Michael Jakovac’s Post

Generative AI has the potential to become part of the investment process, but for now, it may be better for understanding methodologies rather than decision making. https://lnkd.in/gtMxuWme

Artificial Intelligence (AI) is revolutionising creative and analytical tasks. Specifically, generative AI is making rapid advancements in the production of new and original content, changing the landscape for several industries and workers. Portfolio Manager Raymond Tong and Investment Analyst James Holston look at what this technology is and the factors driving its push into the spotlight.   Find out more via the link below. #AI #generativeAI #technology #disruption  

We've all experienced how AI can improve personal and professional productivity. Have you considered these three challenges that come along with it? 1. Overcoming bias 2. Policy and regulation 3. Machines taking over Follow us for more #AI content and a related announcement in the coming weeks! https://lnkd.in/eRnWwJA7 #ArtificialIntelligence #Technology

UNDERSTANDING AI BY FUNCTIONS AND CAPABILITIES The different types of Artificial Intelligence (AI) can be categorized based on their capabilities, functionalities, and the extent to which they can mimic or surpass human intelligence. By Function: 1. Reactive Machines: AI systems that respond to the same stimuli in consistent ways without past experiences. 2. Limited Memory: AI that can use historical data to make present decisions. 3. Theory of Mind: Theoretical AI that would understand emotions and mental states. 4. Self-Aware AI: Hypothetical AI with consciousness and self-awareness. By Capability: 1. Artificial Narrow Intelligence (ANI): AI designed for specific tasks, unable to learn beyond its programming. 2. Artificial General Intelligence (AGI): Theoretical AI with learning and understanding capabilities similar to a human. 3. Artificial Superintelligence (ASI): Hypothetical AI that surpasses human intelligence in all aspects. GenAI, or generative AI, refers to a type of AI technology that focuses on generating new content, whether it be text, images, music, or other forms of media. Here's how it fits into the broader AI landscape: 1. By Function: GenAI would be considered a subset of Limited Memory AI, as it uses historical data (training datasets) to generate new content. 2. By Capability: GenAI falls under the category of Artificial Narrow Intelligence (ANI), as it is designed to perform specific generative tasks and does not possess general intelligence or consciousness. Generative AI can create content that is often indistinguishable from that created by humans, but they do not have the ability to understand or interpret the content in the way a human would. >> MY FULL ARTICLE ON THE TOPIC IS IN THE LINK BELOW.👇 — #AI #GenAI #Innovation #technology

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence

Building an effective AI strategy requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. #GartnerIT #AI #Artificialintelligence