Artificial intelligence vs. Data Science: top 5 differences | by Rijul Singh Malik | Aug, 2022 - DataDrivenInvestor | Canada News Media
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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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Ottawa orders TikTok’s Canadian arm to be dissolved

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The federal government is ordering the dissolution of TikTok’s Canadian business after a national security review of the Chinese company behind the social media platform, but stopped short of ordering people to stay off the app.

Industry Minister François-Philippe Champagne announced the government’s “wind up” demand Wednesday, saying it is meant to address “risks” related to ByteDance Ltd.’s establishment of TikTok Technology Canada Inc.

“The decision was based on the information and evidence collected over the course of the review and on the advice of Canada’s security and intelligence community and other government partners,” he said in a statement.

The announcement added that the government is not blocking Canadians’ access to the TikTok application or their ability to create content.

However, it urged people to “adopt good cybersecurity practices and assess the possible risks of using social media platforms and applications, including how their information is likely to be protected, managed, used and shared by foreign actors, as well as to be aware of which country’s laws apply.”

Champagne’s office did not immediately respond to a request for comment seeking details about what evidence led to the government’s dissolution demand, how long ByteDance has to comply and why the app is not being banned.

A TikTok spokesperson said in a statement that the shutdown of its Canadian offices will mean the loss of hundreds of well-paying local jobs.

“We will challenge this order in court,” the spokesperson said.

“The TikTok platform will remain available for creators to find an audience, explore new interests and for businesses to thrive.”

The federal Liberals ordered a national security review of TikTok in September 2023, but it was not public knowledge until The Canadian Press reported in March that it was investigating the company.

At the time, it said the review was based on the expansion of a business, which it said constituted the establishment of a new Canadian entity. It declined to provide any further details about what expansion it was reviewing.

A government database showed a notification of new business from TikTok in June 2023. It said Network Sense Ventures Ltd. in Toronto and Vancouver would engage in “marketing, advertising, and content/creator development activities in relation to the use of the TikTok app in Canada.”

Even before the review, ByteDance and TikTok were lightning rod for privacy and safety concerns because Chinese national security laws compel organizations in the country to assist with intelligence gathering.

Such concerns led the U.S. House of Representatives to pass a bill in March designed to ban TikTok unless its China-based owner sells its stake in the business.

Champagne’s office has maintained Canada’s review was not related to the U.S. bill, which has yet to pass.

Canada’s review was carried out through the Investment Canada Act, which allows the government to investigate any foreign investment with potential to might harm national security.

While cabinet can make investors sell parts of the business or shares, Champagne has said the act doesn’t allow him to disclose details of the review.

Wednesday’s dissolution order was made in accordance with the act.

The federal government banned TikTok from its mobile devices in February 2023 following the launch of an investigation into the company by federal and provincial privacy commissioners.

— With files from Anja Karadeglija in Ottawa

This report by The Canadian Press was first published Nov. 6, 2024.

The Canadian Press. All rights reserved.

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Here is how to prepare your online accounts for when you die

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LONDON (AP) — Most people have accumulated a pile of data — selfies, emails, videos and more — on their social media and digital accounts over their lifetimes. What happens to it when we die?

It’s wise to draft a will spelling out who inherits your physical assets after you’re gone, but don’t forget to take care of your digital estate too. Friends and family might treasure files and posts you’ve left behind, but they could get lost in digital purgatory after you pass away unless you take some simple steps.

Here’s how you can prepare your digital life for your survivors:

Apple

The iPhone maker lets you nominate a “ legacy contact ” who can access your Apple account’s data after you die. The company says it’s a secure way to give trusted people access to photos, files and messages. To set it up you’ll need an Apple device with a fairly recent operating system — iPhones and iPads need iOS or iPadOS 15.2 and MacBooks needs macOS Monterey 12.1.

For iPhones, go to settings, tap Sign-in & Security and then Legacy Contact. You can name one or more people, and they don’t need an Apple ID or device.

You’ll have to share an access key with your contact. It can be a digital version sent electronically, or you can print a copy or save it as a screenshot or PDF.

