IBM Big Data Hub

JANUARY 16, 2024

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Business value : This measures product outcomes within the context of key performance indicators (KPIs) and the broader business strategy.

Strategy 84

Strategy Cost-Benefit Testing Manufacturing 84

Jet Global

JANUARY 4, 2021

The events of 2020 were nearly impossible to predict and almost as impossible to confidently respond to. Planners began to integrate functional and departmental plans into their own forecasts. Planners began tying operational plans and scenario planning together for better forecasts. This isn’t surprising, though.

Forecasting 98

Forecasting Finance Testing Sales 98

Smart Data Collective

AUGUST 7, 2022

She told us that she increased her bitcoin profits 150% after she started using data analytics tools to forecast price movements. Data analytics tools can help traders predict the impact that major socioeconomic events will have on bitcoin prices. Despite these advantages, there are also some risks associated with bitcoin trading.

Analytics 104

Analytics Data Analytics Finance Analytics Technologies 104

CIO Business Intelligence

OCTOBER 1, 2022

The pandemic, escalating geopolitical tensions, cyberattacks, and severe weather events have made the supply chain a universal issue subject to boardroom and even White House scrutiny. Prior to the pandemic, most people — even businesses — took supply chains for granted. This is no longer the case.

Cost-Benefit 111

Cost-Benefit Manufacturing Forecasting Metrics 111

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 61

Optimization Forecasting Data-driven Strategy 61

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 140

Risk Manufacturing Enterprise Technology 140

IBM Big Data Hub

OCTOBER 30, 2023

Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

Rita Sallam

APRIL 2, 2023

Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Are there mitigation strategies that show reasons for optimism?

Optimization 52

Optimization Machine Learning Insurance Risk 52

CDW Research Hub

OCTOBER 19, 2021

However, CDW has not completed its reconciliation of Sirius’ non-GAAP financial measures to its non-GAAP financial measures, and any future reconciliation may be material. These statements relate to analyses and other information, which are based on forecasts of future results or events and estimates of amounts not yet determinable.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

Jet Global

AUGUST 20, 2020

One such challenge TP teams are tasked with is understanding changes in allocated risk across different entities within their supply chains. Since these operations can be carried out in different countries and within different market segments, the risk to each entity from COVID-19’s impact will vary. Managing People Risk.

Management 72

Management Cost-Benefit Risk Forecasting 72

DataRobot

JUNE 1, 2021

You should first identify potential compliance risks, with each additional step again tested against risks. Managing risk for any model involves understanding which monitoring and risk-mitigation procedures apply. Think of it like deciding what to wear to an outdoor event. Is rain 40% likely?

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

IBM Big Data Hub

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. Ensuring early assumptions resonate with real-world execution is paramount.

Advertising 73

Advertising Data-driven Optimization Strategy 73

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

Smart Data Collective

JUNE 4, 2021

Probability is the measurement of the likelihood of events. Probability distributions are collections of all events and their probabilities. The list of rewards and risks is given as input to the algorithm. The algorithm deduces the best approaches to maximize rewards and minimize risks. Probability. Reinforcement.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

DECEMBER 21, 2023

In order to comply with the new Standard, the industry will need to adapt its existing security measures to meet the tightened security controls, calling for a comprehensive review and potential overhaul of its cybersecurity infrastructure. 1] That’s a great idea. But what about in-person payments? becomes the only Standard available.

Measurement 52

Measurement Risk Management Risk Management 52

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

Jet Global

APRIL 26, 2021

Typically, a debt covenant report provides some key financial measures relative to profitability, solvency, and other metrics that provide visibility to the company’s performance. Profitability ratios are often broken down into two subgroups: ratios that measure margins, and those that measure returns.

