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AI Expert: Why You Are NOT Dreaming Big Enough - 3 Big Common Mistakes
Manage episode 407316294 series 3559456
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Luke Komiskey is the Founder and CEO of DataDrive, a consulting firm specializing in managed analytic services. With over a decade of experience, Luke has played a pivotal role in making data analytics more accessible to various businesses. Under his leadership, DataDrive has evolved into a global team of professionals, supporting over 150 organizations, including healthcare, public education, manufacturing, and software. Luke’s approach emphasizes transforming data into actionable insights, aiding organizations in making faster and more informed decisions. His passion for simplifying complex data challenges has been central to DataDrive’s mission of fostering a data-informed society.
In this episode…Companies are inundated with data, and the rapid adoption of AI has allowed them to extract insights. However, as businesses struggle to trace the origin of their data, attribution remains a challenge. Additionally, AI is still in its infancy and requires human input to be utilized effectively. How can you optimize AI to unravel your data for informed decision-making?
As an expert in decoding data, Luke Komiskey imparts the value of AI in writing code and analyzing data sets to identify insights and trends and make the appropriate recommendations. Yet before AI can perform these analytics, you must gather end-to-end data by tracking the customer journey to connect individual touch points. Making impactful decisions to drive business growth requires integrating sound AI and data strategies. Luke recommends transitioning from performing analytics through spreadsheets and other manual work to leveraging AI reporting platforms that allow you to ask insightful, data-driven questions.
In today’s What The Teck? episode, Rolando Rosas and Dave Kelly sit down with Luke Komiskey, the Founder and CEO of DataDrive, to talk about decoding data using AI. Luke shares how Amazon’s use of AI impacts vendors, the meaning of machine learning, and the risks of not investing in AI.
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