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. . Supply-side. Automation opportunities.

Manufacturing 96

Manufacturing Forecasting Digital Transformation Sales 96

Smart Data Collective

JUNE 19, 2019

The Relationship between Big Data and Risk Management. Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. Tips for Improving Risk Management When Handling Big Data. Risk Management Applications for Analyzing Big Data.

Risk Management 71

Risk Management Risk Management Big Data 71

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 117

Manufacturing Forecasting Technology Strategy 117

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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

Smart Data Collective

JULY 28, 2021

The supply-chain analytics market is projected to be worth over $16.8 This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation.

Data-driven 135

Data-driven Big Data Manufacturing ROI 135

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

SEPTEMBER 20, 2023

Let’s explore how IoT and Cloud Integration work hand in hand to power the future: Of course, there are a lot of risks associated with cloud computing. Endless Scalability: Cloud’s Biggest Offering To IoT IoT devices produce an enormous amount of data every second.

IoT 121

IoT Internet of Things Cost-Benefit Manufacturing 121

IBM Big Data Hub

JUNE 20, 2023

According to Warranty Week , claims totaling 46 billion USD were paid by the global automotive Original Equipment Manufacturers in 2021. But it also leads to a higher risk for new, unknown quality issues, and therefore potential warranty topics. Opportunities with data-driven digital twins Much has happened in engineering (e.g.,

Manufacturing 83

Manufacturing Data-driven Internet of Things Sales 83

CIO Business Intelligence

JUNE 6, 2024

Meanwhile, ST Engineering provides intelligent transportation solutions that leverage AI and data analytics to connect people, devices, and systems. For example, the Nvidia RAPIDS Accelerator for Apache Spark, a software that speeds up data analytics with accelerated computing, can cut cost and carbon emissions by up to 80%.

Cost-Benefit 94

Cost-Benefit IT Data-driven Digital Transformation 94

Smart Data Collective

NOVEMBER 9, 2021

The average consumer is unaware of the phenomenal benefits that big data provides. One of the biggest benefits of big data is that it can help improve driver safety. Data analytics technology is becoming more useful when it comes to stopping traffic accidents. Big Data is the Key to Addressing Driver Safety Risks.

Big Data 128

Big Data Manufacturing Risk Insurance 128

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 130

Data-driven Software Big Data Manufacturing 130

Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. Moreover, a data breach leads to financial loss for the medical facilities too.

Data-driven 133

Data-driven Big Data Manufacturing Software 133

Jet Global

MARCH 20, 2023

Providing a direct connection to key data sources, Angles Professional brings real-time access to source data, lowering implementation risk and eliminating the need for technical expertise.

Operational Reporting 52

Operational Reporting Reporting Uncertainty Analytics 52

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations.

Manufacturing 71

Manufacturing Business Objectives Optimization Risk Management 71

CIO Business Intelligence

NOVEMBER 20, 2023

“If you look at the advances we have seen in AI, with the large amounts of data that large language models can process, we can safely hand off various decisions to machines,” says Prasad Ramakrishnan, CIO & SVP of IT at Freshworks. Here’s a look at a few areas where it’s gaining influence.

Sales 130

Sales Cost-Benefit Manufacturing Forecasting 130

Smart Data Collective

MARCH 19, 2023

These orders are sent to the actual Manufacturer by dropshipper. The Manufacturer can execute the packing and delivery and minimize the list of dropshipper’s tasks. Predictive analytics can help you choose the right manufacturer, wholesaler and sales partners. Find a Manufacturer/Wholesaler/ Seller (Supplier).

Predictive Analytics 124

Predictive Analytics Analytics Manufacturing Advertising 124

Smart Data Collective

APRIL 24, 2019

Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. Who’s Using Analytics in Manufacturing? Monitoring Assets for Performance.

Analytics 99

Analytics Manufacturing Cost-Benefit Internet of Things 99

CIO Business Intelligence

JUNE 25, 2024

But there are also risks, including potential cost overruns, lack of commitment and availability of the consultant, communications issues, contract breaches, and lack of needed skills. When reading/writing the contract, you must be specific,” says Charles Scharnagle, CIO at manufacturer Revere Copper Products.

Consulting 121

Consulting IT Metrics Key Performance Indicator 121

Smart Data Collective

MARCH 27, 2020

From raw materials to manufacturing to distribution, each step requires the most secure transition possible. Sometimes, though, the supply chain can come with various risks that affect these stages. For example, manufacturing supervisors might not know from where their suppliers are getting their raw materials.

Manufacturing 97

Manufacturing Optimization Big Data Risk 97

Smart Data Collective

SEPTEMBER 13, 2019

Once a model is established, the operation can use real-time data to predict when the machine will see a breakdown. With the ability to perceive a future event, the manufacturing line can appropriately plan a response. And with software tools, the data from the assets can be fed directly into the CMMS or used to automate work orders.

Big Data 87

Big Data Manufacturing Cost-Benefit Optimization 87

CIO Business Intelligence

APRIL 11, 2023

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. Does this create any pressures on you and your IT organization to complete projects more quickly and with less risk involved?

Modeling 98

Modeling IT Strategy Uncertainty 98

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 102

Internet of Things Strategy Data Strategy Risk 102

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

CIO Business Intelligence

OCTOBER 1, 2022

This exercise will surface high-risk areas of the supply chain such as the auto industry’s overdependence on a few semiconductor factories in Taiwan, or the global pharmaceutical sectors’ reliance on Chinese supplies for foundational life science ingredients.

Cost-Benefit 109

Cost-Benefit Manufacturing Forecasting Metrics 109

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

Smart Data Collective

SEPTEMBER 15, 2021

This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.

IoT 108

IoT Business Objectives Manufacturing Software 108

IBM Big Data Hub

JULY 10, 2023

These thresholds can be based on industry standards, historical data or manufacturer recommendations. Proactively detecting and addressing potential mechanical failures significantly reduces the risk of accidents and injuries in the workplace. appeared first on IBM Blog.

Optimization 54

Optimization IT Measurement Manufacturing 54

erwin

AUGUST 13, 2020

managing risk vs ROI and emerging countries)? data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? M&A, new markets, products and businesses).

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

IBM Big Data Hub

FEBRUARY 14, 2024

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Smart Data Collective

AUGUST 19, 2023

Data analytics technology has significantly improved the state of finance. The financial analytics market size was worth $7.99 We have talked about some of the many ways that data analytics technology is changing the state of finance. Risk is an ever-present companion in the world of finance.

Risk 82

Risk Data Analytics Analytics Finance 82

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

JULY 29, 2024

Subsequent leadership roles built out her experience with data, analytics, AI, and machine learning while handing Brown direct accountability for technology-driven business results — a precursor to full P&L responsibility.

IT 128

IT Strategy Machine Learning Technology 128

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 136

Analytics Slice and Dice Metrics Sales 136