Read more about author Fredrik Forslund. The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights. While AI and generative AI (GenAI) tools and systems contribute to the massive growth in corporate data, these systems do…

Read more about author Yash Mehta. Chatbots were among the first apps that testified to the mainstream adoption of AI and inspired further innovations in the conversational space. Now, it’s time to move on from just responding bots to emphatic companions that further reduce the dependency on human intelligence.  RAG-enabled chatbots are proactive in responding to and addressing queries in real time. They consume the user’s intent, fetch relevant information…

Read more about author Hemanth Kumar Yamjala. Legacy systems are the backbone of many businesses, especially those in the industry for decades. These systems ensure a stable and reliable platform for conducting smooth business operations. However, decade-old legacy systems can also pose risks and challenges to data integrity that can affect an organization’s overall growth and success. In response to these challenges, leading businesses are embracing application modernization services. Adopting an application…

Read more about author Sterling Wilson. Enterprises continue to produce an explosive volume of data each year, so much so that companies admit up to 60% of their data goes unused, and one-third of enterprises report feeling overwhelmed with rising data quantities. Cloud-based data storage solutions have made it easier than ever to store this vast amount of data, and for companies who are facing market pressures to undergo digital transformation, it…