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Artificial intelligence vs. Data Science: top 5 differences | by Rijul Singh Malik | Aug, 2022 – DataDrivenInvestor

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A blog about the top 5 differences between AI and data science.

Photo by Possessed Photography on Unsplash

1. What is the difference between AI and Data science?

Artificial intelligence (AI) is an umbrella term that encompasses all efforts to create machines that can perform tasks normally requiring human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. Data science is the scientific approach to extracting knowledge from data in various forms, including structured and unstructured data, for example, text and images, in order to solve business problems. Data science is a relatively new term that refers to both the process and the people involved in analyzing data and developing new algorithms to extract insights from the data. Data science is a more general term, which subsumes a number of more focused disciplines, including machine learning, statistics, data mining and others.

The field of artificial intelligence (AI) is still in its infancy. There are many different types of AI, and each has its own sub-field of research. While some types of AI are more mature than others, AI is still evolving toward greater autonomy and more human-like intelligence. Data science is an umbrella term used to describe a number of disciplines, often used in the same context as artificial intelligence. Data science is the application of statistical analysis, machine learning, and other data-oriented concepts to solve a problem. It is not a single field, but rather a combination of fields. Data science, at its core, is about problem-solving and the construction of models for your data.

2. What is AI?

Artificial Intelligence is the general term for software performing tasks normally requiring human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence is a field of computer science that studies the theory behind intelligent behavior and, in particular, the ability to solve problems automatically. Artificial Intelligence is also referred to as AI and can be found in all forms of computers. One of the greatest applications of AI is in machine learning, which is a subset of AI. Machine learning and artificial intelligence are often used interchangeably, but they are different in that machine learning is a technique for programming a computer to learn how to do a task or make a decision on its own. Machine learning is related to but different from the broader field of Artificial intelligence. Artificial intelligence is a broad and loosely defined field that studies agents that perceive their environment and take actions that maximize their chances of success. This definition of artificial intelligence is very different from the one that is most often used in the mainstream media.

Artificial Intelligence (AI) is a booming technology in the world today. We see it in televisions, cars, and even our phones. But what is AI? Perhaps it’s better to ask what it is not. AI is not a science fiction movie villain that is out to destroy our world. AI is not a robot with a gun that is on a mission to take over. AI is not just a buzzword either. It’s much more than that. AI is a technology that is only as good as the data that feeds it.

3. What is Data Science?

Data science is a hot topic in the business world, but what exactly is it? Data science is a combination of statistics, computer science, and mathematics. Data scientists play a crucial role in a lot of business decisions, especially for big data and analytics. But what about artificial intelligence (AI)? Are the two terms interchangeable? What are the top 5 differences between AI and data science?

What is Data Science? Data science is the application of data mining, machine learning, artificial intelligence, statistics and other information-related disciplines in order to extract knowledge from data and turn it into useful information. Data science is not one specific field of study, but a set of skills that are used in many different disciplines. Data scientists are behind almost every big data success story. The data scientist of the future will be able to ask the right questions and develop the most important data-based products and services. Data science is evolving, but currently it is an exciting mix of statistics, machine learning, artificial intelligence, applied mathematics, programming, visualization, and communication.

Data science is a relatively new field that deals with the analysis and manipulation of large datasets. The main objective of data science is to make sense of a huge amount of data and to extract useful information from it. With the rise of the Internet, the number of data points available has increased exponentially. According to Forbes, a single human’s lifetime of social media data is equal to 5.2 billion books. As a result, data science has become a relevant field in today’s world, allowing businesses to collect and analyze vast amounts of information.

4. What do data science and AI have in common?

Artificial Intelligence (AI) and data science are two of the hottest technologies around today, but the two are often confused with one another. Data science and artificial intelligence are not the same thing. Data science is a collection of techniques for extracting knowledge from data, mainly for business and research purposes. Artificial intelligence is the ability for computers to learn to perform tasks that usually require human intelligence.

Artificial intelligence (AI) and data science are two popular fields, but what do they have in common? In reality, these terms have very little to do with each other and can be used interchangeably. That said, both fields are concerned with the way we use data to make better decisions. They both use various techniques to analyze sets of data to see if any correlations can be found between them. Data scientists use the findings from their analyses to decide which fields they want to explore further. This is where the two fields diverge. Artificial intelligence is the field of study dedicated to making computers do what they’re programmed to do — think. Data science is the field of study dedicated to making humans do what they’re programmed to do better.

