Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm. For example, the trading duration, volatility and risk involved, among other things.

Visualization 133

Visualization Optimization Analytics Testing 133

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. You need to “identify benefits and risks,” Seiter said.

Optimization 111

Optimization Cost-Benefit Consulting Strategy 111

IBM Big Data Hub

MAY 1, 2024

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 78

Forecasting Optimization Digital Transformation Risk 78

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. In tech speak, this means the semantic layer is optimized for the intended audience. This can save budget owners time and shorten planning cycles.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

OCTOBER 9, 2024

Given supply chain complexities involving workforce capacity, demand forecasting, supply and transportation planning, and inventory and maintenance management, Petrobras was compromised by siloed and disparate data, information gaps, and broken end-to-end (E2E) processes. That hasn’t always been easy.

Forecasting 116

Forecasting Risk Consulting Optimization 116

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

Jet Global

MARCH 30, 2021

It follows that tax teams should think about how they can make significant contributions to the ERM planning process by providing short, mid- and long-term ETR forecasts based on accurate financial information. Take Responsibility for Risk Oversight. Take Responsibility for Risk Oversight. Foster an Appropriate Risk Mindset.

Risk Management 98

Risk Management Risk Strategy Enterprise 98

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. Establish and support continuous improvement initiatives.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

Predictive analytics also can be used to signal when forecasts or forecast components diverge from plan, allowing enterprises to react to changing circumstances sooner and with greater accuracy and coordination. This helps them maintain optimal inventory levels, reducing costs as well as the risk of overstocking or stockouts.

Management 130

Management IT Sales Manufacturing 130

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Ultimately, enabling real-time monitoring of site activities and enrollment progress could prompt timely mitigation actions ahead of time.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

CIO Business Intelligence

SEPTEMBER 26, 2024

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. That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs).

Enterprise 128

Enterprise Data-driven Risk Testing 128

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

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

OCTOBER 16, 2024

Dairyland Power Cooperative, a Wisconsin-based electricity supply company, for example, has turned to gen AI to improve optimization and performance of infrastructure in the field. “AI Edge computing can reduce latency, lower cost, and lower data exposure risks.” Another sector is manufacturing.

Cost-Benefit 143

Cost-Benefit Manufacturing Data-driven Optimization 143

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

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

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 142

Manufacturing Cost-Benefit Unstructured Data Optimization 142

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Better customer satisfaction : An optimized supply chain allows businesses to make sure products are available when and where people want them—which can improve relationships and loyalty with customers.

Strategy 81

Strategy Management Forecasting Internet of Things 81

CIO Business Intelligence

OCTOBER 1, 2024

Cost optimization. Repatriation can reduce the risk of breaches and streamline compliance with regulations like GDPR or HIPAA. Gartner forecasts that worldwide end-user spending on public cloud services will reach $679 billion in 2024, up from $597 billion in 2023. Security and compliance. Performance. 18, 2023. “37

Forecasting 110

Forecasting Enterprise Strategy Risk 110

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Forecast Time Series at Scale with Google BigQuery and DataRobot.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

OCTOBER 29, 2024

So much so that it cites the US Bureau of Labor Statistics which forecasts that nearly two million healthcare workers will be needed each year to keep up with domestic demand.

Cost-Benefit 114

Cost-Benefit Statistics Enterprise Forecasting 114

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Machine Learning Insurance Data Science 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. However, there is one form of AI that will allow businesses to see almost an immediate value: Predictive AI.

Forecasting 132

Forecasting Machine Learning Software Data-driven 132

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

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

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

Smarten

MAY 17, 2019

Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

Predictive Analytics 66

Predictive Analytics Forecasting Analytics Predictive Modeling 66

CIO Business Intelligence

OCTOBER 2, 2024

For instance, companies in sectors like manufacturing or consumer goods often leverage AI to optimize their supply chain. Every AI system introduces certain risks, whether related to cybersecurity, operational disruptions or legal liabilities. Identify gaps related to ethics, transparency, risk and compliance.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

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

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

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

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

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. 8 Complexity. Operational costs.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

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.

Data Processing 95

Data Processing Forecasting Risk Optimization 95

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 104

Finance Forecasting IoT Predictive Modeling 104