Jedox

AUGUST 13, 2020

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

Forecasting 52

Forecasting Risk Finance Software 52

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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 119

Manufacturing Forecasting Technology Software 119

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. We don’t want to just go off to the next shiny object,” she says. “We We want to maintain discipline and go deep.” On-time delivery has improved substantially,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

IBM Big Data Hub

DECEMBER 18, 2023

For example, planners in fire-prone California use tools that incorporate remote sensing, vector data and satellite images to formulate disaster response plans and optimal placement of fire hydrants. Optimizing crew schedules and shifting to proactive maintenance helps minimize downtime while increasing customer satisfaction.

Internet of Things 104

Internet of Things IoT Forecasting Visualization 104

Smart Data Collective

DECEMBER 16, 2019

In the search for a solution that will access, organize, and cleanse their data, enterprises have no alternative but to invest in high-end data optimization software. 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

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 81

Key Performance Indicator Forecasting Data Integration Sales 81

IBM Big Data Hub

JANUARY 22, 2024

Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Gartner predicts data center teams will adopt cloud principles even for on-premises infrastructure to help optimize performance, management and cost. Data centers are undergoing significant evolution.

Data-driven 108

Data-driven Forecasting Consulting Marketing 108

CIO Business Intelligence

NOVEMBER 20, 2023

Sales optimization In sales, AI can provide account reps with the information they need to close deals. An AI system can gather data from customer relationship management software, social media profiles, email interactions, and purchase histories to identify the candidates most likely to convert. AI can help every step of the way.

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

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 70

B2B Interactive Optimization Forecasting 70

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 111

IT Cost-Benefit Insurance Unstructured Data 111

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 93

Enterprise Cost-Benefit Consulting Software 93

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

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 85

Cost-Benefit Scorecard Risk Recreation/Entertainment 85

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

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 105

Machine Learning Forecasting Measurement Data Warehouse 105

CIO Business Intelligence

OCTOBER 11, 2023

AI also forecasts demand so that energy companies can plan their modernization and expansion efforts. As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low. AI can help by proactively monitoring operations and flagging when an organization is at risk for non-compliance.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

IBM Big Data Hub

JULY 26, 2023

Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting. AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. Matching resources to demand more closely helps to save energy.

Optimization 78

Optimization Manufacturing Cost-Benefit Reporting 78

CIO Business Intelligence

SEPTEMBER 7, 2023

The second challenge is managing new risks, which stem primarily from the threat of misinformation. Since the consequence of failure is high, the defense industry must strike a deft balance between innovation and risk management. (more about this in my article about accelerating generative AI here ). billion by 2032.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. 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. This is particularly true for AI products.

Marketing 362

Marketing Experimentation Metrics Testing 362

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

DECEMBER 13, 2023

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk.

Strategy 71

Strategy Cost-Benefit Key Performance Indicator Consulting 71

datapine

JUNE 15, 2023

On the contrary, organizations that fail to implement online data analysis tools to track and optimize their performance will simply stay behind. By being able to make informed decisions, you’ll ensure your goals are being met with less financial risk, thanks to smart resource allocation. What Is The Importance of Performance Reports?

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

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 98

Manufacturing Forecasting Software Marketing 98

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

datapine

OCTOBER 11, 2023

It allows for informed decision-making and efficient risk mitigation. Being able to inform your strategies with actual facts instead of intuition will enable you to optimize your resources and ensure you are continuously improving. Explore our modern KPI software for 14 days, completely free!

Metrics 217

Metrics KPI Management Cost-Benefit 217

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 61

Cost-Benefit Finance Optimization Key Performance Indicator 61

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. SQL manages and retrieves data from databases, handling larger datasets.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

SEPTEMBER 28, 2021

Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. l Improved Risk Management. They may be able to optimize their operations, cut costs, and gain insight into their business. l Automated Production Efficiency.

IoT 132

IoT Internet of Things Cost-Benefit Consulting 132

IBM Big Data Hub

FEBRUARY 13, 2024

Code generation : Software developers and programmers use generative AI to write code. This includes technical documentation, user manuals and other relevant materials that accompany software development. Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. in concert with Microsoft’s AI-optimized Azure platform.

Risk 141

Risk Manufacturing Enterprise Technology 141

IBM Big Data Hub

MAY 6, 2024

Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. Additionally, generative adversarial networks (GANs) can be used to simulate real recruitment scenarios, further optimizing protocol design.

Advertising 71

Advertising Data-driven Optimization Strategy 71

DataKitchen

DECEMBER 9, 2022

By providing real-time visibility into the performance and behavior of data-related systems, DataOps observability enables organizations to identify and address issues before they become critical, and to optimize their data-related workflows for maximum efficiency and effectiveness.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

IBM Big Data Hub

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. AI software can identify when and how resources are used, and match actual demand in real time.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Jet Global

NOVEMBER 3, 2020

The good news is that by taking a proactive stance toward your tax planning strategy and aligning it with your corporate initiatives, you can optimize your organization’s approach to taxes, increasing profitability while maintaining a sterling reputation and keeping investors and other stakeholders happy. Maximizing Profitability.

Strategy 84

Strategy Digital Transformation Software Cost-Benefit 84

IBM Big Data Hub

JUNE 20, 2023

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. Greater alignment across business units: Optimize management processes according to a variety of factors beyond just the condition of a piece of equipment.

Strategy 76

Strategy Management Cost-Benefit IoT 76

bridgei2i

MAY 17, 2021

In addition, it can counter the various pitfalls in profiling customers and credit scoring and reducing the supply chain’s potential risks. It helps to legitimize a new customer applying for credit, select the right credit product, and optimize a credit check. AI And Risk Management. billion by 2026. AI And Trading.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52