A futuristic workforce management strategy and technology is paramount for enhancing employee retention in today's dynamic and competitive business landscape. Such a strategy anticipates and adapts to the evolving needs and expectations of the workforce. By embracing emerging technologies, like AI-driven analytics and automation, organisations can refine their workforce management by optimising employee schedules, fostering work-life balance, and providing customised learning and development opportunities.

This not only ensures that employees are engaged and motivated, but also helps in the efficient allocation of resources. A forward-looking workforce management strategy takes into account the increasing emphasis on remote and flexible work arrangements, which have become integral to the modern work environment. By offering such flexibility and acknowledging the importance of employee well-being, organisations can attract and retain top talent in a highly competitive job market. 

Watch this on-demand to hear from Nadia discussing how to enhance employee retention by using futuristic workforce management strategies and technologies, including: 

  • Technology and data, such as AI-driven analytics and automation, and their role in optimising workforce scheduling, enhancing employee well-being, and personalising career development.
  • How data-driven insights can help organisations make informed decisions to improve employee engagement and retention.  
  • How NICE technology and services are supporting their transformational journey.

Speakers:

Nadia Younan

WFO Solutions Manager, APAC

NICE


Speakers:

Philippe Mercier 

Vice President, Analytics, AI and Digital - APAC

NICE Ltd

Philippe Mercier helps organisations transform their customer experience leveraging Analytics, AI and Digital – He has more than 25 years of sales and management experience at global consulting and software companies offering enterprise level solutions. Prior to his role at NICE, Philippe was at IBM where he led the Data Science, Watson and Artificial Intelligence Unit for Asia Pacific. His key achievements include accelerated sales growth, launching the Data Science Centre of Excellence in Singapore and building a successful APAC presence. He has been helping many organisations through their AI and Digital journey. Philippe has also held several leadership positions across US, Europe and Asia. Philippe holds a Master Degree of Business Administration from Institut Supérieur de Gestion, Paris, France.


Dr M Maruf Hossain PhD

Vice President of Data Science Intelligent Automation

ANZ

Dr M Maruf Hossain currently holds the position of Vice President of Data Science at ANZ Bank, where he leads a team comprising different data professionals. In the past, Dr Maruf served as the Head of Data Science at Credit Clear and as the Chief Data Scientist at Telstra Global (via Infosys Consulting). Additionally, he assumed the role of Technical Lead for multiple data science projects for the Australian Government and played a pivotal role in establishing the data science practice at IBM Australia, involving developing and delivering training and mentoring programs.

Dr Maruf's contributions extend beyond industry positions, as evidenced by his co-authorship of numerous research papers on machine learning. Particularly noteworthy are his algorithms' impact on critical national projects, such as Taskforce Eligo, which seized over $580 million in cash, drugs, and assets in 2013. Furthermore, Dr Maruf's analytical report during the multi-agency National Security Operations pilot phase paved the way for its implementation under the Prime Minister and Cabinet.


Pradeep Menon

CTO | Data and Generative AI Lead, Digital Natives, ASEAN

Microsoft

Pradeep is a seasoned technology professional with more than 20 years of experience in technology with an emphasis on Data, AI, and Cloud Computing. He has worked with customers across Asia in their digital transformation journeys focusing on the intersection of data, technology, and strategy.


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