5. How do AI and data science differ?

In the last few years, AI has been all the buzz in the media. And while it can seem like this technology has been around forever, in actuality, it’s only been around for a relatively short period of time. The first AI program was designed by Arthur Samuel in 1959, and the term AI was coined in the 1960s. And while the idea of AI has been around for decades, the technology behind it is still relatively new. A lot of people don’t know the difference between AI and data science, and even fewer know the top differences between the two. In this blog, I’m going to go over the top five differences.

In today’s world, artificial intelligence (AI) is all the buzz. But what is artificial intelligence? Does it have something to do with data science? Artificial intelligence is the study of making computer systems that mimic the way that humans think and learn, while data science is the application of statistical models, data sets, and statistical software to help solve problems and make predictions. Artificial intelligence is generally used to make predictions or to help computers learn, while data science is used to solve problems, help businesses, and make predictions.

Photo by Alexas_Fotos on Unsplash

Conclusion:

Is it AI or data science? Both are helping businesses to make better decisions.

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New photos reveal more details about Google’s Pixel 9 Pro Fold

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Google’s secret new line of Pixel 9 phones isn’t that big of a secret anymore. Taiwan’s National Communications Commission (NCC) released new photos of the phones including the Pixel 9 Pro Fold from almost every conceivable angle.

Android Authority found the photos in the NCC archives and uploaded galleries of each of the four phones including the Pixel 9, 9 Pro, 9 Pro XL and 9 Pro Fold. They reveal some interesting details about the new Pixel phones.

The charging rates will be a little faster than the last generation of Pixel phones: Taiwanese authorities measured 24.12W for the base model, 25.20W for the Pro and 32.67W for the 9 Pro XL. The Pixel 9 Pro Fold, however, was the slowest of all of them at 20.25W. These numbers don’t often match up perfectly with the advertised ratings, so expect Google to be promoting higher numbers at its event.

Speaking of chargers, it looks like Google needed a bigger charger to power its new phones. Photos included in the NCC leak show each phone will come with a wall charger that’s around 45W depending on which model you purchase. The charger’s plug moved from the middle to the top of the brick.

The Google Pixel 9 Pro Fold can fully unfold.
NCC/Android Authority

The latest photo dump also shows the 9 Pro Fold unfolded for the first time. Google has moved the selfie camera to the inside screen for a wider field of view. The 9 Pro Fold also has a slimmer top and bottom, a reduced fold crease on the display and a full 180 degree unfolding angle to make a screen that’s just over 250mm or just under 10 inches.

These photos are the latest in a very long list of leaks of Google Pixel 9 photos. The last Pixel 9 leak came down yesterday showing two prototype models of the base and XL models. Google might look into buying a new combination lock for the high school locker where they apparently keep all their unreleased gear.

 

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Apple Wallet now supports Canada’s Presto card, with Express Transit

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Apple Wallet now supports the Presto transit card used in Ontario, Canada. The card can be used for travel in Toronto, Hamilton, and Ottawa.

The digital version of the card includes the Express Transit Pass feature, meaning that you can tap in and out without having to authenticate …

 

Ontario’s Presto card

The Presto contactless smart card system was first trialled back in 2007, and started the full rollout in 2009. The card can be used across 11 different transit systems in the areas covered.

Apple Wallet support was first promised many years ago, but things went quiet until a “coming soon” announcement back in May of this year.

Although the contactless terminals allow the use of credit and debit cards for regular fares, a Presto card is needed for monthly passes and discounted travel.

Apple Wallet support now available

The company made the announcement today.

Tap to ride with PRESTO on iPhone and Apple Watch.

Traveling around town just got easy with your PRESTO in Apple Wallet. With Express Mode, you don’t need to wake or unlock your iPhone or Apple Watch or open any apps to use PRESTO in Apple Wallet. Just hold your device near the reader to pay and go.

Ride, even when your iPhone needs a charge

If your iPhone needs a charge, PRESTO Card in Apple Wallet will still work. Power Reserve provides up to five hours of support, so you can still ride.

Reload on the go. 

With your PRESTO card on your iPhone and Apple Watch, you can easily load funds, right from Apple Wallet or PRESTO App. No need to visit a customer service outlet.

Extra security. Built right in 

PRESTO in Apple Wallet can take full advantage of the privacy and security features built into iPhone and Apple Watch. Your PRESTO card is stored on the device, which means Apple does not see when you use it—helping keep your data private and secure.

If you lose your iPhone or Apple Watch, you can use the Find My app to lock and help locate the device and suspend your PRESTO card or remotely erase the device and its cards.

