Tag: artificial intelligence

March 29, 2023 /

It seems like each and every day now a new AI announcement is made. Given all of the recent updates I wanted to revisit my predictions for AI in Programmatic Media and follow up with a part 2. Below you will find more areas in Programmatic Advertising that I foresee being effected by AI.

AI-Powered Ad Targeting

One of the most significant benefits of AI in programmatic media is its ability to optimize ad targeting. With the help of AI algorithms, digital marketers can analyze vast amounts of data to identify patterns and trends in user behavior. By using this information, they can create more precise and effective ad campaigns that reach the right people at the right time.

AI can also help to overcome some of the challenges of programmatic media buying. For example, one of the most significant challenges of programmatic media buying is ad fraud. Ad fraud is when fake or bot traffic is used to inflate the number of ad impressions or clicks. AI technology can help to detect and block fraudulent traffic, reducing ad fraud and improving the overall quality of ad impressions.

AI-Generated Creative Assets

Another exciting development in the use of AI in programmatic media is the use of AI-generated creative assets. AI algorithms can analyze user behavior and create personalized ads that are more likely to resonate with the target audience. AI can also generate ad copy, imagery, and even videos. By using AI-generated creative assets, digital marketers can save time and resources while still delivering engaging and effective ad campaigns.

AI and Data Analysis

AI is also useful in programmatic media for analyzing vast amounts of data. Digital marketers can use AI algorithms to analyze data in real-time and make informed decisions about ad targeting and optimization. By using AI to analyze data, digital marketers can identify patterns and trends that humans may miss, enabling them to optimize their ad campaigns for maximum effectiveness.

AI and Privacy Concerns

As AI continues to play a more significant role in programmatic media, concerns around privacy and data protection have become more significant. AI algorithms rely on vast amounts of user data to function correctly, which has raised concerns about data privacy and security. Digital marketers must be mindful of these concerns and take steps to protect user data while still delivering effective ad campaigns. Watch for cookieless to become a trending conversation towards the later part of this year as we prepare for Google to either flip the switch or delay once again.

AI is transforming programmatic media buying by optimizing ad targeting, creating personalized ad campaigns, and analyzing vast amounts of data in real-time. As AI technology continues to evolve, the future of programmatic media buying is expected to become even more efficient and effective. However, digital marketers must also be mindful of privacy and data protection concerns as they leverage the power of AI in their ad campaigns. Overall, AI is an essential tool for digital marketers in programmatic media, and its continued evolution promises to revolutionize the digital marketing landscape.

Author’s Note: The featured image at the top of the page is a visual depiction of a Neural Network.

March 27, 2023 /

While so many people are listing the roles that AI will be replacing over the next few years, I thought it would be fun to identify some of the new opportunities AI will create for us all. Artificial Intelligence (AI) is an industry that is experiencing rapid growth, which is transforming our lives and the way we work. As AI continues to make strides, it is generating novel career opportunities that necessitate a combination of technical and non-technical competencies.

AI is currently a nice-to-have for many organizations; shortly AI will need to be infused in all companies in order for them to remain efficient. The future is not necessarily about going to work at an AI company, but more less going to work for a company where AI is infused. This new AI infusion to help companies become more efficient will soon have roles for people with experience and expertise using AI. In this post, we will explore the premier AI jobs that will be in high demand in the coming years and provide insights on how to equip yourself for them.

Data Scientists

Data scientists are accountable for scrutinizing and construing intricate data to help businesses make informed decisions. With the growth of AI, the clamor for data scientists with AI proficiency is escalating.

To become an AI data scientist you will need to learn the rudiments of data science and statistics. You can acquire expertise in programming languages such as Python, R, and SQL. Concentrate on machine learning algorithms and techniques. Stay abreast of the most recent AI trends and technologies.

AI Software Engineer

AI engineers develop AI models and applications by capitalizing on machine learning algorithms, deep learning models, and neural networks. In addition, they also construct and maintain AI infrastructure and software systems.

To become an AI engineer you will likely need to attain a degree in computer science, software engineering, or a related field. One way to advance in this field is to take on projects and jobs that help you to build your proficiency in programming languages such as Python, Java, and C++. Forge a specialization in machine learning, deep learning, and neural networks. Make sure to stay up to date with the latest AI frameworks and tools such as TensorFlow and PyTorch.

AI Ethicists

AI ethics is becoming an increasingly significant field as AI is being incorporated into more domains of society. AI ethicists are responsible for designing ethical and responsible AI practices and policies.

To become an AI ethicist a degree in ethics, philosophy, or a related field would be incredibly helpful. Acquire knowledge in AI and machine learning / deep learning and stay up to date with the latest AI regulations and policies. Be sure to develop critical thinking and problem-solving skills along the way.

