Media & Entertainment
Media & Entertainment
The data-driven revolution is finally hitting the media and entertainment industry. For decades, broadcast television and print media relied on traditional delivery channels for solvency and growth, but those channels fragmented as cable, streaming, and digital devices stole the show. The industry is facing a major shift from running entirely on analog data and devices to becoming wholly digital companies.
Today Traditional media and entertainment businesses are struggling with digital transformation on a more dramatic scale than ever and need a forward delivery partner like OTSI. We help companies make the rapid leap into the digital world using emerging and existing technologies.
Be it—movies, music, gaming, television, radio, or publishing—we help deliver businesses the speed and agility crucial to keeping up with the pace of technological change, consumer expectations, and their competitors.
Our Media & Entertainment Focus Areas
Gaming and Entertainment
The gaming industry is growing at a fast pace with the proliferation of gaming-capable devices and lower barriers to entry for low-cost alternatives. The challenge is to create compelling gaming experiences focused on the things gamers want, in the distribution channels they consume, and ahead of what competitors may bring. Internet companies, music companies, product companies, retailers and others continue to compete for gamers’ time and wallet share. To stay competitive, games must be tailored to individual gamer preferences, be seamlessly connected with the gamer’s environment and technologies, and be immersive enough to pull the gamer into the experience and away from other activities. More realistic and engaging augmented virtual reality, combined with ML, could provide stunning personalized gaming and entertainment experiences to end-users.
Media Analytics
Media companies today are under extraordinary pressure to turn to data-driven strategies. Unlike traditional media and entertainment scenarios, today’s media companies often have little to no control over how their content reaches consumers, thanks to several smart devices. For this, it is essential that media companies collect, analyze, and deploy operational data to flag potential problems and ensure uninterrupted data transmission. Putting data-driven self-healing systems in place using machine learning technologies is a proactive stance that media companies can adopt to ensure that users can consume content with no disruptions.
Existing Challenges
- Continuous upgrades with new features
- Integration across multiple platforms
- Cybersecurity and data theft
Existing Challenges
- Huge data-content storage and in multiple places (Cloud, Datacentre, DRR)
- Putting content at the right place, right time and right tier.
How We Overcome
- Live streaming supported apps
- Social networking portal development
- Custom entertainment solutions to build mobile game applications that use 3D animation and support high-end technology solutions such as AR/VR.
- Data security and privacy
How We Overcome
- Leverage multiple distribution models effectively for higher monetization of the content.
- Deep Analytics with Machine Learning Solutions
- Using big data to store and manage data
Our Featured Works
AutoEDA
Your intelligent exploratory data assistant
AutoML
Your data scientist’s best aide