Reporting 52

Reporting Finance Operational Reporting Measurement 52

bridgei2i

JUNE 3, 2020

Demand for minimal physical interaction/low human touch products: Due to the risk of infection, customers want to pick up products with minimal human contact. BRIDGEi2i helped a Health Tech firm in assessing supply risk due to its China-dependence during the current crisis & helped it consider alternate sources of procurement.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

DataKitchen

DECEMBER 9, 2022

This can include monitoring the flow of data through pipelines, tracking the quality and completeness of data sets, and measuring the performance of data-related systems and processes. This can include analyzing data to identify patterns and trends, and using predictive analytics to forecast future outcomes and guide decision making.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

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. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

IBM Big Data Hub

MARCH 12, 2024

Extreme weather events can be catastrophic to both people and the environment. Today, utilities are meeting these challenges and risks with innovation by leaning on data and AI to prepare for the next event. Identifying at-risk assets in advance is a main challenge for utilities.

Risk 64

Risk Forecasting Data-driven IoT 64

Jet Global

DECEMBER 21, 2020

In the more modern terminology of business, we could rephrase that to say “be careful about concentration risk.”. When an organization is too reliant on one company or market segment to drive revenue or ensure an adequate product supply, it creates concentration risk. Vendor Concentration Risk.

Risk 98

Risk Reporting Sales Forecasting 98

Jet Global

JANUARY 28, 2021

Far-reaching global events are becoming ever more common disturbances for multinational enterprises (MNEs), yet their impacts remain difficult to predict and mitigate. Read our top tips on how to manage tax forecasts. Such impacts include changes to pricing, cross-border transactions, tax regimes and government assistance programs.

Software 98

Software Forecasting Finance Measurement 98

datapine

OCTOBER 21, 2020

If you put on too many workers, you run the risk of having unnecessary labor costs add up. For example, if a patient’s blood pressure increases alarmingly, the system will send an alert in real-time to the doctor who will then take action to reach the patient and administer measures to lower the pressure. on a permanent basis.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

CIO Business Intelligence

NOVEMBER 2, 2023

IT leaders say that the requirements for successful gen AI use include accurate, complete, and unified data (55%); enhanced security measures to avert new threats to the business (54%); and ethical use guidelines (30%). I need to know my forecast. I need to know what my upcoming events are.

Data Strategy 134

Data Strategy Strategy Sales Data Governance 134

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 79

Insurance Risk Data-driven Finance 79

CIO Business Intelligence

OCTOBER 30, 2023

The summit, on November 1-2, is to consider the risks posed by AI, especially “frontier” AI models such as the more advanced examples of generative AI. That’s why learning to better forecast unpredictable leaps in AI capability, and keeping AI under human control and oversight, are also on the summit agenda.

Risk 137

Risk Cost-Benefit Enterprise Modeling 137

Jet Global

JULY 13, 2022

Equity Plan Management: Seven Risks of Spreadsheets and Three Routes to Elimate Them. If you have valuated your company before, remember that your 409A Valuation will be valid for 12 months from the effective valuation date or the validity ends when a material event occurs. Forecasted revenue for the next year. Download Now.

Reporting 52

Reporting Finance Cost-Benefit Marketing 52

Jet Global

MARCH 4, 2020

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. While this is important, what if you could grow your bottom line without having to take on expansion risks? What Is A Manufacturing KPI? View Guide Now.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

Jet Global

MARCH 10, 2021

Sales forecasts lay out expected revenue, department heads pull together their wish lists for the coming year, and finance brings it all together into a cohesive structure, after which the negotiation process can begin. Traditionally, business planning happens on a fairly predictable cadence.

Management 98

Management Cost-Benefit Forecasting ROI 98

datapine

APRIL 9, 2019

By leveraging HR KPIs (Key Performance Indicators), which are measurements that enable businesses to track very specific areas of human resources-related data, companies like yours can continuously and consistently improve their HR capabilities. a) Recruiting HR Report Template and KPIs.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Measure how these decisions vary across your population. Upcoming events.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

MARCH 26, 2024

Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. You need to process this to make it ready for analysis.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

FineReport

MAY 25, 2023

FTE provides an accurate measure of the organization’s total workload, and employees working less than 1 FTE are considered part-time workers. These data play a crucial role in enabling HR to make informed hiring decisions while enhancing forecasting and planning effectiveness.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. A rule-learning program in high energy physics event classification. The use of multiple measurements in taxonomic problems. Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

FEBRUARY 4, 2019

Hotel staff had to nudge people out of the hall, long after that event was supposed to close. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66