Carlos Cuevas Olivar’s Post

Challenges of Future Business: Digital transformation, AI and DeFi In the rapidly evolving landscape of the 21st century, businesses must remain vigilant and proactive to stay ahead of emerging global changes. Digital transformation, artificial intelligence (AI), and decentralized financial and monetary systems (DeFi) are three pivotal forces reshaping industries across the globe. Each of these changes presents unique challenges and opportunities, necessitating a comprehensive understanding and strategic approach to navigate successfully. As technology continues to advance at an unprecedented pace, businesses must address and adapt to these shifts to maintain competitiveness and drive sustainable growth.

In the rapidly evolving landscape of today’s technology, the transition from digital evolution to a transformative era driven by Artificial Intelligence (AI) has become imperative for survival and growth. Just four years ago, embarking on digital evolution was a strategic choice. Now, with the disruptive force of AI, institutions and companies are facing a stark reality: it's time to reinvent or face obsolescence. The advent of AI is not merely an addition to the technological toolkit but a revolution that demands a complete overhaul of strategies, operations, and business models. The leap into this AI-driven future is about navigating uncharted territories, where innovation and agility are the keys to unlocking unprecedented opportunities and overcoming challenges. #DigitalEvolution #AIRevolution #InnovateOrPerish #FutureIsNow

📉 Challenging the AI Hype 📉 Very interesting article from Goldman Sachs challenging the current generative AI hype! Here are some thoughts: 1️⃣ High Costs, Low Returns: Developing and running AI is expensive. So far, no truly transformative or cost-effective application has been found in the 18 months since generative AI was introduced. 2️⃣ Efficiency and Cost Concerns: The human brain is 10,000x more effective per unit of power in performing cognitive tasks compared to generative AI. However, technology costs have always declined over time, and AI is expected to follow this trend. 3️⃣ Challenges with Complex Tasks: Current GenAI has not proven effective in solving complex problems, which is essential to justify its high costs. 4️⃣ Hallucinations: One major problem with GenAI is its tendency to "hallucinate," or generate incorrect or nonsensical information, making it less trustworthy for critical applications. 5️⃣ Premature Adoption Risks: Using AI too soon could create bottlenecks and issues for firms, which might lose the flexibility and problem-solving abilities provided by human capital. As an additional point, generative AI models are non-deterministic, meaning they can produce different outputs given the same input. This poses challenges for consistency and reliability. Check article for more insights. 🌐💡 #ArtificialIntelligence #GoldmanSachs #AI #GenerativeAI https://lnkd.in/dV2a94HV

The Most Valuable Currency in Tech Today In today's rapidly evolving tech landscape, while advancements in AI hardware are undeniably significant, the true cornerstone of value is data. As technology continues to advance, the ability to harness unique and proprietary datasets becomes increasingly crucial. This capability not only fuels innovation but also provides a distinct competitive edge. Companies that effectively leverage their data resources can unlock new insights, drive strategic decisions, and ultimately shape the future of the industry. #TechInsights #DataDriven #Innovation #Ai #Proprietary

Managing availability has been a challenge since computers first came into existence. Let’s face it—things break, and digital infrastructure is no exception. How we've handled availability has evolved alongside each major shift in tech. Now, we're in the middle of another big one—AI, especially generative AI—which is shaking things up just as much as the internet did. What’s different this time is that the only way forward is by tapping into the innovation AI brings. This session at next week's AI Networking Summit will explore the challenges of ensuring digital availability and highlight AI's crucial role in driving this technological revolution. Tickets are still available: https://hubs.li/Q02JXsxf0 #AINetworkingSummit #GenAI #enterprise

"Artificial intelligence is almost certainly revolutionary in the sense that it will spawn new technology platforms, transform or eliminate many industries, and create new ones. But it must be understood as belonging to a larger, more mature technological revolution that began a half-century ago." https://lnkd.in/dv45MUac Article by Carlota Perez. Her 2002 book, Technological Revolutions and Financial Capital, was ground-breaking #ai #technology

In 2024, the artificial intelligence (AI) sector is projected to witness a remarkable investment of $33 Billion reflecting the growing recognition of AI's transformative potential across various industries. This significant spending highlights companies' commitment to leveraging AI technologies to enhance the software development lifecycle (SDLC), ultimately making it more efficient and error-resistant. #AI #SoftwareDevelopment #TechInvestment #PredictiveModels #Efficiency #ErrorReduction #Innovation #AITrends #FutureTech #DigitalTransformation

AI Technology Insights LogicMonitor Targets AI Disruption with $800 Million Investment, $2.4 Billion Valuation https://lnkd.in/gmtA9Yum #LogicMonitor #AIInvestment #TechInnovation #ArtificialIntelligence #BusinessGrowth

In the telecommunications industry, AI holds significant potential for optimizing network operations and offering AI as a service. However, achieving these benefits won't be straightforward. Ensuring the reliability of generative AI in network operations is a journey that requires careful planning and phased execution. Additionally, developing use cases that effectively monetize AI investments presents a considerable challenge.