• https://www.h2kinfosys.com/courses/data-analytics-online-training-program/
    https://www.h2kinfosys.com/courses/data-analytics-online-training-program/
    0 Reacties 0 aandelen 306 Views 0 voorbeeld
  • https://www.h2kinfosys.com/blog/unlock-valuable-insights-with-data-analytics-intro/

    #GoogleDataAnalyticsCertification
    #OnlineDataAnalyticsCertificate
    #DataAnalyticscertificateonline
    #dataAnalyticscourseonline
    #onlinecoursesfordataAnalytics
    #dataanalyticclassesonline
    #coursefordataAnalytics
    https://www.h2kinfosys.com/blog/unlock-valuable-insights-with-data-analytics-intro/ #GoogleDataAnalyticsCertification #OnlineDataAnalyticsCertificate #DataAnalyticscertificateonline #dataAnalyticscourseonline #onlinecoursesfordataAnalytics #dataanalyticclassesonline #coursefordataAnalytics
    WWW.H2KINFOSYS.COM
    Unlock Valuable Insights with Data Analytics Intro
    Explore the power of Data Analytics Intro with online courses and certifications. Learn about the Google Data Analytics Certification and other courses to advance your career.
    0 Reacties 0 aandelen 398 Views 0 voorbeeld
  • Join 360DigiTMG’s Data Analytics Training in Gurgaon. Gain hands-on experience in data analysis & visualization. Enroll now!

    https://360digitmg.com/india/gurgaon/data-analytics-certification-course-training-institute
    #datascience #360digiTMG
    Join 360DigiTMG’s Data Analytics Training in Gurgaon. Gain hands-on experience in data analysis & visualization. Enroll now! https://360digitmg.com/india/gurgaon/data-analytics-certification-course-training-institute #datascience #360digiTMG
    0 Reacties 0 aandelen 391 Views 0 voorbeeld
  • Best Online + Offline Data Analytics Course in Pune

    In today’s digital economy, data is more than just numbers—it's the foundation of smart business decisions. If you’re looking to break into this high-growth field, enrolling in the best data analytics training in Pune can give you the competitive edge you need.
    This top-rated institute stands out for its hands-on learning approach, shifting the focus from memorizing theory to practical application. From day one, students work on real datasets, solve actual business problems, and gain familiarity with tools and techniques used by leading companies around the world.




    Visit for more info :- https://360digitmg.com/india/pune/data-analytics-certification-course-training-institute
    Best Online + Offline Data Analytics Course in Pune In today’s digital economy, data is more than just numbers—it's the foundation of smart business decisions. If you’re looking to break into this high-growth field, enrolling in the best data analytics training in Pune can give you the competitive edge you need. This top-rated institute stands out for its hands-on learning approach, shifting the focus from memorizing theory to practical application. From day one, students work on real datasets, solve actual business problems, and gain familiarity with tools and techniques used by leading companies around the world. Visit for more info :- https://360digitmg.com/india/pune/data-analytics-certification-course-training-institute
    360DIGITMG.COM
    Data Analytics Courses in Pune with Placement Assistance
    Enroll in Data Analytics Certification course in Pune at 360DigiTMG. Get expert training, certification, and placement support. Advance your career today!
    0 Reacties 0 aandelen 603 Views 0 voorbeeld
  • Bridging the Gap: Pathways for India to Accelerate Technology, Science, and Industrial Output:- (Part 1)

    New Delhi, India - For India to meaningfully close the gap with China in technology, science, and industrial output, a multi-pronged, sustained, and strategic effort is paramount. While India possesses significant latent potential, experts and policy analyses suggest a concerted push across several key domains. This involves not just emulating certain aspects of China's growth but forging its own path suited to its democratic framework and unique strengths.

    Here are some of the crucial areas and actionable insights for India:

    1. Turbocharging Research & Development (R&D) and Fostering an Innovation Ecosystem:

    Significantly Increase R&D Investment: India's Gross Expenditure on R&D (GERD) hovers around 0.7% of GDP, considerably lower than China's (over 2.4%) and the global average. A national mission to progressively increase GERD to at least 2-3% of GDP within the next decade, with substantial contributions from both public and private sectors, is crucial.

    Catalyze Private Sector R&D: Introduce more attractive tax incentives, grants, and risk-sharing mechanisms for companies investing in R&D. Foster stronger industry-academia collaborations, encouraging businesses to fund research in universities and co-develop technologies.
    Strengthen University Research: Enhance funding for universities, modernize research infrastructure, and promote a culture of innovation and entrepreneurship within academic institutions. Reduce bureaucratic hurdles for researchers.

    Streamline Intellectual Property (IP) Regime: Further simplify and expedite the patenting process, ensure robust IP protection, and create mechanisms for effective technology transfer and commercialization of research.
    Establish National Missions in Key Technologies: Identify and aggressively fund national missions in strategic areas like Artificial Intelligence (AI), quantum computing, advanced materials, biotechnology, and renewable energy technologies.

    2. Reinvigorating the Manufacturing Sector and Scaling Industrial Output:
    Enhance 'Make in India' with Strategic Focus: Move beyond broad strokes to identify and nurture specific high-potential manufacturing sectors where India can achieve global competitiveness. This requires targeted policies, infrastructure support, and skill development initiatives for these champion sectors.
    Improve Ease of Doing Business and Reduce Regulatory Burden: While progress has been made, continued efforts are needed to simplify regulations, streamline approval processes (especially at the state level), ensure contract enforcement, and improve the speed of dispute resolution.

    Implement Comprehensive Labor Reforms: Introduce flexible labor laws that balance worker welfare with the needs of modern industry, encouraging formal employment and larger-scale manufacturing.

    Develop World-Class Industrial Infrastructure and Logistics: Aggressively expand and upgrade industrial parks, ports, road and rail connectivity, power supply, and logistics networks to reduce costs and improve efficiency. The National Logistics Policy is a step in the right direction but needs rigorous implementation.
    Attract Quality Foreign Direct Investment (FDI): Focus on attracting FDI into high-tech manufacturing, R&D facilities, and export-oriented units. Ensure a stable, predictable, and transparent policy environment.

    Integrate into Global Value Chains (GVCs): Actively work to become a more significant node in global supply chains by improving competitiveness, meeting international quality standards, and fostering an environment conducive to complex manufacturing.

    Boost Domestic Demand and Import Substitution (Strategically): Encourage domestic consumption of locally manufactured goods while strategically pursuing import substitution in critical sectors, without resorting to undue protectionism that stifles competitiveness.

    3. Transforming Education and Skill Development for the Future:
    Overhaul the Education System: Modernize curricula at all levels to emphasize critical thinking, problem-solving, creativity, and digital literacy. Promote STEM (Science, Technology, Engineering, and Mathematics) education from an early age.

    Massive Push for Vocational Training and Skilling: Align vocational training programs with current and future industry needs. Scale up high-quality skilling, reskilling, and upskilling initiatives, possibly through public-private partnerships.
    Improve Quality of Higher Education: Invest in improving the quality of engineering, science, and technology institutions. Foster greater collaboration between academic institutions and industry for curriculum development, internships, and research projects.

    Attract and Retain Talent: Create an environment that nurtures domestic talent and attracts global talent, including Indian researchers and technologists working abroad.

    4. Ensuring Robust and Future-Ready Infrastructure:
    Sustained Infrastructure Investment: Continue the focus on building and upgrading physical infrastructure (transport, energy, urban) and digital infrastructure (nationwide high-speed internet, data centers).
    Green Infrastructure: Prioritize investments in renewable energy, sustainable transportation, and green buildings to ensure environmentally sustainable industrial growth.

    5. Enabling Agile Governance and Strategic Policymaking:
    Long-Term Strategic Vision with Agile Implementation: Develop a clear, long-term vision for technological and industrial development, but ensure that implementation strategies are agile and can adapt to changing global dynamics.
    Inter-Ministerial Coordination: Strengthen coordination between various government ministries and departments (e.g., Commerce, Industry, Science & Technology, Education, Finance) to ensure policy coherence.

    Evidence-Based Policymaking: Utilize data analytics and expert consultations to inform policy decisions and monitor their effectiveness.
    Strengthen Federal Cooperation: Ensure close cooperation between the central and state governments to implement national policies effectively and create a uniformly business-friendly environment across the country.
    (Part 2 ...Coming Soon)

    By Jo Ikeji-Uju
    https://afriprime.net/pages/Anything
    Bridging the Gap: Pathways for India to Accelerate Technology, Science, and Industrial Output:- (Part 1) New Delhi, India - For India to meaningfully close the gap with China in technology, science, and industrial output, a multi-pronged, sustained, and strategic effort is paramount. While India possesses significant latent potential, experts and policy analyses suggest a concerted push across several key domains. This involves not just emulating certain aspects of China's growth but forging its own path suited to its democratic framework and unique strengths. Here are some of the crucial areas and actionable insights for India: 1. Turbocharging Research & Development (R&D) and Fostering an Innovation Ecosystem: Significantly Increase R&D Investment: India's Gross Expenditure on R&D (GERD) hovers around 0.7% of GDP, considerably lower than China's (over 2.4%) and the global average. A national mission to progressively increase GERD to at least 2-3% of GDP within the next decade, with substantial contributions from both public and private sectors, is crucial. Catalyze Private Sector R&D: Introduce more attractive tax incentives, grants, and risk-sharing mechanisms for companies investing in R&D. Foster stronger industry-academia collaborations, encouraging businesses to fund research in universities and co-develop technologies. Strengthen University Research: Enhance funding for universities, modernize research infrastructure, and promote a culture of innovation and entrepreneurship within academic institutions. Reduce bureaucratic hurdles for researchers. Streamline Intellectual Property (IP) Regime: Further simplify and expedite the patenting process, ensure robust IP protection, and create mechanisms for effective technology transfer and commercialization of research. Establish National Missions in Key Technologies: Identify and aggressively fund national missions in strategic areas like Artificial Intelligence (AI), quantum computing, advanced materials, biotechnology, and renewable energy technologies. 2. Reinvigorating the Manufacturing Sector and Scaling Industrial Output: Enhance 'Make in India' with Strategic Focus: Move beyond broad strokes to identify and nurture specific high-potential manufacturing sectors where India can achieve global competitiveness. This requires targeted policies, infrastructure support, and skill development initiatives for these champion sectors. Improve Ease of Doing Business and Reduce Regulatory Burden: While progress has been made, continued efforts are needed to simplify regulations, streamline approval processes (especially at the state level), ensure contract enforcement, and improve the speed of dispute resolution. Implement Comprehensive Labor Reforms: Introduce flexible labor laws that balance worker welfare with the needs of modern industry, encouraging formal employment and larger-scale manufacturing. Develop World-Class Industrial Infrastructure and Logistics: Aggressively expand and upgrade industrial parks, ports, road and rail connectivity, power supply, and logistics networks to reduce costs and improve efficiency. The National Logistics Policy is a step in the right direction but needs rigorous implementation. Attract Quality Foreign Direct Investment (FDI): Focus on attracting FDI into high-tech manufacturing, R&D facilities, and export-oriented units. Ensure a stable, predictable, and transparent policy environment. Integrate into Global Value Chains (GVCs): Actively work to become a more significant node in global supply chains by improving competitiveness, meeting international quality standards, and fostering an environment conducive to complex manufacturing. Boost Domestic Demand and Import Substitution (Strategically): Encourage domestic consumption of locally manufactured goods while strategically pursuing import substitution in critical sectors, without resorting to undue protectionism that stifles competitiveness. 3. Transforming Education and Skill Development for the Future: Overhaul the Education System: Modernize curricula at all levels to emphasize critical thinking, problem-solving, creativity, and digital literacy. Promote STEM (Science, Technology, Engineering, and Mathematics) education from an early age. Massive Push for Vocational Training and Skilling: Align vocational training programs with current and future industry needs. Scale up high-quality skilling, reskilling, and upskilling initiatives, possibly through public-private partnerships. Improve Quality of Higher Education: Invest in improving the quality of engineering, science, and technology institutions. Foster greater collaboration between academic institutions and industry for curriculum development, internships, and research projects. Attract and Retain Talent: Create an environment that nurtures domestic talent and attracts global talent, including Indian researchers and technologists working abroad. 4. Ensuring Robust and Future-Ready Infrastructure: Sustained Infrastructure Investment: Continue the focus on building and upgrading physical infrastructure (transport, energy, urban) and digital infrastructure (nationwide high-speed internet, data centers). Green Infrastructure: Prioritize investments in renewable energy, sustainable transportation, and green buildings to ensure environmentally sustainable industrial growth. 5. Enabling Agile Governance and Strategic Policymaking: Long-Term Strategic Vision with Agile Implementation: Develop a clear, long-term vision for technological and industrial development, but ensure that implementation strategies are agile and can adapt to changing global dynamics. Inter-Ministerial Coordination: Strengthen coordination between various government ministries and departments (e.g., Commerce, Industry, Science & Technology, Education, Finance) to ensure policy coherence. Evidence-Based Policymaking: Utilize data analytics and expert consultations to inform policy decisions and monitor their effectiveness. Strengthen Federal Cooperation: Ensure close cooperation between the central and state governments to implement national policies effectively and create a uniformly business-friendly environment across the country. (Part 2 ...Coming Soon) By Jo Ikeji-Uju https://afriprime.net/pages/Anything
    AFRIPRIME.NET
    Anything Goes
    Share your memories, connect with others, make new friends
    0 Reacties 0 aandelen 3K Views 0 voorbeeld
  • Big Data Investment Trends in Banking Sector 2032

    View Full Report: https://dataintelo.com/report/big-data-analytics-in-banking-market

    The Big Data Analytics in Banking Market is experiencing significant growth, driven by rising demand for real-time insights, predictive modeling, and enhanced customer experiences across global financial institutions. With the ongoing digital transformation and rapid advancements in AI and machine learning, banking systems are leveraging data analytics to streamline operations, mitigate risk, and deliver personalized services.
    Big Data Investment Trends in Banking Sector 2032 View Full Report: https://dataintelo.com/report/big-data-analytics-in-banking-market The Big Data Analytics in Banking Market is experiencing significant growth, driven by rising demand for real-time insights, predictive modeling, and enhanced customer experiences across global financial institutions. With the ongoing digital transformation and rapid advancements in AI and machine learning, banking systems are leveraging data analytics to streamline operations, mitigate risk, and deliver personalized services.
    DATAINTELO.COM
    Big Data Analytics in Banking Market Report | Global Forecast From 2025 To 2033
    The Big Data Analytics in Banking market size was valued at approximately USD 23.5 billion in 2023, and it is projected to grow to USD 67.2 billion by 2032, showcasing a robust CAGR of 12.3%.
    0 Reacties 0 aandelen 2K Views 0 voorbeeld
  • Global Demand for AI in Big Data Analytics 2032

    View Full Report: https://dataintelo.com/report/global-artificial-intelligence-in-big-data-analysis-market

    The Artificial Intelligence in Big Data Analysis Market is undergoing a remarkable transformation as enterprises increasingly leverage AI technologies to harness actionable insights from vast datasets. With the ever-growing complexity and volume of digital information, organizations across sectors are shifting toward AI-powered analytics to drive decision-making, reduce operational inefficiencies, and create new revenue streams.
    Global Demand for AI in Big Data Analytics 2032 View Full Report: https://dataintelo.com/report/global-artificial-intelligence-in-big-data-analysis-market The Artificial Intelligence in Big Data Analysis Market is undergoing a remarkable transformation as enterprises increasingly leverage AI technologies to harness actionable insights from vast datasets. With the ever-growing complexity and volume of digital information, organizations across sectors are shifting toward AI-powered analytics to drive decision-making, reduce operational inefficiencies, and create new revenue streams.
    DATAINTELO.COM
    Artificial Intelligence in Big Data Analysis Market Report | Global Forecast From 2025 To 2033
    The global market size for artificial intelligence in big data analysis was valued at approximately $45 billion in 2023 and is projected to reach around $210 billion by 2032, growing at a remarkable CAGR of 18.7% during the forecast period.
    0 Reacties 0 aandelen 1K Views 0 voorbeeld
  • https://www.quora.com/profile/Silverskills/CRE-Technology-and-Data-Analytics-Building-Intelligent-Real-Estate-Solutions
    https://www.quora.com/profile/Silverskills/CRE-Technology-and-Data-Analytics-Building-Intelligent-Real-Estate-Solutions
    0 Reacties 0 aandelen 655 Views 0 voorbeeld
  • Unlocking Insurance Innovation: Insurtech Market Growth Drivers and Opportunities

    According to MRFR analysis, the Insurtech Market was valued at USD 9.79 billion in 2023 and is projected to grow from USD 10.88 billion in 2024 to approximately USD 35 billion by 2035, reflecting a compound annual growth rate (CAGR) of around 11.2% during the forecast period from 2025 to 2035.

    The Insurtech Market—a blend of “insurance” and “technology”—is revolutionizing the insurance industry through innovations like AI, big data, IoT, blockchain, and automation. These technologies are enabling faster claims processing, personalized policies, and enhanced customer experience.

    Request a Free Sample Copy or View Report Summary: https://www.marketresearchfuture.com/sample_request/11712

    Market Scope
    The scope of the insurtech market spans across:

    Technology Solutions: AI, machine learning, blockchain, cloud computing, telematics, and robo-advisors.

    Application Areas: Life, health, property & casualty, auto, and travel insurance.

    Deployment Models: On-premise and cloud-based.

    End-Users: Insurance companies, third-party administrators, and brokers.

    Insurtech companies focus on delivering efficiency through automation, customer-centric platforms, and data-driven decision-making, disrupting traditional insurance business models.

    Regional Insights
    North America dominates the global insurtech market due to early technology adoption, presence of major players, and supportive regulations.

    Europe is seeing rapid adoption of digital insurance platforms, particularly in the UK, Germany, and France, bolstered by open banking and GDPR.

    Asia-Pacific is the fastest-growing region, driven by expanding internet penetration, growing middle class, and innovation hubs in countries like India, China, and Singapore.

    Latin America and Middle East & Africa are emerging markets, with mobile-based microinsurance gaining traction in underserved communities.

    Growth Drivers and Challenges
    Key Growth Drivers:

    Digital-First Consumers: Demand for convenient, transparent, and real-time insurance services.

    Cost Efficiency: Automation reduces operational costs and human errors.

    Data Analytics & AI: Enhanced risk assessment, underwriting, and fraud detection.

    Pandemic Influence: COVID-19 accelerated the need for contactless, digital insurance processes.

    Challenges:

    Regulatory Hurdles: Varying global insurance regulations can delay product rollouts.

    Cybersecurity Concerns: Increased digital exposure raises the risk of data breaches.

    Customer Trust: New models like pay-as-you-go may face skepticism.

    Integration Complexity: Blending legacy systems with new tech can be costly and complex.

    Opportunities
    Blockchain-Based Claims Processing: Streamlining and securing claims through decentralized platforms.

    Usage-Based Insurance (UBI): Growth in auto and health sectors through IoT-enabled monitoring.

    AI Chatbots and Virtual Assistants: Improving customer service and reducing support costs.

    Insurance for Gig Economy: Custom microinsurance plans for freelancers and gig workers.

    Embedded Insurance: Integrating insurance offerings directly into e-commerce or fintech platforms.

    Key Players Analysis
    Lemonade Inc. – AI-powered insurance for renters, homeowners, and pet owners.

    Root Insurance – Usage-based auto insurance using smartphone telematics.

    ZhongAn – China’s leading digital-only insurer leveraging AI and blockchain.

    Oscar Health – Tech-driven health insurance company with user-centric services.

    PolicyBazaar – Leading Indian insurtech platform for insurance comparison and purchase.

    Next Insurance, Clover Health, Metromile, Trōv, and CoverHound are also key innovators expanding globally.

    Buy Research Report (111 Pages, Charts, Tables, Figures) – https://www.marketresearchfuture.com/checkout?currency=one_user-USD&report_id=11712

    Conclusion
    The Insurtech Market is reshaping the traditional insurance industry by prioritizing customer-centric, data-driven, and digital-first models. Despite regulatory and integration challenges, the sector is poised for strong growth, with significant opportunities in AI, blockchain, and customized insurance solutions. As both startups and incumbents adapt to technological advancements, insurtech is set to become a core pillar of the insurance landscape of the future.

    Related Report

    Data Center Fabric Market: https://www.marketresearchfuture.com/reports/data-center-fabric-market-29121

    Data Center Logical Security Market: https://www.marketresearchfuture.com/reports/data-center-logical-security-market-29022

    Database Security Market: https://www.marketresearchfuture.com/reports/database-security-market-29024

    Delivery As A Service Market: https://www.marketresearchfuture.com/reports/delivery-as-a-service-market-29133

    Dns Dhcp Ip Address Management Market: https://www.marketresearchfuture.com/reports/dns-dhcp-ip-address-management-market-29036
    Unlocking Insurance Innovation: Insurtech Market Growth Drivers and Opportunities According to MRFR analysis, the Insurtech Market was valued at USD 9.79 billion in 2023 and is projected to grow from USD 10.88 billion in 2024 to approximately USD 35 billion by 2035, reflecting a compound annual growth rate (CAGR) of around 11.2% during the forecast period from 2025 to 2035. The Insurtech Market—a blend of “insurance” and “technology”—is revolutionizing the insurance industry through innovations like AI, big data, IoT, blockchain, and automation. These technologies are enabling faster claims processing, personalized policies, and enhanced customer experience. Request a Free Sample Copy or View Report Summary: https://www.marketresearchfuture.com/sample_request/11712 Market Scope The scope of the insurtech market spans across: Technology Solutions: AI, machine learning, blockchain, cloud computing, telematics, and robo-advisors. Application Areas: Life, health, property & casualty, auto, and travel insurance. Deployment Models: On-premise and cloud-based. End-Users: Insurance companies, third-party administrators, and brokers. Insurtech companies focus on delivering efficiency through automation, customer-centric platforms, and data-driven decision-making, disrupting traditional insurance business models. Regional Insights North America dominates the global insurtech market due to early technology adoption, presence of major players, and supportive regulations. Europe is seeing rapid adoption of digital insurance platforms, particularly in the UK, Germany, and France, bolstered by open banking and GDPR. Asia-Pacific is the fastest-growing region, driven by expanding internet penetration, growing middle class, and innovation hubs in countries like India, China, and Singapore. Latin America and Middle East & Africa are emerging markets, with mobile-based microinsurance gaining traction in underserved communities. Growth Drivers and Challenges Key Growth Drivers: Digital-First Consumers: Demand for convenient, transparent, and real-time insurance services. Cost Efficiency: Automation reduces operational costs and human errors. Data Analytics & AI: Enhanced risk assessment, underwriting, and fraud detection. Pandemic Influence: COVID-19 accelerated the need for contactless, digital insurance processes. Challenges: Regulatory Hurdles: Varying global insurance regulations can delay product rollouts. Cybersecurity Concerns: Increased digital exposure raises the risk of data breaches. Customer Trust: New models like pay-as-you-go may face skepticism. Integration Complexity: Blending legacy systems with new tech can be costly and complex. Opportunities Blockchain-Based Claims Processing: Streamlining and securing claims through decentralized platforms. Usage-Based Insurance (UBI): Growth in auto and health sectors through IoT-enabled monitoring. AI Chatbots and Virtual Assistants: Improving customer service and reducing support costs. Insurance for Gig Economy: Custom microinsurance plans for freelancers and gig workers. Embedded Insurance: Integrating insurance offerings directly into e-commerce or fintech platforms. Key Players Analysis Lemonade Inc. – AI-powered insurance for renters, homeowners, and pet owners. Root Insurance – Usage-based auto insurance using smartphone telematics. ZhongAn – China’s leading digital-only insurer leveraging AI and blockchain. Oscar Health – Tech-driven health insurance company with user-centric services. PolicyBazaar – Leading Indian insurtech platform for insurance comparison and purchase. Next Insurance, Clover Health, Metromile, Trōv, and CoverHound are also key innovators expanding globally. Buy Research Report (111 Pages, Charts, Tables, Figures) – https://www.marketresearchfuture.com/checkout?currency=one_user-USD&report_id=11712 Conclusion The Insurtech Market is reshaping the traditional insurance industry by prioritizing customer-centric, data-driven, and digital-first models. Despite regulatory and integration challenges, the sector is poised for strong growth, with significant opportunities in AI, blockchain, and customized insurance solutions. As both startups and incumbents adapt to technological advancements, insurtech is set to become a core pillar of the insurance landscape of the future. Related Report Data Center Fabric Market: https://www.marketresearchfuture.com/reports/data-center-fabric-market-29121 Data Center Logical Security Market: https://www.marketresearchfuture.com/reports/data-center-logical-security-market-29022 Database Security Market: https://www.marketresearchfuture.com/reports/database-security-market-29024 Delivery As A Service Market: https://www.marketresearchfuture.com/reports/delivery-as-a-service-market-29133 Dns Dhcp Ip Address Management Market: https://www.marketresearchfuture.com/reports/dns-dhcp-ip-address-management-market-29036
    WWW.MARKETRESEARCHFUTURE.COM
    Sample Request for Insurtech Market Share, Size, Trends During Forecast 2035
    Sample Request - Insurtech Market size is likely to reach USD 35.0 Billion by 2035, expanding at a CAGR of 11.2% from 2025 to 2035 | Insurtech Market Map
    0 Reacties 0 aandelen 6K Views 0 voorbeeld
  • Join SVIT Bangalore, the best ai college in bangalore, to gain expertise in AI, ML, data analytics, and advanced computing technologies.

    SVIT Bangalore is recognized as the best ai college in bangalore for its rigorous CSE in Artificial Intelligence & Machine Learning program. Students dive deep into AI and ML algorithms, hands‑on data analytics projects, and cutting‑edge computing technologies like GPU programming and distributed systems. SVIT’s partnerships with global tech companies bring guest lectures, internships, and hackathons right to campus, giving you unparalleled industry exposure. With small class sizes, mentorship from expert faculty, and dedicated placement support, SVIT ensures every AI aspirant receives the attention and resources needed to excel. If your goal is to study at the best ai college in bangalore, SVIT Bangalore is the clear choice for comprehensive, future‑focused AI education.

    Visit for more info :- https://saividya.ac.in/department-of-CSE-in-artificial-Intelligence-and-machine-learning
    Join SVIT Bangalore, the best ai college in bangalore, to gain expertise in AI, ML, data analytics, and advanced computing technologies. SVIT Bangalore is recognized as the best ai college in bangalore for its rigorous CSE in Artificial Intelligence & Machine Learning program. Students dive deep into AI and ML algorithms, hands‑on data analytics projects, and cutting‑edge computing technologies like GPU programming and distributed systems. SVIT’s partnerships with global tech companies bring guest lectures, internships, and hackathons right to campus, giving you unparalleled industry exposure. With small class sizes, mentorship from expert faculty, and dedicated placement support, SVIT ensures every AI aspirant receives the attention and resources needed to excel. If your goal is to study at the best ai college in bangalore, SVIT Bangalore is the clear choice for comprehensive, future‑focused AI education. Visit for more info :- https://saividya.ac.in/department-of-CSE-in-artificial-Intelligence-and-machine-learning
    0 Reacties 0 aandelen 1K Views 0 voorbeeld
Zoekresultaten
Sponsor