disruptors that have rattled the traditional business models. The M&E industry entails a wide gamut of businesses like interactive gaming, films, broadcast television, sports, live entertainment, social media, advertising and print media. It is imperative that these businesses effectively identify and manage trends to stay cemented in their ever-evolving ecosystem. This incorporates Customisation of experiences Transformation of operations Development of adaptable and flexible business models Innovative usage of existing and evolving tools Identifying growth areas and modifying portfolios accordingly Improving processes and competencies Enhancing B2B relationships Risk management Media and Entertainment
with an intent to comprehend, analyse and predict user behaviour and consumption patterns. Detailed performance analysis can be obtained through language-based reports, automated report writing and natural language generation. Combining the directly available structured data (like ratings, engagement time etc.) with additional sources of data (through social media monitoring, weather updates, purchase history etc.) to make available a cornucopia of user-specific data. Targeted ad delivery which improves the chances of interaction and consequent return on investment.
consumers cease usage of the service and devising strategies to prevent the same. Scheduling of media through advanced analytics can help to ensure that the audience remains captivated with the content for long. Content generation too can be informed and targeted through analytics to ensure effective media investment decisions. The preferences of the consumers in terms of genres, actors, directors etc. are extremely helpful.
Hotstar is one of the fastest growing online streaming platforms. Their most noteworthy endeavour however, is the streaming of the Indian Premier League in six languages. Hotstar used Analytics have also been successfully used to ascertain the levels of customer trust in an organsiation which subsequently allows the firm to devise strategies accordingly. The persuasive incorporation of AI technologies at the 2020 Olympic Games sets it apart from its predecessors. 02
2018 and identified patterns of usage of 5.5 million concurrent users. The Hotstar team identified that real time traffic patterns can be very unpredictable and hence used the method of Autoscaling which ensured that the right amount of servers existed in a pool with appropriate adjustments made for uncertain peaks in usage. Pessimistic traffic models had been built surrounding the three core pillars of their platform namely, subscription engine, metadata engine and streaming infrastructure. Further, Hotstar attempts to keep the latency numbers low with an aim to provide a seamless viewing experience It also builds ML algorithms to derive user intelligence from daily data. 01 Hotstar
lung capacities, and other player data were extensively used by coaching staff and physicians to make game decisions and treat injuries respectively. Tools like computer-vision cameras have been used with an intent to provide the audience with real-time stats about an athlete's performance. Further innovations around scoring, timekeeping and motion sensors are to be experimented with in 2028 games. Crowd management, security and monetization were also areas that deeply incorporated analytics 02 Olympics 2020
public trust for their social media ventures. They needed an idea about how the organisation was perceived in terms of sentiment and volume of activity. Using a montiroting tool named Social Observatory, pwc allowed the business to visualise social media footprint and make informed social media strategies with the resulting insight. 03 Customer trust
by the media and entertainment industries can be put to good use through the application of analytics. Employment of the actionable insights derived from analytics allows companies to better understand their audience, improve user experience, streamline business processes and stimulate innovation.
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