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. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

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Risk Modeling IT Risk Management 111

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

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Risk Modeling Management Metadata 77

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

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Predictive Analytics Analytics Predictive Modeling Forecasting 138

Smarten

NOVEMBER 23, 2023

Our self-serve, natural language processing (NLP) approach to business user analytics is based on cutting-edge technology and an intuitive interface designed that supports the Citizen Data Scientist initiative, ” says Patel. The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

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Publishing Marketing Analytics Predictive Modeling 62

CIO Business Intelligence

JUNE 14, 2023

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The online program includes an additional nonrefundable technology fee of US$395 per course.

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Big Data Data Analytics Analytics Predictive Modeling 125

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. All are required for trusted AI , technology systems that align to our individual, corporate, and societal ideals.

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Technology Metrics Predictive Modeling Modeling 52

CIO Business Intelligence

MAY 9, 2024

To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.

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Risk Management Risk Cost-Benefit Technology 125

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user. Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too!

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Analytics Predictive Modeling Machine Learning Visualization 67

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

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Sales Technology Predictive Modeling Optimization 89

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. With the doctors and nurses in mind, the team aimed to create a model that would allow the intended users to reap its benefits.

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Risk Technology Informatics Predictive Modeling 52

IBM Big Data Hub

JANUARY 25, 2024

We all want to see our ideal human values reflected in our technologies. We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Consider the diversity prediction theorem. How might this insight affect evaluation of AI models?

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Predictive Modeling Modeling Risk Statistics 91

Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. Understanding Assisted Predictive Modeling.

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Predictive Analytics Predictive Modeling Analytics Forecasting 52

Smart Data Collective

SEPTEMBER 19, 2019

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology is a prime example. The Machine Learning Technology That Drives TTS.

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Machine Learning Technology Deep Learning Predictive Modeling 82

Jedox

JULY 23, 2019

You do not have to be a data scientist to recognize the impact of technology on FP&A is and will continue to be significant. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Exploring the technology opportunities in FP&A.

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Technology Forecasting Finance Data-driven 52

IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai “These tools offer an array of analytics options.

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Predictive Modeling Data-driven Data Science Forecasting 70

Smart Data Collective

MARCH 3, 2021

Therefore, they should be willing to integrate technology into their processes and do alternative fee agreements to use big data to accelerate cases. But if they use predictive analytics, they can determine how much each case pays out, considering factors as the number of previous cases filled with the same judge. Final thoughts.

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Analytics Big Data Predictive Modeling Insurance 128

IBM Big Data Hub

APRIL 1, 2024

Now, enterprises can adopt the foundational principles of this technology and apply them within their operations, further enriched by contextualization and security. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

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CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

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CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios.

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Finance Forecasting IoT Predictive Modeling 91

CIO Business Intelligence

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry.

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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. At IBM, we strongly believe that open technologies are the required foundation of the digital twin. Asset performance management.

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IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” “IBM has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.”

Reporting 95

Reporting Scorecard Predictive Modeling Machine Learning 95

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. Let’s start with the models. And it’s unlocking a lot of productivity.”

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Experimentation Strategy Machine Learning Interactive 119

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. Analyze the Model with Visualization and Interpretation.

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DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. The major value here is a clear and comprehensive understanding of your technology’s status. You can proactively spot and address issues before they escalate and ensure your technology stack runs smoothly and cost-effectively.

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Testing Cost-Benefit Metrics Data Quality 130

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

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B2B Interactive Optimization Forecasting 58

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. Automatic generation of models.

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Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

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IBM Big Data Hub

MAY 1, 2023

Along with the explosion of information technology in the 1950’s, the term ‘artificial intelligence’ (AI) was coined by John McCarthy in 1956. The early versions of AI were capable of predictive modelling (e.g., AI is still an emerging technology and the road to implementation will have challenges.

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Insurance Predictive Modeling Cost-Benefit Statistics 83

BizAcuity

APRIL 1, 2023

The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. There are a number of open-source ML platforms like KNIME that can also be leveraged to detect and predict suspicious behavior.

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Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JULY 24, 2023

The Intersection of AI and VMS AI has penetrated virtually every aspect of business operations, from customer service to human resources, and VMS is a prime candidate for the application of AI technologies. Key AI Technologies Enhancing VMS Several AI technologies are at the forefront of enhancing VMS.

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Management Cost-Benefit Data-driven Predictive Analytics 87

Smart Data Collective

MARCH 23, 2022

AI technology is becoming an integral part of many industries. With the advances made in microprocessor technology in the early 1970s, the automotive industry soon developed their first, albeit primitive, versions of smart cars. There are a lot of benefits of utilizing AI technology in the automotive sector.

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IoT Internet of Things Testing Cost-Benefit 110

BizAcuity

JANUARY 18, 2023

The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. Predictive modeling for flagging suspicious activity. Steps to building a highly accurate predictive model for AML. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

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Unstructured Data Predictive Modeling Machine Learning Modeling 80

CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

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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. The latest developments in large language models (LLMs) have the potential to significantly expedite protocol design processes.

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Advertising Data-driven Optimization Strategy 57

Smarten

OCTOBER 25, 2023

Mobile BI is a system that integrates enterprise data and makes it accessible on mobile devices using technology, analytics, and visualization to present historical or real-time information for analysis. ‘Mobile BI is about making data accessible to more people and encouraging team members to use that data on a day-to-day basis.’

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