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

IBM Big Data Hub

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.

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ChatGPT: A Brave New World for Cybersecurity

eSecurity Planet

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. Besides, what’s to stop other organizations – or even governments – from creating their own generative AI platform that has no guardrails? In a week, the app gained more than one million users.

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10 everyday machine learning use cases

IBM Big Data Hub

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.

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

ARMA International

Techopedia (2021) defines a CSP as “a software environment where users can collaborate as well as create and work on different types of content such as text, audio and video pieces. Customer Data Platforms (CDP). Content can be delivered via a CSP. Content Marketing Platforms (CMP).

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5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

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What’s your data democratization strategy? How to successfully democratize data

Collibra

Where is data siloed? Do you have data that’s only accessible by IT? This map should also include the types of data stored in each location and who can currently access it. Outline a data governance plan. In your perfect data democracy, who will have access to what data?

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Digital Enterprises: Built on Modern MDM

Reltio

She points out that your customer is hiding in plain sight, you need to tap into all the data to get him out. To ensure no wall between data, governance, and insight, she shares her mantras: invest intelligently, source strategically, and collaborate.

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