Prasad Prabhakaran

🚀 Funding Alert: Innovate UK’s AI Competency Development Fund 🚀 Innovate UK is offering up to £2 million in grants to UK-registered organisations developing ethical AI learning solutions aimed at building AI competencies in key sectors. This competition, part of the BridgeAI programme, supports upskilling and reskilling the workforce in critical fields through AI-driven, responsible education. 🔹 Funding Available: £50,000 to £100,000 per project 🔹 Focus Sectors: Construction, Transport & Logistics, Creative Industries, Agriculture & Food Processing 🔹 Deadline: 11:00 am, Wednesday 29 January 2025 Project Requirements: Develop ethical and responsible AI learning solutions tailored to industry standards Support high-quality, evidence-based education with clear learning outcomes Align with the AI Skills for Business Competency Framework for potential accreditation Demonstrate how the solution will aid upskilling and reskilling in key sectors Identify an end user to pilot your solution Eligibility: To lead a project, organisations must be UK-registered, involve at least one SME, and may collaborate with businesses, academic institutions, charities, public organisations, or research bodies. This is a competitive process with limited funds, so only top-scoring projects will receive support. By partnering with Acclivity Ventures, you can enhance your funding success and focus on innovation, knowing that your grant applications are in expert hands. https://lnkd.in/ed7qCusm https://lnkd.in/eTWXEJTp

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🚀 Funding Alert: Innovate UK’s AI Competency Development Fund 🚀 Innovate UK is offering up to £2 million in grants to UK-registered organisations developing ethical AI learning solutions aimed at building AI competencies in key sectors. This competition, part of the BridgeAI programme, supports upskilling and reskilling the workforce in critical fields through AI-driven, responsible education. 🔹 Funding Available: £50,000 to £100,000 per project 🔹 Focus Sectors: Construction, Transport & Logistics, Creative Industries, Agriculture & Food Processing 🔹 Deadline: 11:00 am, Wednesday 29 January 2025 Project Requirements: Develop ethical and responsible AI learning solutions tailored to industry standards Support high-quality, evidence-based education with clear learning outcomes Align with the AI Skills for Business Competency Framework for potential accreditation Demonstrate how the solution will aid upskilling and reskilling in key sectors Identify an end user to pilot your solution Eligibility: To lead a project, organisations must be UK-registered, involve at least one SME, and may collaborate with businesses, academic institutions, charities, public organisations, or research bodies. This is a competitive process with limited funds, so only top-scoring projects will receive support. By partnering with Acclivity Ventures, you can enhance your funding success and focus on innovation, knowing that your grant applications are in expert hands. https://lnkd.in/ed7qCusm https://lnkd.in/eTWXEJTp

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National Bureau of Economic Research, @Marco Di Maggio, Pulak Ghosh, Soumya Kanti Ghosh, and Andrew Wu, “Impact of retail CBDC on digital payments, and bank deposits from India” This paper provides the first empirical examination of CBDC transaction usage and its effect on bank deposits. The authors unique CBDC transaction data, monthly UPI and cash volumes, and monthly bank deposit data enables us to test various hypotheses. We consider the competition between CBDC and other digital payment methods and how adverse policies on one affect the usage of another. Our branch-level deposit data also allows us to empirically test the hypothesis that CBDCs can reduce bank deposits. ——— #dataaccess #datainteroperability #FMI #globalsupplychain #crossboarderpayments #securefinancing #fraudprevention #tradefinance #openbanking #fintechdataplatform #tradematters #sustainability #digitaltrade #globaltrade #FinancialMarketInfrastructure #technology #LEI #digitalidentity #C4DTI #paperless #digitalidentities   #innovation  #digitalisation #paperlesstrade #digitaltransformation   #digitaltradechampion #digitaltradeevangelist #openfinance #internationaltrade #digital #crossbordertrade #smartdata #cbdc #regtech #suptech #payments #innovation #banks #digitalrevenueimpact #risk #regulations #digital #m2mi #cybersecurity #risk #banking #embeddedfinance #openbanking #sustainablefinance #iot #money #bankofengland #digitaleconomy #fintech #multicurrency #privacy #artificialintelligence

