IBM Big Data Hub

MAY 31, 2023

This is especially true in manufacturing and industrial engineering. which involves the integration of advanced digital technologies and IoT into manufacturing processes and connected devices that transmit and receive instructions and data. Connected products and services across a manufacturing enterprise.

Manufacturing 89

Manufacturing Customer Experience Cloud Analytics 89

IBM Big Data Hub

APRIL 22, 2024

It follows security standards and guidelines, such as IBM Cloud for Financial Services® , SOC Type 2, that ensures the highest levels of security and compliance requirements. Secure and compliant: Deployable architectures on IBM Cloud® are secure and compliant by default for hosting your regulated workloads in the cloud.

Cloud 62

Cloud Financial Services Compliance Systems administration 62

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. This may involve conducting audits of suppliers, implementing codes of conduct and using certification schemes to verify compliance.

Blockchain 82

Blockchain Analytics Artificial Intelligence Marketing 82

erwin

AUGUST 13, 2020

Today, enterprises are trying to grow and innovate – while cutting costs and managing compliance – in the midst of a global pandemic. Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)?

Artificial Intelligence 143

Artificial Intelligence Healthcare Compliance Financial Services 143

IBM Big Data Hub

OCTOBER 24, 2023

Proven FinOps success: three case studies The below three case studies showcase the success of IBM Consulting’s FinOps methods: An American manufacturer needed optimization for multi-cloud environment and DevOps activities. They also regained control of cloud activities industry compliance regulations.

Cloud 78

Cloud Manufacturing Compliance Marketing 78

IBM Big Data Hub

JANUARY 30, 2024

Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

Analytics 72

Analytics Cloud Manufacturing Retail 72

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 Blockchain Analytics Artificial Intelligence 71

IBM Big Data Hub

FEBRUARY 13, 2024

Outside consumer demand for traceability, new regulations may make it imperative for some businesses: the FDA’s Food Safety Modernization Act (FSMA) Rule 204 requires food companies that manufacture, process, pack or hold foods on the Food Traceability List (FTL) to use traceability systems and follow new record keeping requirements.

Blockchain 79

Blockchain Artificial Intelligence Risk Manufacturing 79

IBM Big Data Hub

DECEMBER 12, 2023

Emissions can be intentional, such as exhaust gases from a power plant, or they can be unintentional, like pollutants from manufacturing. Besides environmental responsibility, emissions management boosts the bottom line through operational efficiency, regulatory compliance, safer working environments and an enhanced corporate image.

Compliance 70

Compliance Digital transformation Risk Manufacturing 70

IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more.

Cloud 74

Cloud Financial Services Risk Business Services 74

IBM Big Data Hub

MAY 17, 2024

By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts. It can also facilitate compliance with local regulations, streamlining the logistics of cross-border transactions.  The applications of AI in commerce are vast and varied.

B2C 65

B2C B2B Customer Experience e-Delivery 65

IBM Big Data Hub

MARCH 29, 2024

At Conagra, a leading food manufacturer, prioritizing employee growth and career mobility became paramount, especially amidst the recent pandemic. Finding the right recipe for career growth can challenge global clients. Our solution supports you in attracting and quickly onboarding the right talent for the right roles.

Manufacturing 43

Manufacturing Libraries Analytics Sales 43

IBM Big Data Hub

JULY 7, 2023

Thirty percent of those incidents occurred in manufacturing organizations. Secure databases in the physical data center, big data platforms and the cloud. Don’t throw your private data away with your machines. Sanitize computers for data erasure and destroy all records.

Security 40

Security Data breaches Data Privacy Compliance 40

DLA Piper Privacy Matters

JUNE 4, 2021

The Chinese cybersecurity authorities have published new draft rules clarifying data and cyber compliance obligations for the automobile industry, including a push towards most personal information and important data being kept in China.

Big data 66

Big data Compliance Personal data Insurance 66

IBM Big Data Hub

JANUARY 12, 2024

Choosing a licensed or unlicensed radio spectrum depends on coverage requirements, interference conditions and regulatory compliances. In such a scenario, the manufacturing plant could be configured as a remote IBM Cloud Satellite location running the required workloads and cloud-related components on-premises.

Cloud 59

Cloud Communications Manufacturing Access 59

IBM Big Data Hub

DECEMBER 8, 2023

A close-up of the SDV architecture The infrastructure layer This layer includes not only the vehicle but also the telco equipment, roadside units, smart city systems and similar components, as well as various backend systems of the original equipment manufacturers (OEMs).

Computer and Electronics 68

Computer and Electronics Manufacturing Cloud Customer Experience 68

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

Artificial Intelligence 83

Artificial Intelligence Retail Unstructured data Insurance 83

IBM Big Data Hub

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Manufacturing : Quality control and inspection, operator / lab tech training conversational search through SOP’s, content creation and more. Fairness : AI models should treat all groups equitably.