Chatbot Designers

Chatbots are becoming more ubiquitous in customer service, marketing, and other fields. Chatbot designers are accountable for designing and training chatbots that can interact with humans in a natural and captivating way.

To become a chatbot designer you will need to acquire knowledge in natural language processing and machine learning or deep learning AI. You will also need to develop expertise in programming languages such as Python and JavaScript. Be sure to stay up to date with the latest chatbot frameworks and tools such as Dialogflow and Botpress. Continue to develop strong communication and interpersonal skills.

Autonomous Vehicle Engineers

Autonomous vehicles are an expanding field that is expected to transform transportation. Autonomous vehicle engineers are responsible for developing and testing software and hardware systems that enable self-driving cars and other autonomous vehicles.

To become an autonomous vehicle engineer obtaining a degree in computer science, electrical engineering, or a related field is critical. Acquired knowledge in robotics, control systems, and artificial intelligence will be essential to be competitive in the job market. Be sure to compliment this by developing an expertise in programming languages such as C++ and Python. Stay up to date with the latest autonomous vehicle technologies and trends.

AI Sales and Marketing Specialists

AI is revolutionizing the sales and marketing industries by enabling more targeted and personalized campaigns than ever before. AI sales and marketing specialists are responsible for developing and implementing AI-powered strategies that optimize customer engagement and conversion.

To become an AI sales and marketing specialist earn a degree in marketing, business administration, or any related field. Your working knowledge in AI, machine learning and deep learning will be critical for such roles. Develop expertise in marketing automation platforms such as HubSpot and Marketo. Understand your competitors and how leaders like Google, TikTok and Facebook are using AI. Stay up to date with the latest AI-powered advertising and analytics tools.

As AI continues to advance, many jobs will be changed; while others will be eliminated all together. This opportunity will also create new novel career opportunities that require a combination of technical and non-technical competencies. From data scientists to AI sales and marketing specialists, the demand for AI-related jobs is on the rise. By acquiring the right skills and staying up to date with the latest trends and technologies; you can prepare for a prosperous career in an AI infused company.

March 22, 2023 /

Artificial Intelligence (AI) has become an integral part of programmatic media buying. Its ability to analyze vast amounts of data and automate complex tasks has made it a valuable tool for digital marketers. With the evolution of AI technology, the future of programmatic media buying is expected to be more efficient and effective.

AI and Programmatic Media

Programmatic media buying involves the use of technology to automate the buying and selling of advertising inventory. It uses algorithms to analyze data and determine the best advertising opportunities in real-time. AI technology has been used to enhance programmatic media buying by automating the process of ad optimization and targeting.

The Role of AI in Programmatic Media

AI plays a crucial role in programmatic media buying. It can analyze large volumes of data to identify patterns and trends that humans may miss. By using AI, digital marketers can optimize their ad campaigns in real-time, ensuring that they reach the right audience at the right time. AI can also help to reduce ad fraud by detecting fraudulent traffic and blocking it.

AI and Personalization

One of the most significant benefits of AI in programmatic media is its ability to personalize ad campaigns. With AI technology, marketers can analyze user behavior and create personalized ads that are more likely to resonate with their target audience. By delivering personalized ads, digital marketers can increase the chances of conversion and maximize ROI.

AI and Creativity

Although AI is primarily used for data analysis and optimization, it can also play a role in creativity. AI technology can be used to generate ad copy, imagery, and even videos. By using AI-generated creative assets, digital marketers can save time and resources while still delivering engaging and effective ad campaigns.

AI and the Future of Programmatic Media

As AI technology continues to evolve, the future of programmatic media buying is expected to become even more efficient and effective. The use of AI will enable marketers to optimize their ad campaigns in real-time, personalize ads to specific audiences, and reduce ad fraud. AI technology will also enable marketers to create more engaging and effective creative assets, reducing the time and resources required for ad campaign development.

The Future of AI in Programmatic Media: Key Takeaways

  • AI plays a crucial role in programmatic media buying, automating the process of ad optimization and targeting.
  • AI technology can analyze large volumes of data, identifying patterns and trends that humans may miss.
  • AI enables marketers to personalize ad campaigns and create more engaging creative assets.
  • The future of programmatic media buying is expected to become even more efficient and effective with the evolution of AI technology.

In conclusion, AI has become an essential tool for digital marketers in programmatic media buying. Its ability to analyze vast amounts of data and automate complex tasks has made it a valuable asset in optimizing ad campaigns and reducing ad fraud. The future of programmatic media buying is expected to be even more efficient and effective with the continued evolution of AI technology. As AI continues to play a more significant role in digital marketing, it will be essential for marketers to keep up with the latest AI trends and technologies to remain competitive in the digital marketplace.

Author’s Note: The featured image at the top of the page is a visual depiction of a Neural Network.

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