MOVE YOUR BUT 

AUTOMOTIVE EDITION

Driving beyond the limits with AI

Tesla didn’t just enter the automotive industry; it upended it by boldly investing in electrification infrastructure, seizing an unmatched lead in motors, software, and charging networks.

The writing is on the wall: if companies want to shape the future, they must dive headfirst into AI now, or risk being left in the dust as AI revolutionizes data management, security, and development with explosive speed.

Alvaro Pujals

Business Hacking Partner at Globant.

When adopting AI, "buts" multiply like potholes, the ultimate business buzzkill that keeps companies from seizing opportunities and innovating, revealing hard truths that must be faced. Tight budgets hit the brakes on revolutionary ideas; cultural pushback jams up fresh approaches and data dilemmas damper cutting-edge tech. Time crunches grind projects to a halt, regulatory red tape turns expansion into a labyrinth, and a skills gap slows down the rollout of new tech. However, AI roars ahead, leaving those "buts" in the rearview mirror.

The global Automotive artificial intelligence market is anticipated to be USD 7.0 billion by 2027, growing at a CAGR of 24.1% during the forecast period.

The global market for generative AI in the automotive industry is projected to be USD 3,146.10 million by 2033.

The application of AI in car manufacturing is expected to generate millions of new jobs by 2025. AI is revolutionizing product development, enabling early adopters to reduce development times by up to 50%.

The numbers speak for themselves, proving AI is really upping the game in the automotive industry. Yet, the "buts" are still riding shotgun. So, it’s time to wear your driver's gloves and prepare to conquer each AI challenge together.

Top 5 Beliefs that Stand in the Way of AI Adoption

1  THE BUT 

Data management means consistency…

Buckle up! Due to legacy IT systems and mixed-up data standards, OEMs are hitting roadblocks when connecting and processing data. This is a big deal because AI algorithms need top-notch, consistent data to run smoothly.  

AI success depends on proper data management, integrating, cleaning, and standardizing it like a pro. Data security is a must to protect against cyber threats, and real-time data processing is essential for AI-driven decisions.

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of the automotive data will be cruising through AI algorithms in 2030.

It’s critical for AI to ensure data consistency, smooth handling, and storage, to access the mountains of data churned out by car systems.

THE SOLUTION

...And AI is the tool that will transform it into a smooth ride.

Automakers are hitting data speed bumps with outdated IT setups and mixed data standards because AI thrives on top-tier, consistent data to run well. With real-time data processing revving up, AI makes split-second decisions.

Picture a slick system where AI integrates data seamlessly. AI cleans and serves up real-time insights faster than you can say "pit stop," and predictive maintenance prevents issues before they hit the road.

For customer experience, AI offers a unique, personalized journey. It’s not just data management—it’s a high-octane boost for efficiency and satisfaction.

Mastering data planning fuels AI, ensuring it is ready for action, whether it’s stored, accessed, or processed on the go.

Accelerating toward AI solutions

Nissan, teaming up with Globant, transformed global customer experiences across markets worldwide with AI and data-driven strategies, revolutionizing the car buying journey with cutting-edge digital platforms, a core part of Nissan NEXT. 

This initiative attracted

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users within three days and revved 2,000 leads!

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it took customers to pre-order in an online reservation system for the Nissan Ariya, in just three steps

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successful customer interactions have zoomed by in the first 5 months, with an AI-powered chat developed with Google.

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Read the full report!

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