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AI-driven transformation in HR tech to future-proof organization

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Shuchi Patel

After the epidemic, a lot has changed including how teams work and businesses operate with remote working being the new normal. HR managers are finding it difficult to keep pace with these rapid changes, and now is the time to reimagine the HR industry in a way that will benefit both employers and employees with AI.

So how exactly can AI help in transforming the workplace?

In today’s rapidly changing world, organizations encounter issues such as high attrition rates. McKinsey’s research reveals 81% of employees feel that their organization does not fully utilize their skills, and 90% of employers agree that their organization faces severe skill gaps. The issues are only getting more intense. Failure to address this will impede the organization’s scalability, but this can be solved by adapting to the AI-driven transformation that will help your organization to stay in the top tier of the competition.

Breaking Down Skills, Jobs And Roles: A Human-Centric Approach To Role Deconstruction

Many organizations currently are utilizing AI technology to automate and streamline the different processes of their HR department. The PeopleBlox talent intelligence platform is one such tool that will assist your organization in rapidly reacting to the market shifts.

So what is PeopleBlox? How can your organization stay on top of the competition by using the PeopleBlox talent intelligence platform?

Today, the HR industry aims to extract value from internal talent and simultaneously using an automated approach can expand its role. This involves aligning HR towards enhancing productivity and employee engagement by understanding employee needs and enabling them to pursue their desired career paths within the organization. PeopleBlox workforce intelligence platform helps organizations in following this approach. In simple terms, we use an AI-based automated approach to simplify the HR process and enhance the core components of your organization. This approach helps in transforming traditional HR roles into more efficient and effective ones.

The first step with PeopleBlox is how the technology works by deconstructing competencies on a granular level. We send a chatbot to employees based on their current roles to identify the employee’s skills and role readiness for the specific role or to find new opportunities within the organization. The role readiness index gives a real-time picture of an individual’s skill set. Managers can use this information to identify individuals within the organization who possess the necessary skills, experiences, and career aspirations for specific roles. This enables them to prepare a skilled internal workforce and reduces the attrition rate. Furthermore, this approach helps to save resources that would have been used in hiring, training and developing a new candidate for the role.

In conclusion, AI-driven transformation in HR tech is a powerful tool that will help organizations in future-proofing themselves by streamlining HR processes. They can reduce costs, and give employees a better experience. With the right workforce management platform, HR leaders can harness the power of AI to make data-driven decisions and increase employee engagement. As technology continues to evolve, it’s crucial for organizations to stay ahead of the competition and embrace workforce intelligence platforms for organizational success.

About Us:

PeopleBlox is a young HR Tech startup based out of Pune, India. We believe in building products that make a dent in the universe! At our Baner office, you’ll find young interns fresh out of Pune’s top engineering colleges working side-by-side with gray haired veterans who’ve formed and successfully run businesses. But the one thing that’s common to us all is — the desire to build the best talent engineering product in the world!

Contact Us:

Contact Us At: https://peopleblox.io/contact

Call: +91–7447406688

Email: [email protected]

Follow On LinkedIn: https://www.linkedin.com/company/peopleblox/

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Shuchi Patel
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