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The Business Impact of AI Transformation

by Lilt  Lucas Kim, Content Marketing Manager  ·  AI

The Business Impact of AI Transformation

The global language services market reached $62.6 billion in 2023, with projections indicating continued growth as businesses expand internationally. AI is rapidly reshaping how businesses approach global content.

Recent numbers show AI is becoming common in many industries. According to McKinsey, 72% of companies across all sizes have implemented some form of AI, with 64% specifically utilizing generative AI. The IBM Study reveals that 42% of enterprise companies have already deployed AI in their operations, while only 32% have successfully deployed solutions.

Problems with Putting AI Translation into Use

Even though AI translation has a lot of promise, organizations face significant hurdles. Studies show that the main barriers to AI deployment include data privacy (57%), trust and transparency (43%), and lack of implementation skills (35%). Also, many companies say they don't have enough AI experts, and some have trouble with data being too hard.

Many businesses are at a difficult point, dealing with:

  • Many different systems and old sellers create tech debt and prevent organizations from using their data effectively. Not having unified solutions makes it hard to use full AI translation solutions.

  • Having both human translators and AI systems often leads to fragmented workflows, making things less efficient and creating quality inconsistencies. Organizations have trouble finding the right mix between human ingenuity and AI.

  • When team members are unsure about new tech or worried about AI, it can make it harder to use these tools effectively and stop groups from getting all the good things that AI can offer.

Main Goals for Good AI Use

To get past these problems, businesses must focus on key change goals:

Bringing Solutions Together: Modern AI translation solutions offer integrated platforms that make work smoother by joining current tools and steps. This eliminates extra unnecessary steps and complications, creating a more efficient workflow.

Cutting Costs: According to Bain & Co 2024, organizations achieve an average 25% cost savings through AI implementation and related process redesigns. Tangible cost reduction makes AI transformation compelling for executive teams seeking to optimize their localization budgets.

Growing Easily: As global content needs grow, businesses need AI translation solutions that can scale. This includes handling more content and supporting more languages without hurting quality or efficiency.

Real Success Stories

Lenovo's Global Content Change

Lenovo's marketing team had problems delivering consistent multilingual content across their global markets. Their legacy systems had trouble handling lots of technical content across many languages. LILT's AI translation solution gave a combined platform that made their localization workflow smoother. The results included:

  • 40% reduction in translation costs

  • 60% faster time-to-market for global content

  • Better consistency across 12 target languages

  • Keeping brand voice

  • Simplified vendor management

Mintel's Market Information Localization

Mintel needed to give market information reports in many languages. Their past process was slow and costly. LILT's AI-powered solution allowed:

  • 20% increase in content throughput

  • Programmatic cost reduction

  • Improved technical terminology accuracy

  • Faster market information delivery

  • More consistent quality

NWS's Public Service Communication

The National Weather Service needed accurate and timely translation of important weather information. LILT's AI translation solution gave:

Organization Impact and Benefits

Using advanced AI translation solutions provides huge benefits across organizations:

Better Accuracy and Efficiency: Companies using special AI translation solutions report better correctness compared to normal AI, along with a big increase in translation efficiency. This improvement lets organizations handle bigger content amounts without losing quality.

Cost Savings: Organizations usually save money through AI-powered translation processes, making it a key part of business money planning strategies.

Strategic Role Evolution: Content managers become AI stewards, taking on more strategic roles in guiding AI use and ensuring optimal results. This change lets localization teams grow their scope and influence within global organizations.

Data-Driven Decisions: Centralized AI translation solutions give full insights and analytics, letting organizations make smart decisions about their localization strategies and resource allocation.

Choosing the Right AI Translation Partner

When picking an AI translation solution provider, businesses should look for:

  • Proven expertise in enterprise-scale implementations

  • Comprehensive integration capabilities

  • Strong data security measures

  • Ongoing innovation and adaptation to the growing tech landscape

  • Dedicated support and training resources

The right partner should not only provide AI as a component but also understand your specific business needs and growth goals. They should offer a clear implementation roadmap and show a record of successful enterprise transformations.

Contact us today to learn how advanced AI translation solutions can change your global communication strategy and drive business growth.