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. Supply chain optimization (in manufacturing). Real-time operational dashboards.

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

Reltio

OCTOBER 9, 2022

By processing big data, retailers can get insights into their entire supply chain. Manufacturers can monitor and manage the performance of different components and the overall infrastructure in their facilities. The Five Vs of Big Data. Big data is usually characterized by the 5Vs – volume, velocity, variety, value and veracity.

Big data 52

Big data MDM Unstructured data Analytics 52

Reltio

JANUARY 28, 2021

The best practice to combine different types of master data goes far beyond your internal data sets. Using data to win in your market means using data that your competitors can’t access, like your business’ unique Big Data, IoT, and unstructured data in videos, chats, and audio.

MDM 98

MDM Customer Experience Government Marketing 98

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Artificial Intelligence 55

Artificial Intelligence Marketing Unstructured data Manufacturing 55

Info Source

JANUARY 30, 2025

By leveraging the strengths of both IDP and RAG, organisations can create more intelligent and efficient systems that provide accurate, context-aware responses, streamline document processing workflows, and maintain high standards of data privacy and security. #3:

Marketing 52

Marketing B2B Digital transformation Customer Experience 52

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Data science 54

Data science Big data Analytics Mining 54

eDiscovery Daily

AUGUST 7, 2018

IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. These rules and policies can cover issues such as: Security. Data access. Data storage & maintenance. Data backup and/or disposal. Accountability for employees handling data.

IT 31

IT Unstructured data Information governance Government 31

IBM Big Data Hub

FEBRUARY 14, 2024

Smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Retail 82

Retail Artificial Intelligence Unstructured data Insurance 82