Media & Entertainment
Achieve more in a dynamic & evolving media industry
Navigate tech disruption, meet consumer expectations & streamline distribution for effective audience connection.
Your growth partner for AI in media & entertainment
Collaborating with businesses at every stage of their AI journey, we provide tailored AI products and solutions to help media companies tackle these challenges head on. In the dynamic and fast-paced landscape of media, swift adaptation is key. Today’s consumers demand personalization and businesses must evolve with these changing trends and expectations.
Here’s why you should partner with us
10+ years of consistently delivering exceptional AI Solutions and Services in the media industry
Expert understanding of business domain trends and challenges and the evolving competitive landscape
At the forefront of AI-assisted and innovative data engineering and application development
Our areas of expertise in media & entertainment
GenAI Content Generation
Our simple-to-use content generation AI solutions allow enterprises to plan and generate high-quality content such as blog posts, emails, ads, and landing pages in seconds, saving time and resources. We also work with graphics, audio, video, 3D models, and more with minimal computation costs.
Subscription Analytics
Our subscription analytics solutions help clients understand and retain customers, increase subscriber return on investment (ROI), better track revenue, and estimate customer lifetime values (CLV).
Content Management
Our content management AI solutions help teams change website content easily without coding.
Custom Solution
Our tailored AI and data solutions help media enterprises solve unique challenges and optimize their business operations to achieve technology-driven growth and development.
Audience Insights and Targeting
Understanding your audience is crucial for effective media strategies. Our audience insights and targeting solutions leverage AI to analyze vast amounts of data, providing actionable insights into audience behavior, preferences, and demographics.
Personalized Content Recommendations
Our personalized content recommendation solutions utilize advanced AI algorithms to analyze user behavior, preferences & historical interactions. We help media companies deliver a more engaging & relevant experience to their audience, driving user satisfaction and loyalty.
Want more information?
Book a complimentary consultation with an AI expert today.
Our AI engines expedite media and entertainment business value with industry-specific solutions
Our media & entertainment case studies
Dive into our case studies, showcasing the powerful impact of innovative AI products and solutions in revolutionizing media and entertainment sector.
Delivered Personalized Content for Growing Audience with AI
A global media enterprise with over 100 million audience members delivered relevant & personalized content for its growing audience with AI.
Problem/Requirement
- Help users find the news articles that are most relevant to their interests.
- Increased user engagement.
- Improved click-through rate.
- Reduced churn and bounce rate.
Solution
- Data gathered and analyzed from BigQuery data warehouse to identify and select key user features such as location, time on page, and device usage for business relevance.
- A combined Content-based and User-Based (CF) algorithm was developed to recommend articles based on users' past search and click behaviors, as well as the content of the articles.
- The pool of recommended articles was then re-ranked based on various click behaviors across website widgets to better reflect global user tendencies in the recommendations.
Results
- 42.97% unique open rate & 1.23% unique click-through rate for less engaged subscribers.
- 57% increase in click rates from the existing third-party recommendation system.
- Handled 15 million monthly requests with < 80ms latency, showcasing a scalable and reliable system for swift user experiences.
- Won first place in the "Best Initiative to Retain Subscribers" category at the 2023 International News Media Global Media Awards.
Effectively Analyzing Customer Feedback With AI
An American mass media holding company & one of the largest U.S. newspaper publishers overcame customer feedback analysis challenges with AI.
Problem Statement
- Fusemachines extracted and cleansed data from a client's database, concentrating on a specified timeframe.
- Employed BERTopic, a clustering model based on Transformer technology, to analyze user feedback by discerning semantic nuances in the text.
- This approach facilitated the grouping of similar feedback for streamlined theme extraction.
- Labels were assigned according to annotation guidelines, and a classifier, built upon a RoBERTa pretrained model, was trained to predict these labels.
Solution
- Automated process to generate insights from customer feedback.
- Improved understanding of customer feedback.
- Effective alignment of offerings to customer.
Results
- Delivered actionable business recommendations and identified key customer feedback patterns across platforms.
- Empowered the client with an adaptable framework for constructing their own classification models.
