Michael M. Nussbaumer’s Post

The Hype Cycle is a graphical representation developed by the research and advisory firm Gartner that describes the maturity, adoption, and social application of specific technologies. It illustrates the typical adoption pattern for new technologies, showing the phases that technologies go through from introduction to widespread adoption and eventual plateau. The Hype Cycle consists below 5 self explained main phases: 1. Innovation Trigger 2. Peak of Inflated Expectations 3. Trough of Disillusionment 4. Slope of Enlightenment 5. Plateau of Productivity As the below research suggest “Many GenAI technologies have already found their way to the Peak of Inflated Expectations”, there is an obvious progression to next stage of "Trough of Disillusionment". The "Trough of Disillusionment" stage in the Hype Cycle represents a period where a technology falls into a phase of disillusionment and disappointment following the peak of inflated expectations. During this phase, the initial excitement surrounding the technology gives way to a more realistic assessment of its capabilities, limitations, and potential drawbacks. Key characteristics of the Trough of Disillusionment stage in the Hype Cycle include: 1. Unmet Expectations leading to disappointment and skepticism. 2. Negative Press and Public Opinion 3. Reduction in usage Basically there is a need of careful deliberation, considering and scrutinising industry specific use case by case for the cost-benefit analysis before boarding the bandwagon of GenAI. #GenAI #hypecycle

Interesting read on Gen AI and its cycle...

The opportunity space with GenAI is vast, offering significant uplift to productivity and business impact by identifying value across processes and workflows. While Gartner warns of a looming trough of disillusionment with Generative AI, businesses and functional areas like customer service and marketing are already finding solid applications that add significant value. Whether you’re just starting with AI, structuring approaches to enhance productivity, or looking to identify opportunities to apply AI in your organisation, this article is a great starting point. #GenerativeAI #Productivity #AI #BusinessStrategy #AIStrategy

Very Insightfull.. Everything about Gen AI is now over-hyped .. it is time to watch and analyse rather than to invest and set high expectations.

Interesting #quote by Gartner : ‘Avoid overestimating the impact and underestimating the complexity of GenAI’ Focus on building the best, most secure and scalable GenAI platform and land use cases accordingly as they bring value to the business.

Peak #GenAI is reached, let's shift gears and push through the use cases everybody has in mind to #continue #learning what it takes to provide the sustainable business #value we can see being painted on our horizons. What thoughts and considerations do you take to bring a workload into production? How do you manage and sustain quality of your solution? Would be very interested to exchange on GenAI #productionreadiness!

It interesting that Artificial General Intelligence is the only thing on the hype cycle that is over 10 year out .. I have always liked the Gartner Hypecycle , however not sure I agree with the time line for all of the various key milestones. Also , GenAI is more than just the elements in the table focused .. it is the corner of Industry technology adoption and also there is a very large overlap between OT & IT when it comes to it . as Yuval Noah Harari puts it the first technology in human history that will take power away from us... AI in service of humanity ?

According to Gartner, #genai technologies are about to fall into the Trough of Disillusionment. At the same time, based on The Economist, "the combined market value of Alphabet, Amazon, and Microsoft has jumped by $2.5 trillion during the AI boom", risking to configure this period as the maturity stage of a market bubble. What happens next? Surely many failures begin to take place, lowering expectations with respect to initial hype, but, in parallel, some real use cases will consolidate through a coproduction phase that has never happened before, which will engage users of GenAI.

Business units and IT functions are rapidly adopting GenAI. The IT sector is particularly concentrating on integrating GenAI within the software development life cycle, as well as enhancing infrastructure and operations.

🚀 Embracing Generative AI in Enterprises! The rapid evolution of Generative AI is transforming the enterprise landscape, offering new opportunities for innovation and efficiency. As organisations look to integrate these advanced technologies, understanding the strategic implications and best practices is crucial. 🔍 Key Insights from Gartner: 1. Strategic Planning: Importance of aligning AI initiatives with business goals. 2. Data Management: Ensuring high-quality data for AI models. 3. Ethical Considerations: Addressing biases and ethical implications. 4. Talent Acquisition: Building a team with the right AI expertise. 5. Security & Compliance: Ensuring AI systems adhere to regulatory standards. 6. Maturity Levels: Assessing the organisation’s readiness for AI implementation. 📚 Further Reading and Recommendations: - Gartner's Guide on Generative AI for Business: https://lnkd.in/eTS7fUzn - "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell - "AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee - McKinsey's Report on AI and Data Analytics: https://lnkd.in/eyaMkv7b - Harvard Business Review's Article on AI Strategy: https://lnkd.in/eDz33M8M #GenerativeAI #EnterpriseAI #Innovation #BusinessStrategy #AITransformation #Security #Compliance