BI-Survey

MARCH 16, 2021

Corporate planning and forecasting needs to be carried out efficiently, in shorter cycles and must be updated quickly for well-founded decision-making. Increasing dynamics demand adjustments to the corporate management process – as well as strategic planning and forecasting – to meet growing requirements.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

Jet Global

DECEMBER 5, 2022

The ability to efficiently conduct short- and long-term forecasts is critical. So many organizations integrate tax software, then dust their hands. But as new global requirements emerge and technology advances, your software may fall far enough behind that it starts to impact your performance. Increased Data Proliferation.

Software 52

Software Forecasting Reporting Measurement 52

CIO Business Intelligence

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes. What’s the difference?

Forecasting 118

Forecasting Machine Learning Software Data-driven 118

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 139

Predictive Analytics Analytics Predictive Modeling Forecasting 139

Jet Global

SEPTEMBER 22, 2020

Failure to manage operational transfer pricing effectively creates huge risks for organizations, especially in today’s highly unpredictable markets. Where should organizations begin if they have not yet taken their first steps toward adopting software to manage operational transfer pricing?

Software 98

Software Forecasting Risk Cost-Benefit 98

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

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

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 139

IT Data Processing Enterprise Modeling 139

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 110

Manufacturing Forecasting Technology Software 110

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. Rolling forecasts These are a dynamic alternative to traditional static annual budgets.

Forecasting 88

Forecasting Marketing Risk Sales 88

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 130

IT Risk Cost-Benefit Risk Management 130

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. Fault Tolerant Versus Fault Intolerant AI Problems. This is particularly true for AI products.

Marketing 362

Marketing Experimentation Metrics Testing 362

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.” In about six months, Expion’s two AI developers created ExpionIQ Advisor, a tool that uses linear regression, multiple algorithms, and custom-built AI models to automate prescription RFPs.

IT 94

IT Cost-Benefit Insurance Unstructured Data 94

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

JANUARY 22, 2024

Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Data centers are undergoing significant evolution. Initially, they were massive, centralized facilities that were complex, costly and difficult to replicate or restore.

Data-driven 107

Data-driven Forecasting Consulting Marketing 107

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 84

Manufacturing Sales Risk Management Forecasting 84

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. Consider the following: Do you need a public foundation model? times higher ROI.

Enterprise 104

Enterprise ROI Risk Strategy 104

CIO Business Intelligence

JANUARY 22, 2024

It’s a significant project to lay this groundwork, so it carries a fair amount of risk. There’s a lot more weather data available that a professional meteorologist (especially one armed with software designed for analyzing weather data) could use to make detailed forecasts for anywhere from an hour to five days out.

Forecasting 107

Forecasting Software Metrics Enterprise 107

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. AWS and Google both have capacity issues as well.

Enterprise 94

Enterprise Data Processing Forecasting Modeling 94

IBM Big Data Hub

DECEMBER 1, 2023

Enterprise resource planning (ERP) is a business management software built to do just that. ERP systems by deployment options Some of the more well-known ERP software offerings are SAP S/4HANA , Oracle Netsuite , Microsoft Azure , Infor CloudSuite and Acumatica Cloud ERP.

Enterprise 92

Enterprise Cost-Benefit Consulting Software 92

datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? 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?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

Unstructured Data 134

Unstructured Data Uncertainty Risk Data Processing 134

CIO Business Intelligence

JULY 18, 2023

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

Manufacturing 95

Manufacturing Forecasting Software Marketing 95

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 80

Key Performance Indicator Forecasting Data Integration Sales 80

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 69

B2B Interactive Optimization Forecasting 69

Jet Global

DECEMBER 8, 2020

Power BI is not just a product you install and configure; it is a many-month-long software project built on a complicated mix of technology components. Consider the track record of software projects in general. A full Power BI implementation is a large-scale project, and it carries similar risks. Power BI Without the Risk.

Finance 52

Finance Risk Reporting Software 52

CIO Business Intelligence

NOVEMBER 20, 2023

If you look at the advances we have seen in AI, with the large amounts of data that large language models can process, we can safely hand off various decisions to machines,” says Prasad Ramakrishnan, CIO & SVP of IT at Freshworks. Outcomes are fed back into machine learning models to improve prediction accuracy continually.

Sales 127

Sales Cost-Benefit Manufacturing Forecasting 127

IBM Big Data Hub

DECEMBER 18, 2023

Weather forecasting As extreme weather events increase in intensity and frequency across the globe, planning and preparing for them is crucial for governments and organizations alike. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

Internet of Things 104

Internet of Things IoT Forecasting Visualization 104

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 123

Enterprise Modeling Testing Data-driven 123

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

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. The second challenge is managing new risks, which stem primarily from the threat of misinformation.

Unstructured Data 105

Unstructured Data Cost-Benefit Risk Data-driven 105

CIO Business Intelligence

JANUARY 4, 2023

Experts point to Southwest’s point-to-point operating model as problematic in recovering from major weather issues compared to the hub-and-spoke model used by many major airlines. Has IT invested or piloted a digital twin to help model operational changes and support decision-making during a crisis?

Digital Transformation 134

Digital Transformation Software Technology Modeling 134

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. As solar PV systems are added, the calculation methods automatically adapt.

Machine Learning 97

Machine Learning Forecasting Measurement Data Warehouse 97

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 108

Analytics Digital Transformation Risk Forecasting 108

CIO Business Intelligence

AUGUST 24, 2023

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.” Not without warning signs, however.

Uncertainty 96

Uncertainty Risk Testing Enterprise 96

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. Employers can use HR software that relies extensively on data analytics technology to minimize the need for unnecessary HR professionals. Choosing the right staffing model.

Data Analytics 127

Data Analytics Management Analytics Big Data 127