Analytics Manufacturing Security Unstructured data 
IBM Big Data Hub
MAY 19, 2023
According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time.
IBM Big Data Hub
FEBRUARY 2, 2023
In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
IBM Big Data Hub
JULY 6, 2023
It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.
IBM Big Data Hub
SEPTEMBER 19, 2022
Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Supply chain optimization (in manufacturing).
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.
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.
Expert insights. Personalized for you.
74 
Let's personalize your content