David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Verticals and related subverticals include manufacturing, food and beverage, hospitality, healthcare, distribution and retail. The results can be used to uncover the source of bottlenecks, delays, unseen risks and unnecessary workloads that, in turn, allows organizations to institute improvements.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . What they have learned is that often their legacy Machine Learning models (e.g.

Manufacturing 91

Manufacturing Forecasting Digital Transformation Sales 91

CIO Business Intelligence

OCTOBER 16, 2024

Edge computing can reduce latency, lower cost, and lower data exposure risks.” And according to Fortalice Solutions’ Payton, moving data processing closer to where it’s created is especially beneficial for applications that require immediate action and real-time insights, whether in retail, manufacturing, or customer experiences.

Cost-Benefit 143

Cost-Benefit Manufacturing Data-driven Optimization 143

CIO Business Intelligence

SEPTEMBER 26, 2024

And as part of it, both manufacturers and retailers will transition to 2D barcodes over the next three years. “A RFID-enabled visibility can also mitigate counterfeiting and gray market diversion risks, he adds, while streamlining recalls and sharpening compliance with regulatory requirements.

IT 131

IT Manufacturing IoT Cost-Benefit 131

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. Automotive: Incorporate records of component sturdiness and failure into upcoming vehicle manufacturing plans.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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. Fourth-Party Concentration Risk.

Risk 98

Risk Sales Reporting Forecasting 98

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

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

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Keeping pace with the connected consumer, embracing emerging trends in shopping, or staying ahead of the competition—these challenges bear down on retailers and manufacturers greater than ever before.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Jet Global

MARCH 4, 2020

What Is A Manufacturing KPI? 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. Why Your Company Should Be Using Manufacturing Specific KPIs to Stay Competitive. How to Build Useful KPI Dashboards.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

Dataiku

JANUARY 11, 2022

All industrial companies are engaged in a race to reduce their CO 2 emissions in order to adapt to a shift in market demand and better manage their environmental risks and obligations to comply both with financial market requests and future regulatory requirements. But doing so is far from simple.

Manufacturing 59

Manufacturing Forecasting Risk Marketing 59

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

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

Cloudera

FEBRUARY 3, 2021

COVID-19 vaccines from various manufacturers are being approved by more countries, but that doesn’t mean that they will be available at your local pharmacy or mass vaccination centers anytime soon. The COVID-19 vaccine distribution is one of the most challenging manufacturing and supply chain issues facing the world right now.

Manufacturing 107

Manufacturing Forecasting Internet of Things Risk 107

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

Strategy 81

Strategy Management Forecasting Internet of Things 81

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 Testing 98

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. Manufacturing and Industry 4.0 For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. And that’s not all.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. While the existent tools cover typical use cases, the next step is to set up a custom forecasting module to perfectly meet your needs and configuration.

Analytics 120

Analytics Predictive Analytics Machine Learning Insurance 120

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

IBM Big Data Hub

JUNE 30, 2023

Pair that with a semiconductor shortage amidst global car sales that are forecasted to top 69 million , and you can understand that disruptions in the automotive supply chain would be detrimental to the industry.​ For example, the chip shortage has been a call to action for both original equipment manufacturers (OEMs) and suppliers.

B2B 62

B2B Manufacturing Consulting Forecasting 62

CIO Business Intelligence

NOVEMBER 12, 2024

For iconic food manufacturer Welch’s , the move from vendor support for their Oracle Database to Rimini Street enabled their teams to reallocate their focus towards the creation of new application extensions for the business rather than working on troubleshooting. They are now much more in control of their IT roadmap.”

Statistics 52

Statistics Unstructured Data Cost-Benefit Data Lake 52

IBM Big Data Hub

JANUARY 25, 2024

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. What’s at stake? trillion, up from USD 864 billion in 2019 to 2020.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

CIO Business Intelligence

NOVEMBER 20, 2023

AI is becoming an integral part of decision-making for many different business functions – from finance to manufacturing to sales. Hotels could dynamically adjust room rates based on traffic forecasts, weather conditions, and events in the area. Here’s a look at a few areas where it’s gaining influence.

Sales 131

Sales Cost-Benefit Manufacturing Forecasting 131

CIO Business Intelligence

OCTOBER 1, 2024

Most have built a level of agility to accommodate or mitigate these risks and will be checking in with their suppliers and taking steps to reserve critical resources.” Pfizer put analytics to work to establish a shared view of end-to-end manufacturing and supply operational performance for its pharmaceuticals.

Predictive Analytics 126

Predictive Analytics Machine Learning Digital Transformation Manufacturing 126

CIO Business Intelligence

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We At Eaton, for example, an AI-based sales forecasting tool has the potential to boost productivity dramatically.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

CIO Business Intelligence

JUNE 6, 2024

The transformative power of gen AI can already be seen in manufacturing, with businesses running demand forecasting based on historical data, customer buying patterns, and other factors.

Cost-Benefit 92

Cost-Benefit IT Data-driven Digital Transformation 92

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

DECEMBER 18, 2023

Developing generative AI implementation strategies will be imperative for technology leaders, prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency. Everyone is talking about GenAI. There is a lack of data maturity (integrity, quality, lineage etc.)

Cost-Benefit 109

Cost-Benefit Risk Strategy Manufacturing 109

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. 2 For instance, through sustainable strategic sourcing, companies consider questions like: Do manufacturing plants minimize waste and effectively use resources?

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

IBM Big Data Hub

JUNE 10, 2024

As an example of what such a monumental number means from a different perspective, chip manufacturer Ar m claimed to have shipped 7.3 By running advanced analyses on such data and then applying a range of different scenarios to that data, risk management systems that CPUs enable can help financial institutions reduce losses.

Manufacturing 64

Manufacturing Forecasting Data-driven Internet of Things 64

DataRobot

NOVEMBER 15, 2021

Banking organizations can reduce overhead and scale machine learning services as required to deliver on critical use cases like model risk and validation, anti-money laundering, fraud detection, and credit and repayment risk. DataRobot & Palantir Foundry Demand Forecasting Solution. DataRobot AI Cloud on AWS. Learn more.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Andrew White

MAY 21, 2022

Every business model, every forecasted action and every investment theses was turned upside down, almost overnight. Check out 7 Risk Areas Every Executive Should Expect and Manage Following the Russian Invasion of Ukraine. When the market perceives risk, capital seeks the safest investments. Everything was to be digital, or die.

Risk 75

Risk Forecasting Marketing Manufacturing 75

IBM Big Data Hub

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. AI helps address this problem by combining aspects like demand forecasting, last – mile delivery , and routing optimization.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

datapine

JUNE 15, 2023

By being able to make informed decisions, you’ll ensure your goals are being met with less financial risk, thanks to smart resource allocation. This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

CIO Business Intelligence

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Jet Global

APRIL 27, 2020

In just a few short weeks, many companies’ sales forecasts have been rendered obsolete. Re-Assess Your Risks. Start with key make-or-break assumptions such as sales forecasts, receivables, cash flow, and the reliability of your supply chain. Some of your risks may be less obvious. Forecast Early and Often.

Forecasting 80

Forecasting Finance Metrics Risk 80

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. Still, as Whyde concedes, “some of the concern around risk of adoption of AI is distressing.”

Risk 141

Risk Manufacturing Enterprise Technology 141