Digital Talent Strategies | Building a Digital Ecosystem with Intelligent Automation

Digital Talent Strategies | Building a Digital Ecosystem with Intelligent Automation

Is it possible for conventional talent strategies to keep up as digital technologies begin to infiltrate the talent resourcing space? The answer to this is mostly a no. With advanced Analytics, Robotic Process Automation (RPA), Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning now drive a significant portion of such tasks. In this blog, we talk about a digital ecosystem for building talent strategies.

Current Industry Must Adapt

As businesses become more integrated and agile, hierarchies, roles, and specializations must adapt as well. Problem-solving, critical thinking, and creativity have all gained importance as a result of the digital revolution. Beyond productivity, labour, and cost arbitrage, the emphasis has shifted to an employee’s ability to add value by making complex decisions and identifying emerging opportunities. This shift is most noticeable among third-party service providers. Those who now apply all their resources in outcome-driven models.

Use of Digital Technologies

With the help of digital technologies such as analytics, RPA, and AI, these types of strategic partnerships enable innovation, drive insight-led decisions, and improve outcomes. When considering the impact of digital on talent management, it is easy to overlook the fact that these technologies are also opening up possibilities for transformation. Here are some talent strategies for a business’s digital transformation journeys.

Digital Customer Service

To provide a differentiated experience, only a digitally integrated business model is insufficient. Organizations should assist their talent in evolving as knowledge workers capable of orchestrating a customer’s digital experience. We now have digital consultants, who, unlike traditional contact center agents, go above and beyond standard key performance indicators to provide empathetic and personalized experiences. Organizations will need structured learning interventions, such as game-based and simulation-led training sessions, to achieve this evolution.

Center of Excellence

Digitally integrated operations eliminate redundancies and allow for the creation of a resource pool that spans previously siloed functions. While CoEs aid in the consolidation of business insights across operations, they also allow for the large-scale implementation of newer competencies. For instance, automation, data science, and data analytics.

Collaborative and Connected Performance

Achieving the future workplace necessitates a significant cultural shift, and failure to do so can result in a disengaged and demotivated workforce. While most businesses adopted remote working models in the early days of the pandemic, the true success of such a model needs a much broader and deeper approach supported by digital tools.

A digital ecosystem that encourages constant collaboration, and coaching, driven by automated, data-driven insights, can provide the support needed to achieve this shift at scale. There is no doubt that RPA, IA, advanced analytics, and AI are transforming traditional performance management, from social media analytics in hiring to insight-led conversations and engagement.

Hiring Robots & Artificial Intelligence

The ongoing Pandemic may have pushed many organizations into uncharted territory with virtual hiring and onboarding. But early successes have established the long-term benefits of this practice. While the most obvious benefits are faster onboarding and significant cost savings in sourcing, the increased adoption of digital technologies in the process has driven holistic innovation in the way talent is defined, classified, and pipelined.

Organizations are now using AI-powered recruitment and onboarding platforms to find talent for critical positions. Companies can use these platforms to quickly identify resources with specialized skills. Intelligent talent segmentation across skills, experience, availability, and compensation is a part of virtual hiring.

As organizations become more data-driven and agile, digital-led talent management strategies can assist change-resistant workforce to evolve, and empower employees who work towards a common goal i.e. the company’s long-term success.


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