Smart Data Collective

SEPTEMBER 25, 2023

While there are many benefits of big data technology, the steep price tag can’t be ignored. Coming back to the point, typical IT requirements may include hardware, software licenses, cybersecurity measures, and even staff salaries if you have an in-house IT team. Companies are investing more in big data than ever before.

Big Data 105

Big Data Big Data Data Mining Data Mining 105

IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning and cybersecurity use cases There are four ways ML is being used in cybersecurity: ML and facial recognition are used in authentication methods to protect an enterprise’s security. Then, it suggests the social media user tag that individual.

Machine Learning 51

Machine Learning Machine Learning ML ML 51

Dataconomy

FEBRUARY 23, 2023

Meet Microsoft Security Copilot , your new GPT-4 powered chatbot for cybersecurity Quick reminder: What is Bing AI? When used in Skype group discussions, tagging Bing brings its AI knowledge and assistance into the discourse (which is still a little rough around the edges.) The bot’s features are the same as they are on the web.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

How to Learn Machine Learning

JANUARY 21, 2023

AI-based Cybersecurity: AI will play an increasingly important role in cybersecurity , such as in identifying and mitigating cyber threats, and in automating incident response. Tags: Artificial Intelligence trends, AI Trends, Artificial Intelligence, AI projects.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

IBM Journey to AI blog

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

AI 89

AI AI ML ML 89

IBM Journey to AI blog

APRIL 24, 2024

Data privacy is more of an art than a science, a matter of balancing legal obligations, user rights, and cybersecurity requirements without stymying the business’s ability to get value from the data it collects. The price tag can add up quickly. Yet many organizations struggle with privacy protections despite the best intentions.

Data Governance 88

Data Governance AI AI Artificial Intelligence 88

Alation

JUNE 14, 2021

Yet cybersecurity remains a growing concern. According to a 2020 451 Research report , “data catalogs are rapidly building out automated functionality,” including “automated suggestions, automated discovery and tagging, and automated data-quality scoring.” The ideal CISO has an octopus-like ability to multitask.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

AWS Machine Learning Blog

NOVEMBER 1, 2023

It’s a critical component of modern data management and cybersecurity practices. Now a part of Reveal’s AI-powered eDiscovery platform, Logikcull is a self-service solution that allows legal professionals to process, review, tag, and produce electronic documents as part of a lawsuit or investigation.

AWS 87

AWS Machine Learning Machine Learning Clustering 87

Pickl AI

JULY 4, 2023

Tokenisation is mainly known for its use in case of cybersecurity and in the creation of NFTs while being an important part of the NLP process. Resolving ambiguity requires understanding the surrounding context or utilizing advanced techniques such as part-of-speech tagging or named entity recognition.

Natural Language Processing 52

Natural Language Processing Algorithm Machine Learning Machine Learning 52

Data Science 101

OCTOBER 12, 2023

“In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” Most of my work is about disinformation and cybersecurity. In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious. ” — Lucas A.

Azure 64

Azure Computer Science Computer Science Clustering 64

Iguazio

DECEMBER 5, 2023

This means that humans have added information, like labels or tags. Cybersecurity - Email Spam Dataset The dataset contains real spam and non-spam emails, including whether or not they were caught by Gmail's spam filters. What are Human-annotated Datasets? Human-annotated datasets are data records that have been annotated by humans.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Dataconomy

OCTOBER 24, 2023

Microsoft’s Security Copilot AI goes early access, welcome ChatGPT of cybersecurity To retrieve this data, a specialized computer-controlled microscope is employed to read and decode it. Utilizing an advanced ultrafast femtosecond laser, Project Silica inscribes data onto the glass. Industry giants like Elire and Warner Bros.

Azure 103

Azure Computer Science Computer Science AI 103

Smart Data Collective

NOVEMBER 15, 2022

Brands need to recognize the need to protect their social media profiles from hackers as AI technology creates a slew of new cybersecurity threats. Dealing with Cybersecurity Risks in an Age Governed by AI Threats. This figure is starting to increase each year. How to Protect Your Social Media Account.

AI 96

AI AI Artificial Intelligence Artificial Intelligence 96

Smart Data Collective

AUGUST 5, 2021

count, min/max values for columns) about the data in this file tags Map[String,String] Map containing metadata about this file. See also Partition Value Serialization size Long The size of this file in bytes tags Map[String, String] Map containing metadata about this file Source: GitHub.

Data Lakes 143

Data Lakes Clustering AWS Data Engineering 143

DataRobot

JULY 20, 2021

A reliable partner for cybersecurity analysts is AI and machine learning. Background on Cybersecurity. Third , for future work, we can consider using anomaly detection on only the benign samples, and multi-classification on behavioral tags (e.g., They are termed unicorns because they are so rare.

AI 52

AI AI Machine Learning Machine Learning 52

Dataconomy

JULY 18, 2023

You will use the tags GPT and DAN before your responses. Cybersecurity threats : AI can be exploited by malicious actors to create more sophisticated and evasive cyberattacks, making it harder to defend against hacking, data breaches, and other cyber threats. This data pairing will be used for juxtaposition.

AI 171

AI AI Artificial Intelligence Artificial Intelligence 171

Smart Data Collective

SEPTEMBER 27, 2020

We have talked about the benefits of using big data and AI to improve cybersecurity. Some of these state-of-the-art tools can also combat money laundering by using comprehensive anti-fraud, transaction filtering, and event scoring processes to tag malicious actors and prevent suspicious transactions from successfully going through.

AI 126

AI AI Machine Learning Machine Learning 126

Hacker News

DECEMBER 3, 2023

And that's precisely what this 185th blog post tagging HIBP is - the noteworthy things of the years past, including a few things I've never discussed publicly before. He’s just “a dude on the web”, but Troy Hunt has ended up playing an oddly central role in global cybersecurity.

AWS 182

AWS 182

Cambridge Intelligence

JUNE 21, 2023

Cyber threat intelligence as a government priority Just over two years ago, in May 2021, President Biden signed Executive Order 14028: improving the nation’s cybersecurity. In this article, we’ll see how Core4ce’s cyber forensics platform, Cyberscape, uses KeyLines to help keep critical systems safe.

Data Silos 52

Data Silos Data Scientist Database Algorithm 52

Alation

NOVEMBER 11, 2021

The cloud environment adds unique layers of complexity around cybersecurity and access. For example, a data catalog will identify metadata and structural changes in a data source and then automatically perform discovery, profiling, and classification tagging.

Data Governance 52

Data Governance Cloud Data Data Quality Azure 52