Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

Smart Data Collective

JUNE 18, 2021

Machine learning technology has been instrumental to the future of the criminal justice system. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation. NIJ will evaluate all entries on how accurately they forecast the outcome of recidivism.

Predictive Analytics 67

Predictive Analytics Forecasting Analytics Big Data 67

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Taking a Multi-Tiered Approach to Model Risk Management. Forecast Time Series at Scale with Google BigQuery and DataRobot. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

JANUARY 19, 2024

More than 120 ‘flavors’ to handle When your company is dealing with today’s volatile market, a variety of products, and a supply chain covering 120+ countries – each with its own rules and processes – demand planning, including forecasting, can get a bit gut-wrenching. Such was the case with Danone.

Forecasting 122

Forecasting IT Digital Transformation Machine Learning 122

CIO Business Intelligence

APRIL 29, 2024

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. CIOs and CTOs must also set the rules of the road for using AI and navigate or mitigate potential risk and ethics issues, he says.

Experimentation 135

Experimentation Forecasting Risk Consulting 135

CIO Business Intelligence

APRIL 25, 2022

It’s no secret that companies face major hurdles and risks when it comes to global supply chains. To gain visibility, make data easy to share, and achieve true collaboration, companies need a solution backed with artificial intelligence (AI) and machine learning technology. Forecast risks before they occur.

Risk 52

Risk Forecasting Machine Learning Management 52

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

DataRobot Blog

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics. Model Benchmarking.

Risk 59

Risk Modeling Metrics Measurement 59

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. This should make intuitive sense, as individuals with more financial reserves would pose the institution with a lower credit risk compared to those with less.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. It leverages techniques to learn patterns and distributions from existing data and generate new samples.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

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. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

DECEMBER 7, 2023

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

IoT 108

IoT Internet of Things Forecasting Digital Transformation 108

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

Smart Data Collective

JANUARY 9, 2023

The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis. What Is AI and Machine Learning? The AI and Machine Learning Approach to Utilizing Data. Here is a strategic approach to maximize your data’s value.

Machine Learning 125

Machine Learning Software Strategy Marketing 125

CIO Business Intelligence

MAY 8, 2024

We take the financial risk for this, which means that if there is anything that’s misrepresented, the money comes from our pocket.” The IT team plans to further enhance the application using the XGBoost machine learning software library for forecasting medication use in covered populations.

IT 111

IT Insurance Cost-Benefit Unstructured Data 111

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Generative AI can help mitigate these often serious risks.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

CIO Business Intelligence

APRIL 5, 2022

Enterprises face multiple risks throughout their supply chains, Deloitte says, including shortened product life cycles and rapidly changing consumer preferences; increasing volatility and availability of resources; heightened regulatory enforcement and noncompliance penalties; and shifting economic landscapes with significant supplier consolidation.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price. Application of AI in Supply Chain.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 212

Big Data Technology Machine Learning Deep Learning 212

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Cloudera

AUGUST 3, 2021

Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Advanced analytics empower risk reduction . Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Smart Data Collective

OCTOBER 8, 2020

Big data plays a role in shifting the risk-reward calculus in the favor of venture capitalists. Venture capital is a high risk, high reward game. Modern investors use machine learning and AI models to gather and produce signal information that generate insights on worthy startups.

Big Data 130

Big Data Machine Learning Forecasting Data-driven 130

Smart Data Collective

JULY 20, 2021

Customers must agree for lenders to see their transactional history and financial information during the application process – but this should be able to provide lenders with a better understanding of the customer’s borrower spending, including highlighting any gambling or debt problems with machine learning algorithms.

Machine Learning 132

Machine Learning Risk Data-driven Forecasting 132

Smart Data Collective

APRIL 10, 2020

Machine learning is helping companies in every sector optimize their business models. Machine learning advances are helping companies solve some of their most obvious problems. Machine learning can help with both. Companies that use machine learning tools can solve many accounting problems.

Machine Learning 111

Machine Learning Cost-Benefit Big Data Forecasting 111

CIO Business Intelligence

NOVEMBER 20, 2023

Outcomes are fed back into machine learning models to improve prediction accuracy continually. Hotels could dynamically adjust room rates based on traffic forecasts, weather conditions, and events in the area. Despite AI’s potential for enhanced decision-making capabilities, executives must carefully weigh serious risks. “AI

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

Octopai

JUNE 9, 2024

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. This situation posed legal risks and threatened the organization’s reputation. The lack of trust in data created inertia.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

Smart Data Collective

SEPTEMBER 19, 2022

They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Improving Risk Assessment. Data analytics fintech provides crucial information financial institutions need to build a robust risk assessment strategy. Forecasting Future Market Trends. Improving Security.

Big Data 129

Big Data ROI Measurement Risk 129

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

Smart Data Collective

SEPTEMBER 13, 2021

This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. However, value investors cannot use broad data to make risk-free decisions since it is not specific enough. That is why investors can forecast long-term trends using big data.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Jedox

SEPTEMBER 10, 2020

They balanced employee health risks with commercial imperatives. Reinventing for dynamic forecasting. Now, CFOs must go further with dynamic forecasting. For dynamic forecasting to work effectively, CFOs need a scenario and modeling platform that supports real-time data updates. In fact, “Brace! Conclusion.

Forecasting 69

Forecasting Dashboards Measurement Risk 69

CIO Business Intelligence

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8 Robotic process automation (RPA) is a well-established means of automating repetitive business processes implemented in software. trillion by 2026.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. Digitizing relevant physical assets and objects, such as those core samples, IT equipment, office equipment, etc.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. But as businesses around the globe rapidly adopt the technology to augment processes from merchandising to order management, there is some risk.

B2B 65

B2B Interactive Optimization Forecasting 65

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth. Forecasting. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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