Bridging the gap: From AI concepts to production success

In recent years, the conversation around artificial intelligence (AI) has shifted from theoretical possibilities to tangible realities. As businesses strive to remain competitive in an ever-evolving landscape, the potential of AI and deep tech solutions has become increasingly evident. Yet, despite the buzz and excitement, according to Gartner a staggering 85% of AI projects fail to transition from development to production. The question is: why?

Join me, Chris Brown, President of Intelygenz USA, at the GDS CIO Insight Summit on June 13th, where I will delve into this critical issue in my keynote presentation, “Harnessing Deep Tech: Transformative AI Solutions for Modern Businesses.” This session will explore how applied AI and deep tech can revolutionize traditional business models, accelerating digital transformation and delivering tangible ROI in weeks.

The AI implementation challenge

Understanding the concepts of deep tech and AI, and recognizing their potential value, is relatively straightforward. In fact, anyone can get a sense of AI’s possibilities by simply asking a tool like ChatGPT. However, the real challenge lies in successfully implementing these projects and transitioning them into production. This is where highly specialized expertise becomes critical.

Three foundational underpinnings for AI to deliver ROI

1. Build leading AI with data-driven architectures

One of the cornerstones of successful AI implementation is leveraging data-driven architectures. These architectures enable businesses to build agile and scalable systems that can adapt to market shifts, enhance operational efficiency, and deliver personalized experiences. At Intelygenz, we have perfected the art of designing these architectures to ensure that they not only meet but exceed security and compliance standards. This expertise allows our clients to confidently navigate the complexities of modern business environments.

Our case studies in the finance and banking sector highlight the transformative impact of data-driven AI solutions:

• Marketing with AI: For an international bank, we used AI to enhance marketing campaigns, resulting in a 736% increase in ROI and a 43% reduction in costs. The sales success rate jumped from 3% to 23%, targeting 156,000 customers.
• Predictive analytics for credit scoring: By utilizing historical data, real-time income updates, and spending patterns, AI-driven predictive analytics enabled more accurate creditworthiness assessments, speeding up loan approvals and reducing default risks.

2. Automate day-to-day operations

Embedding AI into daily business operations can yield remarkable benefits, from optimizing supply chain logistics to preventing fraud and customizing user interactions. Real-time AI integration provides businesses with the ability to derive insights instantaneously, enhancing decision-making processes and boosting customer satisfaction. During my presentation, I will share real-world examples of how streaming AI is seamlessly woven into the fabric of business workflows, delivering immediate and impactful results.

Key results from our automation case studies include:

• Intelligent call routing: Implementing AI for a global bank improved call center performance by classifying inbound communications by priority and automating responses for simple queries. This led to a 95% prioritization accuracy and 89% forwarding efficiency.
• Customer targeting for a turkish bank: By focusing on non-owners and using AI-driven customer data analysis, we increased response rates for installment and revolving credit products, achieving top 1% and top 10% response rates with significant improvements.

3. Deliver enhanced human experience-centric solutions

While AI technology is impressive, its ultimate success hinges on its ability to improve human experiences. At Intelygenz, we prioritize human-centric solutions that enhance customer and staff interactions. By developing intuitive interfaces and interactions, we foster customer loyalty and simplify work processes. Our advanced technologies reduce the reliance on manual tasks, freeing up valuable human resources for more strategic endeavors.

Our human-centric solutions have demonstrated substantial results:

• AI-enhanced financial wellness programs: These programs guide customers toward healthier financial behaviors by analyzing their spending habits, savings, and financial goals. This proactive support increases customer satisfaction and loyalty.
• Advanced biometric authentication: Implementing AI-driven facial recognition and fingerprint scanning improved secure access to banking services, enhancing both security and user experience.

The Intelygenz advantage

So, what sets Intelygenz apart in the crowded AI landscape? Our unique value proposition lies in our two decades of expertise and a proven record of success for our customers. Over the years, we have honed our skills and methodologies to ensure that AI projects not only get off the ground but also achieve lasting success. Our team of experts works closely with clients to navigate the complexities of AI implementation, providing the specialized experts skills and experience to bridge the gap between concept and production.

In conclusion, while understanding AI and deep tech concepts is an important first step, the real challenge—and opportunity—lies in successful, rapid implementation. By partnering with experts like Intelygenz, businesses can unlock the full potential of AI, driving innovation and achieving tangible ROI. Join us at the GDS CIO Insight Summit to explore these transformative solutions and gain the insights needed to leverage deep tech in your own business environment.