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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. For example, is the problem related to declining revenue or production bottlenecks? as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

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Leaders need the technical detail

MIKE 2.0

If the thing a business does well, such as issue credit cards, sell books or make trains is challenged by a new technology then it can bring the whole enterprise down. For example, quantum computing is driving research that could yield interesting materials and sensors long before viable computing devices are even close to commercialisation.

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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Big Data Hub

To train LLMs, developers use massive amounts of data from various sources, including the internet. While LLMs are knowledgeable about a wide range of topics, they are limited solely to the data on which they were trained. SLMs are trained on 10s of billions of parameters, while LLMs are trained on 100s of billions of parameters.

Cloud 85
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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021).

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The Hacker Mind Podcast: Hacking Healthcare

ForAllSecure

For example, in March of 2016, two researchers, Mike Ahmadi and Billy Rios independently reported an astounding fourteen hundred vulnerabilities to CareFusion's Pyxis SupplyStation, an automated, networked, supply cabinet used to store and dispense supplies. Unfortunately, in the world of medical devices, such stories aren’t uncommon.

IT 52
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The Hacker Mind Podcast: Hacking Healthcare

ForAllSecure

For example, in March of 2016, two researchers, Mike Ahmadi and Billy Rios independently reported an astounding fourteen hundred vulnerabilities to CareFusion's Pyxis SupplyStation, an automated, networked, supply cabinet used to store and dispense supplies. Unfortunately, in the world of medical devices, such stories aren’t uncommon.

IT 52