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12 Bold Predictions About the Future of Technology In his TED talk (https://lnkd.in/digaGyU7), renowned businessman and venture capitalist Vinod Khosla makes bold predictions about the future of technology and its impact on society. The tech optimist believes that innovations often come not from experts fixated on the past, but from bold entrepreneurs dreaming of the impossible. Five years ago, he predicted how AI would generate music. Predictions 🟣 Computers will be everywhere, like electricity. They will become part of everyday things - refrigerators, mirrors, bicycles. They will work automatically, adapting to us. People will no longer have to learn how to use computers. 🟣 Transport revolution. In 25 years, most cars in cities will be replaced by faster and more accessible driverless transport. Such a public transport system is already being created in San Jose. 🟣 Supersonic flights will become generally available. People will be able to fly from one continent to another in a matter of hours, making the world “closer”. 🟣 Free healthcare. Thanks to AI, every person on the planet will be able to access free medical care 24/7. 🟣 Education for all. Every child will be able to receive a free education from AI teachers. 🟣 Automation of labor. Billions of robots will be able to do more work than all of humanity today. This will free people from routine and difficult tasks. 🟣 Preventive medicine. Healthcare systems will focus not so much on treatment as on disease prevention. 🟣 New proteins and fertilizers. The development of technologies will lead to the emergence of environmentally friendly proteins and fertilizers that are more effective and safer for the environment. 🟣 Transition to nuclear fusion. Thermonuclear energy will replace coal and gas power plants. 🟣 Sustainable development. Entrepreneurs will find solutions to reduce carbon emissions. Technologies will emerge that will help combat climate change. 🟣 New technologies for mining. Resources will be searched for and extracted at a depth of kilometers under the Earth's surface. 🟣 Creativity and artificial intelligence. The level of creativity in entertainment and design will increase thanks to integration with AI. https://lnkd.in/digaGyU7

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𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 ETCIO 𝗳𝗼𝗿 𝗮𝗻 𝗮𝗺𝗮𝘇𝗶𝗻𝗴 𝘄𝗲𝗯𝗶𝗻𝗮𝗿 𝗼𝗻 "𝗙𝘂𝗲𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗛𝗼𝘄 𝗚𝗲𝗻𝗔𝗜 𝗶𝘀 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀!" I am in sync with Tara Lodh, Customer Engineer, Google Cloud when he says he is excited about the voice perspective when it comes to GenAI Voice, as per his vision, will be used in: • code generation • workflow generation • even in the way we use search • day-to-day activities His data strategies are also very well-thought-out: • 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗖𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻: Data is all around flowing all around systems, departments and processes. Therefore, high chance of duplication is there. So, number one strategy should be to break this replication as it can lead to errors and inefficiencies.   And consolidate data as it leads to unification to a centralized platform as it'll ensure that all teams can have access to consistent info. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗿𝗼𝘂𝗻𝗱 𝗗𝗮𝘁𝗮: There should be policies and standards to manage data securely and ethically. Compliance ensures protecting sensitive information and maintaining accountability for data usage. • 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Scalability depends on having solid foundation of quality, consolidation, and governance around data. Growth isn’t just about handling more, rather it’s about handling more effectively and responsibly.    • 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: It's about maintaining speed and reliability while managing increasing demands. This is directly related to clean, accurate data that is unified across systems and managed with compliance. Manish Kumar's, Customer Engineer, Google Cloud, tip for startup is worth noting, "Build app that is powered by Gen AI than building GenAI itself" Also, big thanks to Soumik Ghosh, for leading such an engaging and impactful session. I really appreciate for the insights and energy you brought to the table! Conversive #GenAI #DataStrategy #AIInnovation https://lnkd.in/gNi_dAK3

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The future of AI isn't a sudden leap, but a steady climb. INSEAD experts predict a fusion of rule-based and neural systems, promising enhanced accuracy and broader knowledge. Yet, the holy grail of human-like AI remains elusive. What's your take on AI's evolutionary path? #ArtificialIntelligence #FutureOfTech #AIEthics #InnovationTrends #TechLeadership

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Here is my recent interview/podcast with Dr. Anand Kolharkar of Opine Group... In this Part I, we spoke about my own AI journey and how to go about such mid-career transition. #artificialintelligence #ai #career #midcareer #machinelearning #datascience #gde #mvpbuzz

