IBM Big Data Hub

MAY 1, 2024

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Inventory management Generative AI models can continuously generate optimized replenishment plans based on real-time demand signals, supplier lead times and inventory levels.

Forecasting 84

Forecasting Optimization Digital Transformation Risk 84

CIO Business Intelligence

MARCH 14, 2024

MBA programs can also help leaders hone their communication and negotiation skills while also improving their understanding of organizational behavior, strategic planning, and risk management through exposure to experienced peers and varied coursework,” Bhargava explains. Does it make sense for an IT leader to seek an MBA?

IT 124

IT Strategy Digital Transformation Risk Management 124

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 83

Predictive Analytics Forecasting Analytics Machine Learning 83

IBM Big Data Hub

MARCH 25, 2024

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Longer-term local climate change risks might still devalue property that hasn’t suffered damage. As a result, their market would shrink.

Insurance 93

Insurance Forecasting Risk Risk Management 93

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.

Predictive Analytics 69

Predictive Analytics Forecasting Analytics Big Data 69

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

CIO Business Intelligence

JULY 18, 2022

Organizations that do not invest in the short term will likely fall behind in the medium term and risk not being around in the long term,” warned Lovelock in a statement. We forecast this trend is going to continue over the next couple of years.”. trillion, according to projections released by Gartner Research.

IT 139

IT Uncertainty Data-driven Sales 139

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 133

Experimentation Forecasting Risk Consulting 133

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. 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 133

Enterprise Cost-Benefit Forecasting Strategy 133

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 144

Predictive Analytics Analytics Predictive Modeling Forecasting 144

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

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 134

Modeling Finance Uncertainty Data mining 134

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. PODCAST: COVID 19 | Redefining Digital Enterprises. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

FEBRUARY 13, 2023

In one use case, AR and VR are being used to re-create people’s spines in a model so that surgeons can look at them in advance of surgeries to help them perform better, says Peter Fleischut, group senior vice president and chief information and transformation officer.

IT 145

IT Insurance Machine Learning Marketing 145

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. In 2023, big data Is no longer a luxury.

Big Data 82

Big Data Uncertainty Risk Data mining 82

Jedox

SEPTEMBER 11, 2019

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago. This is not just risk mitigation. ” Common FP&A Use Cases.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends.

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

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 100

Finance Forecasting IoT Predictive Modeling 100

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

IBM Big Data Hub

SEPTEMBER 6, 2023

Negotiations and complicated financial models add depth and time to the budgeting process. Obsolete data and financial projections A budget, at its core, is a financial forecast. Unanticipated risks Good budgeting plans for risks. By the time the budget is finalized and approved, it might already be outdated. Far from it.

Forecasting 87

Forecasting Marketing Risk Sales 87

Jet Global

APRIL 27, 2020

Any company worth its salt uses financial modeling to guide its financial planning and strategic decision-making. Financial modeling offers data-driven, quantitative analysis that tells you where your company stands and where it’s heading. But one model can’t do it all. What Is Financial Modeling? Organic business growth.

Modeling 72

Modeling Forecasting Finance Visualization 72

CIO Business Intelligence

APRIL 29, 2024

GitHub Copilot is still using a much smaller model,” Patel said. And although Microsoft may have lost out on a little revenue growth as a result of the capacity constraints, analysts said it is at no risk of losing new customers to its rivals. Microsoft posted revenue of $61.9 billion for the quarter, up 17% year on year, of which $26.7

Enterprise 101

Enterprise Data Processing Forecasting Modeling 101

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 127

Forecasting Machine Learning Software Data-driven 127

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Consider the following: Do you need a public foundation model?

Enterprise 104

Enterprise ROI Risk Strategy 104

CIO Business Intelligence

FEBRUARY 13, 2024

Recent breakthroughs in generative AI (GenAI) are reshaping the technological landscape at an unprecedented rate, and IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026. Addressing the theme ‘The Future of IT: Rethinking Digitalization for an AI Everywhere World’.

Data Processing 91

Data Processing Forecasting Risk Optimization 91

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.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

CIO Business Intelligence

SEPTEMBER 6, 2022

It was very fragmented, and I brought it together into a hub-and-spoke model.”. The new model enables Very to design once and deploy everywhere, while maintaining a product focus. Very grew from the successive mergers of a number of mail order catalog companies, the oldest dating back to the 1890s.

IT 89

IT Forecasting Data Lake Enterprise 89

CIO Business Intelligence

FEBRUARY 20, 2024

Others are weighing the advantages of subscription-based business models where industrial equipment, automation, and processes are delivered as a service. Nall comments: “Copilot can help manufacturers de-risk their supply chains by helping predict potential disruption so they can put mitigations in place ahead of time.”

Manufacturing 92

Manufacturing Sales Risk Management Forecasting 92

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. We also need an offline feature store to store features in feature groups.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

IBM Big Data Hub

MAY 14, 2024

Those organizations that have already adopted AI have helped reduce sales forecast errors by 57%, reduce uncollectable balances by 43%, and cut monthly close cycle time by 33%, according to the IBM Institute for Business Value report. New operating model, skills and competencies Generative AI is changing the way that we do business.

Finance 71

Finance Cost-Benefit Reporting Forecasting 71

IBM Big Data Hub

JANUARY 22, 2024

As-a-service models are expected to become more prevalent, with IDC forecasting that 65% of tech buyers will prioritize these models by 2026​​ This shift echoes the response to economic pressures and the need to fill talent gaps in IT operations. This isn’t to suggest that disruption is a negative attribute.

Data-driven 108

Data-driven Forecasting Consulting Marketing 108

CIO Business Intelligence

NOVEMBER 8, 2023

This requires knowing the risks involved with the cloud, which include external risks and threats, as well as internal risks and threats that could not only lead to a security compromise or an embarrassing leak but may affect organizations’ overall productivity and efficiency. 8 Complexity.

Cost-Benefit 133

Cost-Benefit Risk Digital Transformation Reporting 133

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. 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.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

MAY 4, 2022

More specifically, Rasmussen is boosting her spend on cybersecurity to help manage risk, a key element for enabling Ceridian’s planned global expansion. Ceridian SVP and CIO Carrie Rasmussen got a 7% bump in her IT budget for 2022, with her company’s growth, its ongoing digitalization drive, and security mindfulness driving the boost.

IT 135

IT Business Driver Reporting Uncertainty 135

IBM Big Data Hub

OCTOBER 19, 2023

Smallholder farmers lack access to hyperlocal weather forecasting and data that can help increase their crops’ chances of success, which jeopardizes the productivity and profitability of their season. Their challenges are compounded further by inherent and unavoidable farming risks, such as pests, contamination and natural disasters.

Forecasting 98

Forecasting Consulting Risk Modeling 98

IBM Big Data Hub

FEBRUARY 20, 2024

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

Modeling 121

Modeling Forecasting Reporting Risk 121