Gandhi notes that most clients face three major tactical challenges: dataset, skillset, and mindset. The big strategic obstacle is prioritization and lack of a sense of urgency with respect to AI and data. Most AI projects die even before they can potentially take shape due to businesses’ failure to proactively collect, store, process, and maintain their data. Even with large investments in data warehouses and data lakes, CIOs face a huge struggle. In addition, the iterative nature of AI products and projects makes it a lot harder to predict success and ROI. This uncertainty makes it imperative for companies to push toward developing an iterative mindset.
Our rapid growth is driven by our core values: help clients win, move fast, share passion for AI, and care
Even during the pandemic, Gradient Ascent has seen its revenue quadruple and its team triple. The company will continue this growth trajectory by expanding its outreach beyond Canada and the U.S. and has already onboarded clients in Australia and Europe. Gradient Ascent has recently adopted a venture services model and will soon partner with several venture capitalists and other investors to help accelerate the growth of their portfolio companies. The company will continue emphasizing on being a gender-balanced and diverse firm and hiring like-minded talent to its team. “We have worked on almost 50 AI projects now for global, publicly-listed clients as well as startups and diverse small businesses such as rural Canadian hospitals. We always strive to build trust and transparency with all our clients and align our interests with their needs. We win when our clients win.” concludes Gandhi.