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Continuing the #Government of #India’s commitment to advancing the responsible #development, #deployment, and #adoption of #AI, the ‘Global IndiaAI Summit’ is being organized in #NewDelhi, India. The Summit will focus on key pillars of the AI ecosystem, including #Compute #Capacity, #Foundational #Models, #Datasets, #Application #Development, #Future #Skills, #Startup #Financing, and #Safe and #trusted AI. As the Lead Chair of the Global Partnership on Artificial Intelligence (#GPAI), India will host GPAI member countries, and experts to advance GPAI’s commitment to safe, secure, and trustworthy AI. I look forward to meeting our partners including #startup founders, my focus is: 📌 India 🇮🇳 for India 🇮🇳 : How can we build a trusted AI ecosystem on our very own #IndiaStack? 📌 India 🇮🇳 for the World 🌏 : How can we create scale impact that can be taken to the world? See you there: https://lnkd.in/gNDDp9Nh Ministry of Electronics and Information Technology Digital India Programme INDIAai #MakeInIndia #MakefortheWorld #GovTech #OpenInnovation #EmergingTechnologies

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🌍 AI & Partners - India’s Leadership in Driving Responsible AI 🤝 AI & Partners are proud to have contributed to The Developer’s Playbook for Responsible #AI in India, created in partnership with nasscom, ANAND AND ANAND, the Ministry of Electronics and Information Technology, INDIAai, and the Digital India Programme. Launched in New Delhi last week, this playbook represents a significant step towards building a unified framework for identifying and mitigating #AI-related risks in India. 🔍 The playbook has been rigorously reviewed and endorsed by a wide range of experts and stakeholders (see below & comments), including representatives from industry, government, academia, and civil society. This ensures that it reflects a well-rounded and comprehensive approach to fostering responsible #AI practices that align with India’s broader priorities and values. 📜 Connecting with Global #AI Governance Standards The playbook aligns closely with the European Commission’s EU #AI Act, emphasizing principles such as risk-based governance, transparency, and human oversight. It offers practical tools and templates to help organizations comply with stringent regulatory frameworks. 🌍 Acknowledging Our Collaborators We extend our gratitude to our esteemed co-collaborators, including Michael Charles Borrelli, Sangeeta Gupta, Ankit Bose, Pravin Anand, Ajai Garg, Raj Shekhar, Vibhav Mithal, Simrandeep Singh, Alvin Antony, Abhik Chaudhuri, Abhijnan Chakraborty, Abilash Soundararajan, Abhishek Upperwal, Ajit Ashok Shenvi, Akbar Mohammed, Amrita Sengupta (she/her), Amritendu Mukherjee, Anand Venkatanarayanan, Andeed Ma, Anwesha Sen, Arti Khanijo, Ashutosh Kumar, Atul Gandre, Avik Sarkar, Ph.D., Avinash babu Samarla, Axel Beelen, Ayushi Agarwal, Bhavana M, Bishakha Bhattacharya 🌍 Access the Playbook Explore the playbook here: https://bit.ly/3OsQG6u ------------------- ✨ 📢 For further insights, follow AI & Partners on LinkedIn or contact us at [email protected] for insights on navigating #AI regulations and supporting your #AI projects! https://lnkd.in/e4tnSJse

