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The Major Terminology in NLP Every Tech Manager Should Know
Natural Language Processing (NLP) is a rapidly growing field that holds immense potential for tech managers. This article provides an overview of key NLP terminologies, backed by statistics, data, and real-world cases and examples. Title 1: Tokenization Tokenization is the process of breaking down text into smaller units, typically words or sentences, called tokens. It…
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Enhancing Customer Support with Artificial Intelligence
This Machine Learning Glossary aims to briefly introduce the most important Machine Learning terms – both for the commercially and…
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5 AI Cost-Effective Solution for Customer Support
In an era where businesses strive for efficiency and cost-effectiveness, finding innovative ways to reduceexpenses while maintaining high-quality customer support is crucial. This is where the power of AI automation comes into play. By leveraging artificial intelligence (AI) technologies, companies can revolutionize their customer support processes, streamline operations, and significantly reduce costs. In this article,…
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Navigating the Agile Landscape: Exploring the Benefits and Challenges of Scrum
Not that long ago, people lived and functioned in tight communities. Every vendor knew their customers personally and could make…
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Pros and Cons of Embracing Natural Language Processing (NLP) in Your Business
This Machine Learning Glossary aims to briefly introduce the most important Machine Learning terms – both for the commercially and…
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Telegram vs. WhatsApp: The Free Bot Advantage over WhatsApp
Competition in retail banking may be more intense than ever as FinTechs and new market entrants fight with established players for…
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From Data Insights to Automation: How Businesses Can Leverage Different Types of AI
The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the …
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From Rockets to AI Algorithms: How Scrum Drives Innovation in Leading Tech Companies
Is AI taking over our jobs? Will AI replace the need for humans? No. Think of the rise of AI as a way of enhancing us, not replacing us.
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10 Epic Fail Cases of Biggest IT Companies: Lessons from the Past Decade
This Machine Learning Glossary aims to briefly introduce the most important Machine Learning terms – both for the commercially and…
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The Worst User Experience from Tech Titans in the Last Decade
Not that long ago, people lived and functioned in tight communities. Every vendor knew their customers personally and could make…