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- RESOURCES
Reason 1: Scaling and Personalizing Marketing Strategies
Reason 2: Customizing In-Car Setups
Reason 3: Recognizing and Responding to Voice Commands
Reason 4: Support Predictive Maintenance
Every major car brand today must use AI data services to stay competitive. Whether it’s in pre-sales or post-sales, AI data collection services, AI data labeling services, and AI data annotation services can be the keys to superior customer experience. Automotive data helps vehicles function in many ways, including:
- Processing images
- Detecting and responding to various objects
- Responding to drivers’ verbal commands
- Acknowledging and reacting to driver and road behaviors
Read our blog to understand the four ways brands are using automotive AI data services to boost ROI and customer engagement.
#1 Scaling and Personalizing Marketing Strategies Using Automotive AI Data Services
Car companies are using AI data solutions to build more robust, personalized marketing and sales strategies that appeal to customers worldwide. They are using AI data collection to pull customer data from current and new markets worldwide. Then they use AI data labelling and annotation to help them analyze market trends, predict future customer behavior, and create more personalized, localized content at scale to engage their current and prospective customer bases.
#2 Customizing In-Car Setups with Automotive AI Data Services
Drivers today are demanding more personalized systems from their AI-enabled vehicles, including:
- Infotainment
- Voice Recognition
- Driver Assistance
With data collection, annotation, and labelling, companies can capture and use information from driver behavior. They can ensure a car’s systems are fine-tuned for drivers and passengers, with minimal effort from the driver.
#3 Recognizing and Responding to Voice Commands Via Automotive AI Data Services
Automotive companies are using AI data services to collect data and train their vehicles’ LLMs to detect and respond to driver-issued voice commands. Drivers can choose from a plethora of verbal commands and thus focus on driving, rather than using their phone or even pressing buttons to change the car’s behavior or climate. They can also do all of this in multiple languages or with a variety of accents, because robust automotive AI data services from multilingual, global companies like Lionbridge help train LLMs to understand the many ways speakers convey their voice commands. These are some examples:
- Call or text people in your phone’s contact list
- Read incoming texts to me
- Navigate to specific destinations, like the nearest gas station or coffee shop
- Set the internal temperature, or increase/decrease fans and seat heating
- Choose to play, skip, or adjust volume for music, radio programs, podcasts, etc.
- Perform various functions, like opening or closing the trunk or sunroof, turning headlights on/off, etc.
- Call emergency services or report an accident
Beyond specific commands, part of automotive AI data services is prepping the car to handle noise robustness (i.e., different types of background noises like highways, cities, music inside, etc.). The vehicles are also trained on “wake-up” phrases that prompt paying attention to the driver’s commands. As with the verbal commands mentioned above, this may require a language services-oriented company, such as Lionbridge, to help train LLMs to handle different languages and accents.
#4 Support Predictive Maintenance
Drivers benefit greatly from vehicles that use AI data collection and annotation to help them stay abreast of maintenance needs. LLMs in vehicles can analyze sensor data to understand what vehicles may need, before they need it. In-car AI models can even help people schedule their maintenance appointments. Overall, this proactive approach can help drivers avoid bigger mechanical issues, maintenance bills, and downtime. Vehicles will be as effective as possible for as long as possible.
Why Choose Lionbridge for your Automotive AI Data Services?
Automotive brands have many companies to choose from, but Lionbridge offers extensive benefits that are highly reliable and help navigate global, multilingual, and culturally diverse markets. Most notably, Lionbridge has over three decades of experience helping companies connect with consumers who speak different languages and come from different cultures. Many AI data services companies lack the critical expertise global brands need.
Another reason Lionbridge is a top choice for automotive AI data services is our dedication to compliant, secure, results-focused frameworks for AI usage. Our AI experts developed our TRUST and REACH frameworks to ensure useful, responsible AI output that our customers can always rely on. We also have a few quality assurance tactics that are specific to our AI data services projects. These are:
- Using skilled annotators with industry-specific domain knowledge
- Performing multi-step quality checks via inter-annotator agreement metrics and AI-assisted verification
- HIPAA, GDPR, and ISO 27001 compliance
Lionbridge sets itself apart from the competition with our crowd. Via Lionbridge’s Aurora AI Studio™, we manage a global pool of curated, diverse contributors with expertise in the automotive industry. They provide multilingual, multicultural perspectives from all demographics. They can also provide high-volume data collection, labeling, and annotation at unprecedented speeds, helping automotive brands perform faster in highly competitive markets worldwide.
Get in touch.
How can automotive AI data services help your team keep drivers and buyers engaged? How can AI data collection or annotation help you boost revenue? Let’s discuss your automotive company’s goals and get in touch.
