DataRobot

JULY 22, 2021

Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Smart Data Collective

JANUARY 14, 2021

Big data technology is becoming extremely important for project management in 2021. A growing number of companies are finding new ways to use data-driven tools to streamline various aspects of their projects, including editing workflows. We talked before about editing data science workflows. And this is what you want.

Data-driven 68

Data-driven Big Data Machine Learning Technology 68

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. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 116

Manufacturing Digital Transformation Predictive Analytics Strategy 116

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 113

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 113

CIO Business Intelligence

JANUARY 25, 2024

Subbaiah believes those who excel in four core abilities will thrive in the digitally driven enterprise. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We Along these lines, predictive analytics is one field destined for AI-powered growth.

Deep Learning 113

Deep Learning Cost-Benefit Statistics Manufacturing 113

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

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

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

CIO Business Intelligence

APRIL 6, 2022

The industry is buzzing with bold ideas such as “the edge will eat the cloud” and real-time automation will spread across healthcare, retail, and manufacturing. These data flows then had to be correlated into what is commonly referred to as sensor-fusion. The data at the edge matters most in the short-term.

IoT 104

IoT Internet of Things Data-driven Manufacturing 104

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Vehicle data processing allows to increase industry standards and design better solutions for maximum benefits.

Software 126

Software Machine Learning B2B Manufacturing 126

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Smart Data Collective

JANUARY 21, 2021

Many people don’t realize the countless benefits that big data has provided for the solar energy sector. A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. “This is where big data comes in.

Big Data 131

Big Data Cost-Benefit Data-driven Machine Learning 131

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

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 111

Analytics Digital Transformation Forecasting Risk 111

datapine

JUNE 15, 2023

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. In the past, these reports were used after a month or even a year since the data being displayed was generated.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

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 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

APRIL 25, 2024

An early case study of BPR was Ford Motor Company, which successfully implemented reengineering efforts in the 1990s to streamline its manufacturing processes and improve competitiveness. Organizations of all sizes and industries implement business process reengineering. BPR initiatives generally boost key performance indicators (KPIs).

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

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. One of the most interesting examples is with magnets.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

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 65

B2B Interactive Optimization Forecasting 65

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 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

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 54

Machine Learning Data Science Statistics Deep Learning 54

Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Here are some ways big data can help.

Big Data 78

Big Data Optimization Insurance Predictive Analytics 78

Sisense

JULY 29, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Smarten

JULY 12, 2017

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. For example, date or time driven patterns which keep repeating till the cows come home. Your internal data, from your ERP or accounting system, is one such source.

Predictive Analytics 40

Predictive Analytics Sales Manufacturing Data-driven 40

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

JUNE 16, 2022

Today, they run on data and that data is usually juggled, herded, curated, and organized by business process management (BPM) software. Over time, casual developers can use the low-code functionality to update the process and incorporate new data feeds. In the past, businesses were said to run on paper. Arrayworks.

Management 117

Management Insurance Software Digital Transformation 117

BizAcuity

MAY 7, 2019

An area of predictive analytics, demand forecasting takes into account the historical data of a business and uses that to harnesses the demand for their goods and services. It also provides reasonable data for the organization’s capital investment and expansion decisions and eases the process of suitable pricing and marketing.

Forecasting 75

Forecasting IT Sales Statistics 75

FineReport

APRIL 26, 2023

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. What is Big Data? What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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. Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario? So, let’s say you are a CXO in a retail or consumer goods barring essentials. Tune in for more.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

APRIL 22, 2024

“But we took a step back and asked, ‘What if we put in the software we think is ideal, that integrates with other systems, and then automate from beginning to end, and have reporting in real-time and predictive analytics?’” That’s how I think about being business-driven in IT: We’re integral to those conversations.”

IT 125

IT Data-driven Strategy Consulting 125

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Two weeks ago, we announced the finalists.

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46