Digital Transformation Journey

The Generative AI marketplace is on fire. Beyond the big platform players, there are many hundreds of specialty providers funded by ample venture capital and a wave of new open-source models and capabilities. Enterprise application providers, such as Salesforce and SAP, are building LLM capabilities into their platforms. Organizations like Microsoft, Google, Amazon Web Services (AWS) and IBM have invested hundreds of millions of dollars and massive compute power to build the foundational models on which services like ChatGPT and others depend.  The rapidly changing technology landscape pressures management teams to transform organizations. Generative AI (GenAI), a cutting-edge technology, accelerates this need to change. According to Forbes in January 2023, venture capital investments increased by a massive 425% in generative AI startups. Democratization of AI at such a rapid scale makes one believe that this technology is here to stay and will be immensely disruptive.  While there a

As we all know that in recent times Artificial Intelligence (AI) has grown rapidly, and one of the most thrilling areas of this development is Generative AI. It’s a term that has been making waves in tech circles. Major marketers have jumped on the generative AI train. But what is it about Generative AI that has sparked such interest. In this blog let’s try to take a deep dive to understand Generative AI – beyond the hype. The initial enthusiasm has now reached a feverish pitch with venture capital investments increased by a massive 425% in generative AI startups, more than 100 million ChatGPT subscribers in 2 months and almost two billion site visits per month with an average time spent of around ten minutes – like Twitter and Facebook. One is almost immediately reminded of Bitcoin and Metaverse in recent years, which similarly burst on the scene, but have quietened down a lot. Will Generative AI go the same way? So far it does not look so, instead democratization of AI at such a r