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. . Typical questions include: What is your model’s use case?

Predictive Modeling 90

Predictive Modeling Modeling Risk Statistics 90

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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

Risk 359

Risk Modeling Data Processing Software 359

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Proactive Risk Management : BI tools enable organizations to proactively identify potential risks through predictive modeling and trend analysis.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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.

Analytics 129

Analytics Big Data Predictive Modeling Insurance 129

John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. These five capabilities support both integrated view of strategic, operational and technology risk as well as the related business outcomes, processes and assets.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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.

Insurance 82

Insurance Predictive Modeling Cost-Benefit Statistics 82

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 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. As Forrester notes in the report, many organizations are eager to harness the power of AI but also must be cautious of risks.

Reporting 94

Reporting Scorecard Predictive Modeling Machine Learning 94

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.

IoT 111

IoT Internet of Things Testing Cost-Benefit 111

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. Competitive Changes. Market Changes. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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.”

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

AUGUST 23, 2023

To do so, they explored the optimization problem of “cardinality constraints” and developed a hybrid quantum-classical approach to financial index tracking portfolios that maximizes returns and minimizes risk. We started our models, pressed run, and had to wait until the morning and hope they hadn’t crashed overnight,” Broer says.

IT 97

IT Machine Learning Risk Optimization 97

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

SEPTEMBER 17, 2020

Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. Big Data provides financial and banking organizations with better risk coverage.

Big Data 142

Big Data Finance Risk Management Risk 142

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.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

OCTOBER 12, 2023

Generac Power Systems’ Tim Dickson is an award-winning CIO who drives transformative change through technology and talent. He’s known as a digital game changer who operates at the intersection of advanced technology and business strategy. We can’t do it alone, which means you need to lean on your technology vendor partnerships.

IoT 126

IoT Manufacturing Strategy Modeling 126

DataKitchen

JUNE 19, 2023

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. The above image shows an example custom ‘data in use’ test of a predictive model and API.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

IBM Big Data Hub

OCTOBER 5, 2022

You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. Time matters too: your models must be quick to run, so analysis can be done before the assumptions are out-of-date.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 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 86

Cost-Benefit Measurement Management Predictive Analytics 86

Smart Data Collective

MAY 23, 2021

While this can be classed as data science, one difference is that data science tends to use a predictive model to make its analysis, while AI can be capable of analyzing based on learned knowledge and facts. One way that AI can be used to benefit your tech company is to carry out risk analysis. The benefits to your tech company.

Data Science 99

Data Science Cost-Benefit Statistics Predictive Modeling 99

O'Reilly on Data

DECEMBER 12, 2019

Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1] 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. That’s where model debugging comes in. There are a lot of ways to fix discrimination in ML models.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

JUNE 8, 2022

According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. machine in a good condition is to timely monitor it and detect the patterns to predict the breakdowns. If that’s the case, there must be something to this trend, right?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

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. These technological advancements promise substantial improvements in protocol design, ultimately boosting patient enrollment.

Advertising 57

Advertising Data-driven Optimization Strategy 57

IBM Big Data Hub

AUGUST 14, 2023

Under-deployed tools and solutions that do the minimal that’s “good enough” or that face other barriers like the risk aversion to fully automating processes that could have unintended consequences. Clearly, organizations today need new technologies and approaches to stay ahead of attackers and the latest threats.

Cost-Benefit 59

Cost-Benefit Machine Learning Consulting Data mining 59

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Cloudera

MAY 12, 2021

Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST. A new award category for 2021. INDUSTRY TRANSFORMATION. Last, but certainly not least.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

CIO Business Intelligence

APRIL 11, 2023

As we’ve seen over the last several months, irresponsible growth can lead to hiring freezes and limiting investments (at best) or mass layoffs and big risks (at worst). As Chairman and CEO of Apigee, he led company-wide initiatives to build Apigee into a leading technology provider for digital business.

Uncertainty 52

Uncertainty Predictive Modeling Risk Technology 52

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis. Business analytics uses data analytics techniques, including data mining, statistical analysis, and predictive modeling, to drive better business decisions.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

DataRobot

JUNE 4, 2021

Although the DataRobot platform makes leading edge AI technology available to customers, often the most bang-for-the-buck strategy for improving model accuracy is not necessarily to focus on the shiny new algorithm. But the power of enriching data for improved predictive models extends to nearly all industries and use cases.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

DataRobot Blog

APRIL 1, 2022

In many cases, many models in the pipeline do not ever make it to production, and among those that do, controlling and managing them in different environments can be difficult. Also, degrading models over time can pose a significant risk to the business. I recently gave a talk on this topic at the AI Summit Silicon Valley.

Machine Learning 59

Machine Learning Cost-Benefit Predictive Modeling Modeling 59

Smarten

DECEMBER 3, 2023

Executives tend to look at technology from the lens of expense and time, and your team is probably no different. Whether you are an IT consultant, an in-house IT professional, a middle manager or a senior executive, it is important to monitor the progress of business analytics and the related technology.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Drought Risk Assessment and Prediction.

Machine Learning 122

Machine Learning Cost-Benefit Optimization Forecasting 122

IBM Big Data Hub

JULY 6, 2023

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. An AI-based medical assessment platform analyzes medical records to determine a patient’s risk of stroke and predict treatment plan success rates.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59