IBM Big Data Hub

DECEMBER 1, 2023

ERP solutions are built to meet the needs of organizations across multiple industries including retail, consumer products, industrial, energy and utilities and government (including defense). An example is manufacturing industry software which includes MRP, or material requirements planning.

Cloud 100

Cloud Energy and Utilities e-Delivery Risk 100

IBM Big Data Hub

OCTOBER 5, 2022

In a manufacturing, distribution or retail context, this is the supply plan. The supply plan is typically anchored in capacity and can combine manufacturing capacity, supply capacity and labor capacity. Choosing the right technology to support xP&A for your strategic goals. The next step is to start layering on constraints.

Analytics 52

Analytics Sales Manufacturing Retail 52

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

JULY 11, 2023

The anchor identity of the device along with metadata about the device itself, data about its locatio , and transactions made on its own behalf is its own unit of value. That particular data is valuable internally—providing insights to optimize fuel costs, vehicle refresh, route recommendations and general driver well-being.

IoT 59

IoT Artificial Intelligence Agriculture Blockchain 59

Hunton Privacy

OCTOBER 20, 2014

The German DPAs highlighted the risks of data processing in the context of “connected cars.” According to the DPAs, automobile manufacturers, distributors, retailers, repair shops and providers of communications and telemedia services must ensure the informational self-determination of drivers. Privacy in Connected Cars.

Manufacturing 40

Manufacturing Privacy Communications Retail 40

Reltio

MAY 14, 2019

In the early days I worked in data transformation for data into banks through digital printing – amazing that I trained to do all these elaborate hand-crafted books and ended up doing cheque books! At the centre of everything I’ve done has always been data rather than pure technology because that is where the real value is.”.

Big data 45

Big data Government Cloud IT 45

eSecurity Planet

JANUARY 21, 2021

It includes multi-disciplinary risk and compliance management solutions and tools, including: IT & security risk management. LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. IT governance and security. Riskonnect.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

It includes multi-disciplinary risk and compliance management solutions and tools, including: IT & security risk management. LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. IT governance and security. Riskonnect.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Security controls are vital to help identify and protect against rapidly evolving threats. trillion in value.

Data science 83

Data science Manufacturing Artificial Intelligence Retail 83

IBM Big Data Hub

FEBRUARY 6, 2024

A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization.

Cloud 114

Cloud Digital transformation e-Delivery Compliance 114

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

Digital transformation 103

Digital transformation Unstructured data Artificial Intelligence Cloud 103

IBM Big Data Hub

SEPTEMBER 19, 2022

Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Inventory optimization (in retail). Supply chain optimization (in manufacturing).

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

IBM Big Data Hub

SEPTEMBER 20, 2023

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud 92

Cloud Data science Artificial Intelligence Analytics 92

Reltio

MAY 30, 2019

“We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”. I learned this very early on and it is even more important in today’s world of big data.

Analytics 58

Analytics Digital transformation Blockchain Big data 58

IBM Big Data Hub

AUGUST 15, 2023

It ensures the data and AI models are not only accurate, providing a higher-quality outcome, but that the data is being used in a safe and ethical way. Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing.

Artificial Intelligence 86

Artificial Intelligence IT Customer Experience Government 86

Reltio

JULY 23, 2019

“Ethical data management means you need data governance and data security by design – these initiatives are hard to retrofit. Especially in the Big Data age, you have to know where your data comes from, what it is used for, what security measures are applied to it but also what its value is to the business.

MDM 40

MDM Cloud Analytics Marketing 40