ºÝºÝߣshows by User: ansh2087 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ansh2087 / Thu, 03 Aug 2023 09:35:12 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ansh2087 Quantum LLM.pptx /slideshow/quantum-llmpptx/259591793 quantumllm-230803093512-efe3001a
Introduction: The frontier of innovation is increasingly shaped by the convergence of transformative technologies. Among these, Generative AI and Quantum Computing stand out, offering untapped potential when harmonized. This proposal delves deep into the fusion of these technologies to sculpt Digital Twins - dynamic, real-time virtual replicas with heightened predictive prowess. Understanding the Technologies: Generative AI: This refers to sophisticated algorithms with the ability to autonomously generate new, high-quality content. Think of it as the artistic hand of AI, crafting images, texts, and other forms of data. Quantum Computing: Beyond the realm of classical bits lies the quantum bit. Quantum Computing uses these bits to enact computations at speeds that classical computers can only dream of. This velocity is not just about speed but also the proficiency in managing immense datasets and intricate computations. Why Quantum Computing is Integral to AI's Evolution: Classic AI models, despite their strengths, hit a wall when faced with monumental data and complex optimization. Quantum Machine Learning (QML) bridges this gap. QML, a vibrant sub-discipline within AI, channels quantum algorithms to supercharge each phase of machine learning. The marriage of Generative AI and Quantum Computing births an ecosystem where training elaborate models not only becomes swift but also diversifies the realm of content generation. Applications within the BFSI Sector: BFSI - Banking, Financial Services, and Insurance - is a realm characterized by data-heavy processes. Imagine a world where: Risk Assessment: Real-time insights from Digital Twins predict market fluctuations with unparalleled precision. Fraud Detection: By harnessing vast datasets, systems instantly flag and mitigate unusual transactions. Portfolio Optimization: Investors access optimized portfolios, benefiting from quantum-enhanced computations that account for countless variables. Algorithmic Trading: The trading world becomes more fluid and responsive, with algorithms making informed decisions in near real-time. Roadmap to Implementation: To bring this vision to life, our interdisciplinary team is poised to: Design models bespoke to BFSI needs. Engage with industry stakeholders, forging strong partnerships. Pilot and refine the approach, ensuring tangible, real-world validation.]]>
Introduction: The frontier of innovation is increasingly shaped by the convergence of transformative technologies. Among these, Generative AI and Quantum Computing stand out, offering untapped potential when harmonized. This proposal delves deep into the fusion of these technologies to sculpt Digital Twins - dynamic, real-time virtual replicas with heightened predictive prowess. Understanding the Technologies: Generative AI: This refers to sophisticated algorithms with the ability to autonomously generate new, high-quality content. Think of it as the artistic hand of AI, crafting images, texts, and other forms of data. Quantum Computing: Beyond the realm of classical bits lies the quantum bit. Quantum Computing uses these bits to enact computations at speeds that classical computers can only dream of. This velocity is not just about speed but also the proficiency in managing immense datasets and intricate computations. Why Quantum Computing is Integral to AI's Evolution: Classic AI models, despite their strengths, hit a wall when faced with monumental data and complex optimization. Quantum Machine Learning (QML) bridges this gap. QML, a vibrant sub-discipline within AI, channels quantum algorithms to supercharge each phase of machine learning. The marriage of Generative AI and Quantum Computing births an ecosystem where training elaborate models not only becomes swift but also diversifies the realm of content generation. Applications within the BFSI Sector: BFSI - Banking, Financial Services, and Insurance - is a realm characterized by data-heavy processes. Imagine a world where: Risk Assessment: Real-time insights from Digital Twins predict market fluctuations with unparalleled precision. Fraud Detection: By harnessing vast datasets, systems instantly flag and mitigate unusual transactions. Portfolio Optimization: Investors access optimized portfolios, benefiting from quantum-enhanced computations that account for countless variables. Algorithmic Trading: The trading world becomes more fluid and responsive, with algorithms making informed decisions in near real-time. Roadmap to Implementation: To bring this vision to life, our interdisciplinary team is poised to: Design models bespoke to BFSI needs. Engage with industry stakeholders, forging strong partnerships. Pilot and refine the approach, ensuring tangible, real-world validation.]]> Thu, 03 Aug 2023 09:35:12 GMT /slideshow/quantum-llmpptx/259591793 ansh2087@slideshare.net(ansh2087) Quantum LLM.pptx ansh2087 Introduction: The frontier of innovation is increasingly shaped by the convergence of transformative technologies. Among these, Generative AI and Quantum Computing stand out, offering untapped potential when harmonized. This proposal delves deep into the fusion of these technologies to sculpt Digital Twins - dynamic, real-time virtual replicas with heightened predictive prowess. Understanding the Technologies: Generative AI: This refers to sophisticated algorithms with the ability to autonomously generate new, high-quality content. Think of it as the artistic hand of AI, crafting images, texts, and other forms of data. Quantum Computing: Beyond the realm of classical bits lies the quantum bit. Quantum Computing uses these bits to enact computations at speeds that classical computers can only dream of. This velocity is not just about speed but also the proficiency in managing immense datasets and intricate computations. Why Quantum Computing is Integral to AI's Evolution: Classic AI models, despite their strengths, hit a wall when faced with monumental data and complex optimization. Quantum Machine Learning (QML) bridges this gap. QML, a vibrant sub-discipline within AI, channels quantum algorithms to supercharge each phase of machine learning. The marriage of Generative AI and Quantum Computing births an ecosystem where training elaborate models not only becomes swift but also diversifies the realm of content generation. Applications within the BFSI Sector: BFSI - Banking, Financial Services, and Insurance - is a realm characterized by data-heavy processes. Imagine a world where: Risk Assessment: Real-time insights from Digital Twins predict market fluctuations with unparalleled precision. Fraud Detection: By harnessing vast datasets, systems instantly flag and mitigate unusual transactions. Portfolio Optimization: Investors access optimized portfolios, benefiting from quantum-enhanced computations that account for countless variables. Algorithmic Trading: The trading world becomes more fluid and responsive, with algorithms making informed decisions in near real-time. Roadmap to Implementation: To bring this vision to life, our interdisciplinary team is poised to: Design models bespoke to BFSI needs. Engage with industry stakeholders, forging strong partnerships. Pilot and refine the approach, ensuring tangible, real-world validation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/quantumllm-230803093512-efe3001a-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction: The frontier of innovation is increasingly shaped by the convergence of transformative technologies. Among these, Generative AI and Quantum Computing stand out, offering untapped potential when harmonized. This proposal delves deep into the fusion of these technologies to sculpt Digital Twins - dynamic, real-time virtual replicas with heightened predictive prowess. Understanding the Technologies: Generative AI: This refers to sophisticated algorithms with the ability to autonomously generate new, high-quality content. Think of it as the artistic hand of AI, crafting images, texts, and other forms of data. Quantum Computing: Beyond the realm of classical bits lies the quantum bit. Quantum Computing uses these bits to enact computations at speeds that classical computers can only dream of. This velocity is not just about speed but also the proficiency in managing immense datasets and intricate computations. Why Quantum Computing is Integral to AI&#39;s Evolution: Classic AI models, despite their strengths, hit a wall when faced with monumental data and complex optimization. Quantum Machine Learning (QML) bridges this gap. QML, a vibrant sub-discipline within AI, channels quantum algorithms to supercharge each phase of machine learning. The marriage of Generative AI and Quantum Computing births an ecosystem where training elaborate models not only becomes swift but also diversifies the realm of content generation. Applications within the BFSI Sector: BFSI - Banking, Financial Services, and Insurance - is a realm characterized by data-heavy processes. Imagine a world where: Risk Assessment: Real-time insights from Digital Twins predict market fluctuations with unparalleled precision. Fraud Detection: By harnessing vast datasets, systems instantly flag and mitigate unusual transactions. Portfolio Optimization: Investors access optimized portfolios, benefiting from quantum-enhanced computations that account for countless variables. Algorithmic Trading: The trading world becomes more fluid and responsive, with algorithms making informed decisions in near real-time. Roadmap to Implementation: To bring this vision to life, our interdisciplinary team is poised to: Design models bespoke to BFSI needs. Engage with industry stakeholders, forging strong partnerships. Pilot and refine the approach, ensuring tangible, real-world validation.
Quantum LLM.pptx from Anshul Saxena
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Conditional Probability]]>
Conditional Probability]]> Sun, 29 Dec 2019 13:02:36 GMT /slideshow/0304-unit3-aconditionalprobabilityandindependence/212382576 ansh2087@slideshare.net(ansh2087) 0304 unit-3 a-conditional-probability-and-independence ansh2087 Conditional Probability <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/0304-unit-3a-conditional-probability-and-independence-191229130236-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Conditional Probability
0304 unit-3 a-conditional-probability-and-independence from Anshul Saxena
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]]> Sat, 09 Jan 2016 14:11:15 GMT /slideshow/anshul-saxenacv-56856083/56856083 ansh2087@slideshare.net(ansh2087) Anshul Saxena_CV ansh2087 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/918ab28f-a345-486b-8dbf-9e2201bda2b9-160109141115-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Anshul Saxena_CV from Anshul Saxena
]]> 632 4 https://cdn.slidesharecdn.com/ss_thumbnails/918ab28f-a345-486b-8dbf-9e2201bda2b9-160109141115-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ansh2087-48x48.jpg?cb=1691055273 Summary of Qualifications • More than five years experience. • Strong exposure to statistical packages such as SAS and data mining tools (e.g. SQL server).Open source tools include R, Qlikview and Python. • Thorough understanding of the concepts of credit scoring. • Strong knowledge of credit risk model development & strategy design. • Proven data processing and statistical analysis experience. • Sound experience of working with complex data from multiple sources. • Excellent PC skills. • Sound logical approach to problem solving in relation to both business and technical issues. • Proven ability to work effectively within a team environment. • Strong verbal and written communica... https://cdn.slidesharecdn.com/ss_thumbnails/quantumllm-230803093512-efe3001a-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/quantum-llmpptx/259591793 Quantum LLM.pptx https://cdn.slidesharecdn.com/ss_thumbnails/0304-unit-3a-conditional-probability-and-independence-191229130236-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/0304-unit3-aconditionalprobabilityandindependence/212382576 0304 unit-3 a-conditio... https://cdn.slidesharecdn.com/ss_thumbnails/918ab28f-a345-486b-8dbf-9e2201bda2b9-160109141115-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/anshul-saxenacv-56856083/56856083 Anshul Saxena_CV