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MIT Technology Review - The great acceleration: CIO perspectives on generative AI Source: https://lnkd.in/gnCnUi76 #great #acceleration #cio #perspective #genai #adoption #tools #ai Highlights: Generative AI and LLMs are democratizing access to artificial intelligence, finally sparking the beginnings of truly enterprise-wide AI. Powered by the potential of newly emerging use cases, AI is finally moving from pilot projects and “islands of excellence” to a generalized capability integrated into the fabric of organizational workflows. Technology teams no longer have to “sell” AI to business units; there is now significant “demand pull” from the enterprise. A trove of unstructured and buried data is now legible, unlocking business value. Previous AI initiatives had to focus on use cases where structured data was ready and abundant; the complexity of collecting, annotating, and synthesizing heterogeneous datasets made wider AI initiatives unviable. By contrast, generative AI’s new ability to surface and utilize once-hidden data will power extraordinary new advances across the organization. The generative AI era requires a data infrastructure that is flexible, scalable, and efficient. To power these new initiatives, chief information officers and technical leads are embracing next-generation data infrastructures. More advanced approaches, such as data lakehouses, can democratize access to data and analytics, enhance security, and combine low-cost storage with high-performance querying Some organizations seek to leverage open-source technology to build their own LLMs, capitalizing on and protecting their own data and IP. CIOs are already cognizant of the limitations and risks of third-party services, including the release of sensitive intelligence and reliance on platforms they do not control or have visibility into. They also see opportunities around developing customized LLMs and realizing value from smaller models. Automation anxiety should not be ignored, but dystopian forecasts are overblown. Generative AI tools can already complete complex and varied workloads, but CIOs and academics interviewed for this report do not expect large-scale automation threats. Instead, they believe the broader workforce will be liberated from time-consuming work to focus on higher value areas of insight, strategy, and business value. Unified and consistent governance are the rails on which AI can speed forward. Generative AI brings commercial and societal risks, including protecting commercially sensitive IP, copyright infringement, unreliable or unexplainable results, and toxic content. To innovate quickly without breaking things or getting ahead of regulatory changes, diligent CIOs must address the unique governance challenges of generative AI, investing in technology, processes, and institutional structures.

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New blog post : True agents in LLM Agentic workflows I've just published a deep dive into the concept of "agents" in LLM-based systems, drawing on insights from agent-based models (ABMs). This is also me trying to wrap my head around what "agent" really means in the context of agentic workflows. Key points: 1. Formalizing agent-based models for LLM workflows. 2. Importance of autonomy and agency in AI systems. 3. A toy example of an exploratory UI navigator.

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Generative AI: The silent revolution reshaping our digital landscape. Its rapid ascent is transforming industries, sparking innovation, and raising critical questions about creativity and ethics. As tech leaders, how are we adapting to this AI-driven future? #GenerativeAI #TechInnovation #AIEthics #DigitalTransformation #FutureOfWork What's your take on generative AI's impact in your field? Share your thoughts below.

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Just finished the course “Ethics in the Age of Generative AI” by Vilas Dhar! Check it out: https://lnkd.in/gYuPASBp #responsibleai #generativeai #computerethics.

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Gen AI is no longer just a buzzword - it's a reality for 65% of global organizations. But the real excitement lies ahead. The next frontier? Domain-specific AI that could revolutionize industries like finance, powering everything from fraud detection to operational forecasting. The challenge now is not adoption, but responsible innovation. Are we ready to unlock AI's true potential while managing the risks? #ArtificialIntelligence #FinTech #ResponsibleAI #InnovationManagement #FutureOfWork What steps is your organization taking to harness AI's next wave responsibly?

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Why 2025 will redefine data #infrastructure: 11 expert insights on #sovereignclouds, exploding #data, #PaaS and more ~Shabham Sharma VentureBeat "If 2023 was all about generative AI-powered chatbots and search, 2024 introduced agentic #AI — tools capable of planning and executing multi-step actions across digital environments. From Devin’s engineering breakthroughs to Microsoft’s early trials with Copilot Vision, the innovations were diverse, but one constant remained: the need to keep data infrastructure organized and reliable. As enterprises leaned into advanced AI initiatives, several trends reshaped how data is managed, secured and used. Businesses increasingly adopted #multicloud, open data, and open governance strategies to avoid vendor lock-in and gain more flexibility. They also focused on unstructured data, transforming data marketplaces into hubs providing pre-trained AI models with proprietary datasets and apps. Simultaneously, progress in vector and graph databases added new possibilities, setting the foundation for what’s next. 1. Real-time multimodal data will fuel intelligent data flywheel 2. Chill factor: Liquid-cooled #datacenter 3. Global data explosion to create storage shortage  4. AI factories will evolve to PaaS 5. Companies will use their massive datasets but demand reliability 6. #Enterprise agents will devour communications data 7. Data #governance and quality will be biggest barriers to successful and ethical AI adoption 8. Unified data #observability platforms will emerge as essential tools 9. All hail the sovereign cloud 10. Rise of data processing at the #edge 11. Protection of unstructured data will become more urgent To sum up, 2025 promises significant advancements in enterprise data infrastructure, ranging from multimodal data flywheels to sovereign clouds. However, challenges such as data governance and storage shortages will persist. Success in this dynamic space will depend on balancing innovation with trust and sustainability, turning data into a lasting competitive advantage."

