Have you noticed the presence of Artificial Intelligence being a part with us now? From camera auto-focus in smartphone devices to quick suggestions on Google, AI has become an essential part of our daily lives. Companies around the world are rigorously working towards automating their business operations to save time and budget in enhancing their effectiveness. The opportunity for innovation and development in AI is thriving, and with time it will only continue transforming the world in the diverse way possible. 

A report by the European Commission reveals that the global AI market is expected to grow to 59 billion USD by 2025. Everyday automation and AI technologies are transforming the global workplace with smart devices and algorithms performing the tasks. Presence of AI in the workplace has enhanced the efficiency of several organizations and help them reduce costs. As a result, many professions or human roles may disappear as others adapt to technology-oriented roles. 

Talking about seamless AI integration and its effectiveness, there are several risks and challenges associated with it. As the old saying goes, where there is light, there is darkness. This means, with ample opportunities in AI there are several challenges that come with it. 

Here are the primary challenges that businesses face while integrating Artificial Intelligence:

1. Not So Advanced Computing System 

Machine learning and deep learning techniques need series of calculations done in a very short time preferably in microseconds or nanoseconds, which require a lot of processing power. Hence, various organizations lack the potential resources to implement these AI techniques.

2. Highly Specialized Program

AI implementations are highly specialized. Also known as “Applied AI,” it is built for performing a single task and learning to improvise every day. 

Hence, AI needs to be properly trained to ensure their solutions do not cause any major issues/errors. However, those areas are yet to be considered. 

3. Data Security and Privacy 

AI applications depend on massive volumes of information to learn and make strategic decisions. Machine learning systems depend on data that are either personal or sensitive.

Due to this systematic learning, these ML systems can become more vulnerable to data breaches and identity theft. 

There are multiple risks involved with Artificial Intelligence, but it also provides plenty of opportunities. 

Let’s have a look at the opportunities in AI:

1. AI in Marketing 

Every small or big business want to maximize its marketing budget and concentrate on achieving great marketing strategies. Most businesses would like to implement marketing activities that deliver the highest ROI.  

Machine learning enables analysis of live campaign data with the help of sentiment analysis algorithm and suggests distribution of marketing activities that gives the best results. 

2. Effective AI Techniques

It is crucial to keep track of your competitors but, it is not a viable option when you have to do it on your own. As a result, AI tools come in. 

There are several tools available in the market which track competitors through various channels like websites, apps, or social media. These AI tools help you with the competitor’s data, that in turn help the brands with their marketing planning like price changes, PR activities, and more. 

3. AI-enabled Customer Support Solutions 

AI chat systems permit businesses to scale their customer service efforts and free their resources needed for complex interactions. 

Therefore, AI-based customer service solutions suggest and automate answers for incoming queries. This helped various organizations save time and achieve productivity in the team. 

Hence, we can understand that the era of AI has finally begun. The adoption of AI might have been uneven across different verticals. However, it still looks promising on various operational ends. 

Contribution of Data Labeler in Artificial Intelligence Technology

Data Labeler are provided with accurate labeled data, labelling guidelines and high-end workforce management software.

We provide high-level datasets for AI and ML initiatives. Contact us for detailed info – Sales@DataLabeler.com