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Unveiling the role of AI and ML in empowering content creators globally – Digital Transformation News

By Nitesh Agrawal

Oftentimes I marvel at the transformative journey that Artificial Intelligence (AI) has undertaken, reshaping various facets of our lives and opening up new avenues for creativity and innovation in the dynamic landscape. While AI holds the immense promise of revolutionising industries, we need to underscore the indispensable role of human creativity in the responsible and efficient use of groundbreaking technology. In a recent report, the global AI video generator is projected at $1082.7 Bn by 2027, which shows the influence it has over content creators to leverage creativity.

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I see it as a transformative journey, dispelling common misconceptions about AI while presenting it as a powerful tool designed to enhance human intelligence rather than a challenge to our talented content creators. In this narrative, the algorithms stand as smart assistants, diligently refining the editing process to catalyse creativity amongst content creators. Many, if not all, at some point, turn towards ChatGPT as a reference tool, mainly because it empowers content creators by generating ideas, stories, and articles based on user-defined parameters. With its natural language processing capabilities, ChatGPT provides valuable assistance, enhancing the creative process and offering inspiration for engaging and relevant content creation.

GameChanger

AI’s contribution goes beyond content creation; it extends to automating the creative process and enhancing engagement, especially within the captivating realm of sports broadcasting. AI video editors act as dynamic assets, not just elevating viewership but also boosting brand recognition. Its analytical prowess aids in selecting engaging moments and proposing editing styles to enhance the visual appeal as per current trends is akin to the cherry on the cake. Major global sporting leagues are leveraging generative AI to create personalised content tailored for its fanbase. Additionally, it assists content creators in streamlining teaser production and accessing a wide range of meta-tags for efficient solutions.

Leverage AI

Brands leverage image generation tools like DALL-E 2 are actively employed in advertising. For instance, Heinz used an image of a ketchup bottle resembling its own to illustrate how AI interprets ‘ketchup’. Nestle applied AI to enhance a Vermeer painting, promoting one of its yogurt brands. Content creators utilise the remarkable advantages of AI and ML in their promotions. The editors offer a competitive edge, facilitating efficient branding and simplifying distribution through features like auto-flipping. Additionally, in the exciting world of sports, AI even extends its capabilities to craft personalised training routines for individual players, addressing their unique strengths and weaknesses. Personalised training accelerates athletes’ growth, taking our sports promotions to new levels. Trainers and coaches at U.S. Soccer, a National Governing Body under the United States Olympic and Paralympic Committee, employ AI technology to swiftly identify and monitor player movements and ball positions in real time to help study performance metrics and plan training.

Tailored content works

AI-driven content curation tools leverage Machine Learning to analyse user preferences, dynamically adjusting and refining algorithms based on processed information. For instance, a model observing a user’s reading habits may learn their preference for sports news over entertainment, tailoring the content feed accordingly. Predictive analytics extends this capability, enabling AI to forecast future actions, such as predicting the next binge-worthy show on a streaming platform based on a viewer’s history.

Slam dunk of content creation

The transformative impact of AI and Machine Learning (ML) becomes even more vivid, illustrating how it reshapes dynamics, propels innovation, and expands achievable boundaries. Content creators leverage AI to offer validated insights during games, captivating audiences with statistical backgrounds and play forecasts. Decathlon uses machine learning to customise the shopping journey by examining customer information, such as favourite sports and previous engagements. The recommendation engine offers relevant product and event suggestions, enhancing user engagement.

Acknowledged on a wide scale, the AI’s role has been inextricably linked with the creation of highlight reels. Additionally, real-time video editing technology enriches the viewing experience with instant replays and captivating descriptions using computer vision algorithms.

The efficiency gained through AI-driven automation saves time and costs of voice recognition and facial identification. AI and ML have initiated a transformative impact on the creative landscape, empowering our creators to enhance efficiency, productivity, and imaginative capabilities across diverse fields, much like athletes improving their performance.

As an epilogue, In a report by Influencer Marketing Factory, 94.5% of creators stated that they primarily utilise AI for content editing and generating text and captions to enhance accessibility. They hardly see it as a replacement, but as a valuable ally, streamlining processes and providing suggestions to foster greater creativity and efficiency in content creation and distribution. In this dynamic landscape, the collaboration between AI and human ingenuity emerges as a powerful force, propelling our company, and the exciting world of sports, towards unprecedented heights.

The author is senior VP Engineering, VideoVerse

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