Tatiana Hürlimann’s Post

We've been inundated with hype around GenAI these past few years. The developments in the AI space are exciting and the possibilities of what AI can do are mind-boggling. But this author says the GenAI hype is almost over. And keeping in mind that 80% of AI projects fail (see article), what can companies do to adjust their AI adoption strategies? https://bit.ly/4d9O7js #ai #generativeai #genai #hype

It is crucial to recognize that the true value of AI lies not merely in its existence but in its Strategic Application—what is often referred to as AI+ or "Applied AI". We are excited to share our latest blog post on the development of AI in SPM. https://lnkd.in/dJasHipe

Defining AI systems is important to distinguish them from non-AI systems. Experts at #OECD published this piece of thought leadership on the topic, "What is AI? Can you make a clear distinction between AI and non-AI systems?" Definitions are important for ethical, legal, and regulatory purposes. This excerpt from the article provides the latest definition: The revised definition: "An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment." There are many more insights in the article, which I highly recommend reading. #AIsystem #AIdefined #AIdefinition https://lnkd.in/eGJfR2TM

Title: When Not to Use Generative AI Comment:,Misusing GenAI diminishes the value of AI in organizations: Amid the hype over GenAI, it’s important to ask if GenAI — or another kind of AI — is really what you need. Misusing GenAI will sabotage your results. See… https://lnkd.in/eTwhrvHT Generative AI (GenAI) adoption has exploded over the past year, and it has rapidly become one of the most deployed AI techniques across business units and organizations, according to Gartner surveys. There’s a good reason: GenAI offers the promise of both everyday and game-changing business improvements. But GenAI is not a silver bullet. Download Now: 4 Initiatives to Get Your Enterprise AI Ready Generative AI is only one piece of the much broader AI landscape, and most business problems require a combination of different AI techniques. Ignore this fact, and you risk overestimating the impacts of GenAI and implementing the technology for use cases where it will not deliver the intended results. Use this guidance to evaluate when to use GenAI, when to use alternative AI techniques, and when to lean on some combination of the two.

Sharing this article from Forbes Steve Andriole "AI, machine learning, generative AI and — eventually — artificial general intelligence (AGI) will displace knowledge workers – well-educated professionals – especially in the financial and service sectors. In fact, every industry will be impacted by AI in extraordinary ways we cannot precisely describe today." ___________ This is an example of the type of content that we curate for Teckedin.com, my tech-only knowledge base __________ #AI #techjobs #innovation #automation #hr #productivity https://lnkd.in/dKkfq58i

📍 Explainability Is Necessary For AI’s Success ▫️ In the rapidly evolving landscape of enterprise AI adoption, Forrester's recommendation to leverage the seven levers of trusted AI, with a particular focus on transparency, underscores the critical role explainability plays in fostering stakeholder trust. ▪️ As generative AI models gain prominence, this article explores the enduring importance of explainable AI, addressing regulatory demands, mitigating distrust, and showcasing its recognition as a top emerging technology for 2023. Read the complete article here ⤵️ https://lnkd.in/ge-3CbQJ #xmanai #artificialintelligence #ai #xai #explainableai

The next evolution of AI is already here—and hiding in plain sight Generative AI’s remarkable achievements are creating a growing misconception among executives that all previous artificial intelligence technologies will become obsolete. The resulting over-emphasis on generative AI is counterproductive, leading to the compartmentalizing of AI talent and resources. This ultimately limits AI’s potential because generative AI alone cannot solve every type of problem. That’s why the next phase in the evolution of AI use won’t hinge on a new technological breakthrough. Instead, it will emerge as executives adopt a cohesive, strategic approach to AI—what we call a One-AI approach—that pairs the latest generative AI with other forms of AI to achieve far more than each can do on its own. The different uses of each form of AI complement one another, which is why Mastercard’s chief innovation officer, Ken Moore, has rightly argued that “combining the two facets of AI [i.e., generative and predictive] can produce superior results.” Yet companies’ tendency to segregate AI resources makes it hard to achieve those results, as it slows the process of AI adoption and threatens investment in predictive AI in particular, despite its demonstrated ROI. https://lnkd.in/gtBg9i7u #AI #GenerativeAI #evolution #PredictiveAI

"Like many new technologies, generative AI has been following a path known as the Gartner hype cycle, first described by American tech research firm Gartner. This widely used model describes a recurring process in which the initial success of a technology leads to inflated public expectations that eventually fail to be realised. After the early “peak of inflated expectations” comes a “trough of disillusionment”, followed by a “slope of enlightenment” which eventually reaches a “plateau of productivity”." #ai #technology #technews #management #changemanagement #artificialintelligence #productdevelopment #strategy https://lnkd.in/ecxyGYzp

Understanding what AI can't do is just as crucial as knowing what it can do. Stay informed and stay ahead! #AI #TechKnowledge #Innovation #MachineLearning #FutureTech #AIethics https://lnkd.in/gTxfb3W8

🔎 Transparent AI is No Longer a Choice, It's a Necessity As AI infiltrates critical sectors, the demand for transparency grows. Can we afford opaque decisions in healthcare or finance? Explore the challenges and solutions of AI decision-making in our latest post, where we discuss how Explainable AI (XAI) fosters trust and accountability in technology. Dive in and learn how XAI paves the way for a future of fair and understandable AI systems ➡️ https://drgns.co/3UkxVGi #AItransparency #AccountableAI #Dragonscale #DecodingAI #XAI