Alexandra Chevis’ Post

Thank you for your post Alexandra Chevis. Indeed Global Private Investments have declined in AI since 2021, according to 2024 AI Index Report from Stanford University. 🤖 Despite of that, #GenAI investments skyrocketed in 2023, representing about 25% of the total, and are expected to continue climbing. 👉 At the same time private investors are cautious about the real added value of the thousands every-day-released AI-powered startups and their expected ROI. ESCP Business School 3EI

“The best way to work with [AI] is to treat it like a person, so you’re in this interesting trap.” — Ethan Mollick The anthropomorphism of AI can fuel fears of it becoming an existential threat. In reality, AI will likely continue to grow and help improve human lives. “It is our imagination (or lack of it) that determines our ability to access the new opportunities and possibilities of working digitally” The benefit of AI is certain considering every operations in Business. The complex and any kind of business information that we are getting through AI, it’s obvious that the Future Business Decision Making Process will be much more efficient, logical and effective as well. Artificial Intelligence with Intelligent Automation will definitely delivers business processes with speed and precision, and a human workforce with the freedom to focus on what is important..✅✅ #futureofwork #disruption #technology #digitaltransformation #artificialintelligence #disruptivetechnologies #business #management #strategy #collaboration #human #machine #efficiency #productivity #leadership #futureofbusiness #society #life #futurism #wharton

Harness the Power of AI for Smarter Equity Investing In today's fast-paced and data-driven investment landscape, artificial intelligence (AI) is revolutionizing the way we approach equity selection. By leveraging advanced machine learning algorithms and natural language processing capabilities, AI has the potential to uncover valuable insights that can give investors a significant edge. 1. Enhanced Data Analysis: AI excels at processing vast amounts of structured and unstructured data, including financial statements, news articles, social media sentiment, and market trends. This comprehensive analysis allows for more informed decision-making by identifying patterns and correlations that may be overlooked by traditional analytical methods due to the velocity and volume of data. With the advancement in Large Language Models (LLMs) it can be used to extract info from unstructured data. 2. Reduced Cognitive Biases: Human investors are susceptible to various cognitive biases, such as anchoring, confirmation bias, and herd mentality, which can lead to suboptimal investment decisions. AI, on the other hand, operates objectively, free from emotional influences, and can provide an unbiased perspective on equity valuations. 3. Real-time Monitoring: AI systems can continuously monitor market movements, news events, and other relevant data sources, enabling real-time adjustments to investment strategies. This agility is crucial in today's rapidly changing markets, where opportunities and risks can emerge swiftly. By combining the computational power of AI with the contextual understanding and intuition of seasoned investors, its make more informed decisions and navigate the complexities of the financial markets with greater confidence. As the adoption of AI in finance continues to grow, those who embrace this transformative technology early on will be well-positioned to capitalize on its benefits and stay ahead of the curve.

New research suggests : Waiting to learn AI and its business applications in Latin America could result in missed opportunities for growth and competitiveness. Here's why:#latam Global Trend: AI is transforming industries worldwide, including Latin America. By delaying learning about AI, businesses in the region may fall behind competitors who embrace these technologies early.#careersupport Competitive Advantage: Early adopters of AI gain a competitive edge by improving efficiency, enhancing decision-making, and creating innovative products and services. Delaying AI adoption risks losing this advantage to competitors.#pgpaiml Market Demand: As AI becomes more prevalent globally, consumers and businesses expect AI-driven solutions. Latin American businesses need to meet these evolving demands to remain relevant in the market.#aiml Talent Development: Investing in AI education now ensures a skilled workforce capable of driving innovation and economic growth in the region. Waiting could lead to a shortage of AI talent and hinder technological advancement.#talent Economic Growth: AI has the potential to stimulate economic growth by unlocking new business opportunities, attracting investment, and creating jobs. By embracing AI early, Latin America can position itself as a leader in the global digital economy.#latam Overall, learning AI and its business applications in Latin America is crucial for staying competitive, meeting market demands. #Ai