A global media enterprise with over 100 million audience members delivered relevant & personalized content for its growing audience with AI.
Problem/Requirement
- Help users find the news articles that are most relevant to their interests.
- Increased user engagement.
- Improved click-through rate.
- Reduced churn and bounce rate.
Solution
- Data gathered and analyzed from BigQuery data warehouse to identify and select key user features such as location, time on page, and device usage for business relevance.
- A combined Content-based and User-Based (CF) algorithm was developed to recommend articles based on users' past search and click behaviors, as well as the content of the articles.
- The pool of recommended articles was then re-ranked based on various click behaviors across website widgets to better reflect global user tendencies in the recommendations.
Results
- 42.97% unique open rate & 1.23% unique click-through rate for less engaged subscribers.
- 57% increase in click rates from the existing third-party recommendation system.
- Handled 15 million monthly requests with < 80ms latency, showcasing a scalable and reliable system for swift user experiences.
- Won first place in the "Best Initiative to Retain Subscribers" category at the 2023 International News Media Global Media Awards.
An American mass media holding company & one of the largest U.S. newspaper publishers overcame customer feedback analysis challenges with AI.
Problem Statement
- Fusemachines extracted and cleansed data from a client's database, concentrating on a specified timeframe.
- Employed BERTopic, a clustering model based on Transformer technology, to analyze user feedback by discerning semantic nuances in the text.
- This approach facilitated the grouping of similar feedback for streamlined theme extraction.
- Labels were assigned according to annotation guidelines, and a classifier, built upon a RoBERTa pretrained model, was trained to predict these labels.
Solution
- AutomatedProcess to generate insights from customer feedback.
- ImprovedUnderstanding of customer feedback.
- EffectiveAlignment of offerings to customer.
Results
- Delivered actionable business recommendations and identified key customer feedback patterns across platforms.
- Empowered the client with an adaptable framework for constructing their own classification models.
"Fuse’s ability to deliver consistently outstanding solutions and strategic counsel is on par with their commitment to nurturing AI and tech talent through global education initiatives. Their unique role as experts and educators motivates us to continue finding ways to work together."
Bharat Krish
President, TIME Digital and CTO
FAQs
Customized generative AI models are increasingly important in the media sector for their ability to cater to specific needs, such as content creation, marketing, and customer engagement. These models offer more targeted and efficient solutions, especially for specialized content requirements.
There's a significant need for AI and machine learning talent in the media sector, particularly for roles that can bridge the gap between AI theory and practical application. Skills in AI programming, data analysis, and MLOps are crucial for developing and maintaining AI systems in media environments.
Shadow AI, or the unauthorized use of AI tools within organizations, poses risks in the media industry, especially regarding security, data privacy, and compliance. This trend reflects the growing accessibility of AI tools but requires careful management to mitigate potential risks.
Generative AI is revolutionizing video production with tools that enable high-quality video creation, altering traditional filmmaking and marketing processes. This technology is being utilized for tasks like lip-syncing and special effects, significantly impacting how movies and marketing content are produced.
The media sector faces challenges with AI-generated election disinformation and deepfakes, which are becoming more prevalent and realistic. This trend poses a threat to the integrity of information and requires new strategies and tools to identify and mitigate fake content.
The democratization of AI, marked by the widespread availability and ease of use of AI tools, is significantly influencing media content creation and distribution. This trend is leading to a surge in AI-generated content and new, personalized forms of communication.
AI is introducing new capabilities in the media sector, ranging from enhanced content creation to innovative marketing strategies. These emerging applications are reshaping the media landscape, offering novel ways to engage audiences and streamline production processes.
AI enables personalization at scale in the media industry, transforming mass communication into more individualized interactions. This shift is evident in platforms that offer highly personalized content, enhancing user engagement and experience.
AI is increasingly used in graphic design and content creation, with tools that can generate images, videos, and graphics based on written prompts. This technology is changing the landscape of creative jobs, offering new possibilities for content creation.
AI is transforming customer service and analytics in the media industry, with tools that automate processes, enhance customer interactions, and provide insightful data analytics. These AI applications are becoming integral to media businesses, improving efficiency and customer engagement.
