The 6 Biggest AI Marketing Challenges & Their Solutions

Aditya Chakurkar | July 8, 2021 | 863 views

AI Marketing challenges
More and more businesses are utilizing modern-day opportunities that Artificial Intelligence (AI) brings to the digital world. Perhaps, it is the most necessary step for the companies to stay competitive in 2021 and beyond.

With the rise of technology, AI-powered marketing platforms are becoming more common and simpler to use. However, this does not mean that they do not have any challenges. A survey conducted by Teradata, a data analytics firm, reports that around 80% of enterprise-level organizations have already embraced some form of AI. Out of them, approximately 32% of businesses use AI algorithms for marketing purposes. However, more than 90% of these companies have already anticipated significant barriers to adopt and integrate AI.

In this article, we shed light on the six biggest challenges in AI marketing. It will help you act and avoid common problems if you encounter such roadblocks when integrating AI into your marketing strategy.

Here are some highlights of this article:
  • Many popular media sources have created hype around AI. Therefore, people, in general, don’t trust it.
  • There isn’t enough skilled workforce to fill AI-related positions in organizations.
  • AI software needs high-quality data. Unfortunately, maintaining such data quality is not that easy.
  • AI software needs significant investment.
  • Many small businesses lack IT infrastructure resources. Cloud services help them overcome this problem.

As you can now understand, most challenges in AI marketing revolve around business alignment, data, or people. While every organization varies and will face the AI adoption process differently, there are a few common challenges in AI marketing you should be aware of. So, without further ado, let’s take a look at the most common AI challenges that digital marketers face.

Lack of Knowledge of AI Systems

When it's about total AI implementation, your company’s management must have a deeper understanding of the role of AI in Digital Marketing, the latest AI trends, data challenges, and all other essential aspects.

However, many marketers lack a proper understanding of the use of AI technologies in marketing. On top of this, unfortunately, AI comes with a variety of fears and myths. While some people think they need an in-house data science team for complete AI adoption, others believe in those sci-fi fantasies showing how smart robots can end humanity. Insufficient knowledge of AI is one of the biggest challenges in AI marketing. It hinders the AI implementation in several ways and ultimately delays the success.

How to get rid of this? First things first — start by acquiring knowledge. It might sound a bit demotivating, but we do not mean you have to be a data scientist for this. You can look at other giants in the industry, carefully analyze how they are deploying AI into their business, and act accordingly. Next, know more about the current AI technologies for marketing — you can either DIY or get help from an expert. Once you have adequate knowledge about it, you know what to expect from AI and what not.

Challenges in Integration

Deployment and integration of new technology requires skills. Integrating Artificial Intelligence into your business is not an easy task. It is a complicated job and requires proper knowledge. You first have to set up interfaces and other elements to address all your business needs. Such steps may require complex coding. Developers must consider feeding the data into the system, labeling, data storage, data infrastructure needs, and much more while setting up the elements.

Then comes the model training and testing part. It is necessary for the following reasons:
  • To check the effectiveness of your AI
  • Develop a feedback loop for constant improvement
  • Data sampling for reducing the stored data and run models even faster

The biggest challenge here is — how to confirm if it's working correctly? And, is it worth the money you are investing?

Arguably, the only and the most effective way to overcome this hurdle is to work closely with your vendor to ensure that everyone is well aware of the process. Plus, there should not be any limitations in the vendor’s expertise. They should be capable of guiding you beyond building the AI models.

When you implement Artificial Intelligence with the right strategy, you indirectly reduce the risk of failure. And, once you successfully implement AI into your system, you will still have to educate your marketers to use it efficiently. In this way, your people can understand how to interpret the results they receive by proper implementation and effective use of the AI model.

Poor Data Quality or Lack of Data

High-quality data is essential for Artificial Intelligence. Any AI system will come up with poor results if you provide it with insufficient or poor-quality data.

As the Big Data world is evolving every day, businesses are gathering vast amounts of data. However, this data is not always up to the mark. It's either insufficient or not good enough to drive a profitable AI marketing strategy. Such data-related challenges in AI marketing prevent companies from capitalizing on Big Data.

For this reason, as a business, you should always make sure the data you get is clean and rich in quality. Otherwise, you will experience unsatisfactory results from the AI, and it will negatively influence the overall success of your AI-powered marketing campaigns.

Budget Constraints for AI Implementation

Many companies lack the necessary budget for implementing AI into the system. Even though AI has the power to provide impressive Returns of Investment (ROI), hefty investments are still one of the biggest challenges in AI marketing, especially for smaller and mid-size companies where the budgets are already stretched.

AI-powered platforms come with high-performance hardware and complex software. And, the deployment and maintenance of such components are costly. Such budgeting challenges in AI marketing can limit the opportunities for businesses to utilize AI technology to the fullest.

Thankfully, this is now becoming a thing of the past as many affordable AI vendors are coming ahead for the rescue. With them, you do not have to invest in developing in-house solutions. Moreover, they allow you to implement AI tech in a relatively cheaper and faster way.

Privacy and Regulations

Artificial intelligence is still new to this world, and it's growing at an incredible pace. Chances are that the rules and regulations surrounding AI will change and tighten up over the coming days.

The data collection and use of data policies already impact businesses that collect and use data from the customers based in the European Union and drive their Artificial Intelligence systems. The EU implemented GDPR in 2018, and it has made the data collection, and data usage rules even stricter for companies. Ultimately, companies now have to be extra careful while collecting and using customer data.

Furthermore, several businesses are restricted from storing the data offsite for regulatory purposes. This means that they can no longer utilize cloud-based AI marketing services.

Constantly Changing Marketing Landscape

AI is a new marketing tool and can bring disruption to traditional marketing operations. For this reason, marketers evaluate how AI can create new jobs and, at the same time, replace older jobs.

One survey suggests that AI marketing tools are more likely to replace the jobs of around 6 out of 10 marketing analysts and marketing specialists over the coming years.

Overcoming The Challenges in AI Marketing

Yes, such challenges in AI marketing can sometimes slow down your campaigns and affect the outcomes of your AI-driven software. But fortunately, there are a variety of alternative solutions.

You need to consider the following steps to rule out the common challenges in AI marketing we discussed earlier.
  • Develop a target oriented marketing strategy
  • Get the money before you roll out AI in marketing
  • Train your marketers
  • Recruit the right talent

Developing business cases, recruiting talented marketers, measuring the ROI, and getting the required investment — probably, none of these steps sound interesting. But, when it is about the reality check of your AI marketing strategies, they are absolute methods that can open the door to actual Artificial Intelligence payoffs.

In the end, every company's responsibility is to make sure that they are using the AI system responsibly so that they can benefit their customers in the best way possible.

Frequently Asked Questions

How does AI affect marketing?

AI helps marketers to spot the latest internet trends and predict them for the future. Such trends are necessary to learn the current marketing facts and eventually help with significant tasks such as budget allocation and setting up the target audience.

Plus, AI effectively reduces the money and time usually spent by companies on digital advertising. Simultaneously, it leads businesses towards smarter and more targeted advertising campaigns. As a result, many companies have implemented AI into their digital marketing strategies as it can increase sales and save money at the same time.

On a bigger scale, AI has an impact on global trends, sustainability, and scalability. Even government issues, major public concerns, and major cities around the globe have seen positive effects of AI. AI can make the world a better place if used in the right way!

How is AI used in digital marketing?

Companies are utilizing some stand-out developments for improving the customer experience with the proper use of AI. For example:
  • Image recognition technology
  • Predictive and targeted content
  • Content creation
  • Chatbots

With these, AI enhances customer support, and provides more relevant and targeted content to the customers.

Why is artificial intelligence critical in marketing?

With the correct use of Artificial intelligence, businesses can collect, analyze and store a large amount of data. As a result, AI is the best way to learn the latest marketing trends and incorporate them into your marketing strategy.

In general, Artificial Intelligence has the power to help your company reach potential customers and provide them with easy access to make purchases.

Spotlight

ThinkPalm Technologies Pvt. Ltd.

ThinkPalm Technologies is an Enterprise, Mobility and Communication solutions provider with ISO 9001:2015 certification. A new age product engineering and software services company, we cater to multiple industry segments such as Retail, Telecom, Media & Entertainment and Manufacturing through a combination of in-house solutions and 3rd party services for our customers.

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8 Epic App Innovations that Help Your Business Stand Out

Article | July 26, 2022

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The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. 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Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. 2.2 Augmented and Virtual Reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. 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The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. 2.7 Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. 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That's a must for a successful launch of a mobile app. Making the software development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. 3. Long-Term Benefits of Mobile App Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. 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With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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ThinkPalm Technologies Pvt. Ltd.

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Kore.ai Introduces Generative AI, Large Language Models in XO Platform V10.0

Kore.ai | January 24, 2023

On January 23, 2023, Kore.ai, the leading conversational AI platform and solutions firm, announced the release of its Experience Optimization (XO) Platform Version 10.0. The upgrade makes integrating with global enterprise systems easier and more open, thereby allowing enterprises and individuals to employ intelligent virtual assistants with little to no training. In addition, it can be continually scaled and optimized for high performance. The ability to support large language models (LLMs) like OpenAI's GPT-3 and other generative AI technologies is one of the primary features Kore.ai has added in this edition, greatly simplifying the design, management and development of virtual assistants. The cutting-edge zero-shot and few-shot models take advantage of LLMs and generative AI and eliminate the initial training data requirement. These technologies reduce the efforts required to efficiently produce intelligent and intuitive virtual assistants by assisting in design conversations, creating training data and test data, and rewriting responses with emotion. Kore.ai is at the leading edge of this technology in this exciting new era for virtual assistants. Additionally, the 10.0 version of the platform offers over 100 pre-built integrations with enterprise applications, as well as a new dashboard for conversation insights that can proactively uncover new opportunities for automation and flag training discrepancies. The addition of an enhanced feedback module tied to conversation interactions enables businesses to correlate insights with discussions better. Such capabilities facilitate the automation of procedures and the improvement of client interaction for large organizations. Kore.ai provides a variety of AI-first industry solutions, such as HealthAssist, BankAssist, and the recently released RetailAssist, as well as function-specific assistants such as HR Assist and IT Assist, and contact center-focused AgentAssist and SmartAssist, all of which are built on its XO platform and inherit the enhanced features developed for this release. Kore.ai is one of the first conversational AI companies to leverage LLMs for specialized knowledge AI use cases. The V10.0 release will help more than 350 Fortune 2,000 organizations and an expanding ecosystem of developers eager to create virtual assistants on the XO platform. About Kore.ai Founded in 2014, Kore.ai is a leading conversational AI-first platform and solutions provider, assisting organizations in automating business interactions in order to provide exceptional experiences for their customers, employees, and contact center agents. It provides an end-to-end, AI-powered "no-code" platform that serves as a secure foundation for enterprises to design, build, test, host and deploy AI-rich virtual assistants, process assistants and conversational digital apps across more than 30 different digital and voice channels. Over 350 Fortune 2000 organizations rely on Kore.ai's experience optimization (XO) platform and technology to automate their business interactions for over 100 million users worldwide, delivering extraordinary results.

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