The use of AI for innovation is not new, but with advancements in its forms, combined with new access to data, there has been a step-change in the opportunities offered by this technology. As we look all around us, transformative technologies of our times such as cloud, low-code, and Artificial Intelligence (AI) have become an unquestionable force for business transformation. And High-Performance organizations have entered a new chapter with Artificial Intelligence (AI) innovation.
AI is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to enhance decision-making.
The ability of AI to analyze vast quantities of data from different sets and suggest ideas beyond the human imagination certainly shows great promise as an innovative method. Now, when we talk of AI, Data Management is one of the foundations of an AI-powered organization. Transformational leaders envision high-performance organizations via AI technology, and the organization’s ability to generate actionable insights from data, often in real-time is one of strategic importance.
In this context, our core data management capabilities can help digest huge amounts of data, helping enterprises with actionable insights. Data-centric AI-complete with data parsing, data quality, data integration, and data governance are capabilities we continue to deliver. To explain this: we’ve helped enterprises with AI and analytics to understand customers better, and their preferences, and really understand their journeys using customer golden records.
Leveraging this ecosystem of AI-centric data management with new capabilities, our customers are geared for success in the era of intelligent decision-making.
Delivering innovation and reinventing our approach
What makes AI so interesting as an innovation method is not so much its impact on the domain, but how well and widely it can be applied. Software used to analyze data that has already been collected is sometimes producing answers that are wrong because the patterns identified do not exist in the real world – and this problem is exacerbated by the relative opacity of some machine learning systems. However, AI’s universal applicability could make it a key solution to a potential productivity problem in innovation.
Over the last two years, we have been optimizing our product portfolio, expanding our ecosystem, and pushing barriers with AI, helping companies with cloud, low-code, and more. Today, every business wants speed, security, scale, and ease of use, when it comes to technology. This need for speed is driving growth as customers partner with us because of the breadth and depth of our product capabilities. We are extremely agile in the way we work and are committed to product innovations that remain central to our business.
We’ve devised a creative healthy competition amongst employees to come up with ingenious solutions that are not check-in box AI but focused on customer centricity, efficiency, and process improvement.
As a customer-centric organization, we endorse a relationship approach rather than a transactional approach with our customers.
We are looking forward to being an ‘enabler- and orchestrator’ for our customers on their digital journeys. Even as we are focused on meeting the needs of customers today, we continue to shape the technologies of tomorrow.
Whether it is the immense potential of AI, low-code, or automation, we firmly believe that we are poised to seize significant opportunities.
