Imran Qureshi’s Post

Making good use of AI and machine-learning tools often entails having the right data strategy to support them. #ai #algorithms #claude #data #digital #digitaltransformation #generativeai #gpt #hbr #llm #privatemarketinvestors #technology

Looking for Top-Notch Quality LLM Without Breaking the Bank? Here’s the Ideal LLM Cluster for High-Volume Use Cases! These models include GPT-3.5 Turbo, Claude 3 Haiku, DBRX, Gemini 1.5 Flash, and Mixtal 8x22B. These models strike an impressive balance between cost-effectiveness and quality, making them ideal for high-volume use cases that require frequent LLM calls. Why This Cluster is Perfect for Agentic Workflows Agentic workflows, which demand multiple calls to reason and refine answers (automatically leading to desied outcome without high quality LLM), benefit immensely from these models.Here’s why: 1.Cost Efficiency: ↳Competitive price point, significantly lowering the cost per million tokens. ↳Crucial for workflows involving extensive data processing and multiple iterations. 2. Quality Assurance: ↳Despite their lower cost, these models maintain a quality ↳Output remains reliable and coherent. ↳If not, agents know to realign towards desired goal until they find solution 3. Scalability: ↳The affordability of these models allows enterprises to scale their operations without a proportional increase in costs. ↳This scalability is vital for businesses looking to expand their AI capabilities without exorbitant expenses. For enterprises seeking to maximize their investment in LLMs, focusing on the cluster around a general ability index of 75+ is a strategic move. These models provide the perfect blend of quality and cost-efficiency, ensuring robust performance for agentic workflows. Which models have worked for you? #AI #LLM #EnterpriseAI #CostEfficiency #Quality #ArtificialIntelligence #AgenticWorkflows #Innovation

🌟Harnessing the Power of External Data and AI🌟 In today's data-driven world, the synergy between external data and AI is revolutionizing industries and driving unparalleled value. The recent Harvard Business Review article highlights key insights into this powerful relationship: 🔍 External Data as a Catalyst: Companies leveraging external data can enhance AI models, providing richer context and improving decision-making accuracy. This data includes social media trends, economic indicators, and weather patterns, offering a broader perspective than internal data alone. 💼 Business Applications: Industries such as finance, retail, and healthcare are already reaping the benefits. From predicting market trends to optimizing supply chains and personalizing customer experiences, the integration of AI and external data is proving to be a game-changer. 🚀 Strategic Advantage: By embracing this synergy, organizations can stay ahead of the competition, anticipate changes, and innovate more effectively. The future belongs to those who can harness the combined power of AI and external data. Let's embrace the potential of external data and AI to drive innovation and achieve greater business success! 🌐💡 #AI #DataScience #BusinessInnovation #HarvardBusinessReview #ExternalData #MachineLearning #TechTrends https://lnkd.in/eu_NKCSi

McKinsey's analysis reveals how Generative AI is poised to disrupt various segments of the software industry. Content creation is expected to experience the highest level of disruption, while system infrastructure will be the least affected. Its also interesting to see that application development is in the medium category and not high/very high. I expected this one to rank higher too. #GenerativeAI #TechDisruption #SoftwareIndustry Source : https://lnkd.in/gHWYBJMM

