Data, Manufacturing and Unstructured data - Information Management Today

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science

Data science Analytics Unstructured data Artificial Intelligence

5 misconceptions about cloud data warehouses

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Cloud

Cloud Analytics Unstructured data Compliance

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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Trending Sources

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

MAY 19, 2023

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Cloud

Cloud Unstructured data Customer Experience Manufacturing

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

Unstructured data

Unstructured data Artificial Intelligence Sales Manufacturing

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Data science

Data science Big data Analytics Mining

The most valuable AI use cases for business

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Artificial Intelligence

Artificial Intelligence Retail Unstructured data Insurance

Spigraph, Everteam & ImageFast Provide Critical Information Governance Solutions to European Market

Everteam

APRIL 2, 2019

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

Information governance

Information governance Marketing Government Digital transformation

Preparing for Litigation Before it Happens: eDiscovery Best Practices, Part Two

eDiscovery Daily

AUGUST 7, 2018

Craig Bayer, the principal of legal document management firm Optiable , put it best when he said to me that “A DMS is not an enterprise data organization solution.”. 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. Data access. Manufacturing.

IT Unstructured data Information governance Government

Real-time analytics on IoT data

IBM Big Data Hub

SEPTEMBER 19, 2022

IoT systems access millions of devices that generate large amounts of streaming data. For some equipment, a single event may prove critical to understanding and responding to the health of the machine in real time, increasing the importance of accurate, reliable data. Supply chain optimization (in manufacturing).

Analytics

Analytics IoT Unstructured data Manufacturing

Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

SEPTEMBER 13, 2023

For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world.

Digital transformation

Digital transformation Unstructured data Artificial Intelligence Cloud

How foundation models and data stores unlock the business potential of generative AI

IBM Big Data Hub

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. An open-source model, Google created BERT in 2018.

Artificial Intelligence

Artificial Intelligence Marketing Unstructured data Manufacturing

How to Improve Your Big Data Management

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

Big data MDM Unstructured data Analytics

Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

SEPTEMBER 7, 2023

This is why we at IBM continue to add powerful new capabilities to IBM watsonx , our data and AI platform for business. And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business.

Artificial Intelligence

Artificial Intelligence Unstructured data Risk Compliance

8 Best Practices for Getting the Most From Master Data Management

Reltio

JANUARY 28, 2021

Data is your business’s most important asset in a digitized world. Real-time data-driven decisions give your business the agility to adjust to market fluctuations, consumer preferences, and access to capital. It is equally important that your applications are powered in real-time with clean and consistent data.

MDM

MDM Customer Experience Marketing Government

Data science vs data analytics: Unpacking the differences

5 misconceptions about cloud data warehouses

Webinars

Trending Sources

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

Webinars

Anomaly detection in machine learning: Finding outliers for optimization of business functions

Data science vs. machine learning: What’s the difference?

The most valuable AI use cases for business

Spigraph, Everteam & ImageFast Provide Critical Information Governance Solutions to European Market

Preparing for Litigation Before it Happens: eDiscovery Best Practices, Part Two

Real-time analytics on IoT data

Companies need help making the dream of digital transformation a reality

How foundation models and data stores unlock the business potential of generative AI

How to Improve Your Big Data Management

Building AI for business: IBM’s Granite foundation models

8 Best Practices for Getting the Most From Master Data Management

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