Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. We are honored to receive recognition as a leader from Forrester for Cloudera Machine Learning (CML) — our enterprise machine learning experience for Cloudera Data Platform (CDP).

Machine Learning 95

Machine Learning Predictive Analytics Analytics Enterprise 95

CIO Business Intelligence

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

David Menninger's Analyst Perspectives

MAY 15, 2025

For example, while 45% of larger enterprises report that financial analysis is performed very well, only 29% of midsize organizations achieve that level. This shortage is causing executives to take a fresh look at software that manages the full close-consolidate-report cycle end to end.

Enterprise 130

Enterprise Management Finance Cost-Benefit 130

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. more machine learning use casesacross the company.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

BizAcuity

APRIL 28, 2019

According to a Federal Bank report, more than $600 billion of household debt in the U.S. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

AWS Big Data

JANUARY 15, 2025

Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Reporting – data warehousing & dashboarding.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

CIO Business Intelligence

NOVEMBER 4, 2024

Second, decision-makers increasingly rely on genAI to … ask questions about their financial and operational data without relying on traditional dashboards and reports,” said Greenstein.” A client once shared how predictive analytics allowed them to spot a rising trend in customer preferences early on.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: RStudio. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

DECEMBER 6, 2019

While financial reporting is largely standard across businesses no matter the industry—accounts receivable, inventory, etc.—when All that to say: Financial reporting is challenging enough as it is, and financial reporting in the banking and insurance industry is even more challenging. Finding Cohesion through CXO Software.

Insurance 86

Insurance Reporting Predictive Analytics Forecasting 86

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Human resources must also contribute to transparent reporting requirements here.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

FEBRUARY 6, 2025

In analytics, LLMs can create natural language query interfaces, allowing us to ask questions in plain English. They can also automate report generation and interpret data nuances that traditional methods might miss. Even basic predictive modeling can be done with lightweight machine learning in Python or R.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Sisense

FEBRUARY 18, 2021

Sadly, many companies are stuck using outmoded analytics that give them static, historical reports that only describe what has already happened and are useless in planning for the future. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. Favorite Data Science and Machine Learning Blogs, Podcasts and Newsletters – In a worldwide survey, over 16,000 data professionals were asked to indicate their favorite data science blogs, podcasts and newsletters.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. This is predictive power discovery. Or more simply: given Y, find X.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

A side benefit of AI-enabled business applications is the increasing availability of useful, timely and consistent data for forecasting, planning, analysis and reporting. The next important step is creating an enterprise planning and reporting database of record.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

datapine

NOVEMBER 11, 2021

b) Analytics Features. d) Reporting Features. Save time and resources: While traditional data management practices encourage the use of spreadsheets and static reports, modern BI solutions offer several features to automate the analysis process and make it more interactive and efficient. Table of Contents. Let’s get started!

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Epicor Grow FP&A offers embedded financial planning and analysis to enable easy, accurate, and thorough financial reporting.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

datapine

MARCH 31, 2022

For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

DECEMBER 22, 2020

The company uses predictive analytics and other big data tools. Use Data Analytics to Find Longer Keyword Phrases to Target Consumers Who Are Ready to Buy. We have previously talked about the benefits of data analytics and machine learning for keyword research. Its customers can leverage the same technology.

Data-driven 128

Data-driven Sales Advertising Big Data 128

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smart Data Collective

JANUARY 14, 2021

The FBI reports that almost $1.2 Predictive analytics models design to fight email-related cyberattacks have evolved considerably. Predictive analytics models design to fight email-related cyberattacks have evolved considerably. A massive number of cyberattacks are coordinated over email servers.

Big Data 133

Big Data Machine Learning Data-driven Predictive Analytics 133

CIO Business Intelligence

SEPTEMBER 19, 2023

To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

MARCH 29, 2021

It’s great to know what your customers have already done – what campaigns engage them and which they ignore, what they’ve already purchased, and so forth – but if you really want to outperform the competition, you need to think predictively. In recent years, though, there’s been significant growth in the use of predictive analytics.

Marketing 138

Marketing Metrics Descriptive Analytics Predictive Analytics 138