Mobile Syrup reports that you can choose between adding your existing card to your Wallet, or creating a new one.

There are two ways to add a Presto card to Apple Wallet. You can either buy a new card or move your old one over using the Presto app.

That being said, for simplicity’s sake, unless you have a discounted Presto agreement like a student or senior plan, I think most riders will be happy just making a new card in Apple Wallet and loading funds from that app.

As with any digital card or pass, you can use either your iPhone or Apple Watch, but because each generates a unique virtual card number, you need to use the same device at both ends of your journey.

Express Transit feature

To minimize delays, Presto offers Express Transit support. This means that you don’t need to authenticate using Face ID or Touch ID on your iPhone, and you don’t need to double-tap the side button on your Apple Watch. Simply hold your device close to the pad and you’re good (a number of clues are used to detect fraudulent use).

Express Transit also has the advantage that it continues to work in Low Power mode, so you’ll still be able to complete your journey even if your phone or Watch is almost dead.

Image: Presto

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The OnePlus Pad 2 Wants to Be the iPad Air of Android Tablets

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The original OnePlus Pad was a decent all-around Android tablet, but it was not amazing in any one area. Now, OnePlus is back with a new tablet device that packs more power, has a better screen, more speakers, and a higher starting price. OnePlus offers an Android tablet alternative that costs less than the latest iPad Airs, though it seems like it’s hewing very close to the rendition from 2023. 

The OnePlus Pad 2 is a one-size-fits-all 12.1-inch 3K tablet. At $550 for 12 GB of RAM and 256 GB of storage, it’s $70 more than the first OnePlus Pad, though it starts with more memory and twice as much internal storage as the first go around’s paltry 128 GB. It’s bigger than the 11.6 LCD on last year’s Pad, though now it’s beefed its resolution to 3K (3000 x 2120) with a stated 600 nits typical and 900 nits peak brightness. It has a variable refresh rate between 30 and 144 Hz, though it’s still an LCD screen, the same as the 2023 OnePlus Pad.

Just like last year’s version, the new Pad supports Dolby Atmos, but it boasts a six-stereo speaker configuration on either side of the device. It may not be as specifically sound-tailored as the Lenovo Tab Plus, but what’s promised is a solid middle ground. 

Last year’s tablet used MediaTek Dimensity 9000 CPU, which was good enough for most applications but not exactly top of its class. The Pad 2 is now powered with the Qualcomm Snapdragon 8 Gen 3 mobile chip. Gizmodo has already experienced some of the chip’s capabilities in Samsung’s latest foldables, and already it’s very promising. We haven’t yet had the chance to compare a Snapdragon 8 Gen 3 tablet to Apple’s latest iPad Air with M2, though on the whole, M2 usually performs better than Qualcomm’s mobile chips in bare benchmark tests. How much that matters depends on what programs you expect to use on your tablet. 

Image: OnePlus

Every device maker thinks they need AI to compete, and OnePlus isn’t an outlier here. There are promised “AI Toolbox” features like AI text-to-speech and recording summaries. The AI Eraser 2.0 will also work like Google’s Magic Eraser to remove unwanted photo elements. 

There’s a new $99 OnePlus Stylo 2 and a $150 Oneplus Smart Keyboard to accompany the new tablet. Despite the size and price difference, there will be many similarities between last year’s and the 2024 model. The Pad 2 has the same 9,510 mAh battery as last year’s, plus the 67W “SUPERVOOC” fast charging. It promises 43 days of standby time, though in our experience, the first Pad’s lifespan and promised “one-month standby life” was far more modest in practice, lasting most of the day before needing a recharge. 

With a bigger screen, the upcoming Pad 2 is slightly heavier than last year’s rendition. It weighs about 1.3 pounds, so it’s exactly between the 11- and 13-inch iPad Airs or slightly more than the base 11-inch Galaxy Tab S9 (and far less than the humongous Tab S9 Ultra). It will be relatively thin at 6.49 mm, but it’s not beating the iPad Air’s 6.1 mm or the iPad Pro 13-inch’s holy grail 5.1 mm.

The first OnePlus Pad didn’t exactly break new ground in any one category, though it did show Android tablets had legs. We’ve seen attempts from Goole and its Pixel Tablet, though that, too, wasn’t the pioneer of Android tablets. A better chip and more speakers do seem promising, though, in its effort to be everything to everyone, we’ll need to see if it manages to stand out in any area.

The OnePlus Pad 2 is now available for preorder. It should be available on the OnePlus website starting July 30 and on Amazon starting August.

 

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