Generative AI or Gen AI has certainly unlocked several possibilities in the world of analytics that can help business functions and their owners derive a lot of data-driven intelligence. This can make their decision-making process faster and more accurate. This becomes particularly useful for functions in a company where people are more business focused and less tech-savvy and grapple with complicated analytical tools.
In this whitepaper, we focus on the HR department where employee-centricity is the imperative to ensure effective operations and customer delight. Many GenAI use cases are just beginning to be explored by HR departments.
However, Generative AI is not free of limitations and challenges. We are not yet at a place where we can trust GenAI a hundred percent to produce accurate, consistent and reliable outputs. This risk can be mitigated by using automation components that leverage the strengths of GenAI engines, while overcoming their limitations.
Let’s dive deeper into the realm of GenAI for HR Analytics – it’s limitations, challenges, and the ways to tackle them.
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“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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