Data science, Marketing and Mining - 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

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Mining

Mining Marketing Artificial Intelligence Customer Experience

ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence

Info Source

OCTOBER 6, 2020

The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs.

Analytics

Analytics Digital transformation Mining Data science

Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

NOVEMBER 30, 2022

So, it’s crucial for companies that want to add specific AI capabilities to their applications or workflows to do so without expanding their technology stack, hiring more data science talent, or investing in expensive supercomputing resources. Users can then mine the data using simple keyword searches to find the information they need.

Libraries

Libraries Data science Cloud Mining

How to Take Your Business to The Next Level with Data Intelligence

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society.

Analytics

Analytics Blockchain Artificial Intelligence Big data

Technology sets the pace of change in content delivery and management

CILIP

OCTOBER 8, 2019

2019 brings together content delivery and technology, looking at how areas such as AI, machine learning and data science are coming together in the content world. then over about three or four years it became really hot with people entering the market.? s technologies have the power to be just as transformative.

e-Delivery

e-Delivery Libraries Data science Artificial Intelligence

Observations about Legaltech 2020 from Attendees: eDiscovery Trends

eDiscovery Daily

FEBRUARY 9, 2020

— Shawn Gaines, VP of Marketing for Relativity. — Lilith Bat-Leah, CEDS, Director, Data Science, Fronteo. We’ll publish the rest of the observations tomorrow (including mine)! — Mike Quartararo, President, Association of Certified E-Discovery Specialists. So, what do you think?

e-Discovery

e-Discovery Education Artificial Intelligence Data science

#InfoGov Links Of The Week 02-17-2017

Information is Currency

FEBRUARY 17, 2017

Risk of personal data loss. The Conflict between Data Science and Cybersecurity. Cybersecurity is in direct conflict with the basis tenants of data analysis, especially big data analysis, predictive analytics and data mining. Poor User Experience. Restrict core device functionality.

MDM

MDM Big data Information governance Analytics

Announcing OpenText AI & Analytics Cloud Editions (CE) 20.2

OpenText Information Management

APRIL 8, 2020

Until recently, the word “disruptive” was used to describe competitors, technologies and business models that could radically change the market that a company competed in. appeared first on OpenText Blogs.

Analytics

Analytics Cloud Marketing Mining

Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. Such organizations operate in industries where: The market is too fragmented for any one organization to provide a complete customer solution and experience. Follow the Customer Summary.

Artificial Intelligence

Artificial Intelligence Analytics Customer Experience Big data

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

ARMA International

SEPTEMBER 13, 2021

Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently to customers. Content Marketing Platforms (CMP). Closely related to a CSP is a CMP used by an organization’s marketing team. Content Services (CS). This allows a faster, more efficient solution” (CDP 2021).

Digital transformation

Digital transformation Blockchain IT Computer and Electronics

Our Data Governance Is Broken. Let’s Reinvent It.

John Battelle's Searchblog

JANUARY 25, 2019

If I am expert at anything at all, it’s asking questions of technology, and of the media and marketing platforms created by technology. First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. And second… Governance.

Government

Government IT Marketing ROT

Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. Such organizations operate in industries where: The market is too fragmented for any one organization to provide a complete customer solution and experience. Follow the Customer Summary.

Analytics

Analytics Artificial Intelligence Customer Experience Big data

Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence

Artificial Intelligence Analytics Big data Mining

Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics

Analytics Data science Cloud Metadata

Artificial Intelligence: 6 Step Solution Decomposition Process

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence

Artificial Intelligence Analytics Mining Big data

Information Management Today

Data science vs data analytics: Unpacking the differences

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

Trending Sources

Leveraging user-generated social media content with text-mining examples

ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence

Embeddable AI saves time building powerful AI applications

How to Take Your Business to The Next Level with Data Intelligence

Technology sets the pace of change in content delivery and management

Observations about Legaltech 2020 from Attendees: eDiscovery Trends

#InfoGov Links Of The Week 02-17-2017

Announcing OpenText AI & Analytics Cloud Editions (CE) 20.2

Don’t Follow the Money; Follow the Customer!

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

Our Data Governance Is Broken. Let’s Reinvent It.

Don’t Follow the Money; Follow the Customer!

Artificial Intelligence: 6 Step Solution Decomposition Process

Exploring the AI and data capabilities of watsonx

Artificial Intelligence: 6 Step Solution Decomposition Process

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