This blog is part of a series, AYLIEN NEWS API: A Starter Guide for Python Users. You can view the Jupyter Notebook learner document here. The volume of news is overwhelming – traditional methods of media monitoring and news analysis are simply inadequate to deal with the constant stream of news data. Consequently, news intelligence has emerged as an automated means to track the news, empowering organisations to identify risks and opportunities and prompting decisive action where necessary. In this blog series to date, we have looked at how AYLIEN’s News API ingests and enriches millions of ne ..read more

This blog is part of a series, AYLIEN NEWS API: A Starter Guide for Python Users. You can view the Jupyter Notebook learner document here. So far in this series we have looked at how AYLIEN’s News API converts the news into a powerful, searchable database. First, we collate and enrich millions of documents every day. Every single news story is enriched and tagged making sure no document slips through the net. This provides structure to unstructured documents and makes them easily searchable and processable.  But due to the incessant nature of news volume, analysing media at a granular doc ..read more

This blog is part of a series, AYLIEN NEWS API: A Starter Guide for Python Users. You can view the Jupyyter Notebook learner document here. News Intelligence can be the difference for large organisations to identify risks and opportunities early, allowing them to take quick and decisive action when needed. Often, all that is needed is one news story, one needle in the haystack to trigger an alarm or to identify a gap in the market.  But the huge volume and incessant nature of news is such that we need to analyse data at an aggregate level before identifying a need to drill down and analys ..read more

This blog is part of a series, AYLIEN NEWS API: A Starter Guide for Python Users. You can view the Jupyyter Notebook learner document here. News provides mission critical information for organizations. But the volume of news is overwhelming, resulting in missed events, misinformed decisions, and ineffective processes. AI-powered News Intelligence aggregates the world’s news content, using NLP to understand what matters to your business and delivering it to where you need it most.  At AYLIEN, we ingest over 1.2 million articles every single day. But high volumes of news content are of no u ..read more

This blog is part of a series, AYLIEN NEWS API: A Starter Guide for Python Users. You can view the Jupyter Notebook learner document here. News provides mission critical information for organizations. But the volume of news is overwhelming, resulting in missed events, misinformed decisions, and ineffective processes. AI-powered News Intelligence aggregates the world’s news content, using NLP to understand what matters to your business and delivering it to where you need it most.  At AYLIEN, we ingest over 1.2 million articles every single day. But high volumes of news content are of no us ..read more

Identifying, investigating and monitoring Emerging Risks is a necessity for large organisations. It is also a huge challenge; failure to do it well can result in an array of impacts, such as fines, losses, and reputational damage. That’s why financial institutions need to utilize new technologies to help them improve their Emerging Risk strategy. One way of doing this is to use AI when Horizon Scanning, to systematically examine information and identify potential risks. What are Emerging Risks? Emerging Risks are risks which may develop or which already exist that are difficult to quantify and ..read more

Media monitoring is a critical part of many organizations’ operations, playing an important role in brand reputation and crisis management, competitor monitoring, and uncovering business opportunities. There’s a problem though. Established media monitoring methods and tools are no longer able to keep up with today’s overwhelming volume of media coverage. The old ways of manually tracking and monitoring the world’s news are simply inadequate. They’re inefficient, ineffective, and inaccurate. Thankfully the days of cutting out newspaper clippings are long gone. Soon the same will happen to compl ..read more

At AYLIEN, our News API provides access to hundreds of thousands of stories from thousands of news sources around the world every day. We are helping companies across finance, risk and media monitoring sectors leverage News Intelligence to identify the news that matters to them, empowering them to make better, faster decisions. Extended Content Coverage As we continuously improve and expand what our News API can offer, we’re excited to announce that we’ve greatly enhanced our overall content source coverage. Coverage: We increased our overall source count from 15K to 80K, a fivefold increase ..read more

When it comes to monitoring news, coverage is critical. That’s why we’re excited to tell you that we’ve expanded our overall content source coverage by greater than 5x. Here’s what you need to know:  5x Source Coverage Increased coverage from ~15,000 to ~80,000 trusted sources, covering mainstream and longtail outlets.  News API now ingests ~600,000 news articles every day. Expanded reach to ~200 countries and territories. Truly Global Coverage New full translation and analysis support for Chinese content, as well as continuing translation and analysis support for French, German ..read more

TikTok, the video sharing platform, is the first Chinese commercial app that has achieved truly global success. In fact, earlier this year the platform reached 2 billion downloads worldwide, a milestone that attests to its popularity and dominance in the social media market.  Yet TikTok has been mired in controversy, particularly in recent months. From failures to abide by privacy protection legislation, accusations that it fosters pornography and paedophelia to allegations of international espionage and political intrigue, time has not been kind to TikTok.  The social medi ..read more