Nafis Alam's Linkedin Analytics

How #banks are deploying #AI today & tomorrow- Key insights from Euromoney playbook The nine step journey to Implement #AI in Banks 01 | Adopt a decisive but flexible approach to AI development 02 | Strengthen a central AI function plugged into businesses 03 | #Upskill across the organization , not just in #AIresearch 04 | Develop processes for selecting third-party #AImodels 05 | Build platforms to boost model #flexibility and #security 06 | Consider smaller models which meet your needs 07 | Start with low #risk but impactful use cases 08 | Ease into customer-facing opportunities 09 | Build #trust to succeed in #Agentic banking #Bigdata #artificalintelligence #Banking #FinTech #Finserv #Automation #decisionmaking #AIEthics #AIbias #AIrisk #Regulation #Regtech #AIagent Mike Flache Tony Moroney Francesco Burelli Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Efi Pylarinou Martin Moeller Helen Yu Digital Growth Collective Dr. Debashis Dutta https://lnkd.in/ggSe4SwV

Customizing #generativeAI for unique #value Companies are moving ahead ambitiously with customization. They are cognizant of its #risks, particularly those revolving around #datasecurity, but are employing advanced methods and tools, such as retrieval-augmented generation (#RAG), to realize their desired customization gains. Key insights from MIT Technology Review ✅ Boosting #efficiency is a key motivation for customizing generative AI models, according to 50% of surveyed executives, but it’s not the only one. As important, say 49%, is gaining the ability to create unique solutions, 47% cite better #usersatisfaction, and 42% seek greater #innovation and #creativity. ✅ Two-thirds of companies are using or exploring RAG as a method of customization. Over half (54%) are also employing fine-tuning techniques, indicating that these two methods, along with prompt engineering, are used most effectively in combination. ✅ Over half (54%) of surveyed businesses employ manual methods to evaluate generative AI models. But 26% are either beginning to apply automated methods or are doing so now consistently. ✅ Data integrity is the biggest barrier to customization. Around half the respondents (52%) cite the need to ensure #dataprivacy and #security as the primary difficulty they face with customization ✅ Advanced tools are empowering developers and facilitating lifecycle management. Over half (53%) of organizations have adopted telemetry tools for tracing and debugging for their developers. #Bigdata #Artificialintelligence #GenAI #AI #automation #customization #dataintegrity #Fintech #Finserv #Regulation #Regtech Mike Flache Francesco Burelli Tony Moroney Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Efi Pylarinou Eveline Ruehlin Digital Growth Collective Helen Yu Dr. Debashis Dutta https://lnkd.in/gfsJuFKi

#Humans, #AI & #Robots- #economics of reinventing #work & e #workplace- Key insights from Accenture and The Wharton School report ✅ Combine human creativity, intuition, and adaptability with AI’s precision and efficiency—but only where augmentation enhances outcomes. ✅ In tasks where AI outperforms humans, autonomous agents may be more effective. ✅ Organizations must align task assignments with human vs. machine strengths to maximize performance ✅ Reinvention must become an ongoing capability—reshaping roles, workflows, and decision-making as AI evolves ✅ Companies need adaptive, real-time learning infrastructures powered by GenAI—to reskill at scale and continuously rebalance human-agent collaboration. #Bigdata #artificalintelligence #GenAI #Automation #Robotics #FinTech #Finserv #Regulation #Regtech #Futureofwork Mike Flache Dr. Martha Boeckenfeld Tony Moroney Francesco Burelli Panagiotis Kriaris Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Eveline Ruehlin Imtiaz Adam Efi Pylarinou Digital Growth Collective Martin Moeller Helen Yu Dr. Debashis Dutta https://lnkd.in/gv2edBD5

The Promise and Perils of #AI-The call for #ArtificialIntelligence #Governance- key insights from Deloitte report ✅ AI governance is the structured approach to managing #AIsystems throughout their lifecycle, ensuring they operate reliably, ethically, and in alignment with organizational goals ✅ While #compliance with #regulations like the AI Act is crucial, the benefits of AI governance extend far beyond avoiding penalties. ✅ Effective AI governance ensures operational #efficiency, minimizes costly rework, and safeguards against business continuity #risks. ✅AI Governance helps prevent the leakage of confidential information, protects organizational #reputation, and maintains customer #trust. #Bigdata #AIBias #AIEthics #AIrisk #FinTech #Finserv #Regulation #RegTech #AIRegulation #compliance #AIgovernance Mike Flache Francesco Burelli Tony Moroney Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Eveline Ruehlin Imtiaz Adam Efi Pylarinou Digital Growth Collective Helen Yu Martin Moeller Dr. Debashis Dutta https://lnkd.in/g43YCdRh

