Unikoo’s Post

#7 AI 10 SERIES: WHY CHATGPT WILL MAKE OR BREAK YOUR BUSINESS—NO JOKES (EXCEPT WHEN THERE ARE) We’re living in an age where AI isn’t just a buzzword, it’s the engine driving industries forward—if you’re still skeptical, well, maybe your competitor’s AI isn’t. In a recent interview (check out Alexander Klöpping’s take here Link), Klöpping smartly points out that AI is not just about what it can do, but how we’ll use it. But let’s be real: It’s no longer about “what if,” it’s about “how fast.” So, let's cut to the chase—while we debate the ethics of AI, it's already shaping the future of top companies, especially in the Dutch marketplace. ChatGPT, for instance, is rewriting how businesses operate, automating customer service, and enhancing creativity like never before. Now, which Dutch companies should be paying attention? Here’s the list of Top 10 Dutch Companies that could ride the AI wave, or risk being left behind: 1. KLM – From automated customer service to real-time flight predictions, AI could optimize both customer experiences and operational efficiency. 2. ASML – AI helps in microchip manufacturing by predicting defects before they happen, ensuring the highest quality output. 3. Philips – Healthcare AI can aid in diagnostics and patient care, ensuring faster, more accurate treatments. 4. Heineken – AI-based customer data analysis can transform personalized marketing and predict emerging trends (because who doesn’t want to know what the next IPA craze is?). 5. Shell – AI can optimize oil extraction by analyzing huge datasets, potentially saving millions annually. 6. Unilever – From supply chain management to marketing automation, AI can streamline global operations with minimal human error. 7. Rabobank – AI is already transforming financial services, but Rabobank could boost personalized banking experiences, fraud detection, and even wealth management. 8. Booking.com – Using AI for predictive analytics and better personal recommendations could make travel searches feel eerily personalized. 9. Ahold Delhaize – AI could revolutionize inventory management, using real-time data to avoid overstocking and reduce waste. 10. TomTom – With AI-driven navigation and autonomous vehicle technologies, TomTom could cement its place in the future of transportation. If you’re in the C-suite and your company isn’t already leveraging ChatGPT or AI in general, we’ve got bad news: you’re already late to the party. But don’t worry, we’re not here to scare you—we’re here to show you the future. 👉 Want to know how AI can take your business from “playing catch-up” to “setting the trend?” Share this post, follow me, and let’s chat. AI won’t wait. #AI10 #ChatGPT #ArtificialIntelligence #FutureOfBusiness #DutchInnovation #BusinessGrowth #Leadership #AIInBusiness #DigitalTransformation #DataDriven https://lnkd.in/d4CGmxqw

Why do AI tools significantly increase personal efficiency, but seem to fail when applied in a business-wide context? There's several thing at play, which my co-founder Charles explains in this article by Data News. And this is why we built uman the way we did 😉

Anthropic recently launched the enterprise version of its generative AI (#GAI) tool, Claude AI. Although OpenAI released #ChatGPT Enterprise a year ago, GAI for large companies is still in its early stages. Besides Gemini Enterprise by Google, other major GAI providers still don’t have offerings for this segment. G2’s data provides more insights into the use of GAI in the enterprise segment: - Only 15% of reviews from all AI categories on G2 are from enterprise users. The percentage is even lower for Claude AI (with 10%) and ChatGPT (12%). Of the main GAI products, only Google Gemini has a significant number of enterprise reviews (21%) - Established AI software like machine learning has 40% reviews from enterprises, which is also the largest segment, as opposed to AI Chatbots and LLMs, which have the most reviews from small businesses. My take on this is that the new Claude Enterprise will increase competition and make GAI more attractive to large companies. To be successful, enterprise GAI should allow companies to use their data while ensuring that it won’t be used to train publically available AI models. Furthermore, enterprise GIA must incorporate best practices and workflows for various industries or use cases (e.g., finance, HR, supply chain). This would allow traditional enterprise vendors like SAP or Salesforce to better support large companies with their GAI tools, such as #SAP Joule and #Salesforce Copilot. Almost one year ago, I predicted that generative AI would fall short for enterprises in 2024. ChatGPT has 200 million active users today, but only 1 million use their business offerings (Team and Enterprise). Check out my predictions in the comments below.

