Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

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. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it. Final thoughts.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

Smart Data Collective

JULY 8, 2021

Let’s talk about some benefits and risks of artificial intelligence. Artificial Intelligence employs machine learning algorithms such as Deep Learning and neural networks to learn new information like humans. It eliminates the requirement for feeding new codes every time we want them to learn a new thing.

Risk 141

Risk Cost-Benefit Machine Learning Deep Learning 141

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. The problem was that the smart meters were only feeding their data once a day.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

IBM Big Data Hub

FEBRUARY 13, 2024

Driving optimal application performance while minimizing costs has become paramount as organizations strive for positive user experiences. The significance of optimizing application performance Optimizing application development and performance is a must in a world where a user’s experience can control a business’ trajectory.

Optimization 65

Optimization Metrics Machine Learning Dashboards 65

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. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

SEPTEMBER 30, 2021

But what if machine learning could be used beyond niche or individual contexts? Below, we’ll be exploring a few of the ways that machine learning can be used for improving our cities and making them smarter overall. Drought Risk Assessment and Prediction. Optimization of Electric Vehicle Charging.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

DataRobot

AUGUST 27, 2021

Organizations in different industries use artificial intelligence (AI) , machine learning , and data science to uncover deep insights about their processes and procedures that help them make predictions to allocate resources and increase productivity. Individuals who will identify as at-risk students. See DataRobot in Action.

Optimization 97

Optimization Cost-Benefit Machine Learning Risk 97

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. We did two Bake-Offs this year. Here is the link to Qlik’s BI Bake-Off video.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

MAY 30, 2024

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation. Regulation and risk are a big focus for financial institutions. Joe Rodriguez, Sr.

Data Analytics 81

Data Analytics Risk Management Digital Transformation Analytics 81

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

Visualization 133

Visualization Optimization Analytics Testing 133

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. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 71

Risk Modeling Management Metadata 71

Rita Sallam

JUNE 2, 2023

Are there mitigation strategies that show reasons for optimism? The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. We did two Bake-Offs at the Gartner Data and Analytics Summit in London last week.

Optimization 52

Optimization Insurance Machine Learning Risk 52

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example.

Software 261

Software Machine Learning Risk Data-driven 261

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,” writes author Euan Wielewski.

Machine Learning 77

Machine Learning Software Management Data-driven 77

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 89

Risk Marketing Technology Management 89

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

IBM Big Data Hub

APRIL 19, 2024

Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 87

Management Internet of Things Risk IoT 87

Cloudera

JUNE 3, 2024

It integrates seamlessly with our recently launched AI Registry , a central hub for storing, organizing, and tracking machine learning models throughout their lifecycle. Performance optimizations: Up to 3.7x throughput increase for CPU-based inferences and up to 36x faster performance for NVIDIA GPU-based inferences.

Optimization 81

Optimization Enterprise Data Architecture Modeling 81

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. pharmacogenomics) and risk assessment of genetic disorders (e.g., Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

JANUARY 18, 2024

Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report. This level of optimism in the face of massive disruptive change may spring from common attributes that make decision-makers true leaders: vision and adaptability. “As

Finance 126

Finance Machine Learning Risk Management Optimization 126

CIO Business Intelligence

AUGUST 23, 2023

Optimization problems, for which a whole chorus of variables must be fine-tuned and modulated, routinely plague financial firms, especially when it comes to highly engineered financial products such as those developed through quantitative analysis. If there’s an industry steeped in computations, it’s the financial services sector.

IT 96

IT Machine Learning Risk Optimization 96

CIO Business Intelligence

FEBRUARY 15, 2024

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We In trade promotion management, marginal optimization has a huge impact on the business, both top and bottom line,” says Nilles.

B2B 138

B2B Optimization Machine Learning Software 138

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. Financial services: Develop credit risk models. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Octopai

JUNE 9, 2024

By doing so, they aimed to drive innovation, optimize operations, and enhance patient care. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. The lack of trust in data created inertia.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

CIO Business Intelligence

MAY 8, 2024

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. We take the financial risk for this, which means that if there is anything that’s misrepresented, the money comes from our pocket.”

IT 109

IT Insurance Cost-Benefit Unstructured Data 109

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI utilizes machine learning algorithms to learn from historical data and identify patterns and relationships. It aids decision-making processes, allowing businesses to optimize operations, identify potential risks, and develop data-driven strategies. Artificial Intelligence, Machine Learning

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Smart Data Collective

DECEMBER 16, 2019

At a time when the technology environment is powered by aspects such as the Internet of Things, artificial intelligence, machine learning, and Quantum computing, data is king. This can only be achieved by having a system that will easily optimize data on your cloud and on-premises IT infrastructure resources.

Optimization 54

Optimization Enterprise Internet of Things Cost-Benefit 54