Advertising, Media, and Publishing (AMP) are some of the most rapidly changing industries, thanks to the continuous evolution of technology.
Artificial Intelligence (AI) and Machine Learning (ML)
AI and ML algorithms can help predict customer behavior, optimize ad placements, and enhance audience engagement.
Content Management Systems (CMS)
CMS technology helps in managing and streamlining digital content creation and editing, allowing for more efficient publishing processes.
Cloud Technology & Software as a Service (SaaS)
Cloud technology and SaaS models provide scalability, flexibility, and cost-effectiveness. They make it easier for businesses to adapt to changing market needs.
Chatbots & Voice Assistants
Automated tools like chatbots and voice assistants help in delivering personalized customer service, streamline customer interactions, and enhance engagement.
Programmatic Advertising
Programmatic advertising automates the buying and selling process of ad space, making it more efficient and less prone to human error.
Blockchain Technology
This technology provides transparency and reduces fraud in ad transactions. It brings trust and verification to the digital advertising supply chain by providing an unchangeable record of transactions.
Our team understands the complexities these sectors face and are ready to deliver innovative and impactful solutions. We leverage the latest technologies to help businesses thrive in the digital age, streamline their operations, and gain a competitive edge.
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Revenue Recognition
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Intangible Assets
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Accounting for AI and ML
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Cost Management
With the advent of new business models, like subscriptions, pay-per-click, programmatic advertising, and more, recognizing and accounting for revenues accurately can be complex. Companies must ensure they are compliant with accounting standards
Media and publishing companies often possess significant intangible assets. Assigning accurate and fair value can be challenging, especially considering their changing worth in the digital space.
As AI and ML become integral parts of operations, businesses are investing heavily in these technologies. However, determining the classification of the expenses can be complex.
With the introduction of technologies such as cloud computing and SaaS, companies need to account for ongoing expenses. These expenses can be difficult to forecast accurately and might require new cost allocation methodologies.