External Data and AI Are Making Each Other More Valuable

Like many of you, I followed a lot of sessions from last week's World Economic Forum. AI was rightfully front and center throughout the event. The Wall Street Journal-sponsored session, Navigating the Future: Responsible Stewardship of AI in Financial Services, with William Borden, Corporate VP, Financial Services, Microsoft, Ron Lefferts, Group Head of Sales and Account Management, LSEG (London Stock Exchange Group) and Ian Shipley, Partner, Oliver Wyman moderated by Traci Mabrey, General Manager, Dow Jones Factiva was particularly insightful. A few highlights: •Firms need to focus AI/tech tools on specific use cases; you can't just purchase capabilities and expect them to work •Risky to use GenAI out of the box to solve Regulatory Compliance without thorough testing. Teams need to be more sophisticated in how they are analyzing data • For FSIs using a variety of technology solutions – how to unify the various AI capabilities of each is critical • For Microsoft, the "AI Era" is reinforcing commitment to empowering customers to deliver first class customer experiences, transform operations and open new opportunities • AI also ushers in opportunities for firms to think new product development, reimagine client relationships, reimagine partnerships across the financial services industry • Financial Services companies, technology firms, governments and regulators need to be playing a deeper role on shaping regulations. Strong partnerships are needed • Trust in data integrity increases with AI; governance principles and the right architecture are so important • AI is not a "moment in time" innovation; should be used consistently to create change and inform go to market strategy Thanks to those of you in my network who are sharing AI content and perspectives – we are learning a lot together. #ai #digitaltransformation

🌐 Ready to Revolutionize Due Diligence? 🚀 Introducing FUTURE Engine - The #1 AI Tool for Unmasking Dishonest Founders! 🤖💡 🔍 Ever wondered if the information you have on company founders is as reliable as it seems? Companies don't lie, but founders might. That's where FUTURE Engine steps in! 🌱 **What is FUTURE Engine?** It's not just an AI tool; it's your shield against disinformation in the business world. Providing real-time deep intelligence on sustainability innovation companies and their founders. 🤔 **Is this Disinformation Tech?** Far from it! FUTURE Engine is your ally in the fight against misinformation, especially when it comes to early detection of fraudulent founders. Transparency is the key! 🌍 **Who Should Dive In?** Investors, business corporations, market analysts, and researchers—FUTURE Engine is designed to empower you with the critical intelligence you need. 💡 **Unique Features:**  1. Designed by Investors - We understand the nuances of due diligence. 2. Covers China & Asia Pacific - Breaking barriers for comprehensive visibility. 3. Specifics on Founder(s) - Unmasking the human factor in business. 4. Real-Time AI - Stay ahead with fresh, up-to-the-minute data. 🚨 Don't let dishonest founders cloud your business decisions. Level up your due diligence game with FUTURE Engine! 🔗💼 #FUTUREEngine #DueDiligence #AIDisruption #BusinessIntelligence https://lnkd.in/d85W9ZSK

Financial services are on the brink of a revolution with generative AI! 🌐 While the journey to harness its full potential presents hurdles, the promise is huge. McKinsey forecasts a staggering $2.6-$4.4 trillion annual economic boost, with banking poised for major gains. This tech is not just about cutting costs; it's redefining efficiency and opening doors to innovative solutions in areas like asset selection and risk assessment. However, the road ahead includes navigating legacy tech, talent acquisition, and regulatory landscapes. Let's discuss how we can unlock this value together. #GenerativeAI #FinancialInnovation #GenAIPartners 🔗 Read more: https://lnkd.in/gGbn3m3e

Financial orgs are learning how to harness the power of their data with AI — are you? Could Postgres + AI help you solve complexities and extend your digital transformation possibilities? Sound off in the comments with thoughts! 👇

Is AI hype starting to fade? Deutsche Bank analysts predict that the enthusiasm for artificial intelligence that fueled the U.S. stock-market rally in the past year is set to transition into tangible real-world applications. According to Adrian Cox and Galina Pozdnyakova, 2024 marks a pivotal year for generative AI to move beyond experimentation and for industry leaders to emerge. While the hype initially skyrocketed in 2023, reaching almost 3,500 mentions in Q3 earnings calls, Deutsche Bank notes a decline by Q4, signaling a shift toward practical, "real-world uses" rather than mere "pie-in-the-sky applications." The analysts emphasize the integration of generative AI into existing software, such as Microsoft's Copilot chatbot and Alphabet's Duet AI for Google Workspace Enterprise. However, they caution about potential challenges, including the collision of AI with the ballot box, raising concerns about disinformation and the need for regulation. What are your thoughts on the future of AI in 2024? Share your insights below! #AI #Technology #Finance #FutureTrends #financialfreedom