Technology landscape is constantly evolving and new innovations are reshaping the ICT industry at a rapid pace. As enterprises seek to stay ahead in a highly competitive environment, it is crucial to keep an eye on emerging technologies that have the potential to disrupt and transform various sectors.
Gen AI has the potential to revolutionize digital innovations and enhance content creation. The interplay between data platforms and Gen AI drives innovation and advancements in various domains, including finance, manufacturing, and retail. However, integration of these technologies in current infrastructure and data platforms can be quite challenging.
CORE Media arranged a closed door session for technology leaders and Google Cloud India executives to discuss strategies for data landscape transformation and Generative AI.
Anoop Mathur, Founder, CORE Media started the conversation by talking about data landscapes and embracing Gen AI with modern data platforms. Joining him as co-host in this discussion was Kirthi Ganapathy, Customer Engineering Manager, Google Cloud India. The conversation focused on exploring the prospects, benefits, and challenges associated with integrating Gen AI into enterprise infrastructure, along with the current landscape of data platforms.
The key points highlighted by the CIOs and Digital leaders attending the session are:
- With the current complex Data Landscape, CIOs are exploring products like Data Lakes, Data Warehouses, and Data Marts for simpler consolidation, and enabling a single view for insights for smart decision making.
- CIOs are interested in embracing Gen AI, but are primarily risk averse due to data security challenges.
- Gen AI excels at creating new content and Prompt engineering offers a multitude of benefits for Gen AI applications, enhancing their effectiveness and expanding their range of capabilities, while Predictive Modeling is more adept at making accurate predictions. Implementing a comprehensive regulatory framework and establishing a centralized guidance center would enable enterprises to harness the full potential of Gen AI for meaningful insights and transformations.
