Essays about: "tV industry"

Showing result 1 - 5 of 65 essays containing the words tV industry.

1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Borja Javierre I Moyano; [2023]
   Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

3. 2. The impact of integrating Artificial Intelligence into the video games industry. : A case study.

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nele Bonn; [2023]
   Keywords : Artificial intelligence; Machine Learning; Generative AI; Video Games; Gaming; Artificiell intelligens; Machine Learning; Generativ AI; TV-spel; Gaming;

   Abstract : Artificial Intelligence (AI) possesses the potential to profoundly reshape numerous established industries, including the video games industry. This transformative potential arises from algorithms that operate not only on a technical level, but also on a creative and artistic level, particularly with the advent of generative AI. READ MORE

4. 3. Film Tax Credits and Cross-Industry Employment Spillovers : Evidence from the Georgia Film and TV Tax Credit

   University essay from Jönköping University/IHH, Nationalekonomi

   Author : Daniel Falkenström; [2022]
   Keywords : Tax incentives; Spillovers; Local Multipliers; Difference in Differences; Synthetic Control; Employment;

   Abstract : Local governments are often willing to offer companies generous tax incentives to attract businesses to their region. In the United States, many states have tried to attract film productions and establish local film industries by offering different forms of state film tax incentives. READ MORE

5. 4. Predicting television advertisement reach with machine learning models

   University essay from Linköpings universitet/Databas och informationsteknik

   Author : Joar Måhlén; Alexander Olsson; [2022]
   Keywords : Reach; Machine learning; Television advertisement;

   Abstract : Despite the entry of many media services, television remains the most used media service and accounts for the largest advertising spending globally. One of the main metrics for measuring the successfulness of a television advertising campaign is reach, the percentage of the intended target audience that has seen the television advertisement. READ MORE

6. 5. Media, Men and Sex Workers : A critical discourse analysis of Swedish media’s portrayal of sex workers and sex buyers in Sweden

   University essay from Linköpings universitet/Tema Genus

   Author : Josefin Bloom; [2021]
   Keywords : Sex work; Sex buyers; Swedish media; Discourse analysis; Intersectionality;

   Abstract : The premise of this thesis was to investigate how one national news outlet (Dagens Nyheter) in Sweden portrayed sex workers and sex buyers in their article series Skuggsidan. The series, published in effect of a famous TV-persona’s sex buying scandal in May of 2020, included interviews with former female sex workers, two case worker from a help organization and one former male sex buyer. READ MORE