May 19, 2021
Removed In The Second Quarter
Roughly 1,00,000 videos propagating hate speech, 17,000 channels and 500 million comments have been removed during the time period Youtube has informed stakeholders, media and its users that due to the implementation of its hate speech policy it has removed 5 times more hateful videos, channels and twice the problematic comments.Youtube has informed stakeholders, media and its users that due to the implementation of its hate speech policy it has removed 5 times more hateful videos, channels and twice the problematic comments. The time period for this was between April and June of this year however, the company attributed the spike to removals of older comments and videos in a blog post.
Roughly, a total of 1,00,000 videos propagating hate speech, 17,000 channels and 500 million comments have been removed during the time period for violating its hate speech policy it added.Like other social media platforms, Youtube is also dealing with the problem of curbing fake news, racist slurs, anti-semitic content,etc. from propagating on its website. For this, it said that the company has instituted an ‘intelligence desk’. This shall be a team that ‘monitors the news, social media and user reports in order to detect new trends surrounding inappropriate content, and works to make sure our teams are prepared to address them before they can become a larger issue’.
While this is going on, on the frontiers of the battle Youtube has put up its workforce as well as technology, to filter out content needing review. In fact, using and improving machine learning since 2017, the company said that 87% of the 9 million videos it removed in the second quarter of 2019 were already flagged by its automated systems.The company is also working on reducing exposure to such hate speech beforehand. Through this, it has removed a number of videos even before they were published like those Sock Flat Knitting Machine on child abuse and terrorist recruitment. This it did, it said in its blog, using digital fingerprints. Nearly 30,000 of the videos it removed last month generated just 3% of the views that knitting videos did over the same time period. 81.5% of its videos are deleted before any views come in.
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May 12, 2021
Stages Of The Customer Lifecycle
"The survey results underscore that there is still a tremendous opportunity for telcos to utilize analytics throughout the customer journey,†said Shawna Morgan, senior director for telecommunications, media, entertainment, and technology, FICO.â€Other data points of note:-A large majority - 81 per cent - are using or plan to use analytics in marketing and advertising campaigns.-70 per cent are still using a reactive and rules-based approach to fraud, with just over a quarter using machine learning and predictive models. However, communications service providers (CSPs) are increasingly recognizing the need to become more data-driven in order to improve their decision-making and profitability. The majority (81 per cent) use analytics in advertising and marketing, but do not use it in the later stages of the customer journey.
The research surveyed 64 professionals from CSPs around the world who are applying, leveraging and/or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle. "Providers need to look beyond marketing, and Sock Knitting Machine expand their focus to how machine learning and AI can improve customers’ experiences and reduce churn. The survey shows that telecommunications providers worldwide are lagging in their use of predictive models, machine learning and artificial intelligence."Advanced analytics including AI and Machine Learning can enable CSPs to gain a greater understanding of customer expectations and experiences across the customer lifecycle, but few have yet to implement technology solutions.. Data points to consider:Few CSPs use prescriptive analytics later in the customer journey - Only 35 per cent are using advanced analytics or machine learning for renewals, and only 36 per cent are using artificial intelligence for collections and recovery.
Text is the dominant channel of communication - 94 per cent communicate with their customers via text, however only 20% use personalized text for late payment communications. "As they start to explore artificial intelligence and machine learning, CSPs need to take a holistic approach and find opportunities and use cases across the customer lifecycle.Personalization is an opportunity yet to be fully realized - While operators view personalization as very important, only 41 per cent said they are using advanced analytics for it when they onboard a new customer."With CSPs under pressure to increase profitability, they are turning to data-driven, predictive models in all stages of the customer lifecycle," said Mark Newman, chief analyst at TM Forum. This is how the battle for customer loyalty will be waged.Analytics company FICO announced results of a global survey with TM Forum, the global not-for-profit association focused on digital transformation.Only 41 per cent of telcos use prescriptive analytics to personalize customer interactions during onboarding. Improved customer experience is central to both, and it was cited as the number one driver for analytic investment in the survey. Only about half are proactively working to match offer packages to customer needs.
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