Data and AI

Harnessing AI to unlock the power of data for business success

Welcome to the data-driven era: AI that transforms information into impact

In today’s hyperconnected world, data is everywhere, generated at every touchpoint, across every process, and within every interaction. Yet, the value of data does not lie in its abundance, but rather how it’s harnessed. We believe that AI provides the missing link to unlock the full value of data. Value is realized when data transforms into actionable insights that drive real business outcomes.

At Google Cloud Next 2025, we asked Herschel Parikh, Global Google Cloud Partner Executive at Capgemini, what his key takeaways were from the event: “When I think about our Capgemini clients, we’re in a situation where there’s so much data out there and being able to utilize that data is a key component to our clients’ success.”  

AI and data utilization: From complexity to clarity 

AI is redefining how organizations engage with their data. No longer limited to dashboards and static reports, businesses are using AI to uncover patterns, predict outcomes, and personalize experiences in real-time. Machine learning models can sift through massive datasets to identify trends in a fraction of the time a human needs to make the same calculations. In addition, natural language processing (NLP) enables teams to extract meaning from unstructured sources like emails, support tickets, and social media. And AI-powered automation ensures that clean and consistent data flows seamlessly and is ready for action. 

This shift is not just about technical functionality; it’s about a strategic mindset. By embedding AI into the heart of data strategy, organizations are moving from reactive decision-making to proactive, insight-led operations. What happened is only part of the story. Companies need to anticipate what is next. It requires effective interaction between people and intelligent systems. Recent research from Capgemini Research Institute shows that while 83 percent of business leaders plan to increase AI investments, only 49 percent feel prepared for AI-powered customer service, highlighting the urgency for integrated, industry-specific AI adoption. 

Build with Google AI: From vision to deployment 

As companies move from strategy to execution, the question becomes: how do we actually embed AI into our daily lives? Google Cloud provides a powerful foundation for this journey. With tools like Vertex AI, BigQuery, Agentspace and Customer Engagement Suite, businesses can move from experimentation to enterprise-grade deployment. Whether it’s training custom models, deploying intelligent agents, or integrating AI into everyday workflows, Google’s platform is designed to scale with ambition. At Capgemini, we work closely with Google Cloud to help clients not only adopt these tools but build with them, embedding intelligence into the core of their operations.  

This is especially relevant as generative AI becomes a boardroom priority. Ninety-three percent of consumer products executives now see it as essential to orchestrating personalized customer journeys across commerce, service, sales, and marketing.

A sports analogy: AI and data in play 

At Google Cloud Next, we asked leaders from Google Cloud and Capgemini to explain the relationship between AI and data using a sports example.  Think of AI as the players – designing a strategy, executing a play, and anticipating what’s next while adjusting in the moment based on the opponent’s reactions. Data is the game itself – the field, the ball and the conditions in that moment. These tangible assets are what help the player, AI, reach the ultimate goal to score. Without a well-structured game or a reliable ball, even the best players can’t perform. The takeaway is simple: AI and data are inseparable. One drives the action; the other gives it structure and meaning. 

Customer experience: Where AI and data meet the human touch 

One of the most exciting frontiers for AI and data is customer experience. Intelligent virtual agents, powered by platforms like Google Cloud’s Vertex AI and Customer Engagement Suite, are transforming how businesses engage with their customers. These agents  provide real-time insights, assist human agents, and elevate service delivery to new levels of personalization and efficiency. The mistake many organizations make is viewing customer service as a cost center. In reality, it’s a strategic opportunity to drive loyalty and increase revenue. Yet, only half of companies today can integrate customer interaction data end-to-end. This is where AI can shine, bridging systems, surfacing insights, and enabling multi-agent coordination across departments. The future of customer service is intelligent, connected, and data-driven. Companies that embrace this shift will lead; those that don’t risk being left behind. 

Real-world impact: Turning data into business value 

We’re seeing firsthand how AI and data are reshaping the way organizations operate and connect with people. At Wind Tre, for example, modernizing their IT infrastructure with Google Cloud’s data solutions improved performance – and transformed how they engage with customers. They now process more than 1,000 events per second and make 100 million decisions a day, enabling more responsive, personalized interactions at scale. 

In another case, a team launched the first Gen AI chatbot in Catalan using Vertex AI. It was a technical milestone and a cultural one. The chatbot is helping to preserve local language while improving response times, showing how AI can be both efficient and human-centered. 

And at L’Oréal, the use of a digital twin solution is helping bridge the physical and digital worlds. It’s not just about data modelling- it’s about getting closer to customers by understanding their needs in real-time and designing experiences that feel intuitive and personal. 

These aren’t abstract use cases. They are real stories of how businesses are using human-connected AI and data to solve problems, serve people better, and build for the future. 

Looking to build an intelligent enterprise powered by AI and data? Partner with our Google Cloud experts to turn vision into value at googlecloud.global@capgemini.com

Client stories

Looking ahead: Building the intelligent enterprise 

The future belongs to businesses that can learn, adapt, and act at speed and at scale. AI is the engine that makes this possible. But success requires more than just technology. It demands a mindset shift away from data as a byproduct and to data as a strategic asset. It means moving from from siloed insights to integrated intelligence and from experimentation to enterprise-wide adoption. 

At Capgemini, we’re helping clients make this shift. With deep expertise in AI, data engineering, and industry transformation, we guide organizations through every step of the journey – from vision to value. 

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    FAQs

    How are Capgemini and Google Cloud collaborating to unlock business value through AI and data?

    Capgemini and Google Cloud partner to deliver AI-powered solutions that help businesses extract actionable insights from data, accelerate innovation, and drive digital transformation across industries.

    What is the Generative AI Centre of Excellence launched by Capgemini and Google Cloud?

    The Generative AI Center of Excellence is a joint initiative that enables enterprises to explore, prototype, and scale generative AI use cases using Google Cloud’s advanced tools and Capgemini’s domain expertise.

    How does Capgemini leverage Google Cloud’s AI tools like Vertex AI and BigQuery for enterprise solutions?

    Capgemini integrates Google Cloud’s AI tools—such as Vertex AI for model deployment and BigQuery for data analytics—to build scalable, secure, and intelligent solutions tailored to business needs.

    What industries benefit most from the Capgemini–Google Cloud AI partnership?

    Key industries include financial services, retail, telecommunications and Automotive where AI-driven insights improve efficiency, customer experience, and innovation.

    How does the partnership address ethical AI, data security, and responsible deployment?

    Capgemini and Google Cloud prioritize responsible AI by embedding ethical frameworks, ensuring data privacy, and complying with global regulations to support secure and trustworthy AI adoption.

    How does the Capgemini–Google Cloud partnership enhance CX solutions?

    Capgemini and Google Cloud co-develop industry-specific AI solutions using tools like Vertex AI and Agentspace to deliver scalable, secure, and personalized customer experiences across sectors.

    Why is trust critical for AI adoption in enterprises?

    Trust ensures that AI systems are used confidently by employees and customers. Without transparency, explainability, and accountability, adoption stalls—even if the technology is sound.