Marketing 59

Marketing Manufacturing Analytics Compliance 59

eSecurity Planet

JANUARY 21, 2021

Governance, risk, and compliance (GRC) software helps businesses manage all of the necessary documentation and processes for ensuring maximum productivity and preparedness. It includes multi-disciplinary risk and compliance management solutions and tools, including: IT & security risk management. Compliance management.

Compliance 67

Compliance Risk Government Retail 67

Reltio

MARCH 11, 2019

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

IBM Big Data Hub

FEBRUARY 29, 2024

They’re using that renewable energy for a wide variety of things, including: Powering operations : In manufacturing, wind energy and solar power are fueling warehouses and factories. These offer cost savings for the purchaser and stability for the provider.

Energy and Utilities 96

Energy and Utilities Artificial Intelligence IoT Agriculture 96

IBM Big Data Hub

JUNE 20, 2023

Improved compliance: Comply with laws surrounding the management and operation of assets, regardless of where they are located. Data management and storage requirements vary widely from country to country and are constantly evolving. These factors can include available resources (e.g.,

Analytics 71

Analytics IoT Compliance Manufacturing 71

IBM Big Data Hub

AUGUST 8, 2023

This ambitious bill, largely managed by the US Department of Transportation, will distribute USD 1 trillion to fund construction, manufacturing initiatives and public works. By integrating EHS monitoring into their asset maintenance programs, they can self-police, monitoring their emissions and ensuring they stay in compliance.

Artificial Intelligence 65

Artificial Intelligence IoT Compliance Communications 65

IBM Big Data Hub

AUGUST 8, 2023

We are also working together to drive more sustainable, resilient operations through IBM Maximo Application Suite the top-rated intelligent enterprise asset management software combined with Microsoft Azure, now certified for Microsoft Cloud for Manufacturing.

Cloud 76

Cloud Sales Digital transformation Manufacturing 76

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. However, over the past decade, a vast array of compliance and security standards, such as SOC2, PCI, HIPAA, and GDPR, have been introduced, and met by cloud providers.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

Hunton Privacy

JULY 11, 2017

The Cyberspace Administration of China will work together with relevant government agencies to formulate materials for the identification of “key information infrastructure” in their respective industry sectors and fields.

Energy and Utilities 45

Energy and Utilities Security Cybersecurity Manufacturing 45

IBM Big Data Hub

APRIL 20, 2023

Additionally, compliance requirements around sustainable procurement need to be addressed based on supplier’s sustainability posture around logistics and distribution. An efficient sustainable supply chain process with optimized CO2 footprint is an enterprise requirement as well as a societal need.

Mining 66

Mining Financial Services Digital transformation Retail 66

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

FEBRUARY 7, 2024

But compliance with the broad array of mandatory reporting rules around the globe can be confusing and complicated. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data.

Artificial Intelligence 90

Artificial Intelligence Risk Agriculture Government 90

IBM Big Data Hub

FEBRUARY 13, 2024

Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. Code generation : Software developers and programmers use generative AI to write code.

Artificial Intelligence 118

Artificial Intelligence Marketing Sales Communications 118

IBM Big Data Hub

DECEMBER 1, 2023

An example is manufacturing industry software which includes MRP, or material requirements planning. Areas like security and compliance reporting, application management, and service delivery to lines-of-business become more predictable from a pricing, resource and workload perspective.

Cloud 86

Cloud Energy and Utilities e-Delivery Risk 86

Reltio

MAY 14, 2019

What trends or changes do you predict to the data management arena in the next few years? The big data era is maturing and the technologies that first appeared with big data will be enveloped into the cloud technologies.

Big data 45

Big data Government Cloud IT 45

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

Artificial Intelligence 72

Artificial Intelligence Customer Experience Cloud Government 72

IBM Big Data Hub

AUGUST 11, 2023

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

Manufacturing 68

Manufacturing Compliance Healthcare Analytics 68

Thales Cloud Protection & Licensing

JULY 24, 2023

Financial Services Financial organizations operate in a highly regulated environment and undergo frequent audits to prove compliance. As part of their operations, banks and financial institutions require remote, latency-sensitive connectivity for trading and real-time transactions and big data analytics.

Business Services 62

Business Services Encryption Manufacturing Security 62

IBM Big Data Hub

JULY 11, 2023

It is also valuable externally: to fuel companies, vehicle manufacturers, retailers and other brands wanting to engage in connected driving experiences for the fleet. It may also decide to publish data services in the form of APIs to facilitate third party developer solutions leveraging the EoT data.

IoT 51

IoT Artificial Intelligence Agriculture Blockchain 51

Reltio

APRIL 23, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40