 31, 2020

Since the main users are business professionals, a common use case for data warehouses is business intelligence. Data lakes are mostly used by data scientists for machine learning projects. This analytics type is related with business intelligence (BI). Traditional analytics.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

DECEMBER 9, 2020

Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper. Analytics maturity model. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

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. Data engineering comes into its own.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Agile Engine

DECEMBER 27, 2023

Data analytics use cases by industry 7. Case study: leveraging AgileEngine as a data solutions vendor 11. It uses statistical algorithms, machine learning techniques, and modeling to make predictions about what might happen. Thoroughly evaluate their historical projects, case studies, and client feedback.

Big Data 52

Big Data Analytics Data Analysis 52