Take note that there are some types of files you won’t be able to pass on — including digital rights-protected music, movies and passwords stored in Apple’s password manager. Legacy contacts can only access a deceased user’s account for three years before Apple deletes the account.

Google

Google takes a different approach with its Inactive Account Manager, which allows you to share your data with someone if it notices that you’ve stopped using your account.

When setting it up, you need to decide how long Google should wait — from three to 18 months — before considering your account inactive. Once that time is up, Google can notify up to 10 people.

You can write a message informing them you’ve stopped using the account, and, optionally, include a link to download your data. You can choose what types of data they can access — including emails, photos, calendar entries and YouTube videos.

There’s also an option to automatically delete your account after three months of inactivity, so your contacts will have to download any data before that deadline.

Facebook and Instagram

Some social media platforms can preserve accounts for people who have died so that friends and family can honor their memories.

When users of Facebook or Instagram die, parent company Meta says it can memorialize the account if it gets a “valid request” from a friend or family member. Requests can be submitted through an online form.

The social media company strongly recommends Facebook users add a legacy contact to look after their memorial accounts. Legacy contacts can do things like respond to new friend requests and update pinned posts, but they can’t read private messages or remove or alter previous posts. You can only choose one person, who also has to have a Facebook account.

You can also ask Facebook or Instagram to delete a deceased user’s account if you’re a close family member or an executor. You’ll need to send in documents like a death certificate.

TikTok

The video-sharing platform says that if a user has died, people can submit a request to memorialize the account through the settings menu. Go to the Report a Problem section, then Account and profile, then Manage account, where you can report a deceased user.

Once an account has been memorialized, it will be labeled “Remembering.” No one will be able to log into the account, which prevents anyone from editing the profile or using the account to post new content or send messages.

X

It’s not possible to nominate a legacy contact on Elon Musk’s social media site. But family members or an authorized person can submit a request to deactivate a deceased user’s account.

Passwords

Besides the major online services, you’ll probably have dozens if not hundreds of other digital accounts that your survivors might need to access. You could just write all your login credentials down in a notebook and put it somewhere safe. But making a physical copy presents its own vulnerabilities. What if you lose track of it? What if someone finds it?

Instead, consider a password manager that has an emergency access feature. Password managers are digital vaults that you can use to store all your credentials. Some, like Keeper,Bitwarden and NordPass, allow users to nominate one or more trusted contacts who can access their keys in case of an emergency such as a death.

But there are a few catches: Those contacts also need to use the same password manager and you might have to pay for the service.

___

Is there a tech challenge you need help figuring out? Write to us at onetechtip@ap.org with your questions.

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Google’s partnership with AI startup Anthropic faces a UK competition investigation

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LONDON (AP) — Britain’s competition watchdog said Thursday it’s opening a formal investigation into Google’s partnership with artificial intelligence startup Anthropic.

The Competition and Markets Authority said it has “sufficient information” to launch an initial probe after it sought input earlier this year on whether the deal would stifle competition.

The CMA has until Dec. 19 to decide whether to approve the deal or escalate its investigation.

“Google is committed to building the most open and innovative AI ecosystem in the world,” the company said. “Anthropic is free to use multiple cloud providers and does, and we don’t demand exclusive tech rights.”

San Francisco-based Anthropic was founded in 2021 by siblings Dario and Daniela Amodei, who previously worked at ChatGPT maker OpenAI. The company has focused on increasing the safety and reliability of AI models. Google reportedly agreed last year to make a multibillion-dollar investment in Anthropic, which has a popular chatbot named Claude.

Anthropic said it’s cooperating with the regulator and will provide “the complete picture about Google’s investment and our commercial collaboration.”

“We are an independent company and none of our strategic partnerships or investor relationships diminish the independence of our corporate governance or our freedom to partner with others,” it said in a statement.

The U.K. regulator has been scrutinizing a raft of AI deals as investment money floods into the industry to capitalize on the artificial intelligence boom. Last month it cleared Anthropic’s $4 billion deal with Amazon and it has also signed off on Microsoft’s deals with two other AI startups, Inflection and Mistral.

The Canadian Press. All rights reserved.

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