Sub Capitals’ Post

We've finally come out of stealth mode 🕵♂️ and are excited to talk about what we've been working on. 😁 After nearly 100 asset managers have contacted us asking for custom AI solutions for their funds, portfolios, overlays and so on. 🗣 We are now ready and live, with the most important being AI signals for risk management of existing portfolios. ✳ With our first client up and running and their portfolio managers equipped with AI, we look forward to providing more and more asset managers with their own AI systems. 🔜 Text me to find out more... ✉ #portfolio #manager #assetmanagement #banking #funds

𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 𝗧𝗛𝗘 𝗙𝗨𝗧𝗨𝗥𝗘 𝗢𝗙 𝗪𝗘𝗔𝗟𝗧𝗛 & 𝗔𝗦𝗦𝗘𝗧 𝗠𝗔𝗡𝗔𝗚𝗘𝗠𝗘𝗡𝗧, 𝗧𝗢𝗗𝗔𝗬 👉 https://bit.ly/3PRTqMe Our AI platform #Sphere enables investment professionals to: - Set custom portfolio constraints - Enhance risk management with risk constraints - Define precise portfolio strategies with portfolio targets - Seamlessly integrate their market views with Sphere's AI - Leverage generative AI for enhanced explainability. #Sphere is being leveraged by 30+ financial institutions all around the world and they all agree on this: its #AI serves as a game-changing tool for investment managers, simplifying complex processes, advancing risk management, and providing invaluable insights, essential for success in today's dynamic financial markets. Experience the future of Asset & Wealth Management, book a custom demo of Sphere here 👉 https://bit.ly/3PRTqMe

Combining #FinOps with #generativeAI could unlock significant cost savings for your organisation! Our latest research reveals that #genAI can dramatically enhance the value of FinOps by rapidly analysing and summarising financial data from various sources, pinpointing areas for improvement. This advanced technology enables quicker, more precise forecasts and can detect anomalies that may signal fraud in real time. Such capabilities allow teams to respond more swiftly to risks and seize opportunities as they arise. Download our latest report to discover how generative AI can empower your finance team to operate at their full potential #AIInFinance #CostSavings #FinancialForecasting #FraudDetection #RiskManagement #DataAnalytics #TechInnovation #FinancialManagement #DigitalTransformation Craig Jackson Jake Chinery Daniel Crow Ben Arnold Garry Biddle Gordon Summers

Leveraging Artificial Intelligence for Enhanced Financial Decision-Making In today's rapidly evolving financial landscape, the integration of Artificial Intelligence (AI) has become paramount for institutions striving to stay ahead of the curve. Data Analysis and Insights: AI algorithms have the capability to process vast amounts of data at an unprecedented speed. This enables financial institutions to derive valuable insights from complex datasets, facilitating informed decision-making. Whether it's analyzing market trends, assessing credit risks, or detecting fraudulent activities, AI-powered analytics can provide real-time, actionable insights that drive profitability and mitigate risks. Predictive Modeling: By leveraging machine learning algorithms, financial analysts can build sophisticated predictive models that forecast market trends, asset prices, and customer behavior with remarkable accuracy. These models enable proactive decision-making, allowing institutions to anticipate market movements and adjust their strategies accordingly. Algorithmic Trading: AI-driven algorithmic trading systems have transformed the way financial assets are traded. These systems can analyze market conditions, execute trades, and manage risk in real-time, without human intervention. By leveraging advanced algorithms and high-frequency trading strategies, institutions can capitalize on fleeting market opportunities and generate alpha more consistently. Risk Management: AI plays a crucial role in enhancing risk management practices within financial institutions. Machine learning algorithms can analyze historical data, identify patterns, and assess the probability of adverse events such as credit defaults or market crashes. By proactively identifying and mitigating risks, AI-powered risk management systems help institutions safeguard their assets and maintain financial stability. Personalized Financial Services: AI enables financial institutions to offer personalized services tailored to the unique needs and preferences of individual customers. By analyzing customer data and behavior patterns, AI algorithms can recommend suitable financial products, optimize investment portfolios, and provide personalized financial advice. In conclusion, the integration of AI in finance offers a myriad of benefits ranging from enhanced data analysis to personalized financial services. By harnessing the power of AI-driven technologies, financial institutions can gain a competitive edge, drive operational efficiency, and deliver superior value to customers. As we navigate the digital era, embracing AI is not just an option but a necessity for staying relevant and thriving in the ever-evolving landscape of finance. #ArtificialIntelligence #Finance #DataAnalytics #MachineLearning #AlgorithmicTrading #RiskManagement #FinancialServices #PredictiveModeling #AIinFinance

