Big data, Data science and Manufacturing - Information Management Today

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

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? This post will dive deeper into the nuances of each field.

Data science

Data science Big data Analytics Mining

Great Data Scientists Don’t Just Think Outside the Box, They Redefine the Box

Bill Schmarzo - Dell EMC

FEBRUARY 28, 2018

Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B). While the use cases are limited today , the creativity at which data scientists are leveraging Big Data and existing Machine Learning and Deep Learning technologies is staggering.

Data science

Data science Artificial Intelligence Big data Cloud

The Third Modern Data Management Summit: Making Data Work!

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

Digital transformation Financial Services Data science Retail

10 everyday machine learning use cases

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing

Marketing Data science e-Discovery Artificial Intelligence

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

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data

Unstructured data Artificial Intelligence Sales Manufacturing

Getting ready for artificial general intelligence with examples

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence

Artificial Intelligence Marketing e-Delivery Manufacturing

Generative AI use cases for the enterprise

IBM Big Data Hub

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

Artificial Intelligence

Artificial Intelligence Marketing Sales Communications

How to build a successful AI strategy

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. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

Artificial Intelligence

Artificial Intelligence Customer Experience Cloud Government

How to choose the best AI platform

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science

Data science Manufacturing Artificial Intelligence Retail

Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? sales, finance, marketing, logistics, manufacturing) as well as external constituents like partners, suppliers, and don’t forget, the customers!

Artificial Intelligence

Artificial Intelligence Analytics Big data Mining

Foundational models at the edge

IBM Big Data Hub

SEPTEMBER 20, 2023

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud

Cloud Data science Artificial Intelligence Analytics

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

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

Artificial Intelligence Marketing Unstructured data Manufacturing

A brief history of data and how it helped change the world

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. That invention turned languishing data into useful data. How United by Data connects us.

IT

IT Data collection Analytics Military

Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

SEPTEMBER 13, 2021

DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021). The expanded business areas and roles include data governance, data science, data policies and processes, information and records management, and compliance and privacy. “A Retrieved March 2021.

Digital transformation

Digital transformation Blockchain IT Computer and Electronics

Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? sales, finance, marketing, logistics, manufacturing) as well as external constituents like partners, suppliers, and don’t forget, the customers!

Artificial Intelligence

Artificial Intelligence Analytics Mining Big data

7 Reasons Why Businesses Should Adopt A Modern MDM Platform

Reltio

JULY 6, 2018

A leading PC & printer manufacturer & re-seller created a single global view of accounts. Here are the seven reasons why enterprises should invest in a modern MDM Platform to drive ongoing business value. Reduced IT & Operational Cost.

MDM

MDM Insurance Retail Cloud

Information Management Today

Data science vs data analytics: Unpacking the differences

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

Trending Sources

Great Data Scientists Don’t Just Think Outside the Box, They Redefine the Box

The Third Modern Data Management Summit: Making Data Work!

10 everyday machine learning use cases

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

Getting ready for artificial general intelligence with examples

Generative AI use cases for the enterprise

How to build a successful AI strategy

How to choose the best AI platform

Artificial Intelligence: 6 Step Solution Decomposition Process

Foundational models at the edge

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

A brief history of data and how it helped change the world

Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

Artificial Intelligence: 6 Step Solution Decomposition Process

7 Reasons Why Businesses Should Adopt A Modern MDM Platform

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