Archive · 10 Aug 2026
How AI is transforming the future of enterprise innovation
Smart computer programs called AI are becoming a big part of how companies work.
Before, companies just tried little AI experiments, but now AI is becoming a main tool in their everyday jobs.
AI can now do more than simple tasks—it can plan, think, and carry out complicated work by itself.
People still watch over the AI and make the big decisions.
Companies are using AI in medicine to help with research and in banks to check and organize information.
Leaders say companies win by combining AI with their own special knowledge and data.
AI also helps companies turn new ideas into real products much faster.
Experts believe the companies that use AI best will lead the future of business.
Artificial intelligence is moving beyond pilot projects into the core of enterprise strategy, reshaping how businesses innovate and compete.
Enterprises are focusing AI investment on industry-specific transformation, customer experience, and business process orchestration.
In healthcare, AI is modernizing clinical research, evidence generation, data hubs, MDM, and pharmacovigilance; in financial services, it powers content generation, MCC validation, and BIAN mapping.
Companies are deploying 'digital workers'—agentic AI agents that handle end-to-end functional responsibilities under human oversight.
Experts say competitive advantage comes from combining foundation models with proprietary data and deep domain expertise, not from access to models alone.
- Who
- AI and technology leaders Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd., and Mahesh Sharma, SVP of Data & AI Engineering at Bread Financial, along with enterprises adopting AI.
- What
- Artificial intelligence is moving beyond experimentation into enterprise strategy, shifting from task automation to autonomous, goal-driven systems that reshape innovation, customer experience, and business processes.
- When
- Not specified in the article.
- Where
- Global enterprise landscape, with highlighted applications in the healthcare and financial services sectors.
- Why
- To gain competitive advantage, boost workforce productivity, and create new sources of business value.
- Core shift
- From simple task automation to autonomous, goal-driven AI systems that reason, plan, and execute complex workflows
- Top investment areas
- Industry-specific transformation, customer experience, and business process orchestration
- Healthcare use cases
- Clinical research, AI-powered evidence generation, data hub development, MDM modernization, pharmacovigilance
- Financial services use cases
- Content generation, MCC (Merchant Category Code) validation, BIAN (Banking Industry Architecture Network) mapping
- Emerging trend
- Digital workers—AI agents managing end-to-end responsibilities within a function under human oversight
- Source of advantage
- Combining foundation models with proprietary data, institutional knowledge, and deep domain expertise
- Key expert 1
- Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd.
- Key expert 2
- Mahesh Sharma, SVP of Data & AI Engineering at Bread Financial