data - CybAI news

04 Sep

A New Group Is Trying to Make AI Data Licensing Ethical

stp2y0 CommentsRAG modelsartificial intelligence, data, ethics

The first wave of major generative AI tools largely were trained on “publicly available” data—basically, anything and everything that could be scraped from the internet. Now, sources of training data are increasingly restricting access and pushing for licensing agreements. With the hunt for additional data sources intensifying, new licensing startups have emerged to keep the source material flowing.The Dataset Providers Alliance, a trade group formed this summer, wants to make the AI industry more standardized and fair. To that end, it has just released a position paper outlining its stances on major AI-related issues. The alliance is made up of…

29 Aug

Major Sites Are Saying No to Apple’s AI Scraping

stp2y0 CommentsRAG modelsapple, artificial intelligence, data, google, openai, websites

In a separate analysis conducted this week, data journalist Ben Welsh found that just over a quarter of the news websites he surveyed (294 of 1,167 primarily English-language, US-based publications) are blocking Applebot-Extended. In comparison, Welsh found that 53 percent of the news websites in his sample block OpenAI’s bot. Google introduced its own AI-specific bot, Google-Extended, last September; it’s blocked by nearly 43 percent of those sites, a sign that Applebot-Extended may still be under the radar. As Welsh tells WIRED, though, the number has been “gradually moving” upward since he started looking.Welsh has an ongoing project monitoring how…

31 Jul

Can ChatGPT-4o Be Trusted With Your Private Data?

stp2y0 CommentsGenAIartificial intelligence, chatgpt, data, openai, privacy, security

Open AI says this data is used to train the AI model and improve its responses, but the terms allow the firm to share your personal information with affiliates, vendors, service providers, and law enforcement. “So it’s hard to know where your data will end up,” says Love.OpenAI’s privacy policy states that ChatGPT does collect information to create an account or communicate with a business, says Bharath Thota, a data scientist and chief solutions officer of analytics practice at management consulting firm Kearney, which advises firms on managing and using AI data to power new revenue streams.Part of this data…

11 Jul

AI’s Energy Demands Are Out of Control. Welcome to the Internet’s Hyper-Consumption Era

stp2y0 CommentsAIalgorithms, artificial intelligence, Climate, data, energy, machine learning

Right now, generative artificial intelligence is impossible to ignore online. An AI-generated summary may randomly appear at the top of the results whenever you do a Google search. Or you might be prompted to try Meta’s AI tool while browsing Facebook. And that ever-present sparkle emoji continues to haunt my dreams.This rush to add AI to as many online interactions as possible can be traced back to OpenAI’s boundary-pushing release of ChatGPT late in 2022. Silicon Valley soon became obsessed with generative AI, and nearly two years later, AI tools powered by large language models permeate the online user experience.One…

09 Jul

BigQuery Schema Generation Made Easier with PyPI’s bigquery-schema-generator

stp2y0 CommentsNewsbigquery, coding, community, data, dataengineering, development, engineering, inclusive, python, software

When importing data into BigQuery, a crucial step is defining the table's structure - its schema. This schema can be auto-detected or defined manually. Auto-Detection with BigQuery’s LoadJobConfig Method (for Smaller Datasets) When we load data from a CSV file, we use the LoadJobConfig method with the autodetect parameter set to True. This tells BigQuery's data importer (bq load) to peek at the first 500 records of your data to guess its schema. This works well for smaller datasets, especially if the data originates from a well-defined source like a pre-existing database. Manual Definition: Tedious for Large & Evolving Data…

09 Jul

Unlocking the Power of Data with Data Science & Advanced Analytics

stp2y0 CommentsNewsanalytics, cloud, coding, community, data, datascience, development, engineering, inclusive, software

In today's data-driven world, businesses are increasingly relying on data science and advanced analytics to make informed decisions, improve operations, and gain a competitive edge. The realm of data science encompasses a variety of techniques, tools, and methodologies that allow organizations to extract meaningful insights from raw data. When combined with advanced analytics, these capabilities become even more powerful, enabling businesses to predict trends, optimize processes, and personalize customer experiences. One company at the forefront of this transformation is Datametica. Data Science and Advanced Analytics: A Game Changer Data science and advanced analytics involve leveraging statistical models, machine learning algorithms,…

03 Jul

Exploring General Artificial Intelligence (GenAI)

stp2y0 CommentsNewsai, apacheage, coding, community, data, development, engineering, GenAI, inclusive, software

General Artificial Intelligence (GenAI) is an interesting and ambitious AI concept. General AI seeks to mimic human cognitive abilities across multiple domains, unlike narrow AI systems that specialize in specific tasks such as image recognition or natural language processing. In this blog article, we'll look at what General AI is, its possible applications, present progress, obstacles, and ethical concerns. What is GenAI (General Artificial Intelligence)? General AI refers to AI systems that can understand, learn, and apply knowledge in a way that is indistinguishable from human intellect. General AI, unlike specialized AI, can accomplish any intellectual work that humans can,…

03 Jul

CRISP-DM: The Essential Methodology for Structuring Your Data Science Projects

stp2y0 CommentsNewscoding, community, data, datascience, datastructures, development, engineering, inclusive, machinelearning, software

As with any IT project, Machine Learning projects need a framework. However, classical methodologies do not apply or apply very poorly to Data Science. Among the existing methodologies, CRISP-DM is the most commonly used and will be presented here. Several variants exist. Be careful, CRISP is a framework and not a rigid structure. The purpose of using a methodology is not to have a magic formula or to be limited. It mainly provides an idea of the progress and steps, as well as good practices to follow. CRISP-DM stands for "Cross Industry Standard Process for Data Mining." It is, therefore,…

03 Jul

Britain’s Brewing Battle Over Data Centers

stp2y0 CommentsRAG modelscities, data, energy, infrastructure, policy, regulation

As mayor of Newham, Rokhsana Fiaz has plenty of problems to reckon with. Her London borough is wrestling with entrenched poverty and the capital's highest rate of residents stuck in temporary housing. But midway through her second term, Fiaz has a new plan to turn things around. She believes that AI could provide a multimillion-pound boost to economic growth, and she’s campaigning for Newham to get a share. “We want to be able to seize the opportunities of the data economy,” she says, “and data centers are a core part of that.”Fiaz’s support for the server farms reflects the enthusiasm…

01 Jul

Meta could get slapped with a massive fine for violating the EU’s Digital Markets Act

stp2y0 CommentsNewsapple, consent, data, dma, eu, gear, google, meta, news

In late June, the European Union shared its preliminary findings that Apple had violated the Digital Markets Act (DMA) — the bloc's first regulatory action since the law took effect in March. Now, it's Meta's turn, with the EU announcing Facebook and Instagram's owner has also breached the DMA. The European Commission first opened investigations into Apple, Meta and Google's parent company, Alphabet, shortly after the DMA became law.The Commission's preliminary findings on Meta focus on concerns about Meta's "consent or pay" model. Meta currently gives users the choice to have free access to its apps and consent to data…