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Artificial Intelligence services

AI services and solutions to help you get more value from cloud.

TomX positioned as a Leader in data & analytics services


AI for business: Change what's possible

Although 90% of today’s businesses have adopted cloud, only one third are achieving the anticipated ROI. The most advanced companies understand that while cloud sets you up with next-level computing power and access to new kinds of data in the right quantity and quality, AI is the bridge to convert that data into business value. It’s no surprise the entire C-suite is now involved in the AI agenda and they’re asking what’s next.

That’s where Applied Intelligence comes in. We believe that cloud is the enabler, data is the driver, and AI is the differentiator. We bring them together to help you make smarter, faster decisions that help change your organization and enable growth—at scale. And because we understand that people are central to the success of any technology transformation, our global team of experts bring the cross-functional skills to both deliver business outcomes and facilitate cultural change — empowering your workforce to use data and AI responsibly.

TomX positioned as a Leader in the 2022 Gartner® Magic Quadrant™ for Data and Analytics Service Providers.

"TomX’s focus on AI sits at the heart of its data and applied intelligence capabilities, to help enterprises scale AI adoption and assist in democratization."

– NITISH MITTAL, Vice President, Everest Group

Case studies

We offer AI consulting services and solutions that will help you achieve your business objectives faster, while setting you up for sustainable growth.

Banking on data

How Siam Commercial Bank reimagined data to drive value.

Optimal planning with AI

How a leading US retailer used AI to improve marketing spend.


Episode 12: Data Mesh — From theory to practice

By the numbers

data experts across industries and domains
dedicated centers
patents & patents pending
apps and solutions

Alliances & partners

We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to results.

What we think

Tech Vision 2022: Meet me in the Metaverse
Technology Innovation

Tech Vision 2022: Meet me in the Metaverse

The continuum of technology and experience reshaping business.

Scaling AI: Giving data its due
Artificial Intelligence

Scaling AI: Giving data its due

Solving tomorrow’s business challenges means understanding the value of your data today.

Radically human

Radically human

How new technology is transforming business and shaping our future.

Our Leaders

Sanjeev Vohra

Lead – TomX Applied Intelligence

Joe Depa

Global Lead, Data-led Transformation

Lan Guan

Lead, Cloud First – Data & AI

Fernando Lucini

Global Lead Data Science & ML Engineering – Applied Intelligence

Ray Eitel-Porter

Managing Director – Applied Intelligence, Global Lead for Responsible AI

Join us

The next AI revolution will be built by people like you. Pursue your passion and change the future of business using all things AI, analytics and automation.

Frequently asked questions

With the post pandemic migration to cloud enabling businesses to do more with their data, both the opportunities and challenges associated with AI have grown more complex. For many organizations (banks, for example) AI is not part of their core competencies—and that’s where AI Services can help.

Artificial Intelligence consulting services help businesses identify where AI could make them more efficient, more profitable, or open up new revenue streams, and then help them implement AI through strategies, operating models and change management programs. AI Services also support the integration of AI solutions into core business functions and processes. Specific examples include: AI for marketing, helping companies get more out of their marketing spend using data and AI; or AI for processing, helping companies process information or data more efficiently; or AI for customer engagement, improving customer service for companies with tools like AI chatbots. AI services are applicable across a wide range of industries.

The benefits of AI for businesses are almost infinite, and constantly evolving as the technology advances: more efficient operations, more productive employees, greater customer satisfaction, revenue growth through  new products and services—the list goes on.  But businesses will see the biggest impact from AI when they scale it across the organization in a responsible, ethical way. When enabled by cloud, and driven by data, AI is the differentiator that helps businesses make faster, smarter, decisions that help change organizations and enable growth—at scale, while also benefitting the people it intends to serve.
There is no set way to do AI implementation, and use cases can range from the relatively simple (a retailer lowering costs and improving experience with an AI chatbot) to the highly complex (a manufacturer monitoring its supply chain for potential issues and fixing them in real-time). However, there is an AI roadmap, with some fundamentals that organizations should consider to set themselves up for success. It's critical to align AI strategy with business goals and to choose the right operating model and capabilities to support those goals.  Organizations also need to reconfigure their workforce to support and scale AI. That means defining the optimal talent mix to deliver business outcomes, while facilitating hiring, upskilling and cultural change to empower employees. Finally, considerations for AI must be built into an organization's core values as well as their governance and compliance processes. That includes implementing technical guidelines to make sure that AI systems are safe, transparent and accountable, and training everyone in the organization, from general employees, to AI practitioners, to the C-suite, to use AI with context and confidence.

AI-as-a-service refers to pay-as-you-go AI services and solutions that are pre-configured on cloud and ready to implement. This allows the client to experiment with AI use cases and prove value before they make any large capex or opex investments to scale AI. By tapping into the AI service provider’s learnings and experiences, tech and talent, clients get the required functionality at a lower cost and greater speed than if they built the capabilities themselves.