Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 81

Manufacturing IoT Forecasting Machine Learning 81

DataRobot Blog

MARCH 10, 2022

As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses. Time-Series Forecasting?—? Manufacturers are attempting to monitor their facilities in near real-time.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

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. . Data and analytics. Broader data sets . That is no longer good enough.

Manufacturing 87

Manufacturing Forecasting Digital Transformation Sales 87

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

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. Manufacturing and Industry 4.0

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Clinical DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 70

B2B Interactive Optimization Forecasting 70

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

OCTOBER 17, 2023

They use high temperature heat in many of their processes that is primarily driven by fossil fuel. For example, say we predict the quality of the clinker in advance, then we are able to optimize the heat energy and combustion in the cement kiln in such a way that quality clinker is produced at minimum energy.

Modeling 105

Modeling Optimization Manufacturing Forecasting 105

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Using Data to Generate Simulations.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

Cloudera

DECEMBER 15, 2017

Manufacturing as an industry has always been at the forefront of squeezing value from data. Instrumentation, highly connected systems, and automation have been part and parcel of manufacturing organisations for decades. Yet many manufacturers now feel they’ve bumped up against a ceiling. A whole new world.

Manufacturing 40

Manufacturing IoT Machine Learning Data-driven 40

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. 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.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

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

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

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. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

IT 122

IT Insurance Recreation/Entertainment Consulting 122

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

bridgei2i

JUNE 3, 2020

CTD’s growth over the last two decades was aided by technological innovation and the steady drop of electronics components’ costs, driven by economies of scale. However, Italy, which seems to be flattening the curve, has started showing signs of optimism. Apple launched an iPhone version almost every three months. Mobile electronics.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

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 63

Consulting Machine Learning Manufacturing Optimization 63

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Customers have too many options.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Sisense

FEBRUARY 1, 2021

Although many publications compare product data management and product life cycle management — commonly framing the debate as “PDM versus PLM” — that can create confusion. The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 76

Manufacturing Technology Internet of Things Cost-Benefit 76

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jedox

MARCH 5, 2020

Outdated and ailing platforms eventually lead to a loss of productivity and efficiency which ultimately causes the organization to lose their competitive edge and ability to optimize their value creation. There is no way around having an approach based on data for sound planning in modern business. The same applies to reporting.

Data-driven 52

Data-driven Software Manufacturing Forecasting 52

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. Improvements were needed for imaging and data storage. Fujitsu has recently started embracing the benefits of big data. Magnets are ancient devices.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

bridgei2i

JUNE 30, 2020

Recent data indicates that daily e-commerce sales are up by 25 percent in the US and by 33 percent in the UK. The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. They need to figure out ways on how to balance their workforce with the right skills and also optimize cost.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

bridgei2i

SEPTEMBER 1, 2020

With the unpredictability in the supply and distribution channels, several manufacturers took to D2C or Direct-to-Consumer platforms. Research from the customer data platform Amperity shows how purchases have changed during the COVID-19 times. YoY, driven by a record usage of social networks. Souce: Amperity Survey Report.

Sales 52

Sales Metrics Optimization Enterprise 52

bridgei2i

JULY 21, 2020

Now, those were some of the impacts from a manufacturing perspective, but from a supply-side to be able to supply to retailers, I think retailers are also demanding that products should be fulfilled a lot more faster and frequently. Also, Melita, planning, and forecasting, as I spoke about this earlier, is becoming a huge challenge.

Enterprise 95

Enterprise Digital Transformation Sales Forecasting 95

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. Batch processing is not the best fit in this scenario.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

bridgei2i

JULY 8, 2020

If you’re, say, selling disinfectants or essential goods, you’re wondering how to manufacture and ship these goods to the consumer. In the short run, this means they have to get their demand forecast right. Their head is like can we augment data from other data sources that can give us a glimpse into the future.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Jet Global

APRIL 13, 2020

Manufacturers have always grappled with changing demand. Planning tools have become a standard part of the toolkit for manufacturing companies. In the digital age, the amount of information driving demand forecasts has increased, and demand data has flowed faster and more efficiently than ever before. 2: Eliminate Silos.

Manufacturing 98

Manufacturing Reporting Finance Forecasting 98