Commodities People的动态

?? The Future of Finance: AI and Automation are Transforming Investment Strategies! As we head into 2024, one thing is clear: artificial intelligence and automation are no longer just buzzwords in finance. They’re shaping the future of investment management, offering new ways to optimize portfolios, enhance risk assessments, and uncover market trends. ?? Robo-advisors are gaining ground, providing personalized, data-driven investment strategies at scale, while machine learning is enabling more accurate predictive models for market behavior. This transformation isn’t just limited to institutional players — retail investors are also benefitting from more accessible and sophisticated tools. ?? The rise of automated trading and AI-driven decision-making is pushing the envelope, and it's not about replacing human expertise, but enhancing it. Financial analysts, portfolio managers, and wealth advisors are partnering with technology to sharpen their insights and focus on long-term value creation. ?? For professionals, the key is staying adaptable and continuously learning. Those who can integrate AI capabilities with strong financial acumen will be well-positioned for the future of this dynamic industry. Are you ready to embrace these changes? What tools and strategies are you adopting to stay ahead? What are your thoughts Cindy Smith , Marcella Kirschbaum ,Emmanuel Uzoh? #FinanceTrends #InvestmentStrategies #Fintech #Automation

Rewired to Outcompete : #AI & #DigitalTransformation in production industries The hype around #ArtificialIntelligence may often only be observed with interest by many low to medium technology manufacturers. There is a sense for its potential but is not clear how it can be lifted. Taking the #battery & #energy #storage industry as an example. Companies are busy with their own digital transformation projects for better efficiency and competing in a changing market environment with more competition flooding the markets. AI may not be the immediate solution. But by ignoring it, there may be the risk of overlooking a huge opportunity for establishing the foundation for outcompeting in the near future market environment. #Digitalization and the demand for more #data on products and operations of batteries - effectively, now required by law in the EU with the new EU Battery Regulation (#BatteryPassport) - provides the ground for AI supported opportunities for better/more products & services as well as, potentially, a new approach to the market and decision-makers. The manufacturer needs to implant the idea of how AI & digital transformation can create new values for the next gen battery / energy storage markets - on every level of the organization, not just for IT or CTO. The article by McKinsey aims to be food for thought, esp. to those industries / companies that are less high-tech but envision the potential of AI for their business. #CompetitiveAdvantage #BusinessModels #Transparency #Manufacturing #NextGenMarkets

?? What if your alternate investment firm could predict market movements, optimize portfolios in real-time, and save millions on operational costs—all with the power of AI? ??In today’s data-driven and competitive financial markets, leveraging AI and automation is no longer optional—it’s a necessity. Here’s how these technologies are driving efficiency, productivity, and profitability for hedge funds and alternative investment firms: ?? 1. Smarter Decision-Making AI processes massive data sets to uncover trends, forecast market movements, and assess risks. Tools like sentiment analysis give firms an edge by analyzing news, social media, and financial reports. ?? 2. Optimized Portfolio Management Algorithmic trading executes orders faster and more accurately than humans. Real-time risk monitoring and dynamic portfolio rebalancing ensure alignment with goals. ?? 3. Streamlined Operations Robotic Process Automation (RPA) reduces manual errors and streamlines compliance, reporting, and account reconciliation. ?? 4. Enhanced Client Experiences AI-driven tools provide personalized communication and generate custom performance reports, improving investor satisfaction. ?? 5. Better Security AI detects anomalies to prevent fraud and safeguard sensitive information. ?? 6. Market Expansion Simulate market conditions and manage investments globally with real-time insights. ?? 7. Cost Savings Reduce labor-intensive tasks, minimize downtime, and optimize infrastructure. By embracing AI and automation, firms can make faster, smarter decisions, cut costs, and maintain their competitive edge. ?? How is your organization integrating AI into its processes? Let’s discuss! #HedgeFunds #AlternativeInvestments #AIinFinance #Fintech #Automation #DigitalTransformation

#Singapore could position itself as a hub for #AI-driven wealth management. With 79% of wealth managers viewing AI as essential for the industry’s future, Singapore is poised to lead in digital #finance #innovation.

Enterprise tech spend loops “The only thing I get from paying by ‘time and materials’ is invoices for more time and more materials.” - Executive at a bank This report from McKinsey outlines the challenges of technology investment approach of banks - which has led to technology spend growing twice at rate of revenue; and still banks struggle to articulate value and differentiation they are getting from those investments to their investors. This issue is more severe in banking but to some extent is a cross-industry problem. Too much tech. spend happens for small productivity improvements in a large amount of functional areas. So it becomes very hard to see value and more importantly differentiation. There is a good chance that AI technology may fall into a similar trap as there are use cases everywhere. The discipline to think top down and then putting investments in AI efforts with a very outcome based approach is going to be a new skill for most enterprises. #EnterpriseAI #AIMadeReal #BusinessStrategy

