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1 month ago | 
datasciencecentral.com | Saqib Jan |Dan Wilson |J. Rusnak |Bill Schmarzo
The breakthrough advancements in computing power, deluge of data, and ever-sharpening algorithms have converged to make AI the defining technology of our age. Across industries and across continents, AI has become the focal point for innovation and disruption, for the very future of how work gets done—now operationalized and embedded into core processes, from customer service and supply chains to product development itself.
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1 month ago | 
datasciencecentral.com | Dan Wilson |J. Rusnak |Bill Schmarzo |Eric Ethridge
Interview w/ Sumit Gupta – Business Intelligence Engineer at NotionIn our latest episode of the AI Think Tank Podcast, I had the pleasure of sitting down with Sumit Gupta, a business intelligence engineer at Notion, author of The Tableau Workshop, and an expert in modern data stacks, marketing analytics, and business intelligence.
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1 month ago | 
datasciencecentral.com | Dan Wilson |J. Rusnak |Bill Schmarzo |Eric Ethridge
Interview w/ Larry NamerThe AI Think Tank Podcast has always been a platform for exploring the future of intelligent systems, machine learning, and data science. But this time, we had the pleasure of diving into the intersection of AI and entertainment media with an industry legend, Larry Namer. As a founder of E! Entertainment Television, Larry has shaped the global media landscape in ways few have.
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1 month ago | 
datasciencecentral.com | J. Rusnak |Dan Wilson |Bill Schmarzo |Eric Ethridge
Large Language Models (LLMs) are a natural language processing tool under the category of generative artificial intelligence. They have the power to transform the insurance and reinsurance industries by improving a multitude of processes.
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2 months ago | 
datasciencecentral.com | Bill Schmarzo |Alan Morrison |J. Rusnak
In the world of physical assets, the more something is used, the more it depreciates—it wears out, loses value, and eventually needs to be replaced. But in the digital economy, the opposite is true. Welcome to the Marginal Propensity to Reuse (MPR).
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Oct 22, 2024 | 
datasciencecentral.com | Ernest Tarango |Erika Balla |Zachary Amos |J. Rusnak
In the rapidly evolving landscape of data management and analytics, the concept of the Modern Data Stack has emerged as a powerful solution to harness the potential of data for informed decision-making. In this article, we will delve into the intricacies of the Modern Data Stack, its components, benefits, and how it is revolutionizing the way businesses handle data. As Intellectyx, a pioneering data modernization entity, we unravel the essence of this contemporary data paradigm.
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Oct 16, 2024 | 
datasciencecentral.com | Zachary Amos |Vincent Granville |J. Rusnak |Alan Morrison
Coral reefs are critical ecosystems on the brink of extinction. Today’s artificial intelligence (AI) and advancements in machine learning have enabled experts to identify, monitor and predict coral health. How do they achieve this? They listen. As one of the most biodiverse ecosystems in the world, it’s little wonder coral reefs are bustling with noise.
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Oct 13, 2024 | 
datasciencecentral.com | Bill Schmarzo |J. Rusnak |Edward Nick |Dan Wilson
In my blog titled “Synergy of Generative, Analytical, Causal, and Autonomous AI,” I discussed the four types of Artificial Intelligence (AI) and the importance of understanding when and where to blend these AI variants to create new sources of customer, operational, and societal value. The four types of AI are (Figure 1):Generative AI: Creates new content, ideas, or solutions by learning from existing data and generating original outputs.
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Oct 9, 2024 | 
datasciencecentral.com | J. Rusnak |Zachary Amos |Edward Nick |Dan Wilson
Insurance plays a pivotal role in providing financial security against unforeseen risks and losses. A critical metric for evaluating the financial performance and health of insurance companies is the loss ratio, which measures the ratio of claims paid out to premiums earned. High loss ratios can threaten the profitability and sustainability of insurers.
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Oct 6, 2024 | 
datasciencecentral.com | Bill Schmarzo |J. Rusnak |Edward Nick |Dan Wilson
One of my career breakthroughs occurred when I was teaching at the University of San Francisco School of Management. I kicked off a research project to determine how to treat data as an asset on a company’s balance sheet. My aha moment occurred when one of my research assistants made the following comment:“Data isn’t like anything else on the balance sheet.
