Smart Data Collective

JUNE 11, 2019

One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant. Manufacturers are always looking for ways to make marginal improvements in their systems and how they operate.

Manufacturing 94

Manufacturing Analytics Big Data Data mining 94

CIO Business Intelligence

FEBRUARY 13, 2024

Oracle is adding new capabilities to its Supply Chain and Manufacturing (SCM) Fusion Cloud to help enterprises manage their logistics. This enables application users to bid on spot market shipments, capture shipment actuals, and launch maps, Oracle said. billion, according to the Gartner forecast made in late 2022.

Management 107

Management Forecasting Machine Learning Business Intelligence 107

IBM Big Data Hub

DECEMBER 19, 2023

It could also just be a sign that a particular marketing initiative is working. Because all sales data is known, patterns can be analyzed for insights into products, marketing and seasonality. Weather forecasting By using historical data, supervised learning algorithms can assist in the prediction of weather patterns.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

CIO Business Intelligence

MAY 21, 2024

Multimodal foundation models combine multiple modes, such as text, audio, image, and video, and are capable of generating captions for images or answering questions about images, according to IDC’s Market Glance: Generative Foundation AI Models. One of our retail customers is starting to talk about pulling in weather data.

IT 121

IT Cost-Benefit Experimentation Forecasting 121

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 92

Manufacturing Forecasting Digital Transformation Sales 92

Cloudera

SEPTEMBER 18, 2020

Demand Forecasting – Companies must move beyond basic demand forecasting using only historical transaction data to leveraging real-time datasets and external consumer demand signals. The pandemic has been a call to action for both the manufacturing and retail industries and that is the bottom line with COVID. Brent Biddulph: .

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

IBM Big Data Hub

FEBRUARY 19, 2024

On top of disruption, companies with global supply chains must also deal with different regulatory environments, cultural norms and market conditions. Key strategies for effective supply chain management There are a number of ways that companies can better optimize and manage their supply chains.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

CIO Business Intelligence

JULY 18, 2023

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. The resulting imagery can be used for marketing or collaborating on new designs and manufacturing processes.

Manufacturing 93

Manufacturing Forecasting Software Testing 93

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

JUNE 3, 2024

Brush up on tactics to counteract inflation and the twisted economics of the cloud Cloud adoption brings scalability benefits but also twisted economics spawning unpredictable costs without an intentional approach to cost optimization. The bottom line: CFOs and CIOs need fixed costs for easier budgeting and forecasting.

Cost-Benefit 86

Cost-Benefit Optimization ROI Strategy 86

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

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. Sales optimization In sales, AI can provide account reps with the information they need to close deals. Here’s a look at a few areas where it’s gaining influence. AI can help every step of the way.

Sales 124

Sales Cost-Benefit Manufacturing Forecasting 124

bridgei2i

JULY 4, 2019

Machine learning-based Sell-In Forecasting for Consumer Electronics. The client, a Korean MNC that designs, manufactures and markets Home Appliances such as Refrigerators, Washers, and Microwaves and operates as over 100 subsidiaries globally. Our Forecasting Engine is a Proven Tool to Improve Visibility. Case study.

Machine Learning 40

Machine Learning Forecasting Manufacturing Optimization 40

CIO Business Intelligence

MARCH 22, 2022

Digital twins, numerical models that reflect changes in real-world objects useful in design, manufacturing, and service creation, vary in their level of detail. FourCastNet (named for the Fourier neural operators used in its calculations) is a weather forecasting tool trained on 10 terabytes of data. Seeing double.

Modeling 121

Modeling Machine Learning Forecasting Optimization 121

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. The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

IBM Big Data Hub

FEBRUARY 13, 2024

Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. The benefits of strategic sourcing are vast, ranging from overall supply chain process optimization to more cost-effective, long-term relationships with partners.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

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 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 billion by 2030. How fast are product changes in Formula 1 racing design?

Manufacturing 98

Manufacturing Digital Transformation Predictive Analytics Strategy 98

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. 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

IBM Big Data Hub

MARCH 8, 2024

Wind and solar photovoltaic (PV) power generation are forecast to exceed nuclear power generation in 2025 and 2026, respectively. Other incentives encouraging the production and use of solar power include feed-in-tariffs , tax credits and auctions in which solar power providers compete on energy market price to win contracts.

Forecasting 67

Forecasting Manufacturing Measurement Finance 67

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. You worry you don’t have enough capacity, so you overprovision,” he says.

Cost-Benefit 108

Cost-Benefit Measurement Optimization Metrics 108

Smart Data Collective

APRIL 21, 2022

More solar manufacturers are turning to the IoT to get the most output for their customers. The global smart solar market was worth over $8.5 This will as well ensure accuracy in forecasting power generation rates and respective grid adjustments. Effective production forecast. billion in 2019 and is growing rapidly.

IoT 100

IoT Internet of Things Forecasting Predictive Modeling 100

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. See what’s ahead AI can assist with forecasting. Over at Spotify, they’ll suggest a new artist for the customer’s listening pleasure.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

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. However, generative AI can create value by generating multilingual support and personalized marketing content.

B2B 64

B2B Interactive Optimization Forecasting 64

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). Fig 1: The Enterprise Data Lifecycle. Data Collection Challenge.

Digital Transformation 109

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 109

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. At Eaton, for example, an AI-based sales forecasting tool has the potential to boost productivity dramatically. We want to maintain discipline and go deep.”

Enterprise 126

Enterprise Cost-Benefit Forecasting Sales 126

bridgei2i

JUNE 3, 2020

The Boston Consulting Group’s Consumer Sentiment Survey during March, 2020, has offered insights into how consumer sentiment has changed in major markets and how it is reflected in demand for consumer durables. However, Italy, which seems to be flattening the curve, has started showing signs of optimism. Priorities have changed.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 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

Smarten

JUNE 8, 2022

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. Citizen Data Scientists can use many types of algorithms and techniques to analyze, identify trends, predict, forecast and problem solve.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

datapine

JUNE 5, 2019

Business intelligence (BI) is a term that relates to the applications, infrastructure, practices, and tools that empower businesses to access a broad range of analytical data for improvement, campaign optimization , and enhanced decision-making that maximizes performance. and industries (healthcare, retail, logistics, manufacturing, etc.).

Dashboards 316

Dashboards KPI Sales Visualization 316

Smarten

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Marketing Optimization. Online Target Marketing. Fraud Mitigation.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

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. What’s hiding in your unstructured data?

Unstructured Data 92

Unstructured Data IoT Metadata Manufacturing 92

CIO Business Intelligence

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. Other relevant roles include security professionals, project managers, UX/UI designers, product managers, data analysts, and business analysts.

IT 114

IT Insurance Recreation/Entertainment Consulting 114

IBM Big Data Hub

FEBRUARY 13, 2024

Streamline workflows with personalized content creation, tailored product descriptions and market-ready copy. Many marketing and sales leaders acted rapidly and are already infusing generative AI into their workflows. Automate tedious, repetitive tasks. Garbage in, garbage out.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help.

Data mining 125

Data mining Data-driven Statistics OLAP 125

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

bridgei2i

MARCH 18, 2019

Think CPG Industry and the mind conjures up visions of massive manufacturing units and loads of packaged goods stocked upon gigantic shelves. Add AI into the picture, and you can almost visualize a large, mechanized bot hauling things around the warehouse. But is this all there is to AI In CPG Industry? Certainly not!

Manufacturing 61

Manufacturing Data Processing Forecasting Sales 61