Author: Zinnov
Cost Optimization Through The Talent Lens
An account on the various cost optimization measures that organizations can adopt, with respect to talent, in the COVID-19 era.
Remote Employee Engagement – A GCoE Perspective
A snapshot of the various programs and initiatives undertaken by the Global Centers of Excellence to ensure remote employee engagement.
Intelligent Automation In Healthcare – From The Providers’ Perspective
With cost pressures and revenue worries, Healthcare Providers are looking at Intelligent Automation in Healthcare to address these challenges. Know more here.
Intelligent Automation In Healthcare – From The Payers’ Perspective
With Healthcare Payers under pressure in the wake of COVID-19, Intelligent Automation in Healthcare has the potential to bring in efficiencies and reduce cost.
Digital Engineering In BFSI – The India Opportunity
BFSI companies are being challenged by newer players, thus creating an urgency for these organizations to increase their investments on Digital Engineering in BFSI.
Rapid Cost Takeout Opportunities
A Zinnov point of view on the various rapid cost takeout opportunities that can be tapped into, by focusing on three levers – Globalization, Outsourcing cost, and Product Portfolio Optimization.
Employee Engagement In The Times Of COVID-19
Sailesh Menezes, Senior Director & Head – HR, HPE, India shares insights on employee engagement in the times of COVID-19, in a conversation with Zinnov.
Cost Takeout – The 3 Critical Cogs In The Cost Optimization Strategy
An analysis of the three important levers to achieve ‘cost takeout’ – a conversation that has gained momentum like never before, owing to the COVID-19 crisis.
Conversational AI – The Intelligent Weapon In The Fight against COVID-19
Conversational AI is on the path to replace humans, and COVID-19 has accelerated its adoption and implementation, even helping develop newer use cases.
India GCCs: In The Fast Lane With Hyper Intelligent Automation
India Global Capability Centres (GCCs) are playing a crucial role in accelerating the adoption of Hyper Intelligent Automation. What are the key factors driving this adoption?