Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. While this obviously means that there is more risk, it also gives more informed investors a chance to beat market benchmarks.

Predictive Analytics 90

Predictive Analytics Forecasting Analytics Machine Learning 90

Jet Global

NOVEMBER 16, 2020

It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. Learn how to enable complex planning and forecasting processes. Understand how to reduce tax errors and improve productivity.

Forecasting 98

Forecasting Snapshot Finance Recreation/Entertainment 98

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Forecast Time Series at Scale with Google BigQuery and DataRobot. Data scientists are in demand: the U.S. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. 16% of respondents working with AI are using open source models. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Enterprise 277

Enterprise Modeling Testing Reporting 277

O'Reilly on Data

MAY 27, 2020

His system was needed because “beginning teachers and librarians” were less expert at “forecasting comprehension rates” than the algorithm was. The report has pages of careful caveats, but in the end it treats these risk-adjusted ratios as a good measure of a surgeon’s performance. Credit scores.

Risk 355

Risk Testing Reporting Measurement 355

Jet Global

JULY 30, 2020

In many cases, you can improve the value Excel offers your budgeting and forecasting activities just by taking time to learn some of its nuances. To that end, we’ve compiled five useful tips to help you improve your use of Excel when budgeting and forecasting for your business.

Forecasting 91

Forecasting Finance Cost-Benefit Software 91

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. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

JUNE 18, 2021

National Institute of Justice’s (NIJ) “ Recidivism Forecasting Challenge ” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States. NIJ will evaluate all entries on how accurately they forecast the outcome of recidivism. In accordance with priorities set by the U.S.

Predictive Analytics 74

Predictive Analytics Forecasting Analytics Big Data 74

Jet Global

NOVEMBER 19, 2020

2020 brought with it a series of events that have increased volatility and risk for most businesses. Let’s look at some of the key risk categories that are often encountered by growing businesses. Credit Risk. An area of particular concern is credit risk concentration. Revenue Concentration Risk.

Risk 98

Risk Reporting Enterprise Sales 98

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin. The good news is that predictive analytics technology can reduce risk exposure for these investors.

Predictive Analytics 142

Predictive Analytics Analytics Forecasting Machine Learning 142

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. Where is all of that data going to come from? This is a testament to the brand-boosting power of big data in logistics.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

FEBRUARY 11, 2019

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Forecasting Financial Time Series with Deep Learning on Azure”. Model lifecycle management. Deep Learning.

Big Data 211

Big Data Technology Machine Learning Deep Learning 211

IBM Big Data Hub

MARCH 27, 2024

As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices. What is climate risk? To best prepare, organizations need to develop a climate risk strategy.

Risk 60

Risk Forecasting Insurance Strategy 60

CIO Business Intelligence

NOVEMBER 26, 2024

By integrating real-time data into traditional forecasting models, AI improves the accuracy of predictions related to revenue, expenses, and cash flow. Traditional FP&A struggles with adapting to real-world, requiring substantial resources for continuous scenario development and modeling.

Forecasting 111

Forecasting Risk Reporting Marketing 111

CIO Business Intelligence

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI A human reviews it to make sure it makes sense, and if it does, the AI incorporates that into the learning model,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. This may sound like FP&A’s mission today.

Forecasting 130

Forecasting Machine Learning Finance Software 130

Jet Global

JULY 14, 2020

Building financial models is a key function of the financial planning and analysis (FP&A) group and provides a powerful tool for analyzing a diverse set of possible scenarios. Budget modeling is perhaps the most widely applicable form of financial modeling. The Predictive Power of Financial Modeling.

Modeling 97

Modeling Finance Strategy Cost-Benefit 97

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

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 137

Big Data Machine Learning Forecasting Data-driven 137

CIO Business Intelligence

SEPTEMBER 26, 2024

That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs). One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties.

Enterprise 130

Enterprise Data-driven Risk Testing 130

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

CIO Business Intelligence

MAY 6, 2024

Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of. While these Workload Commitments do not always garner the highest tier of credits/incentives, it provides customers with a simpler consumption approach that avoids much of the risk of underutilization.

Marketing 131

Marketing Strategy IT Data Processing 131

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. Therefore, it is a good idea to have predictive analytics models that account for these variables. Many different factors influence demand for any product.

Big Data 93

Big Data Uncertainty Risk Data mining 93

CIO Business Intelligence

JUNE 13, 2024

billion by 2027, according to a forecast by IDC , which translates to an annual growth rate of 86.1% Ryan O’Leary: “The big ethical challenges are the risks of misinformation, biases, and potential privacy breaches. Before training GenAI models, personal identifiers should be removed or masked. over the three-year period.

Forecasting 137

Forecasting Risk Finance Machine Learning 137

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. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

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.

Forecasting 135

Forecasting Experimentation Risk Consulting 135

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. Predictive analytics uses historical data to predict future trends and models , determine relationships, identify patterns, find associations, and more.

Analytics 127

Analytics Predictive Analytics Machine Learning Insurance 127

Andrew White

JULY 24, 2021

The new set of normals (there may not be a single new normal for some time) organizations will experience going forward, including growth, risk, opportunity and stress, all the same time, triggered a need to re-think how executives and everyone else takes decisions. Assumptions based on past experience fail.

Forecasting 133

Forecasting Publishing Modeling Risk 133

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Usage in a business context. The end-user is another factor to consider.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

JULY 9, 2021

It also helps with creating a solid hiring model. It has been shown that big data can minimize employment risks during the hiring process. There are a lot of challenges that employees face when they try to forecast future staffing needs. Choosing the right staffing model. Reducing staffing costs.

Data Analytics 135

Data Analytics Management Analytics Big Data 135

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Data Science Sales 93

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

DECEMBER 18, 2024

Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs. GenAI is also helping to improve risk assessment via predictive analytics.

Forecasting 69

Forecasting Predictive Analytics Risk Finance 69

Cloudera

FEBRUARY 3, 2021

The challenge is particularly intense because the vaccine will not be distributed en masse to all individuals, but by segments that include occupation, age, preexisting risk, and geography. . This is, in turn, causing a mismatch between demand forecasting and supply replenishment. McKinsey defines Supply Chain 4.0 Supply Chain 4.0

Manufacturing 110

Manufacturing Forecasting Internet of Things Risk 110

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Risk Management 137