IBM Big Data Hub

JULY 26, 2023

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. Anomaly detection: Some manufacturers have zero-defect goals. I previously led technical teams that helped customers with their AI implementations.

Energy and Utilities 78

Energy and Utilities Agriculture Manufacturing Risk 78

IBM Big Data Hub

DECEMBER 19, 2023

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

Unstructured data 70

Unstructured data Artificial Intelligence Sales Manufacturing 70

IBM Big Data Hub

JANUARY 16, 2024

Sourcing and manufacturing During this phase, a business gathers materials and contracts with partners, if applicable, to create a detailed plan for actual production. In cases of complex global sourcing and manufacturing needs, a business may elect to use software or databases specifically built for the task.

Marketing 81

Marketing Manufacturing Sales Customer Experience 81

IBM Big Data Hub

APRIL 20, 2023

What do a Canadian energy company, a Dutch coffee retailer and a British multinational consumer packaged goods (CPG) company have in common right now? Learn more about IBM Process Excellence The IBM Process Excellence practice leverages the leading process mining tools across the IBM ecosystem and partners.

Mining 70

Mining Financial Services Digital transformation Retail 70

IBM Big Data Hub

FEBRUARY 7, 2024

One survey found that 81% of companies were creating new roles and responsibilities to accommodate the growing number of disclosure requirements, while 99% of companies said they were somewhat or very likely to invest in more technologies and tools related to ESG reporting. trillion in economic benefits by 2030.

Artificial Intelligence 97

Artificial Intelligence Risk Agriculture Government 97

Rocket Software

JULY 17, 2019

Many global banking and financial services organizations as well as major airlines and manufacturing facilities around the world are expanding their mainframes’ capabilities using open source solutions, enabling them to reduce costs and improve efficiency while maintaining high performance.

Financial Services 40

Financial Services Big data Retail Manufacturing 40

IBM Big Data Hub

DECEMBER 1, 2023

The fast-paced business world we live in today requires smart tools to manage a business’s operations and everyday needs. 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).

Cloud 93

Cloud Energy and Utilities e-Delivery Risk 93

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

eSecurity Planet

JANUARY 21, 2021

Data privacy regulations like the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) can be hard to navigate for businesses of any size, but GRC tools can simplify and streamline compliance with all of the requirements. Contents: Top GRC tools comparison. RSA Archer.

Compliance 57

Compliance Risk Government Retail 57

Reltio

MAY 14, 2019

At Agile, all of our own business systems are cloud-based: “The cloud platform approach that we are taking as a business is critical to our own strategy but it means that we are acquiring the tools and skills that will make the journey easier for us and our clients.”.

Big data 45

Big data Government Cloud IT 45

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

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality. trillion in value.

Data science 77

Data science Manufacturing Artificial Intelligence Retail 77

IBM Big Data Hub

FEBRUARY 6, 2024

Management software All cloud computing models leverage various software tools, including a centralized management platform (CMP). A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. Cloud-native applications are deployed in containers.

Cloud 107

Cloud Digital transformation e-Delivery Compliance 107

IBM Big Data Hub

SEPTEMBER 13, 2023

The best way to capitalize on the new technology is to let users access the new capabilities right from within the tools they use to do their jobs every day. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world.

Digital transformation 96

Digital transformation Unstructured data Artificial Intelligence Cloud 96

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

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps. IBM watsonx consists of the following: IBM watsonx.ai

Cloud 89

Cloud Data science Artificial Intelligence Analytics 89

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. Artificial intelligence in business is already driving organizational changes in how companies approach data analytics and cybersecurity threat detection.

Artificial Intelligence 79

Artificial Intelligence IT Customer Experience Government 79

Reltio

JULY 23, 2019

How did you get into data management and what drove you to set up a data management company? I was trained in Oracle relational databases and GUI tools to deliver group-wide Banking Systems. If you’ve got people who already have an understanding of data and relevant skills, then you’ll accelerate your success.

MDM 40

MDM Cloud Analytics Marketing 40