A look at gaining market leadership by thinking beyond the initial problems you're trying to solve with AI

Summary:

  • Adopting AI across the entire organization should start small with tangible use cases
  • Companies should look at adopting a solution that's supported by an AI ecosystem that'll ensure they can move beyond their initial challenges to unlock new opportunities
  • AI will uncover new opportunities and challenges previously unknown, driving adoption into other areas of the business

Companies that want to adopt artificial intelligence (AI) typically try to solve too many problems up front rather than focus on specific use cases relevant to their immediate challenges. However, in searching for a way to solve their initial problems, companies should consider that the solution can serve as an entry point to complete AI adoption across the organization.

Adopting a solution supported by a rich AI ecosystem and potential technology partners can help organizations both solve immediate business needs and jumpstart greater transformation throughout the organization.

What is an AI ecosystem?
An AI ecosystem consists of two components: underlying technology that can support a wide variety of use cases, and partners that can further extend capabilities and opportunities. From a technology perspective, the ecosystem should have a clear foundation that everything operates through, such as an Enterprise AI platform.

With the right platform, organizations can easily integrate AI into existing systems, making it easier to adopt while having the capability to expand throughout other areas of the organization. Moreover, having partners ensures that there are no gaps in expertise, as well as discovering new opportunities. But it all starts by focusing on a specific use case that can jumpstart an AI practice.

Starting with tangible use cases
As mentioned, companies that approach Veritone have immediate challenges they are trying to solve. But the key is to not bite off more than they can chew and really home in on how AI can help them today with proven use cases. For example, in the media and entertainment space, many of our clients approach us because they have problems with how they create, manage, distribute, and monetize content.

With the explosion in content creation, especially with formats such as audio and video, companies have realized that their legacy systems cannot support the scale, speed, and efficiency they need to remain competitive. And if they are an organization that's been around for many years, their archive might include aging media formats-that was the case for the San Francisco Giants

In a recent video for the Business Ready on AWS series, Veritone president Ryan Steelberg discussed how the San Francisco Giants used Veritone Digital Media Hub, an AI-enabled digital asset management solution (DAM) solution, to solve this problem.

With a 60-year-old archive that included old film deteriorating in storage sites, the Giants needed to digitize their content so they could preserve it and streamline their content management workflow. Though they were initially seeking a DAM solution, the Giants were also able to see the benefits of AI because Veritone solutions are built on Veritone aiWARE, a hyper-expansive Enterprise AI platform.

With this native integration, the San Francisco Giants instantly received access to an ecosystem of more than 300 best-of-breed AI models that they can use on demand, including translation, transcription, object and logo recognition, and much more. With the support of the Veritone AI ecosystem, they have been able to unlock the full potential of their content.

AI expansion into other areas of the business
Now that organizations like the San Francisco Giants are in the Veritone ecosystem, they can explore opportunities to extend their capabilities like some of our other media customers. For example, one of the largest audio groups in the United States, specializing in radio and now podcasting, started out with the need to automate tracking their live content.

However, shortly after adopting a solution to solve this initial problem, they realized that they could use AI to provide effective ad attribution for their radio stations, something that has put traditional radio behind digital channels that offer rich performance metrics. Now, they can easily correlate an increase in web traffic with a radio ad to help optimize performance while winning and retaining advertisers.

Extending their capability with AI did not end there. With the potential that synthetic voice offers in the audio space, from translating content into other languages using the host's voice to reducing studio time for on-air talent, they adopted Veritone Voice to put them ahead of their competitors in creating fresh content and positioning them for a potential metaverse play in the future.

A flexible AI ecosystem
Organizations often perceive AI as something they know they need, but they don't know where to start. As outlined above, adopting AI doesn't mean a heavy lift that involves a total rip and replace of current systems. We've seen most companies start small, adopting a solution to solve an immediate problem. Once adopted, adjacent capabilities and opportunities quickly emerge that allow them to roll out even more AI capabilities to other parts of the organization.

And this is true for all industries outside of media and entertainment, including the energy and government sectors. By leveraging Veritone aiWARE as the foundation to your AI journey, your organization will benefit from multiple entry points with industry-focused solutions and pre-built applications so that you can start adopting AI with minimal disruption to current operations. Supported by a rich customer and partner network, Veritone will continue to help forge new partnerships beyond the technology involved, providing everyone in our ecosystem a means to gain or maintain a competitive edge.

Join Our Ecosystem Today

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Disclaimer

Veritone Inc. published this content on 22 March 2022 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 08 April 2022 13:59:06 UTC.