How should emerging companies use their data? with Dave Cook
The Data Standard
In today’s information-driven business environment, data is the fuel for growth. The more decision-makers know about their employees’ needs, changes in the industry, and the demands of customers, the more prudently they can strategize for future expansion. Big data has unlocked fresh possibilities, providing remarkable insights into market conditions and a heightened awareness of unfolding opportunities.
Collecting large quantities of data and finding analytical insights has become an integral part of how organizations of all kinds evaluate their progress and develop growth strategies. With the tremendous capacities for storing information in cloud-based solutions, businesses have the means to acquire a more detailed understanding of everything from the efficiency of manufacturing to the effectiveness of marketing campaigns.
Organizations can draw on data tools to discover areas that are currently ripe for improvement and garner a peek at the challenges and opportunities that lie ahead. With predictive analytics and machine-learning systems, businesses gain a sense of how existing problems or emerging ideas for growth will play out in the future. Those findings allow leaders to make smarter decisions and achieve long-term, sustainable success. In this episode, guest Dave Cook sits down with TDS to discuss how emerging companies should use their data.
Meet The Host
Podcast Host at The Data Standard
I believe that I can make a difference right now through research and innovation.
Meet The Guest
Chief Technologist/Sr. AI and Data Solutions Architect at Booz Allen Hamilton
I'm a dynamic data entrepreneur and digital transformation strategist with a 25+year career driving innovative technical solutions and partnerships in analytics, GEOINT, data science, big data, artificial intelligence/machine learning (AI/ML) and cloud based-solutions. My mission and purpose is to help people shape our data future, and our government's ability to leverage the power of human-machine teaming. We can do this in new ways at scale through integrated methods that fuel AI/ML, creativity and spatial thinking.