Sure! Here’s the translation into American English:
In the context of the Generative AI Summit held in Silicon Valley, Ralph Gootee, co-founder of TigerEye, and Tim Mitchell, a business line leader at the AI Acceleration Institute, engaged in a dialogue about the evolution of business intelligence driven by artificial intelligence (AI). During the discussion, Gootee shared his insights from previous experiences and how TigerEye is revolutionizing the industry by enabling organizations to access accurate and useful data without wasting resources on creating specific analytics.
Gootee, who also co-founded PlanGrid, expressed that one of the most significant mistakes in his previous projects was the inefficient use of highly skilled talent on internal analytics that could have been redirected towards enhancing user experience. With TigerEye, his goal is to help companies navigate these pitfalls by providing a comprehensive business intelligence solution focused on critical areas such as sales, marketing, and finance.
One of TigerEye’s key innovations is its native design for AI integration, which sets it apart from other companies that attempt to add this technology haphazardly. The platform not only relies on textual metrics but is also capable of autonomously generating SQL queries, ensuring responses that are verifiable and easily understandable.
The event also emphasized the need to foster collaboration between large companies and startups, facilitating a constructive exchange of experiences. Gootee highlighted the challenges posed by project planning in a rapidly evolving AI environment, stressing the importance of adapting models and keeping up with technological advancements.
Regarding the future of AI-supported business intelligence, Gootee anticipates a deeper focus on specific challenges within each sector, such as territory management in sales. TigerEye is dedicated to optimizing account distribution and segmenting markets to provide more effective solutions.
In terms of adopting AI-driven technologies, it has been observed that startups and mid-sized companies tend to be more risk-taking, in contrast to large corporations that are more conservative. The latter often have various AI teams that may lack a clear direction, making it difficult to effectively implement new technologies.
With AI increasingly present in the future of business intelligence, it is recognized that success will depend on companies’ ability to offer practical solutions that truly address market needs. TigerEye’s strategy, which combines the power of AI with clear and verifiable analytics, suggests a future where teams spend less time managing data and more time taking action based on the insights generated. Those companies that focus on tackling industry challenges and creating real value for their customers will be better positioned to lead this change.
Source: MiMub in Spanish
