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The ROI of Data Analytics and AI Training: Success Stories from Media Companies

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Data Society
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September 24, 2024
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The promise of significant enterprise benefits beckons media companies to invest in data and AI initiatives. According to research, generative AI alone can deliver an estimated $80-130 billion in productivity gains across business functions in the media and entertainment industry. However, because capturing the full value of data and AI requires teams with the right skills, it is important to measure the impact of your organization’s investment in data analytics and AI training.

Reaping the Rewards of Training in the Media Industry

How your company defines success in workforce training depends upon the organizational needs and goals you want training to support. Examples of real training outcomes that have brought considerable value to media and telecommunications companies reflect some of these diverse organizational objectives.

 

Delivering a Custom Program for Best-in-Class Enterprises

A leading media, entertainment, and communications company wanted to leverage its abundant data resources more effectively. A training provider partnered with the company, working with the client's SMEs to develop and deliver an annual 36-week training academy that provided learners with instructor-led courses, workshops, and instructor office hours. This program also provided learners with an opportunity for applied learning through capstone projects based directly on real business use cases and data. Learners developed skills ranging from fundamental data preparation, clustering, and classification models to text mining, deep learning, and AI, supporting innovation across the company. In addition, learners produced capstone projects that helped them develop skills while delivering real value to their organization through analyses including predicting customer churn, clustering and optimizing cable packages, and forecasting customer downgrades and upgrades.

Mapping Broadband Access Coverage in Rural Communities

A government communications agency charged with providing reliable internet service to rural communities faced the challenge of reducing errors that led to resource waste and inefficiencies. The agency sought training to help its research team identify broadband access coverage gaps with greater accuracy. A training provider delivered an intensive three-week training program that equipped agency researchers with the skills in deep learning and AI to improve a tool they used for estimating the distances between addresses and towers. As a result, the agency can more effectively and accurately analyze data and satellite imagery to improve services.

Enabling AI-Powered Innovation Across a Media Workforce

A diverse global media and publishing company wanted to empower growth and innovation by rapidly upskilling its teams to incorporate generative AI and prompt engineering. The company planned a series of training programs tailored to staff in more than a dozen different divisions across the enterprise, enlisting a training provider’s expertise in instructional design and training delivery to support the development, logistics, and implementation of the program on an accelerated timeline. These initiatives culminated in the successful deployment of virtual, instructor-led training to 7,000 employees and the establishment of a thriving partnership for ongoing training efforts.

Investing in a Prosperous Future

The ROI of data analytics and AI training will vary from company to company based on a broad range of considerations, including existing resources, goals, and needs. For this reason, your organization should conduct a thorough assessment to gain insights into these areas as part of the vetting process for prospective training programs. Key questions to consider include:

  • What use cases for data analytics and/or AI will my organization develop and implement?
  • What teams and roles will be involved in these programs?
  • What metrics will my organization use to measure these programs’ success?
  • How can training support my organization’s long-term strategies?

The financial gains media companies can realize through their investments in data and AI training span both revenue increases and savings. Additionally, organizations who have a long-term objective of achieving enterprise-wide data maturity stand to see significant ROI manifest in teams equipped to reach this goal. Your organization’s investment in effective training today is an investment in your workforce’s capacity to meet the business challenges of tomorrow, discover new opportunities to improve workflows with data and AI, and drive future innovation.

At Data Society, we understand that media companies need to get real results from their workforce training investments. Our tailored training programs can help your teams build the data literacy and AI expertise they need to drive impact and support your organization’s long-term data strategy. By empowering your workforce with the skills to navigate these new technologies responsibly, we can help prepare your organization to seize the opportunities AI and data present—while mitigating the risks. Let us help you future-proof your media company and maintain your competitive edge.

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