Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

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. Actionable healthcare analytics that allows organizations to conduct real-time “what if scenarios” against predictive models.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. It provides a low-code environment where business experts can manage decision automation projects and apply their knowledge to model decisions without extensive coding or deep AI knowledge.

Reporting 93

Reporting Scorecard Predictive Modeling Machine Learning 93

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Cloudera

JUNE 27, 2023

Telcos can correlate data generated by connected devices with existing sources of customer data to identify and predict service outages and disruptions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

DataRobot Blog

JULY 5, 2022

At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. Price Prediction Example. Geospatial Data Enrichment Example.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. The first step in any machine learning project is finding and getting access to the data store. Cloudera Machine Learning (CML) unblocks Data Scientists and lets them focus on solving their business problems.

Machine Learning 80

Machine Learning Predictive Modeling Data Science Testing 80

Cloudera

DECEMBER 20, 2017

Increasingly, there is enough data and complexity, that we can’t define a model capturing each input and output scenario up front. That’s where machine learning (ML) comes in. With ML, the machine sets the model or learns and builds off a model rather than predetermining the inputs and outputs of each scenario.

Machine Learning 40

Machine Learning Modeling Reporting Statistics 40

Cloudera

AUGUST 4, 2021

Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We We use the Cloudera tool to employ machine learning for preventive maintenance,” says Terry Kline, Navistar SVP and CIO.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Forecasting. Classification. Hypothesis Testing. Correlation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data. initial_value_guess.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. Learning MATLAB is a great bonus for those who want to pursue a career in (academic) research.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Sisense

FEBRUARY 25, 2021

That makes the data a perfect candidate for predictive analytics driven by vast computational power. This is where using machine learning as part of a predictive analytics program can be very effective. Improving forecasting analytics with competing models.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

Smarten

OCTOBER 25, 2023

If you want to support your Citizen Data Scientists and every member of your business user team, explore Smarten Mobile Augmented Analytics And Mobile BI.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. appeared first on IBM Blog. A digital twin is the digital representation of a physical asset.

Unstructured Data 78

Unstructured Data Consulting Visualization IoT 78

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 80

Machine Learning Modeling Deep Learning Predictive Modeling 80

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe.

Risk 111

Risk Modeling IT Risk Management 111

IBM Big Data Hub

AUGUST 14, 2023

The newly launched IBM Security QRadar Suite offers AI, machine learning (ML) and automation capabilities across its integrated threat detection and response portfolio , which includes EDR , log management and observability, SIEM and SOAR. The ML app helps your system to learn the expected behavior of the users in your network.

Cost-Benefit 59

Cost-Benefit Machine Learning Consulting Data mining 59

IBM Big Data Hub

APRIL 28, 2022

By exporting an enriched integrated dataset to a notebook or AutoML tool, data scientists can spend less time wrangling data and more time optimizing their machine learning model. Learn more about a data fabric architecture and how it can benefit your organization. How does a data fabric impact the bottom line?

Metadata 84

Metadata Data Warehouse Forecasting Predictive Modeling 84

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. An entire conference track was dedicated to topics like graph embeddings, vector representations and matrix operations.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can use language, vision and more to affect the real world.

Risk 76

Risk Modeling Management Metadata 76

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them. appeared first on IBM Blog.

Cost-Benefit 85

Cost-Benefit Measurement Management Predictive Analytics 85

IBM Big Data Hub

MARCH 7, 2023

The specific approach we took required the use of both AI and edge computing to create a predictive model that could process years of anonymized data to help doctors make informed decisions. To learn more about how Innocens BV is putting data and AI to work, visit the case study and short documentary film here.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. Assisted Predictive Modeling. Anomaly Monitoring and Alerts.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. Simple datasets just won’t cut it anymore.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

CDW Research Hub

JULY 17, 2019

After using our predictive models and machine learning to review the data, the organization confidently introduced job sharing, remote jobs, hoteling space and parking consolidation, resulting in improved employee morale by offering more flexible options and a savings of $6 million annually to the company.

Predictive Modeling 44

Predictive Modeling Machine Learning Sales Modeling 44

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Sisense

APRIL 10, 2020

These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Modeling in R and Python. When we say “modeling” in data science, we mean teaching a program to learn from training data using machine learning algorithms.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. Ensuring early assumptions resonate with real-world execution is paramount.

Advertising 57

Advertising Data-driven Optimization Strategy 57