As TeamSec, we are strengthening the innovation-based services we provide to our customers through the use of artificial intelligence. We also perfect our comprehensive securitization service, which we provide to financial institutions, banks and intermediary institutions, by making use of artificial intelligence. How does? In this article, we have compiled the benefits of artificial intelligence in securitization processes such as unleashing intelligent risk assessment, optimizing portfolios with AI wizardry, and predictive analytics for market intelligence. With TeamSec, enter the realm where Artificial Intelligence (AI) meets securitization, where the fusion of cutting-edge technology and finance unveils a world of possibilities and explore how AI can empower securitization professionals to make smarter decisions, streamline operations, and gain valuable insights. Click to read the blog! https://lnkd.in/dfNuDU2T Author Can DEMİR - Data Science & Financial Engineering Manager #teamsec #securitization #blog #financialsoftware #ai #artificialintelligence

In case you missed it, EY’s latest survey “Five priorities for winning with GenAI in wealth and asset management” [1] has a look at how wealth and asset managers are utilizing #GenAI to reimagine their business. I caught up with Baldwin Emmanuel Choy, Head of Enterprise Data Sales, North Asia for Bloomberg on this survey and the parallels given the transformation of the data industry, stirred on by the GenAI revolution. Here are the key takeaways of our discussion; 🎯 Data is the new oil, everyone is looking for more data, faster. Survey concerns around accuracy, reliability, privacy, and security are well-founded, what is less documented is how to utilize data effectively and efficiently, once these concerns have been addressed. ➕ Co-pilot tools currently allow managers quick and easier access to the benefits of AI with many using tools as a wrapper for their own content overlay. Instead of focusing on a ‘nuclear’ moment of efficiency gains, managers should break down tasks into subtasks and see where co-pilots can help. Multiple occurrences of double-digit efficiency gains from #AI co-pilots do add up, and firms can see tangible benefits sooner. 🏗 A strong partnership between AI specialists, data scientists and domain experts help for effective leverage and industrialization of AI technology for long term transformation. #ActionableAI

🚀 AI in Finance: The Future is Now! 🔍 83% of those surveyed said they were using AI in at least some way in their financial planning and analysis, and 8 in 10 also reported prioritizing investment for AI and #GenerativeAI, according to KPMG US. This matches what we are seeing every day. Finance teams are not just preparing for the future; they're actively leveraging #AI today to transform financial operations. The combined power of finance teams and AI can truly make game changing impacts on finance functions including predictive analytics, data mining, scenario modeling, and process automation. Some key impacts: 📊 Enhancing Forecast Accuracy: AI's predictive capabilities are transforming finance. With intelligent forecasting powered by extensive data and complex scenario modeling, organizations are achieving over 60% improvements in forecast accuracy. The more data these tools process, the smarter they become! 🚀 Elevating the Finance Teams: AI is freeing up the finance functuon to focus more on strategic analysis and less on routine tasks. Leading-edge teams are tripling their time spent on analytics and decision support, evolving from traditional finance roles to strategic business partners. This powerful synergy between AI and finance not only boosts efficiency and accuracy but also sets the stage for pioneering advancements in the sector. Explore the extraordinary capabilities of AI-enabled finance teams and learn how they are redefining the future of business. https://lnkd.in/e3gBtamx #KPMGFinanceTransformation #FinanceTrends #DigitalTransformation

Unlock the secrets of strategic portfolio management with Ryan Crowther and Les Stelmach from Franklin Templeton. In a market buzzing with AI and evolving investor behavior, discover the steady approach of dividend portfolios. https://hubs.la/Q027j4Fd0 #PortfolioStrategies #DividendPortfolios #AIInvestments #DividendStrategies

What does the development of artificial intelligence mean for investors?

Here's our rundown of Boston Consulting Group (BCG)'s #generativeAI roadmap whitepaper: