2024 Artificial Intelligence Predictions

Artificial intelligence (AI) technology, although a subject debated in technical circles for years, was marked as a year that captured the attention and imagination of the mainstream in 2023. Technologies like ChatGPT have made AI accessible from producers to end consumers. AI applications have suddenly become a digital experimental environment where millions provide data and generate insights from each other's data. The results of these experiments over time have raised many questions about the reliability, accessibility, and future of artificial intelligence.

However, there's no turning back now, and even more progress is expected in the field of artificial intelligence for 2024. We will likely see not only the development of more powerful AI systems but also the widespread adoption of artificial intelligence in sector-specific operational applications across various industries.

Here are five significant predictions for artificial intelligence in 2024:

We Will Encounter and Learn from Errors Along the Way

We have learned through trial and error that artificial intelligence (AI) applications are not flawless. The unlimited internet network feeding AI applications has led to the incorporation of interpreted and distorted information from various sources into the responses of these applications. OpenAI even rewarded those who found errors in AI tools like ChatGPT and GPT-4 through its "Bug Bounty Program." While time can be given to correct these errors for everyday problems, with the proliferation of AI in the business world, it's crucial to shorten this time as much as possible for companies using customer data as the primary input for their AI strategies. Understanding the vulnerabilities of the AI technology they employ, preparing data accurately, and introducing it into the application will be critical steps for companies in their AI strategies.

With the emergence of an artificial intelligence strategy, the privacy, data integrity, and accessibility of customer information take precedence. It is expected that industry-standard security protocols and appropriate encryption methods will be among the most common topics in the collection, processing, and storage of data in the upcoming period.

The success of developing an AI strategy for companies relies on the proper management of customer data. However, while AI usage offers opportunities to analyze customer data more deeply and provide more personalized experiences, it also brings data security risks. One of the companies excelling in this aspect is Salesforce. Salesforce offers an approach reflecting its commitment to the security and privacy of customer data through its Trust Layer, focusing on data security and ethical principles, providing comprehensive measures to protect businesses' and customers' data. The Salesforce Trust Layer includes features such as authentication, data encryption, access control, and regular security audits. Thus, while offering AI-powered solutions, the aim is to ensure data security.

Mainstream Applications Will Incorporate Artificial Intelligence

With the popularity of services like ChatGPT, we can expect to see more of artificial intelligence technology in mainstream applications. As artificial intelligence increasingly occupies consumers' daily lives, companies' marketing professionals will put in much more effort to create natural experiences. Strategies will be developed for AI to touch consumers at the right place and time. For example, chatbots based on well-trained language models revolutionize customer interactions by accelerating issue resolution and saving time.

Users are currently satisfied with this; 80% of consumers believe that AI-supported interactions will significantly improve service experiences.

AI Sector/Operations Will Progress Independently

Competition in the field of artificial intelligence is already heating up. While companies claim leadership in different areas of application, there won't be a single "winner" in the AI transformation. Instead, we will see companies from multiple sectors using AI technologies in different ways and achieving different results. Collaborative efforts between marketing, sales, customer service leaders, and IT teams to find the right technological solution for their companies, as well as working together to convey their companies' security, transparency, and ethical values to customers, will be essential.

Business Processes Will Be Automated with Data-Driven Predictions

Artificial intelligence fed with accurate data can make forward-looking predictions, instantly identifying key points within data sets that would take weeks or even months for humans to analyze. While providing insights, it can automatically initiate operational processes for teams, minimizing the time they spend on analysis and processes. For example, Salesforce Einstein reports to teams on opportunities with the highest likelihood of conversion based on previous sales processes and interactions with customers, initiating automation in determining the best product segments to communicate to customers and communication processes.

Automation processes are not limited to sales alone. In the 8th edition of Salesforce's State of Marketing report, we also see that three out of the top four uses of AI focus on automating business processes.

This data emphasizes the importance of using existing resources more quickly and effectively for all of us. Teams can now focus on larger projects while facilitating tasks such as content production and social media management based on these predictions, managing business processes faster and more efficiently.

2024: The Year of Transformation with Artificial Intelligence

Considering 2023 as the year of exploration for AI, 2024 is expected to be a year filled with even more progress and transformation. The widespread adoption and reach of artificial intelligence technology are also among the predictions. The AI transformation requires a robust technology backbone that integrates and coordinates processes and data correctly. Companies must invest in a platform capable of receiving feedback and alerts from customers and understanding them comprehensively.

In summary, after the ongoing AI revolution, we need to rethink how we can better manage our work with technology and information.