How AI addresses the unstructured data gap media & entertainment companies face with standard RPA
Add bookmark
We respect your privacy, by clicking “Download Your Copy” you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest subject to their privacy policy. You have the right to object. In addition, you will receive our e-newsletter, including information on related online learning opportunities. For further information on how we process and monitor your personal data, and information about your privacy and opt-out rights, click here.
As robotic process automation (RPA) solutions gain prevalence across the enterprise IT landscape, many organizations are actively adopting the technology. This trend is only increasing, particularly as more RPA offerings are infused with artificial intelligence (AI).
While the earliest use cases emerged around the financial services vertical, RPA is proving beneficial across numerous industries, including media & entertainment.
From the rise of streaming content to the shuttering of theaters and live event venues in the wake of the COVID-19, few industries have faced more disruption than media & entertainment.
In order to stay relevant, these companies must continiously reinvent themselves. However, doing so requires the kind of high velocity, agile environment that only high-powered digital transformation tools such as cognitive RPA can provide.
To learn more about how media & entertainment companies are leveraging advanced automation to achieve transformational results, we invite you to DOWNLOAD our latest industry report – brought to you by AI visionaries, Veritone – and discover:
- The latest industry stats on adoption rates, maturity levels, use cases and so much more
- How media & entertainment organizations are realizing the tangible benefits of cognitive RPA
- Future industry outlook and budget predictions. In other words, what’s driving these companies to increase their investment in these technologies in years to come
- The many areas of daily business within media & entertainment companies that can be re-engineered and optimized by cognitive RPA (i.e. customer service, post-production workflows, content discovery, etc).
- How adding AI to RPA allows organizations to automate processes dealing with audio, video, and other unstructured data
- How cognitive RPA delivers more than just cost-savings by helping organizations fine-tune their forward-looking strategies, become more agile, and improve IT and business resiliency.
We respect your privacy, by clicking “Download Your Copy” you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest subject to their privacy policy. You have the right to object. In addition, you will receive our e-newsletter, including information on related online learning opportunities. For further information on how we process and monitor your personal data, and information about your privacy and opt-out rights, click here.
Sponsored By:
