Certainly, here are some important views & perspectives related to InnoBlockAI & its potential impact on the coming business landscape: 1. Innovation Enabler: InnoBlockAI is positioned at the forefront of innovation, merging blockchain & AI to create synergistic solutions. Its unique approach offers businesses the potential to innovate, optimize operations, & tap into new revenue streams. 2. Enhanced Trust & Security: By integrating blockchain technology, InnoBlockAI enhances trust & security within business processes. Transactions become tamper -proof & transparent, mitigating risks & reducing fraud. 3. Data-Driven Decision Making: InnoBlockAI's AI capabilities provide businesses with data-driven insights. This empowers informed decision-making, enabling companies to optimize strategies, streamline processes, & predict market trends. 4. Efficiency & Automation: The combination of AI & Blockchain offers businesses the opportunity to automate processes, reducing manual interventions & improving efficiency. This can lead to cost savings & improved resource allocation. 5.Disruption Potential: InnoBlockAI has the potential to disrupt traditional business models by introducing innovative ways of handling data, transactions, & interactions. It encourages businesses to adapt & stay competitive in a rapidly changing landscape. 6. Supply Chain Transformation: Businesses can leverage InnoBlockAI to revolutionize supply chain management. Blockchain ensures transparency in the supply chain, while AI optimizes inventory management & demand forecasting. 7. New Revenue Streams: InnoBlockAI opens doors to new revenue streams thru the creation of innovative products & services. Businesses can monetize blockchain-based solutions & AI-driven insights. 8. Customer Experience Enhancement: With AI's ability to analyze customer data & blockchain's assurance of transparency, businesses can enhance customer experiences. Personalized offerings, traceable product origins, & secure transactions can all contribute to improved customer loyalty. 9. Industry Collaboration: InnoBlockAI encourages collaboration b/w businesses within the same industry. By sharing data securely & ethically thru blockchain, competitors can work toogether to solve common challenges. 12. Long-Term Sustainability: Businesses embracing InnoBlockAI may position themselves for long-term sustainability by staying ahead of technological trends & preparing for the digital economy of the future. InnoBlockAI's potential impact on businesses will be broad & multifaceted, offering opportunities for growth, efficiency, security, and innovation. However, as with any emerging technology, businesses should carefully evaluate the specific benefits & challenges that align with their goals and industry context.
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In my last post, a paper titled “Digital Transformation: A Review, Synthesis and Opportunities for Future Research” was discussed. The conceptual model for Digital Transformation in this paper proposed a two-part model for DT: one part is all about Tech and the other is focused on actors, or in other words, organizational roles and acts. (The link to the previous post: https://lnkd.in/dEtX9XMV) Both of these categories have sub-segments that can help us understand the depth and width of DT much better. I should remind you that the line between tech and actors is NOT a rigid concept; meaning that neither of them can achieve a digitally transformed organization without the other. These categories show what themes are most dominant in the literature of DT. First, let’s talk about the technology side of DT. What concerns or outcomes do we expect from the digital age to have an impact on tech topics? In the thematic map for tech-driven themes in literature, there are these topics that need our attention: - Pace of change and time to market - Market environment & rules of competition - Distributed value creation & value capture - Consumer & other stakeholder interface - Technology capability & integration You can clearly see that although we are talking about tech, there aren’t many references to a specific tech (like blockchain). This means that literature on this matter is NOT focused on a single implementation, but a wider understanding is required. Your organization needs to be accepting of new technological changes, because these changes have impacts discussed in the themes above. Next, there are actors that are involved in transforming your company to be digital-ready and ultimately a digital-master. These are the main points of literature on actor-driven challenges and notable points: -Transformative leadership -Work environment -Company culture -Managerial & organizational capabilities Nadkarni and Prügl (authors of this paper) gave a comprehensive look at DT literature and main themes that are worth deeper research. It would be a pleasant reading for beginners in this field and also those who want a refresh in their references. #DigitalTransformation #DigitalStrategy
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From ripples to waves: The transformational power of tokenizing assets Tokenization, the process of creating a unique digital representation of an asset on a blockchain network, has reached a tipping point after many years of promise and experimentation. The benefits—including programmability, composability, and enhanced transparency—can empower financial institutions to capture operational efficiencies, increase liquidity, and create new revenue opportunities through innovative use cases. These benefits are being realized today, with the first at-scale applications transacting trillions of dollars of assets on-chain per month. However, there have been many false starts and challenges thus far. Further integration of these technologies into the mainstream in a robust, secure, and compliant manner will require cooperation and alignment among all involved stakeholders. As infrastructure players pivot away from proofs of concept to robust scaled solutions, many opportunities and challenges remain to reimagine how the future of financial services will work. Comparing the current state of tokenization of financial assets with the emergence of other paradigm-shifting technologies suggests we are in early stages of adoption. Consumer technologies (such as the internet, smartphones, and social media) and financial innovations (such as credit cards and ETFs) typically exhibit their fastest growth (over 100 percent annually) in the first five years after inception.8 Thereafter, we find annual growth slows to around 50 percent, and ultimately a more modest compound annual growth rate of 10 percent to 15 percent is achieved after ten-plus years. Significant issuance of tokenized assets was not seen until the last few years, even though trials began as early as 2017. Our market capitalization estimates for 2030 assume, on average, a compound annual growth of 75 percent across asset classes, with Wave 1 assets leading the way. Although it is fair to expect tokenization to spur such a multidecadal transformation of the financial industry, there may be particular benefits for early movers who are able to “catch the wave.” Pioneers can capture oversized market share (especially in markets benefiting from economies of scale), enhance their own efficiency, and set the agenda for formats and standards, as well as benefit from the reputational halo of embracing emerging innovation. Early movers in tokenized cash payments and on-chain repos have demonstrated this. https://lnkd.in/e4VN4t-7
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🌐💻 Exciting Times in Tech: Embracing the Latest Trends! 🚀📈 Looking to stay ahead of the game in the world of technology? Join me on a journey through the latest tech trends, world affairs, SaaS ideas, and more. Let's dive in! 🌍💡 🚀 Trend #1: AI Advancements: Artificial Intelligence is reshaping how we interact with technology. From chatbots to self-driving cars, AI is revolutionizing various industries. Follow #AIRevolution for the latest developments! #TechTrends 📈 Trend #2: Web3 Disruption: Enter the decentralized web era! Web3 technologies like blockchain and smart contracts are unlocking new possibilities. Explore #Web3 and gain insights into the decentralized future! #Decentralization 💸 Trend #3: Fintech Revolution: The finance industry is undergoing a massive transformation. From digital wallets to robo-advisors, fintech is empowering individuals and businesses worldwide. Stay updated with #FinTechRevolution! #FinanceInnovation 🌐 Trend #4: SaaS Innovations: Software as a Service (SaaS) has become the backbone of modern businesses. From collaboration tools to cloud infrastructure, SaaS solutions are driving efficiency and productivity. Discover #SaaSInnovations today! #SoftwareAdvances 🌍 Trend #5: Global Affairs Impact: In an interconnected world, keeping an eye on global affairs is crucial. Geopolitical events affect the tech landscape, influencing regulations and market dynamics. Stay informed with #GlobalTechNews! #WorldAffairs 🔍 Are you ready to explore the ever-evolving tech ecosystem? Follow me for regular updates on the latest tech trends, insights, and ideas. Let's connect and navigate this exciting journey together! 🤝🔥 #TechTrends #Fintech #AI #SaaS #Web3 #Innovation #DigitalTransformation #StayInformed https://gjam.in
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🚀 Embracing the Future: Web3 and AI Join Forces! 🌐💡 Post 5 of 100 Let's delve into the heart of global commerce – supply chain management – and envision a future where Web3 and AI converge to redefine the way we track, manage, and optimize the flow of goods across the globe. 🌐 Transparent Traceability: Web3 introduces an era of transparent and immutable ledgers through blockchain technology. Every step of the supply chain, from manufacturing to delivery, can be recorded securely. This transparency not only minimizes the risk of fraud but also empowers consumers to trace the origin and journey of products, fostering a new level of trust. 🤖 AI-Driven Predictive Analytics: The marriage of Web3 and AI empowers supply chain managers with unprecedented insights. AI-driven predictive analytics, fueled by decentralized data sources, anticipate demand fluctuations, optimize inventory levels, and enhance overall supply chain efficiency. It's not just about reacting; it's about predicting and staying ahead of the curve. 🚚 Decentralized Collaboration: Web3's collaborative ecosystems provide a decentralized platform for all stakeholders in the supply chain. From manufacturers to logistics providers, the entire network can collaborate seamlessly, sharing real-time data securely. This decentralized collaboration minimizes delays, reduces errors, and fosters a more agile and responsive supply chain. 💡 Smart Contracts Streamlining Transactions: Enter the era of smart contracts! Web3's blockchain technology enables the automation of contractual agreements in the supply chain. Payments, customs processes, and delivery confirmations can be executed automatically based on predefined conditions, reducing paperwork, minimizing disputes, and accelerating transaction processes. 🌐 Crafting the Future of Supply Chain: As we navigate the Web3 landscape, imagine a supply chain where transparency, efficiency, and collaboration reign supreme. Stay tuned for upcoming posts as we continue to unravel the potential, challenges, and innovations that lie ahead in this exciting intersection of decentralized principles, AI, and supply chain management! 🌐🚀📦 #Web3 #SupplyChainRevolution #BlockchainInSupplyChain #AIIntegration #FutureOfCommerce
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Senior SAP Finance Control Consultant bei ISAP Solutions FZE. Blockchain | Wallet | NFT | DeFi | Metaverse |
What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey & Company research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments
What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments Enrico Marcel Richard Panagiotis David Efi Theodora Florian
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Co-Founder / CTO - FinTech & RegTech Enthusiast l P2P / B2B Remittance l Payments l eKYC | CCY Xchange l Wholesale Bank Note l Data Mart - ALM/Basel 3/FTP/IFRS9/FRTB l Reg Reporting l Masking | SWIFT Integration
#FinTech — Financial Technology companies relying primarily on technology and innovative business models to offer financial services, affecting how users store, save, borrow, invest, move, pay, and protect money. Informative sharing by Sam Boboev on 'What is FinTech !!
What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments Enrico Marcel Richard Panagiotis David Efi Theodora Florian
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The Untold Secret Behind Staying Ahead in Tech Innovation In the tech industry, it's easy to get caught up in the latest buzzwords—AI, blockchain, Web3—but here’s the reality: It’s not just about adopting new tech, it’s about aligning it with real business outcomes. At PCtronics, we’ve spent over 20 years helping organizations pivot and thrive through market shifts, whether it's building resilient IT systems or innovating with digital marketing strategies. 🌐 But what often gets overlooked? It’s the power of integrating old-school problem-solving with futuristic solutions. 🔍 Here’s what we’ve found: Reinvent What Works: Often, it’s not about adopting a brand new solution, but re-engineering what already exists. Strategic Partnerships: We’ve seen that the companies thriving in this new era are leveraging relationships rather than just technology. How do you leverage collaboration in your space? Adopt a Learning Culture: The fastest-growing organizations aren’t just using AI—they’re training teams to be adaptive learners first. In a world obsessed with the next big thing, sometimes the true innovation lies in making the fundamentals smarter, faster, and more resilient. What strategies have helped you stay ahead? Let’s exchange some insights below. 💬👇 "Let’s connect and dive deeper—what’s the biggest lesson you’ve learned in balancing innovation with practicality?"
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What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments
What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments Enrico Marcel Richard Panagiotis David Efi Theodora Florian
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What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments
What is fintech? Fintechs are companies that rely primarily on technology and cloud services—and less so on physical locations—to provide financial services to customers. Which technologies are shaping the future of fintech? ✅ Over the next few years, we predict that the following seven technologies will advance fintech development while shaping the competitive landscape of finance: 🔹 Artificial intelligence (AI) will propel massive value creation. Banks and other financial institutions are poised to adopt an AI-first mindset that will better prepare them to fend off expanding technology firms. McKinsey estimates that generative AI technologies alone may add up to $4.4 trillion annually to the global economy. 🔹 Blockchain. Blockchain will disrupt established financial protocols by allowing the storage of financial transactions in multiple places at once. Technologies such as smart contracts, zero-knowledge proof (a way of proving you have a piece of information without revealing what the information is), and distributed data storage and exchange—essential to existing fintech innovations such as digital wallets, digital assets, decentralized finance, and nonfungible tokens—will continue to play a prominent role. 🔹 Cloud computing. McKinsey research indicates that by 2030, cloud technology will account for EBITDA (earnings before interest, tax, depreciation, and amortization) in excess of $1 trillion across the world’s top 500 companies. For financial-services companies, cloud computing will increase efficiency and lower costs. 🔹 The Internet of Things (IoT). IoT applications for the finance industry include perception and smart sensor systems, wireless communication networks, and application and operations support. 🔹 Open-source software, serverless architecture, and software as a service (SaaS). These three technologies have become must-haves for technology companies and traditional financial institutions launching new fintech businesses. They enable increased speed and scalability, both critical for new businesses competing in the winner-takes-all digital economy. 🔹 No- and low-code development platforms. These allow programmers and general users to develop applications through graphical user interfaces and configurations (such as drag-and-drop) instead of traditional computer programming. 🔹 Hyper-automation. Hyper-automation is the use of AI, deep learning, event-based software, and other technologies and tools to improve decision-making efficiency and work automation. Subscribe for more insights https://lnkd.in/d94JgWBU Source McKinsey #fintech #blockchain #payments Enrico Marcel Richard Panagiotis David Efi Theodora Florian
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Coming up "Top 24 Web3.0 Trends for Enterprises in 2024" Via Block Stack Join us for Enterprise Web 3.0 Momentum https://lnkd.in/dCU-JJ7g If you are looking forward to Web 3.0 Transformation, and Blockchain Adoption for your company & for more such insights in 2024 while we are coming with the next version of Report - Follow us ! Web 3.0 is a harbinger of new opportunities and exciting possibilities for the World. With the Rise of #Blockchain, Artificial Intelligence, #Metaverse, 5G, and Cloud Computing Technologies. We will cover Best Trends into 1. Technology & Research Momentum - Security , Interoperability 2. Path Breaking Business Trends 3. Regulatory Governance , Frameworks 4. Global Trending Aspects , Tokenization , CBDC , ESG Certainly, Web 3.0 has great potential to accelerate innovation for Governments, Industries, Corporates, and Academia. A global collaboration approach for creating awareness and sharing best practices is very important to harness the full potential of this next generation of Web 3.0 during the start of 2024 . Global Influencer Dr Jane Thomason says - ““ Web3, big data, automation, artificial intelligence, big data and platformization will drive sustainability measurement, investment and transparency. Investor demand will will make measurement of sustainability performance essential for securing capital, both debt and equity. Investment decisions will be data driven with precise impact measurement allowing investors to monitor the progress of their investments towards sustainability outcomes. Consumers will demand that companies have sustainability strategies and AI algorithms will use social media data to provide insights into the positive or negative effects of a company's actions on society. Web 3.0, will be the infrastructure that connects social and environmental values between companies and people (such as green bonds, social impact bonds, company loyalty schemes, and carbon accounting). " Stay Tuned .... Top 21 Web3 Trends for 2024, by Block Stack, is a thought leadership step in that direction with Global Influencers Chirag Jetani | Utpal Chakraborty | Vikram Pandya | Col (Dr.) Inderjeet Singh | Sharat Chandra | Prof. Dr. Ingrid Vasiliu-Feltes | Pankaj Diwan| Oriol Caudevilla | Rohas Nagpal | Kamlesh Nagware | Rajesh Dhuddu | Ashish Singhal | Tanvi Ratna | Julian Gordon | Dr Jane Thomason | Camilla Bullock | Monica Jasuja | Arjun Vir Singh | Prasanna Lohar | Dr Ritesh Jain | Suresh Khadakbhavi
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Coming up "Top 24 Web3.0 Trends for Enterprises in 2024" Via Block Stack Join us for Enterprise Web 3.0 Momentum https://lnkd.in/dCU-JJ7g If you are looking forward to Web 3.0 Transformation, and Blockchain Adoption for your company & for more such insights in 2024 while we are coming with the next version of Report - Follow us ! Web 3.0 is a harbinger of new opportunities and exciting possibilities for the World. With the Rise of #Blockchain, Artificial Intelligence, #Metaverse, 5G, and Cloud Computing Technologies. We will cover Best Trends into 1. Technology & Research Momentum - Security , Interoperability 2. Path Breaking Business Trends 3. Regulatory Governance , Frameworks 4. Global Trending Aspects , Tokenization , CBDC , ESG Certainly, Web 3.0 has great potential to accelerate innovation for Governments, Industries, Corporates, and Academia. A global collaboration approach for creating awareness and sharing best practices is very important to harness the full potential of this next generation of Web 3.0 during the start of 2024 . Global Influencer Dr Jane Thomason says - ““ Web3, big data, automation, artificial intelligence, big data and platformization will drive sustainability measurement, investment and transparency. Investor demand will will make measurement of sustainability performance essential for securing capital, both debt and equity. Investment decisions will be data driven with precise impact measurement allowing investors to monitor the progress of their investments towards sustainability outcomes. Consumers will demand that companies have sustainability strategies and AI algorithms will use social media data to provide insights into the positive or negative effects of a company's actions on society. Web 3.0, will be the infrastructure that connects social and environmental values between companies and people (such as green bonds, social impact bonds, company loyalty schemes, and carbon accounting). " Stay Tuned .... Top 21 Web3 Trends for 2024, by Block Stack, is a thought leadership step in that direction with Global Influencers Chirag Jetani | Utpal Chakraborty | Vikram Pandya | Col (Dr.) Inderjeet Singh | Sharat Chandra | Prof. Dr. Ingrid Vasiliu-Feltes | Pankaj Diwan| Oriol Caudevilla | Rohas Nagpal | Kamlesh Nagware | Rajesh Dhuddu | Ashish Singhal | Tanvi Ratna | Julian Gordon | Dr Jane Thomason | Camilla Bullock | Monica Jasuja | Arjun Vir Singh | Prasanna Lohar | Dr Ritesh Jain | Suresh Khadakbhavi
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