IBM Big Data Hub

APRIL 1, 2024

These same tools can analyze code and identify and fix bugs in the code to reduce testing efforts. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products. Ready to turbocharge your product processes?

Predictive Analytics 77

Predictive Analytics Sales Enterprise Predictive Modeling 77

Domino Data Lab

OCTOBER 7, 2020

MANOVA, for example, can test if the heights and weights in boys and girls is different. This statistical test is correct because the data are (presumably) bivariate normal. In this blog we show what the changes in behavior of data are in high dimensions. The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

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.’ Hypothesis Testing. Access to Flexible, Intuitive Predictive Modeling. Trends and Patterns. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

DataRobot

OCTOBER 19, 2021

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. DataRobot models successfully identified areas with high per-capita infection rates across the board, not only the densely populated urban counties. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. If you are not a Cloudera customer already and want to learn more about everything that CML has to offer, we’ll give you the keys and let you take it out for a test drive. This makes data science one of the most exciting fields to be in.

Machine Learning 81

Machine Learning Predictive Modeling Data Science Testing 81

Smarten

MAY 29, 2023

Look for a solution that provides the following capabilities: A Free Trial period during which the organization can test the solution against requirements. The ability to create, share and use unlimited predictive model objects. Automatic generation of models. Automatic generation of models.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Smarten

APRIL 12, 2023

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Paul Blogs on BI

MARCH 25, 2020

With news, social media and conversation completely dominated by the COVID-19 pandemic, I was hesitant to write a blog that even mentions it. As more testing becomes available this first metric will increase significantly. Firstly, let’s talk about the data and the metrics being used to track the pandemic.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

BizAcuity

APRIL 1, 2023

Predictive modeling for flagging suspicious activity Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity. Building a predictive model is a continuous process and commitment.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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. The post How a data fabric overcomes data sprawls to reduce time to insights appeared first on Journey to AI Blog.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

BizAcuity

JANUARY 18, 2023

Predictive modeling for flagging suspicious activity. Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity. Steps to building a highly accurate predictive model for AML. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 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.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 142

Deep Learning Machine Learning Modeling Software 142

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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. This governance includes tracking the status of each model on an inventory across the entire enterprise.

Risk 111

Risk Modeling IT Risk Management 111

DataRobot

NOVEMBER 29, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People , Process and Technology. Bias by error examines if the model’s error rates are different for the protected features. Watch webinar with DataCamp on Responsible AI. Register Now.

Technology 52

Technology Metrics Predictive Modeling Modeling 52

Juice Analytics

MARCH 11, 2021

Predictive models to take descriptive data and attempt to tell the future. In a recent blog post , we described the differences between customer reporting and data products. She enhances data through predictive modeling and other advanced data analytics techniques. It's a big load.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

JUNE 29, 2023

This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise. One of the ways maintenance managers refine and improve predictive analytics to increase asset reliability is through the creation of a digital twin.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

Cloudera

FEBRUARY 16, 2022

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. This might require making batch and individual predictions. CML supports model prediction in either batch mode or via a RESTful API for individual model predictions.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

DataKitchen

SEPTEMBER 21, 2023

In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

JULY 6, 2023

In 1950, data scientist Alan Turing proposed what we now call the Turing Test , which asked the question, “Can machines think?” ” The test is whether a machine can engage in conversation without a human realizing it’s a machine. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Automate and Scale Your Decisions.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

DataRobot Blog

JUNE 3, 2022

Generative Pre-trained Transformer 3 (GPT-3) is a language model that utilizes deep-structured learning to predict human-like text. GPT-3 was created by OpenAI – a San Francisco-based artificial intelligence research laboratory – as the third-generation language prediction model in the GPT-n series.

Risk 52

Risk Predictive Modeling Modeling Technology 52

IBM Big Data Hub

OCTOBER 16, 2023

Banks and other financial institutions train ML models to recognize suspicious online transactions and other atypical transactions that require further investigation. Banks and other lenders use ML classification algorithms and predictive models to determine who they will offer loans to. Many stock market transactions use ML.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

IBM Big Data Hub

FEBRUARY 14, 2024

Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions. A manual approach to development and testing could lead to calculation errors and require a huge volume of resources. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! PMML is Predictive Model Markup Language. It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models. So, what is PMML Integration?

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Domino Data Lab

NOVEMBER 17, 2020

Our previous Domino Blog on the Curse of Dimensionality [2] , describes weird behaviors that emerge in data when P >> N: Points move far away from each other. Predictive models fit to noise approach 100% accuracy. As we are still left with a Large P Small N problem, direct hypothesis testing is not possible.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

DataRobot Blog

JULY 22, 2022

That requires a good model governance framework. At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Legacy Models. Future Models.

Modeling 105

Modeling Risk Management Testing Risk 105

IBM Big Data Hub

APRIL 5, 2024

For process safety devices, a safety instrumented system approach determines the test frequency and safety integrity level for alarm functions. Asset health monitoring and predictive maintenance functions receive data via distributed control systems or supervisory control and data acquisition systems (SCADA).

Management 64

Management Risk Optimization Predictive Modeling 64

Cloudera

OCTOBER 19, 2023

It incorporates features that make it easier to build, test, and deploy data pipelines, as well as schedule and monitor them in production. The post Four Ways Telcos Can Realize Data-Driven Transformation appeared first on Cloudera Blog.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

Smarten

MARCH 31, 2023

In this article, we focus on the process of building and using a PMML model and how to simplify the execution of this process so that your users can get the most out of the process and achieve their goals. The PMML or Predictive Model Markup Language is an XML-based predictive model interchange format.

Analytics 52

Analytics Predictive Modeling ROI Modeling 52

Cloudera

SEPTEMBER 7, 2023

In this blog series, well dive into the advantages of Trusted AI and the broader ramifications of AI adoption, exploring how financial institutions can bootstrap and evolve their AI strategies, from initial steps to what mature AI adoption looks like. Formalize ethics and bias testing.

Insurance 83

Insurance Risk Data-driven Finance 83

Domino Data Lab

APRIL 21, 2021

In this blog post we will show an implementation of an ML-based anomaly detection based on XGBoost. We will go through a typical ML pipeline, where we do data ingestion, exploratory data analysis, feature engineering, model training and evaluation. This is to prevent any information leakage into our test set. Model training.

Statistics 69

Statistics Machine Learning Modeling Metrics 69