Deltec International Group Explains: AI in Marketing and Advertising

Deltec International Group Explains: AI in Marketing and Advertising

“Deltec Bank”
Deltec International Group, “Predicting user behavior is key to the future modeling”.

November 26, 2019 – Artificial Intelligence (AI) offers huge promise and opportunities for media companies. It has the capacity to impact everything from research to content curation and customer experience.

It is thought that AI will start influencing all parts of the media value chain helping the creators to become more creative and editors to be more productive. The objective is to take a lot of the effort out of finding relevant content and ensuring it is presented to the reader. This article looks at some of the key ways AI is infiltrating the marketing and advertising sector.

Marketing and Advertising

Machine learning, an application of AI that uses data to create automated and predictive processes, is accelerating the media sector. For example, algorithms can be trained the can extract text, video segments, audio, and images from any number of resources and make suggests on how to improve marketing or advertising efficiency.

Alibaba Luban is a fantastic example of how AI can virtually reinvent content duration. The platform is capable of generating approximately 8,000 different banner designs in only one second (https://www.alibabacloud.com/blog/alibaba-luban-ai-based-graphic-design-tool_594294). Imagine how long it would take a marketeer to do that volume of work! Of those designs, people are not able to tell the difference between generated and human work.

In a similar vein, IBM trained its IBM Watson technology to design a movie trailer based on classic audio and visual moments that had been tagged and classified (https://www.ibm.com/blogs/think/2016/08/cognitive-movie-trailer/). It was able to create a full movie trailer within only 24 hours. This would normally take weeks to produce.

Companies investing in this technology have far more time to focus on strategy and insight rather than purely creating their content.

Personalization

Consumers are demanding personalized experiences. This goes for all industries such as Amazon recommending products, Spotify giving them unique music or Netflix telling them the shows they need to watch. Even social media now displays very tailored content designed for each user and what they are likely to need and want to see.

According to Deltec International Group, “Predicting user behavior is key to future modeling”. As people become ever more connected through electronic devices, the need for fast delivery is ever greater. If a consumer can’t find what they want straight away, with so much competition on the market, they’ll simply go elsewhere. In some industries, businesses might only get 4 seconds to convince somebody to stay on their site.

Google mail (Gmail) now has a predictive text (https://thenextweb.com/google/2018/05/09/gmail-adds-a-predictive-type-feature-called-smart-compose/). As somebody writes an email, it is able to accurately predict what they will want to write next and shows the next sentence without the user having to write. Personalization often means reducing user effort at the same time.

Search and Classification

Let’s face it, there is a lot of media available online. A few years back, when talking about search, the only real option was to go onto Google or Bing and type in some keywords related to what you were looking for. AI and machine learning techniques have changed all of that. In fact, it is thought that in 2020, the market will be dominated be voice and image searches (https://quoracreative.com/article/voice-search-statistics-trends).

Google has evolved its platform in readiness for voice and image searching. Rather than having to type a keyword, users can upload a picture and image recognition technology will search for similar pictures. This uses complex tagging and identification of features. The impact on the media industry will be in the way they prepare content. Tagging images well will be vital to make sure their content gets seen.

An AI startup called ClarifAI (https://www.clarifai.com/) has a computer vision API designed to accelerate the classification of content in movies. If a human were to categorize everything in a movie, it might take hours or even days. The AI platform can do this in real-time. Similar technology will be used by Netflix and Amazon video to tag scenes and objects.

Experiences

Traditionally, paper and books were the main medium for sharing words and images. Over time, email became a primary channel and then we moved into social media, blogs, and vlogs. AI may well be heralding a new era of experiences for visualizing content with the booming force of augmented reality (AR) and virtual reality (VR).

Whilst initially these technologies sounded like gaming fads or novelties, over the last few years they have started being put to incredible practical use. Machine learning algorithms can now build complex holographic scenes, all through a pair of googles with a lens. Brand new markets will open up in the media sector.

As an example, fans can watch sports in a holographic view using VR headsets and get truly immersed in the game and atmosphere. This was massively publicized when Intel was able to launch such a service during the 2018 NFL Super Bowl (https://newsroom.intel.com/news-releases/intel-drones-true-view-super-bowl-liii/). Viewing sport from the point of view of an athlete takes experiences to a new level.

Data

One of the reasons that AI in media has only been adopted by a minimal number of pioneers is due to the need for data. In order to be accurate and effective, algorithms require a massive volume of data. Media companies need to have some mechanism to gather data at scale. That can include consumer data, content data, and operational data.

For example, consider how Netflix operates. To deliver recommendations effectively they needed data on consumer behavior whilst watching streams. It took them many years to get that right but now they have, Netflix leading streaming service. In fact, major shows are developed based on data, House of Cards being a prime example (https://www.idginsiderpro.com/article/3207670/how-netflix-built-a-house-of-cards-with-big-data.html). 

Summary

AI looks set to be at the forefront of creativity in the media industry over the next decade and beyond. From automating content to scraping media, personalized experiences, AR, VR, and enhanced search potential, there is a lot for those working in media to be extremely excited about. Adoption will be slow until the cost of investment reduces but it is important to start budgeting for the AI revolution.

References

https://www.clarifai.com/

https://www.ibm.com/blogs/think/2016/08/cognitive-movie-trailer/

https://www.alibabacloud.com/blog/alibaba-luban-ai-based-graphic-design-tool_594294

https://newsroom.intel.com/news-releases/intel-drones-true-view-super-bowl-liii/

Disclaimer:  The author of this text, Robin Trehan, has an undergraduate degree in Economics, Masters in international business and finance and MBA in electronic business. Trehan is Senior VP at Deltec International www.deltecbank.com. The views, thoughts, and opinions expressed in this text are solely the views of the author, and not necessarily reflecting the views of Deltec International Group, its subsidiaries and/or employees.

About Deltec Bank

Headquartered in The Bahamas, Deltec is an independent financial services group that delivers bespoke solutions to meet clients’ unique needs. The Deltec group of companies includes Deltec Bank & Trust Limited, Deltec Fund Services Limited, and Deltec Investment Advisers Limited, Deltec Securities Ltd. and Long Cay Captive Management.

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