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Ahead of the curve: How generative AI is revolutionizing the content supply chain

Global adoption of generative AI is just across the corner and it’s critical for marketing organizations to know and leverage this space to stay competitive. With demand for content expected to extend in the subsequent few years, corporations might want to create more content faster to satisfy customer expectations and business needs. It will not be at all times clear to understand how these improvements manifest themselves: consult with generative AI and the content supply chain.

Get the study: The revolutionary content supply chain

A content supply chain brings people, processes and technology together to effectively plan, create, produce, publish, measure and manage content. It encompasses an end-to-end content journey – a journey that may enable faster time to value. We know that integrating generative AI into the content supply chain will enable corporations to supply more personalized content faster and more efficiently. So what’s stopping corporations from deploying generative AI content across their content supply chain?

Leadership and the content supply chain

The emergence of generative AI raises several questions and concerns amongst business leaders. In recent years, corporations have been concerned about their ability to create and deliver content quickly enough to satisfy customer expectations, and now that generative AI could solve these problems, one other query arises: Can we be confident? that AI tools and technology empower employees? Executives world wide are experiencing a combination of emotions in relation to implementing and adopting generative AI. There is excitement, curiosity and slightly fear – sometimes at the identical time. Most of us are conversant in the term “FOMO,” or the fear of missing out. But people also feel “FOGI” in relation to generative AI, i.e. fear of intrusion.

The FOMO these organizations face is expounded to their inability to create content quickly enough to satisfy expectations or wasting money on tools that won’t prove to be as efficient develop into as originally assumed. The FOGI concern is about trust and whether AI tools and technology will be trusted to empower employees.

This blog and study by the IBM Institute for Business Value The goal is to reply these inquiries to help leaders and their employees higher understand the changing landscape of content creation and harness the ability of generative AI models in relation to optimizing their content supply chains.

A brand new strategy to create and manage content

Every recent concept or major change brings with it some hesitation and pushback. Change will not be linear; It requires strategic change management to administer the transition. Both employees and managers have difficulty adopting a brand new way of pondering or working after they have worked the identical way for years. Modernizing a workflow to introduce a content supply chain means disruption and uncertainty. But it also means creating an end-to-end content journey that’s fast, accurate and ultimately meets customers at the extent of their expectations.

Change management is an important a part of adopting a brand new content supply chain and gaining confidence in the method. These recent technologies can bring loads of power and a certain quantity of uncertainty. However, adopting generative AI and a content supply chain could be a huge opportunity for your small business.

Survey respondents are “very aware” of where their content processes should be improved. 88% said they need a better strategy to access approved assets for cross-app activation, and 79% wish to experiment with content, audience and experience variations to extend customer engagement and experience.

As described within the IBM Institute for Business Value study, an ad hoc “Frankenstein”-like system that includes a wide range of platforms and tools can depend on a consolidated system and operating model to satisfy the increasing demand for an increasing number of data integration and content to satisfy energy production and intelligent automation.

Regardless, the outcomes of the study show that while most respondents are already engaging with generative AI, a really small number – just 2% – are optimizing the technology. Companies are in search of recent approaches to managing their content supply chain, and generative AI embedded in platforms like Adobe Firefly could possibly be probably the most impactful.

Understanding the potential of generative AI

Generative AI will not be just intended for a particular area of ​​the corporate. Instead, it could possibly help content creators in lots of functions resembling marketing, customer support, product development, operations, and more. The study found that 95% of respondents consider that generative AI shall be a game-changer. And nearly all CMOs surveyed consider that generative AI will unlock marketing teams from mundane tasks in order that they can concentrate on more creative tasks.

Content supply chains and generative AI are still of their infancy, but it surely's vital to strengthen your ecosystem before committing. For these recent technologies to achieve success, different business areas and stakeholders should be brought together to pursue a standard vision. More than 80% of respondents say they’re already working with generative AI. Furthermore, almost three-quarters (74%) say they’re still in pilot mode, while only 1 / 4 have moved beyond the pilot phase and begun implementation.

In addition to internal ecosystems, it is usually vital to strengthen your external ecosystem in order that external parties – resembling Adobe, IBM and AWS – can work together to enable generative AI to speed up a content supply chain. In particular, the study notes that many corporations are taking a hybrid approach to AI, combining their proprietary models with best-in-class SaaS platforms powered by AI and public and open source models. It's no surprise that AI adoption is so popular given its big selection of activities across the content supply chain.

To get probably the most profit from generative AI, it's vital to take the time to construct a solid foundation. It's clear that there remains to be loads of work to be done: only 5% of respondents said they’ve an organization-wide approach to best practices and governance for generative AI, and half of organizations are still within the means of establishing these measures.

Creating a solid foundation for generative AI

We've identified the advantages that generative AI offers and the potential it could possibly bring to rework the content supply chain. But big changes like this include potential risks, and any organization concerned about generative AI should take steps to mitigate these risks.

The IBM Institute for Business Value study found that 43% of survey respondents admitted that their corporations haven’t established an AI ethics board. The study points out that along with ethical risks, cost risks must even be taken into consideration. Companies must weigh the impact that content supply chain expansion driven by generative AI could have on their back-end technologies. If corporations want to supply more content, more high-performance computing is required, which in turn could increase on-premises computing costs.

These risks should be evaluated within the context of the advantages and trust within the generative AI tool your organization plans to implement. Building an end-to-end enterprise content supply chain is one in every of the most important advantages, but additionally one in every of the most important challenges, with ownership being a key point of contention. Respondents' answers varied widely when it got here to who was the first owner of their content supply chain.

It is subsequently not surprising that many respondents said they were concerned about the potential for organizational silos, complex interest groups and competing agendas. The lack of change management strategies for brand spanking new processes and tools is obvious across all organizations and should be addressed for the content supply chain to achieve success. Instead of acting quickly to realize positive results and ultimately derailing this long-term effort, corporations have to take preliminary actions at the necessities gathering stage. This creates trust amongst employees, who then help manage the transformation inside their teams and across the corporate.

Revolutionizing the content supply chain

The disruptive nature of generative AI can seem overwhelming, but through long-term change management and trust, corporations can transform their content supply chain and be the catalyst for a essential change in corporate culture.

The study highlights the advantages of the content supply chain. It gives readers and customers a greater understanding of how generative AI can improve outcomes and overcome a few of the operational challenges that hinder progress.

Transforming the content supply chain touches many functions and requires collaboration from all leaders. The study provides an in depth breakdown of practical actions for key C-level executives, including CMOs, CTOs and CFOs, to organize them for content supply chain improvements.

Generative AI is changing the world and now could be the time to determine your organization as a frontrunner in your industry. Start by leveraging technology and ensuring your organization has the proper internal and external ecosystems in place to administer the transformation. Breaking down silos isn't easy and won't occur quickly, but corporations that take the more calculated route will lay the inspiration for innovation that may sustain with the pace of change caused by generative AI. This is only the start.

Learn more about our Adobe consulting services. Contact us to learn more about how we are able to modernize your content supply chain with GenAI


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