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Dec 10, 2024 | 
datasciencecentral.com | David Stephen |Alan Morrison |Ryan Williamson |Dan Wilson
How does an entrepreneur know that the products or services of the business are needed at some location? What is the possibility of stretching the marketplace of a business into new directions of demand? E-commerce initially notched where to buy—for many, then where to sell—for many. While purchases online have become dominant, demand has not necessarily evolved with regards to mass customer discoveries.
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Oct 28, 2024 | 
datasciencecentral.com | Shafeeq Rahaman |Zachary Amos |Bill Schmarzo |Ryan Williamson
Matchmaking has existed for millennia across cultures, but technology has rapidly accelerated the search for love in the 20th and 21st centuries. Scientific advancements have enabled deeper analysis of attraction, compatibility and long-term pair bonding. In tandem with the rise of big data, social media, and AI computing, digital matchmaking platforms now crunch enormous data sets in hopes of cracking love’s codes with unprecedented precision.
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Oct 23, 2024 | 
datasciencecentral.com | Zachary Amos |Ernest Tarango |Bill Schmarzo |Ryan Williamson
Artificial intelligence (AI) has made its way into nearly every facet of running a small or mid-sized business in the modern age. When programmed appropriately, AI can improve response time and catch security threats before they become a problem. Unfortunately, AI inherently comes with the potential for biases and can skew algorithms in strange ways. Examples of AI biases gone wrong are obvious when it occurs.
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Oct 21, 2024 | 
datasciencecentral.com | Jelani Harper |Ryan Williamson |Dan Wilson
The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice to restrict model outputs to their data, improve the accuracy of responses, and minimize models’ tendencies to deliver fallacious outputs.
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Oct 19, 2024 | 
datasciencecentral.com | Bill Schmarzo |Ryan Williamson |Vincent Granville |Ernest Tarango
“If you want to change the game, change the frame.”The game has certainly changed with the data era, and maybe the most drastic change driven by data has occurred in economics, the foundation upon which our modern society is built and sustained. Understanding and mastering the transition from “traditional” economics to modern data-driven economics has become necessary for survival and growth.
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Aug 20, 2024 | 
datasciencecentral.com | Ovais Naseem |Ryan Williamson |Rob Turner |Alan Morrison
Businesses must continuously adapt to thrive in an ever-evolving marketplace marked by rapid technological advancements and shifting consumer preferences. One of the most potent strategies forward-thinking organizations employ today is business restructuring. This strategic maneuver reshapes the company’s operations, aligning them with current market trends and future objectives. However, as beneficial as it is, restructuring is often complex and arduous.
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Aug 9, 2024 | 
datasciencecentral.com | Jason Guarracino |Ryan Williamson |Dan Wilson
A machine learning (ML) data catalog is a system that leverages machine learning and metadata to automate data management processes. It minimizes manual effort and enhances data accuracy through automated models. If you’re looking to understand ML data catalogs, we’ll cover it here.
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Aug 6, 2024 | 
datasciencecentral.com | Gaurav Puri |Ryan Williamson |Dan Wilson |Alan Morrison
The cyber kill chain is a process by which malicious actors carry out cyber attacks. With the development in AI and language models, the entry barrier has been significantly lowered to conduct large-scale SPAM attacks. Artificial Intelligence has significantly reduced the cost of SPAM attacks, now allowing sophisticated approaches to be economically feasible for bad actors.
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Aug 6, 2024 | 
datasciencecentral.com | Vipul Makwana |Ryan Williamson |Dan Wilson |Alan Morrison
Increasing competition and other challenges have made the business landscape more complicated than ever. Modern enterprises rely on ERP (Enterprise Resource Planning) software to address these challenges. Here, AI can be a game-changer technology bringing intelligence and automation in ERP systems. Let’s dig deep into the role of AI in ERP and understand how this revolutionary technology benefits enterprises.
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Jul 30, 2024 | 
datasciencecentral.com | Ryan Williamson |Dan Wilson |Alan Morrison
It has become essential for companies and organizations to manage data efficiently. The management of data involves many layers including its storage and analysis of this data for decision making, which was earlier done by keeping multiple servers in the organization’s premises. However, as data volumes increase and become more complex, organizations require better infrastructure and tools to manage this data.
