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Darshan Kothari
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Darshan Kothari

Darshan Kothari

@xonique
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Darshan Kothari is the Founder & CEO of Xonique, a global-ranked Artificial Intelligence and Machine Learning Development Company. With 10+ years of experience enabling then Startups, now global leaders with creative solutions, he is differentiated by out-of-the-box IT solutions throughout the domain. He is known for his visionary qualities and adaptability to technology and trends. He is passionate about every aspect and dedicated to making IT simple, accessible, and approachable for business enterprises.
2 Freunde
11 Beiträge
https://xonique.dev/
Männlich
25 Jahre alt
Arbeitet bei Xonique
Lebt in Vereinigte Staaten (USA)
Wohnt in 2307 Fenton Pkwy Ste 107 POB800 San Diego, CA 92108-4746 United States
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Darshan Kothari
Darshan Kothari
@xonique
1 y ·übersetzen

How Much Does it Cost to Hire AI Developer?

AI has become crucial in technology, from chatbots to data analytics, offering transformative potential for businesses. Hiring AI developers is essential but costly, involving salaries, infrastructure, and maintenance. AI developers handle machine learning algorithms, AI modeling, and neural networks. Their roles include data preprocessing, model training, and deployment. To leverage AI effectively, hiring skilled AI developers is vital for business efficiency and innovation.

https://tinyurl.com/3ukzja3r

#hireaidevelopers

How Much Does It Costs To Hire AI Developer?
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How Much Does It Costs To Hire AI Developer?

The decision to Hire AI Developers usually involves factors that go beyond talent acquisition. Understanding the associated costs is equally crucial.
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Robert Gorycki

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Darshan Kothari
Darshan Kothari
@xonique
1 y ·übersetzen

How Do You Deploy Machine Learning Models At Scale?

Machine Learning Models provide businesses with valuable insights, streamline processes, and create new opportunities. However, deploying these models is complex, requiring expertise in data science, software engineering, and cloud computing. Key challenges include scalability, cost-effectiveness, and monitoring. DevOps practices help address these challenges, ensuring applications are flexible and resilient. Proper deployment of ML models boosts efficiency, reduces costs, and drives innovation.

https://tinyurl.com/k5dxbsws

#machinelearningmodels

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Darshan Kothari
Darshan Kothari
@xonique
1 y ·übersetzen

What is the Difference Between Conversational AI and Chatbots?

Businesses are increasingly adopting Artificial Intelligence Chatbots to enhance customer experience and reduce service costs. AI Development companies create chatbots that offer 24/7 support, handle simple inquiries, and improve with machine learning. While chatbots follow predefined rules, conversational AI enables more natural, context-aware interactions. This technology revolutionizes customer service, providing intelligent and personalized user experiences.

https://xonique.dev/blog/diffe....rence-between-conver

#artificialintelligencechatbots
#aidevelopmentcompanies

The Difference Between Conversational AI And Chatbots
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The Difference Between Conversational AI And Chatbots

Conversational AI and Artificial Intelligence Chatbot are frequently used interchangeably; however, they're not the same as compared.
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Darshan Kothari
Darshan Kothari
@xonique
1 y ·übersetzen

Artificial Intelligence (AI) Solutions Create your AI Advantage

Artificial Intelligence Solutions are crucial for modern businesses, enabling data-driven decisions and automation. By leveraging AI, companies can transform data into actionable insights, enhancing efficiency and innovation. AI applications like chatbots, predictive algorithms, and process automation streamline operations and improve customer satisfaction. As AI evolves, its integration across sectors will be vital for maintaining a competitive edge.

https://xonique.dev/blog/artif....icial-intelligence-t

# ArtificialIntelligenceSolutions

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Robert Gorycki

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0 · 0 · Antworten · 1718344612

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Darshan Kothari
Darshan Kothari
@xonique
1 y ·übersetzen

Machine Learning Development Process: From Data Collection to Model Deployment 2024

Machine learning development process spans from data collection, ensuring diverse and clean datasets, to data preprocessing and feature engineering. Model selection and training leverage advanced algorithms, followed by rigorous validation. Finally, models are deployed with robust monitoring systems for performance and scalability, ensuring real-time adaptability and optimization.

More info: https://xonique.dev/blog/machi....ne-learning-developm

#machinelearningdevelopment #machinelearningdevelopmentcompany

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