How #FinancialServices Firms are #Embracing & #Governing #GenerativeAI- Key insights from Smarsh ✅ Making Strategic #Decisions About Generative AI and Balancing #Regulatory #Risks ✅ Firms are emphasizing comprehensive #data lifecycle management within #GenAI systems. This includes rigorous examination of #dataprivacy and #security protocols, scrutiny of #AImodel training processes and data sources, and careful consideration of how proprietary data is used and stored ✅ Financial services firms are adopting comprehensive approaches to translate #legal, #regulatory, and #IPrisks into actionable policies and processes for managing generative AI risks. ✅ organizations are looking to address the unique risks associated with generative AI by implementing specialized #governance processes #Bigdata #artificalintelligence #GenAI #Automation #GenAIrisk #Governance #Accountability #Compliance #FinTech #Finserv #Regulation #RegTech Mike Flache Francesco Burelli Tony Moroney Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Efi Pylarinou Digital Growth Collective Martin Moeller Helen Yu Dr. Debashis Dutta https://lnkd.in/ga7ARpCB

Best Practices for preventing #AI-enabled #crime in e #cryptoasset ecosystem- AI-enabled crime trends, including #deepfake #scams and AI-enabled illicit goods and services, are projected to become more mainstream in the next three years, Key insights from Elliptic report ✅ Various stakeholders will need to play to their strengths and adopt a series of complementary prevention measures to ensure that the risk does not overwhelm resources, hinder legitimate #consumers or slow down the beneficial innovation of AI/crypto technologies ✅ This will involve upscaling capacity to detect and mitigate AI-enabled crime risks by employing defensive AI capabilities and enforcing clearer expectations on enablers such as #socialmedia ✅ Better #authentication systems to safeguard against malicious uses of AI #chatbots, social media accounts and #crypto services will also be necessary to circumvent #deepfakes, illicit prompts and other #criminal innovations ✅ Enhanced cooperation between and across stakeholders, including cross-border #data and knowledge sharing, will be crucial to tackle the industrialized transnational nature of some AI- enabled risks, in particular #cryptoinvestment ✅ #Regulators will be at the forefront of working with, not against, industry and ensuring the implementation of best practices in a balanced and feasible manner #Cryptocurrency #Bitcoin #Financialcrime #Moneylaundering #AML #BTC #ETH #Fintech #Finserv #Regulation #Regtech Mike Flache Francesco Burelli Tony Moroney Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Enrico Molinari Dr. Khulood Almani🇸🇦 د.خلود المانع Efi Pylarinou Digital Growth Collective Sharad Agarwal Helen Yu Dr. Debashis Dutta https://lnkd.in/gffiqGN4

Perspectives on Issues in #AIGovernance- Key insights from Google ✅ optimal governance regime is one that is flexible and able to keep pace with developments, while respecting cultural differences ✅ Some contentious uses of AI could have such a #transformational effect on society that relying on companies alone to set standards is inappropriate — not because companies can’t be trusted to be impartial and responsible, but because to delegate such decisions to companies would be undemocratic ✅ Delegating tasks and #decisions to a #machine is not bad, even in high stakes settings, so long as people have meaningful choice about doing so, and can revise their decision. ✅ well-designed, thoroughly vetted #AIsystems may reduce #bias compared with traditional human decision-makers. #Bigdata #Artificialintelligence #AIEthics #AIBias #AIRisk #Fintech #Finserv #Regulation #Governance #Regtech #Transparency #Explainability #AIRegulation Mike Flache Francesco Burelli Tony Moroney Panagiotis Kriaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Spiros Margaris Alex Jimenez Nicolas Babin Nicolas Pinto Amitav Bhattacharjee Sam Boboev Eveline Ruehlin Imtiaz Adam Efi Pylarinou Digital Growth Collective Martin Moeller Victor Yaromin Helen Yu Dr. Debashis Dutta https://lnkd.in/gew_M68C