🌟 Exciting News! 🌟 📢 Attention all thought leaders and C-level executives! I have a groundbreaking story to share with you today that will surely ignite your imagination and inspire you to think differently about the future of technology and creativity. 🚀 🤖 Artificial Intelligence (AI) has been a hot topic in the world of computer science for quite some time now. It's the study of developing machines that can mimic human abilities like sensing, thinking, learning, decision-making, and even communicating in a natural and everyday speech style. And guess what? AI-generated video is already a reality! But hold on, because there's a new player in town: Microsoft! 🎥 🔥 Microsoft has recently unveiled its latest creation - a generative AI system that can bring realistic talking avatars to life using just a single picture and an audio clip. Imagine the possibilities! This breakthrough has the potential to revolutionize the creative industry by reshaping the human creative process. 🎨 🎓 Speaking of AI, the University of Arizona is taking a bold step forward by adding two new academic programs for the fall of 2024. Pending approval by the Arizona Board of Regents, they plan to introduce a Bachelor of Science in Artificial Intelligence and a Bachelor of Science in Neuroscience. This move highlights the growing importance of AI in our society and the need for skilled professionals in this field. 🎓 🔬 But it's not just academia that is recognizing the power of AI. Cognizant, a global leader in technology and consulting, has recently launched its Advanced AI Lab. This comes at a time when enterprises are racing to understand the impact of AI and meet the ever-expanding expectations surrounding its promise. The future is here, and it's up to us to harness its potential for positive change. 💡 🌍 Now, let me take you on a journey to explore the incredible impact of AI in social innovation. Check out this thought-provoking article by the World Economic Forum: "AI for Impact: Artificial Intelligence in Social Innovation." It delves into how AI can be leveraged to address some of the world's most pressing challenges, from healthcare to climate change and beyond. 🌱 🤔 So, what does all of this mean for you? It means that the world is changing at an unprecedented pace, and AI is at the forefront of this transformation. As thought leaders and C-level executives, it's crucial for us to stay informed and embrace the opportunities that AI presents. Let's collaborate, innovate, and shape the future together! 💪 🗣️ I would love to hear your thoughts on this exciting development. How do you envision AI impacting your industry? Share your insights in the comments below and let's start a conversation! 👇 #AI #ArtificialIntelligence #Innovation #FutureTech #Creativity #SocialInnovation #ThoughtLeadership #CLevel #Collaboration #Inspiration

"AI will make a lot of previously useful tasks meaningless." Ethan Mollick, the author of that quote, refers to this as task shifting. And, in his interview with Paul Roetzer at MAICON 2023, he told the audience that "if your tasks are not shifting, you're not using AI enough." Today I'll be meeting with 10-15 agency leaders to talk about how we are adapting our companies to meet the challenges and opportunities presented by AI. And, we'll be discussing Ethan's latest book, "Co-Intelligence," which is an evolution of his thinking about AI over the last 5+ years as a Professor of Management at Wharton, specializing in entrepreneurship and innovation. Comment if you'd like to join or have an opinion to share about Ethan, AI, or becoming AI emergent.

The article discusses the growing use of artificial intelligence (AI) and its potential to revolutionize numerous industries. However, it also highlights the concerns of those who are investing in AI technology. Here's a simplified explanation of the article in steps: *Step 1: AI's increasing popularity* AI technology is becoming more prevalent across various sectors. *Step 2: Investment in AI* Many companies are investing heavily in AI research and development. *Step 3: Concerns about returns on investment* Those investing in AI are worried about when they will see tangible returns on their investment. *Step 4: Potential of AI* AI has the potential to transform industries and generate significant revenue. *Step 5: Need for responsible AI development* The development and deployment of AI must be done responsibly to avoid potential risks and negative consequences. *Step 6: Future of AI* The future of AI depends on its ability to deliver practical solutions and provide returns on investment for companies and industries.

**Navigating the Contradiction of AI Investment and Profitability** The current landscape of artificial intelligence (AI) investment showcases a paradox where significant funding, such as OpenAI's $6.6 billion and Anthropic's $4 billion, contrasts sharply with the mere $13.8 billion spent on AI products in 2024. This disparity raises critical questions about the sustainability of such investments and the timeline for realizing returns. Companies are shifting from experimentation to embedding AI into their core operations, yet the challenge remains in translating these innovations into profitable applications. As global AI investments are projected to exceed $500 billion by year-end, how can enterprises effectively bridge this gap between investment and operational success? What strategies are you considering to unlock the true potential of AI in your organization?

Jeff McMillan from Morgan Stanley shares these learnings in their implementation of Generative AI. 1. Generative AI is about six things: search, summarize, analyze, generate, translate, and transcribe. 2. Companies must assess their current capabilities and pinpoint where to start experimenting. 3. Expertise in Generative AI is rare. Early experimentation is key. 4. Train your employees well. User-friendly tools are making deep technical knowledge less critical. 5. Decide whether to build or buy AI solutions. Establish evaluation frameworks for this. 6. High-quality input data is essential. Poor data leads to poor AI outcomes. 7. Invest in enterprise solutions to ensure data accuracy and standardization. 8. A holistic approach to Generative AI boosts operational efficiency. 9. This technology positions businesses competitively in the digital landscape. 10. Strategic integration of Generative AI is crucial for modern enterprises. Understanding these points will help you leverage Generative AI effectively. Transform Challenges into Opportunities: Partner with Us for a Strategic Audit

#GenerativeAI is about six things: search, summarise, analyse, generate, translate, and transcribe. A good starting point to guide you in adopting #genai to the way you work. Great share Suhit Anantula.