Category: Thought Leadership

The Data Hoarding Trap Many organizations are guided by the adage “Knowledge is power.” Teams closely guard their data to maintain an internal competitive edge. But what if this mentality is holding your company back? Imagine your marketing team has gathered valuable data on customer preferences but fails to share that information with your product […]

Digital transformation can offer organizations improved efficiency, enhanced customer experiences, and the ability to stay competitive, but the journey is often fraught with challenges. One key hurdle is motivating employees to embrace new technologies and ways of working. An innovative approach to overcoming these challenges is gamification, a strategy that uses game-like elements to engage […]

The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]

Executives must anticipate rapid technology shifts, which increasingly disrupt businesses, and find new markets and partnering opportunities. Accenture’s global disruption index, which quantifies economic, social, geopolitical, climate, consumer and technology changes, indicates disruption occurs at a rate 50 times greater than just five years ago. How can executives stay ahead of the curve? Anticipating Technology […]

When leading strategic initiatives, executives are often tasked with bringing on new partners or negotiating new contracts to drive critical business outcomes. Whether you’re onboarding a key technology vendor, a manufacturing partner, or a strategic consulting firm, you need to manage the often competing priorities of various internal stakeholders. Three of the most crucial—yet frequently […]

AI drives efficiency and better customer experience in insurance, if done transparently with strong governance to ensure fairness, ethics, and compliance.

Automate tedious tasks, gain faster insights through conversational analytics, and innovate using synthetic data – accelerating time-to-value from data assets.

The capacity to learn is a gift; the ability to learn is a skill; the willingness to learn is a choice. —Brian Herbert, Author When I was 10, my parents bought me a Sinclair ZX81. The slim plastic-encased computer had a stick-on keyboard and a precariously attached memory pack. Programs were saved on cassette tapes. […]

For maximum generative AI impact, centralize foundations (infrastructure, data governance) but decentralize innovation across business domains. This hybrid model balances robust AI governance with agile delivery, enabling rapid prototyping aligned with strategic goals.

Dive deep into individual experiences beyond data metrics to uncover blindspots and build lasting trust by focusing on customer needs – a compelling case study on embracing change while preserving core values.