Information Technology

<p style="text-align: justify;"><span data-contrast="none">Generative AI has stunned and excited the world! The buzz of AI, Chat GPT, or other AI-driven chatbots is all over.&nbsp; &nbsp; </span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">On a recent road trip, I asked Chat GPT to build an itinerary for my trip. It came up with a complete day-wise activity list, including suggestions for evening dinner venues and gourmet meal options!&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">Over the past several decades, the possibilities of Artificial Intelligence have been fascinating. In 1950,&nbsp;</span><span data-contrast="none">Alan Turing</span><span data-contrast="none">&nbsp;published a&nbsp;</span><a href="https://en.wikipedia.org/wiki/Computing_machinery_and_intelligence" target="_blank" rel="noopener"><span data-contrast="none">landmark paper</span></a><span data-contrast="none">&nbsp;in which he speculated about the possibility of creating machines that think. He devised his famous&nbsp;</span><span data-contrast="none">Turing Test</span><span data-contrast="none">. If a machine could carry on a conversation that was indistinguishable from a conversation with a human being, then it was reasonable to say that the machine was "thinking."&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">Anyone who has interacted with GPT or any other Large Language Models (LLM) - especially in depth and with sophisticated prompting - will know that these systems are remarkable in terms of their output.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">So, how do we harness the power of Generative AI?&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">What does it mean to consulting houses and software services companies?&nbsp; &nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;">&nbsp;</p><h2 style="text-align: justify;"><span style="font-size: 14pt;">Challenges in the Adoption of Generative AI &nbsp;</span></h2><p style="text-align: justify;"><span data-contrast="none">There are two major roadblocks in the adoption of Generative AI technologies.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><strong>Data Gathering and Quality&nbsp;</strong></p><p style="text-align: justify;"><span data-contrast="none">AI/ML technologies have matured faster than data management, making data quality a roadblock for disruptive innovation. These large, complex models require a lot of the right kind of data and good quality data.&nbsp; &nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">Further, maintaining the right quality data is an ongoing task and not a one-time activity. Organizations are investing in state-of-the-art data platforms that can connect to various data sources while making the right quality data available to their subscribers (operational models, data science, reporting, self-service, etc.)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><strong>Maturity of the Tech Stack&nbsp;</strong></p><p style="text-align: justify;"><span data-contrast="none">Generative AI requires a level of modernization that many non-traditional tech companies are still embracing. Many organizations are saddled with monolith legacy applications and technology debt.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;"><span data-contrast="none">Organizations are investing in building a software infrastructure (public or private cloud) &ndash; software-enabled workflows, computing, storage, analytics, and automation. These systems embed the pipeline in a consistent and componentized software and computing infrastructure while connecting to appropriate internal and external users as needed.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;"><span data-contrast="none">Additionally, enterprises need to pay attention to change management and adoption. Since AI initiatives are aimed at delivering transformative solutions, change management initiatives are needed to guide through each stage of the journey. Gen AI sits at the intersection of business and technology. An organization needs to think beyond silos and function as an agile organization from both a process and technology standpoint. It is really about people &ndash; bringing them together, open communication, transparency, mitigate resistance, breaking the silos while harnessing new capabilities along the journey.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;">&nbsp;</p><h2 style="text-align: justify;"><span style="font-size: 14pt;">Role of AI in Employee Feedback&nbsp;</span></h2><p style="text-align: justify;"><span data-contrast="none">AI-powered chatbots and sentiment analysis can help us understand how employees feel about the vision for change and identify potential areas of resistance or concern. By analyzing employee feedback and comments, we can address potential concerns or objections before they become a roadblock to change.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;">&nbsp;</p><h2 style="text-align: justify;"><span style="font-size: 14pt;">Conclusion&nbsp;</span></h2><p style="text-align: justify;"><span data-contrast="none">The scope of building the state-of-the-art data platforms and the software infrastructure is vast. It is an ongoing transformative effort. It is a significant opportunity for consulting organizations and software service providers to take customers through the transformation.&nbsp;&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;"><span style="font-size: 10pt;"><em>This article was contributed by our expert <a href="https://www.linkedin.com/in/makarand-deolalkar/" target="_blank" rel="noopener">Makarand Deolalkar</a></em></span></p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;">&nbsp;</p><p style="text-align: justify;"><br /><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p>