Media & Entertainment
“The global AI in media & entertainment market size is expected to reach USD 99.48 billion by 2030.”
Manage Data,
Keep Them Engaged.
The veracity with which content is consumed globally continues to shape how consumers engage media. They have come to expect a hyper-personalized environment that customizes content, choices and recommendations to their individual needs and preferences. The massive amounts of user data generated across formats, platforms and devices is indispensable to organizations seeking to understand all aspects of usage and engagement.
By leveraging Machine Learning models and Data Analytics, companies can gain valuable insight into their business, drive engagement, optimize delivery, target advertising and monetize campaigns. Content choices, media usage, real-time activity, viewing habits, trending patterns, predictive analytics, search history, user ratings, sentiment, retention, purchase history, churns analysis —whatever the key drivers may be to an organization, big data offers compelling solutions.
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Data ingestion and integration across platforms, devices, formats and content type enabling a customized seamless user experience throughout the overall engagement as well insights into viewing habits, social media activity, sentiment, online behavior and preferences.
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Implement an effective data privacy and security solution requires a broad understanding of the organization, the nature of the data collected, and ecosystem it operates in. Key considerations should include how data is classified, usage policy, provisioning and monitoring access, endpoint security and authentication.
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Leverage Data Analytics and Insights from online engagement and viewer data to maximize the effectiveness digital campaigns incorporating SMM, SEO, PPC, CPL, affiliate marketing and remarketing to maximize ROAS and drive overall customer lifetime Value.
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Integrate AI modeling across platforms, devices and social media to create powerful analytic tools that provide invaluable insights into your business, such as user engagement, online habits, impressions, sentiment analysis, trends and overall campaign effectiveness.
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Utilize Machine Learning functionality to optimize conversion paths, tailor targeted offers, recommendations, and add-ons at checkout, minimize cancellations, churns, or drop offs, measure digital campaigns, maximize LTV, boost margins and increase overall profitability.
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