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🎉 Announcing the Winner of The AI 2030 Awards of the Year 2024: AI 2030 Global Fellow of the Year - Arjun Ravi Kannan (Discover Financial Services) 🎉 As we close an extraordinary year for AI 2030, we are thrilled to announce the recipient of The AI 2030 Awards of the Year 2024, an accolade celebrating exceptional contributions to the responsible development and deployment of artificial intelligence. The awards celebrate AI professionals whose contributions align with the AI 2030 mission: to mainstream Responsible AI, ensuring that AI technologies maximize benefits for humanity while minimizing potential risks and challenges.🌍✨ The AI 2030 Awards reflect our global commitment to fostering excellence, inclusivity, and sustainability in AI innovation. This year, we recognized remarkable contributions from our community and partners—those driving the Responsible AI movement forward across industries and geographies. 💡🌐 Arjun Ravi Kannan leads the data science and machine learning research function at Discover Financial Services. His team’s work, featured in top journals and patents, underpins Discover's consumer lending products, ensuring transparency in credit decisions and reducing bias. With AI 2030, he has been a Chicago AI Week speaker, appeared on the AI 2030 Daily Show, and delivered a guest lecture on operationalizing Responsible AI. He is also part of the Chicago AI Week 2025 organizing committee.💡🤖 AI 2030 2024: A Year of Global Impact for AI 2030 🚀 Key Highlights of 2024: 🌍 Global Reach: Featured 500+ AI experts, generating millions of impressions online. 🎉 Flagship Events: Organized Chicago AI Week, AI Governance Forum, and Tech Pulse 2030, attracting over 1,000 participants. 🤝 Collaborative Summits: Co-hosted the Palo Alto AI x Web3 Summit and Chicago Web3Con. 🎙️ AI 2030 Show: Launched a podcast series with 50+ episodes featuring thought leaders. 💡 Recognizing Excellence: Launched the Women in AI Leadership Award, celebrating 250+ inspiring women leaders. 🌐 Global Advocacy: Influenced the development of global AI governance frameworks at UN, IMF, and G20 forums. 📜 Responsible AI Pledge Initiative: Guided corporations in leading Responsible AI practices. 🎓 Education Milestones: Initiated the Certified Responsible AI Leaders Program. 🚀 Startup Support: Partnered with 1871 to mentor 100+ startups in AI, Web3, and FinTech. 🌍 Ready to nominate a changemaker for 2025 AI 2030 Awards? Submit your nominations here: https://lnkd.in/ghN868rZ 🔗 Stay Connected & Engaged: • LinkedIn Group: https://lnkd.in/e_CrPkc • AI 2030 Summit Series: https://www.ai2030.org/ • Join the Movement: https://lnkd.in/gN5PcC • Join our Circle.so Portal: https://ai2030.circle.so/ #AI2030Awards #ResponsibleAI #AIInnovation #TechForGood #FutureOfAI FinTech4Good Xiaochen Z. #ai2030 #fintech4good #xiaochenzhang #ai2030member #chicagoaiweek #ai2030summit

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AI's next frontier: Seamless integration into business workflows. Eric Sydell predicts a shift towards context-aware, customized AI models transforming industries by 2025. The key? AI literacy. Companies mastering these tools will gain a significant edge, reshaping workforce skills and demanding new oversight strategies. #ArtificialIntelligence #BusinessInnovation #FutureOfWork #AIIntegration #TechTrends What's your take on AI's role in your industry? Share your thoughts below.

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Value capture has always fluctuated between applications and infrastructure. What will we see getting commiditized first in the ML world - compute infra or applications? Read my thoughts on this here : https://lnkd.in/gD3N7dHX #strategy #hyperscale #scaleups #bizgrowth #foundersadvice #bizmodel #innovation #fintech #insurtech #tokenization #productmanagement #web3  #TMinsights

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