AI, Productivity, and Efficiency. The first time my name appeared in the media was on August 14th, 2008, a few months after I finished my undergraduate studies. It was in the Financial Standard, a foremost business paper in Lagos. I had written a piece on Organizational Efficiency Management—a topic I have always been passionate about. Efficiency remains my core approach to business and financial management. The goal of efficiency is simple: higher productivity with lower input cost. This is why AI’s promise of improved productivity is such a compelling value proposition for investors. Nvidia has been at the center of this revolution, selling the tools that power AI’s growth. Investors have backed it heavily, expecting continued dominance. But then, competition struck unexpectedly and shocking too. DeepSeek’s AI product, developed at a fraction of ChatGPT’s costs, sent shockwaves through the market. Nvidia’s stock dropped nearly $600 billion in a single day, an important reminder that investors are good at changing their minds and recalibrating expectations. This event highlights two critical lessons for businesses everywhere. First, the global demand for productivity and economic growth has never been more urgent, particularly in Europe and Africa. Second, efficiency in resource management is key to staying competitive and winning in any market. A prime example is the energy sector. The industry’s fundamental value proposition is "enabling productivity", whether powering factories or in the transportation of goods and services. Saudi Aramco’s $1.8 trillion market cap reflects its ability to supply energy for productivity at scale. Similarly, Nvidia’s AI-driven "productivity narrative" pushed its market capitalization to over a $3 trillion valuation. Yet, disruption comes when a more efficient alternative emerges. Just as green energy challenges fossil fuels, AI's new wave is being redefined by a cost-efficient approach. Tesla?EV powered by Green energy is the most valuable car company in the world with a market capitalization of $565.95 billion.?What is the common denominator? Productivity at a lower cost. In summary, if your company or product promises efficiency or productivity beyond existing solutions, you’re likely to attract investor’s capital. As a finance professional, I’ll always advocate for maximizing results with minimal cost and at a shorter time. DeepSeek may not be the biggest AI player, but its efficiency approach is loud and clear. And in business, that’s a message investors never ignore. I wish you a restful weekend. Enjoy it with your loved ones. #management #efficiency

Automation in Financial Sector: Minimizing Risks and Boosting Efficiency Human error is a major issue in fintech. Manual data processing and repetitive tasks slow down operations and increase the risk of mistakes. 01/ Automation solves this: ?? Transaction processing — faster, error-free calculations. ??AI — data analysis and forecasting to improve strategy by spotting trends. ??RPA (Robotic Process Automation) — streamlining routine tasks, freeing up valuable resources. 02/ Proven results: ??70-90% reduction in errors due to automation. ??Operations time cut from hours to minutes. ??Up to 30% savings in operational costs. 03/ Why it matters: Automation isn’t just a trend, it’s a must for industry leaders. The time and resources saved can be reallocated to strategic initiatives. What do you think are the most critical financial processes that need automation?

?? **AI Revolution in Battery Cell Design: Lessons for the Finance Industry** ?? LG Energy Solution's breakthrough in AI-driven battery cell design—reducing the process from 2 weeks to under a day—has profound implications beyond just energy storage. As an industry expert, I see tremendous opportunities for finance institutions to derive value from this innovation. Let’s delve into the key points and their potential impact on financial services: ?? **Streamlined Operations**: LG’s AI model exemplifies how complex design processes can be expedited, reducing iteration times by 99%. Financial institutions can harness similar AI efficiencies to streamline operations, resulting in significant cost savings and improved productivity. ?? **Enhanced Competitive Edge**: By achieving optimal designs promptly, LG Energy Solution gains a competitive advantage, providing differentiated customer value. Financial institutions can similarly leverage AI to enhance service delivery and outperform competitors, ultimately boosting the bottom line. ?? **Predictive Analytics**: The AI model's extensive data analysis capabilities can be adapted for predictive analytics in finance—be it credit scoring, fraud detection, or risk management. Advanced analytics enhance predictive intelligence, crucial for informed decision-making. ?? **Data-Driven Decisions**: Leveraging data from approximately 100,000 design cases, LG’s AI model demonstrates robustness in large dataset processing. Financial institutions can apply this data-intensive approach to improve accuracy and reliability in their decision-making processes. This advancement by LG Energy Solution is a testament to AI's transformative potential. Finance institutions must take note, exploring similar AI applications to revolutionize their services and operations. ?? **Call to Action**: How is your organization planning to integrate AI to drive innovation and efficiency? Share your thoughts and strategies in the comments. Let’s foster a discussion on leveraging AI for future-ready financial services! #AI #Finance #Innovation #DataScience #OperationalEfficiency #PredictiveAnalytics #FutureOfFinance ?? [Connect and Discuss]

How AI is enhancing real-time data for investors - FinTech Global: Data management is a vital part of the investment management world and new advancements in technology, particularly AI, is helping to transform?...