Iacopo Ghisio, Head of Tech Innovation and Product, Moltiply Group
Through this article, Iacopo Ghisio explores the rapid evolution of enterprise technology, emphasizing the strategic use of AI and data to stay competitive. He offers insights on building adaptable data strategies, managing digital transformation amid legacy systems, and leading teams through constant change. Ghisio also discusses emerging payment trends and provides advice for aspiring tech professionals.
Professional Background and Current Role at Moltiply Group
I am the “Head of Tech Innovation and Product” at Moltiply. I manage all non-core technology, developing platforms and services that enhance internal operations through RPA, AI, and similar tools. Our work supports over 3,000 operations team members, fulfilling Business Process Outsourcing for our clients. With a Master’s in Computer Science from Politecnico di Torino, my experience as a seasoned software engineer began in mobile technologies with the first global 3G network and, since 2010, has expanded to the Iacopo Ghisio FinTech industry, particularly in payments and the broader banking and financial sectors.
Adapt swiftly yet thoughtfully— AI is here to stay, and companies that master its potential will shape the future, while those that lag may not keep up
Current Landscape of Enterprise Technology and Future Outlook
We are undoubtedly in the “AI Era”—a time that will be remembered for its unprecedented pace of technological advancements and choices. The challenge now is adapting swiftly yet thoughtfully. While we’re still gauging AI’s full impact and global penetration, AI is here to stay despite its high maintenance and energy costs. Companies must learn to harness AI effectively or risk falling behind. Preparing for disruption is essential in managing people and facing new competitors. This is a time for first movers, where the change costs may be less than the risk of losing significant market share.
Core Challenges in Building a Cohesive Data Strategy
As I’ve highlighted in previous articles, many companies—especially mid-sized ones—aren’t yet prepared for a cohesive data strategy, often due to lacking an effective one. The main challenge is building a plan from the ground up collaborating with both business and tech departments to ensure productivity, not just cost. Starting with a small use case and scaling it organization-wide is essential, as is adapting swiftly to the ever-accelerating pace of change.
Critical Elements for Effective Digital Transformation in Legacy Heavy Sectors
Maintain legacy systems to ensure ongoing operations while allocating margins to create overlapping services with new technologies. Prioritize areas where disruption yields the highest savings, allowing for experimental rollouts. Expand gradually, avoiding disruption by testing with small user groups. Define success metrics upfront, use A/B testing, and leverage historical data for meaningful comparisons.
Leading and Motivating Teams to Stay Ahead
Be prepared to continuously learn and adapt by studying industry practices and applying them to relevant use cases. Form a “project team” that communicates challenges and progress clearly, keeping everyone informed. Highlight benefits for each team member and ensure top management alignment so the team feels valued, engaged, and focused on priority projects.
Emerging Trends Shaping the Payments Industry
BNPL services will likely expand but become standard offerings within traditional banks. Digital centralized identities will streamline cardless transactions, positioning mobile phones and data operators at the core of daily life, with biometric technology like facial recognition as key enablers. Enhanced anti-fraud systems will also be critical, driving growth in specific business areas.
Advice for Building a Career in Enterprise Technology
Stay informed on the latest technology and regulatory shifts, and continuously study to keep pace. Focus on the creative, innovative aspects of the field, and steer clear of repetitive tasks—AI will soon handle those.