So far, 2024 has been marked by relative calm in the field of AI innovation. But the arrival of Project Strawberry, also known as Q*, promises an exciting turnaround, especially for business AI applications. 📖 Our latest article offers an in-depth look at Q* and its role in business AI applications: - What is QSTAR? Discover how this project elevates AI reasoning to a new level. - How does this relate to AI agents and language models? Understand their role in expanding business opportunities. - Why is AI reasoning crucial for your business? Read about the impact on your (daily) operations. 👉 Read the full article here: https://lnkd.in/eunw_yW7

So will AI replace call centers? Let me tell you, the advancements in Voice AI and LLM's have opened so many doors of possibility that AI bots can certainly do a majority of call center work. But here is the thing, this would also allow a startup or an upcoming FMCG or D2C company to also setup a similar call center infra just like their large rivals. The cost of setting up and running business has come drastically down using AI. AI is not going to replace humans, but humans using AI would certainly do. We at hirex.ai have also enabled AI tools for our customers to conduct large scale interviews similar to much larger rivals who have an army of recruiters and internal teams to do similar interview and recruitment campaigns at scale. All this at a fraction of the cost. Get your FREE account now and start growing your team and business https://www.hirex.ai https://lnkd.in/gRE86nEv

AI is not going to implement itself, but governments can help The AI hype has passed, and the overexcited futurists' voices are mercifully fading away. We're now entering a practical era where AI is leveraged to boost productivity in businesses, non-profit, and public organizations. This shift brings a sobering realization: AI integration requires a meticulous, pragmatic approach to build reliable and trustworthy systems. It's a lot of work and requires some strategy. When a single person manages a well-defined workflow, integrating AI is relatively straightforward. It's easy to incorporate AI tools like ChatGPT or Claude to assist with ad copy, reports, or applications. The beauty of these scenarios lies in their simplicity - the user acts as both operator and quality controller, immediately judging the output's effectiveness... https://lnkd.in/gGBBUu6v

The study conducted by researchers on the use of generative AI tools, such as ChatGPT, in real workplaces highlights the positive impact such technologies can have on productivity and employee satisfaction. The research focused on nearly 5,200 customer support agents at a large software company, who were introduced to an AI assistant that provided real-time recommendations and access to internal documents. The AI tool helped agents by suggesting responses to customers and offering information about technical issues. The results of the study showed that workers using the AI tool were 14% more productive than those without it. This was measured by the number of customer issues they resolved per hour. Additionally, the AI-supported agents were able to handle more chats, resolve issues faster, and achieved slightly better outcomes in problem resolution. Interestingly, the productivity boost was most significant among less skilled or experienced workers, who experienced a productivity gain of up to 35%. This finding suggests that generative AI, rather than replacing workers, can enhance their performance by assisting them with tasks, streamlining processes, and offering real-time support. The positive outcomes observed in the study challenge the fears surrounding generative AI, showing that it can improve work efficiency and job satisfaction when applied in a supportive role in workplaces. #artificialintelligence #decisionmaking #technology #problemsolving #productivity #success #business #workplace #management #leadership #ai #futureofwork #skills

Generative AI has sparked both excitement and concern since it gained widespread attention. Advocates argue that tools like ChatGPT and DALL-E will revolutionize industries, while critics caution against risks such as misinformation, harm, and job displacement. Until recently, the real-world impact of deploying generative AI at scale was largely untested. A groundbreaking study, published by the National Bureau of Economic Research, has shed light on the positive potential of generative AI in workplaces. The research observed 5,200 customer support agents at a Fortune 500 software company who were given access to an AI assistant over a phased rollout from November 2020 to February 2021. During live support chats, the AI tool provided real-time suggestions, offering responses and links to internal technical documents. The results were striking. Workers assisted by the AI were 14% more productive, resolving more issues per hour and handling conversations more efficiently than those without the tool. Productivity gains were particularly significant for less skilled and less experienced employees, who saw improvements of up to 35%. The study also noted happier customers and higher employee retention rates, indicating broad benefits. This research highlights generative AI's potential to enhance productivity, empower employees, and improve customer service, especially when thoughtfully integrated. #artificialintelligence #decisionmaking #technology #employees #management #workplace #productivity #success #emotionalintelligence

It can be difficult to face security challenges alone. Here at Optimum Healthcare IT, we stand with you and your organization as you explore the power of LLMs. Make sure to download our new ebook, “Securing LLMs: Essential Guide for Safe AI Integration and Implementation,” and connect with me if you’re looking for a partner for the path ahead.”

AI could kill off most call centers Good read on impact of AI on Jobs AI is changing the game for call centers in India. According to K Krithivasan, TCS chief executive, the widespread adoption of generative AI among multinational clients is poised to revolutionize traditional call center operations. “We are in a situation where the technology should be able to predict a call coming and then proactively address the customer’s pain point.” - K Krithivasan, Check out this article to learn more about the impact of AI on jobs and how it may affect the call center sector in India. #AI #callcenters #India #technology #jobs