Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. Building an accurate predictive analytics model isn’t easy. Big challenges, big rewards. Improve forecasts and maximize revenue.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Smarten

MAY 31, 2022

Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives. Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling. Predictive Analytics Using External Data.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

TDAN

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

Predictive Analytics 59

Predictive Analytics Analytics IT Business Intelligence 59

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

BizAcuity

APRIL 28, 2019

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, a form of advanced analytics is also making great breakthroughs in the solving the debt collection problem.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. The post Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 appeared first on Cloudera Blog. Looking To The Future.

Machine Learning 92

Machine Learning Predictive Analytics Analytics Enterprise 92

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Cloudera

JULY 18, 2018

Please view our announcement and solutions gallery page on Healthcare Analytics for additional customer and solution details. The post Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs appeared first on Cloudera Blog.

Machine Learning 50

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 50

Dataiku

AUGUST 11, 2021

Dataiku’s end-to-end platform gives our users the ability to turn raw data into business-impacting decisions using advanced predictive analytics. In addition, Dataiku serves a large variety of user personas, technical skills, industries, and use cases.

Predictive Analytics 111

Predictive Analytics Analytics 111

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. Learn more about the IBM watsonx suite and IBM Consulting® services The post Using generative AI to accelerate product innovation appeared first on IBM Blog.

Predictive Analytics 86

Predictive Analytics Sales Enterprise Predictive Modeling 86

IBM Big Data Hub

MAY 9, 2024

Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. It’s worth noting that most electronic health records (EHR) systems offer predictive analytics capabilities. The accuracy of these analytics is limited by the accuracy of the data used.

Data Governance 69

Data Governance Data Quality Insurance Predictive Analytics 69

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

MARCH 7, 2023

“As businesses race to bring this technology to market, it’s critical that we do so inclusively and intentionally,” said Kathy Baxter, principal architect for Salesforce’s ethical AI practice, and Paula Goodman, chief ethical and humane use officer, in a blog pos t Tuesday.

Predictive Analytics 110

Predictive Analytics Data-driven Sales Software 110

CIO Business Intelligence

APRIL 30, 2024

Edge-based predictive maintenance reduces downtime and improves operational efficiency. Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog. Personalization. Retail stores and smart homes can use AI at the edge technology to personalize user experiences.

Forecasting 104

Forecasting Optimization Advertising IoT 104

datapine

MARCH 8, 2021

One of the most striking elements of healthcare reporting and analytics is the ability to harness the power of historical and current data to spot potentially fatal medical issues in patients before they occur. This is a testament to the essential role of predictive analytics in the sector. Disease monitoring.

Reporting 198

Reporting KPI Management Cost-Benefit 198

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

Smarten

MAY 13, 2024

Studies reveal that most PMML Integration tools provide support for numerous types of predictive analytical models, tools and techniques including: Logistical Regression Linear Regression Decision Tree Clustering Time Series …etc. and support analytical tools without complex coding, scripting or programming.

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

Smarten

JULY 13, 2023

Citizen Data Scientists Can Leverage Predictive Analytics for Real Actionable Intelligence! Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. Predictive analytics can make a significant impact in this process, helping to ensure that carriers accept and price policies to properly balance the medical or financial risk against the value of the premiums.

Insurance 69

Insurance Risk Technology Management 69

BA Learnings

JANUARY 2, 2023

Experts like Mark Stiffler say that leveraging data and analytics can uncover new growth opportunities, strengthen existing processes, and increase your overall efficiency. In this blog post, we'll discuss eleven tips that you can use to leverage data and analytics to improve your business processes.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss.

Data-driven 72

Data-driven Cost-Benefit Predictive Analytics Machine Learning 72

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

datapine

MAY 16, 2019

Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board. The Role Of Predictive Analytics In Restaurants. Let’s start by looking at the definition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Decision Management Solutions

JANUARY 24, 2020

I recently had the privilege of being interviewed by Zbigniew Misiak for a blog post in BPMTips.com. My blog and company blog have plenty on this topic too.”. Attempting to apply business rules, predictive analytics or machine learning/AI directly to business processes should count as irrelevant these days.

Machine Learning 67

Machine Learning Predictive Analytics Data-driven Management 67

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Cloudera

AUGUST 11, 2022

UDD provides a wide range of extensible capabilities ranging from real-time data ingestion, edge processing, transformation, and routing through to descriptive, prescriptive, and predictive analytics. and routing through to descriptive, prescriptive, and predictive analytics . edge processing. transformation.

Predictive Analytics 92

Predictive Analytics Data-driven Data Processing Data Architecture 92

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. Starting a blog is one of the most popular side hustles that anyone can start.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Decision Management Solutions

MAY 1, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. By using decision management technologies like business rules, predictive analytics, machine learning, and artificial intelligence, insurance carriers can increase their straight through processing rates and focus team members on higher value activities.

Insurance 75

Insurance Technology Predictive Analytics Risk 75

Smarten

JANUARY 27, 2023

Smarten CEO, Kartik Patel says, ‘The addition of PMML integration capability enables faster roll-out and allows users to leverage the Smarten workflow for PMML predictive models, adding more flexibility and power to the Smarten suite of augmented analytics tools.’

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smart Data Collective

JULY 16, 2023

This blog post will provide an in-depth exploration of these strategies, equipping fund managers with the knowledge to boost their fund performance and investor confidence. The good news is that sophisticated predictive analytics algorithms can easily adapt to new market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

OCTOBER 16, 2023

Social media, blogging, and microblogging are all essential communication data sources. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Big data generation is significant for enterprises transitioning from analog to digital workflows. IoT Sensors generate IoT data.

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision. appeared first on Cloudera Blog.

Data Warehouse 86

Data Warehouse Experimentation Cost-Benefit Dashboards 86

Data Virtualization

MARCH 15, 2024

Join us as we embark on a journey to explore this intriguing domain, unravelling its core principles, diverse applications, associated benefits, The post Hyper-Personalization in Banking: Principles, Applications, Benefits, and Best Practices appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and (..)

Interactive 64

Interactive Data Integration Management Predictive Analytics 64

IBM Big Data Hub

FEBRUARY 12, 2024

AI will power predictive analytics that will help organizations understand better when customers may have an issue or when it would be an opportune time to reach out to them. Chatbots using generative AI and natural language processing will encourage more customers to use self-service tools for their simplest problems.

Data-driven 104

Data-driven Manufacturing Consulting Advertising 104

IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85