Adobe combines the insights of many experts and analysts to predict how the field of artificial intelligence (AI) and analysis will develop and evolve in the next 10 years.
Under the epidemic, everyone talks about innovation and technology. What revolution will the science and technology industry bring to life? Adobe combines the insights of multiple experts and analysts to predict how the field of artificial intelligence (AI) and analytics will develop and evolve in the next 10 years.
Adobe said that the data-driven marketing and customer experience industry has undergone tremendous changes. The following are the predictions of experts and analysts for the next 10 years:
1. AI will be everywhere
Artificial intelligence will become very popular. In addition to the interaction between consumers and brands, technology, family and friends, all platforms and tools of enterprises will have artificial intelligence technology. Gartner predicts that by 2021, 80% of emerging technologies will have the foundation of artificial intelligence; by 2023, artificial intelligence and deep learning technologies will replace traditional machine learning and become the most common method in new data science applications.
At the same time, Gartner predicts that by 2020, “fake reality” or “fake content” driven by artificial intelligence will exceed the detection capabilities of artificial intelligence, causing people to distrust the digital field. To cope with this problem, the governance of artificial intelligence, including its standards and ethical supervision, will receive attention.
2. Personalization will become the new normal
In the long run, personalization will become an indispensable part of the overall consumer experience, and the ways of interacting with consumers will increase significantly. Adobe product marketing manager Heidi Besik predicts that in the future, brands will provide a personalized experience from the customer’s perspective to build deeper connections. In order to increase and maintain customer loyalty, brands must change their thinking and examine personalization and attribution through each customer’s needs.
3. Indicative analysis will fulfill the promise of a truly personalized experience
Indicative analysis will be able to learn scenario information that cannot be analyzed in the traditional sense, including information that may affect product demand such as macroeconomic indexes or weather conditions. With the help of instructional analysis, companies can accurately grasp the appropriate time to provide services and fulfill the promise of personalized experience.
4. Natural language processing will simplify data insights
With the continuous emergence of voice control devices such as Siri, Alexa, and Google Home, natural language processing (NLP) will become the norm for information acquisition, and analysis technology is no exception. NLP will act as a bridge for non-analysts to obtain key information from their data. It will not only gain insights in new ways, but will also simplify the interaction between people and the field of analysis. It will become more common to obtain analysis and insights in enterprises.
5. Artificial intelligence allows employees to focus on their priorities
Gartner predicts that by 2022, artificial intelligence in data analysis and other marketing software will release more than 30% of the productivity of data analysts in marketing teams, allowing them to focus their time on processing Other priorities without paying too much attention to manual processes such as personalization, lead scoring, anomaly detection, marketing performance management and reporting.
6. Consumers will place more demands on data privacy
Consumers are increasingly concerned about data privacy. If brands allow customers to choose whether to allow the collection and use of their data, they will certainly gain a competitive advantage.
7. The popularization of blockchain technology (Distributed Ledger Technology)
This will open the door to a new world. Corporate transactions, consumer purchases of products and services, data and digital assets can be shared without intermediaries. Fraud and security concerns. In addition, blockchain will further strengthen the concept of identity ownership and exchange data shared by customers with greater transparency and execution.
8. Data standards will help brands create correct and unified customer profiles
People’s demand for real data standards and governance will become more intense. Only by obtaining all the data and storing it in a standardized form can we truly understand the needs, wishes and value of customers. The industry must unify all data standards to eliminate obstacles and doubts that are common today.
9. Sentiment analysis will help brands better predict customer satisfaction
Customer experience (CX) analysis is an increasingly popular trend, in which behavioral data, attitudes and other interactive data such as customer service centers will be collected together to understand the overall situation Customer mood, satisfaction and loyalty. According to experts’ predictions, the industry will use more machine learning and artificial intelligence to understand people’s attitudes or emotional experiences with brands.
10. Wearable devices further realize “personal digitization”
From earphones equipped with biosensors that track heart rate to customize user experience, to fitness trackers that can detect heart abnormalities, people’s bodies are generating new data streams. As the awareness of data privacy continues to increase, users will be able to set the conditions for data collection by themselves, trust the brand more, and allow them to collect their own data.