Info-Tech Research Group’s Post

AI integration is not just about adopting cutting-edge technologies; it’s about deliberately aligning your workforce with technological advancements. Through strategic workforce planning, IT teams can navigate the dynamic landscape of AI implementation and ensure a workforce that is adept and adaptable to the evolving environment. Emerging best practices are still being identified, putting your organization in a reactive state. Proactive planning is crucial to aligning talent with strategic business objectives and technology changes in the dynamic AI landscape. Recalibrate your IT workforce for AI and align your workforce with the evolving landscape of AI technology. —Simplify the AI workforce planning process with help from Info-Tech’s AI Competency Library and skills gap analysis tool. —Define the AI competencies needed by breaking down your AI use cases and strategy. —Assess the high-level AI proficiency gap in your workforce to pin-point key competencies of focus. —Identify initiatives to address the proficiency gap and acquire the skills needed to deliver. —Rather than anticipating jobs determine what mix of AI skills is needed.

🎓 The University of Nothing - An advertisement that shows the importance of AI Model governance 🎓 I came across this advertisement on LinkedIn a few days ago and it portrays the future of AI assistants. Although this is done with a hint of humour, it pictures how we as humans may rely on AI in the future to do (some of our) work for us. If we rely on AI to do parts of our work, we need to make sure that we do it in a transparant, ethical and governed way, and while doing that be compliant to AI regulation (such as the EU AI act). In simple terms, we need to KNOW that the AI does what it needs to do without drift and bias. If people rely more and more on AI employees and colleagues will expect AI to do the job that it should do, but to our customers we should be able to guarantee that. 📩 If you want to know more how we as IBM can help you with the governance of your AI using watsonx.governance, feel free to shoot me a message. #AImodelgovernance #EUAIact #ethicalAI #watsonx #aigovernance #aiforbusiness #AI #IBM #AIassistants

In today's AI-driven world, ensuring quality in AI is more vital than ever. Neglecting it can harm your brand, finances, data security, and opportunities. 👏 Explore the reasons why AI quality matters in our latest blog. Let's explore the critical facets of AI quality assurance that are crucial for your organization's success in the age of AI. 👉 https://lnkd.in/dfFzRJ8h Interested in how we can support and advise you on your journey? Check out our "AI Within QA" page, and find out more. Feel free to reach out if you have any questions. 👉 https://lnkd.in/dXh7zTG8 #aiwithinqa #qualityassurance #ai 

If you want to use generative #AI profitably, you need more than algorithms. Companies need to develop an AI vision and check their AI maturity and readiness. After all, the technology can only unfold its potential with a solid infrastructure and data basis. And only with the necessary know-how can people keep pace with the development of the machine. What do we need to correctly assess and use #AI? 👉 User knowledge 👉 Ethical principles 👉 Data protection compliance 👉 Approaches for sustainable use of AI. Want to know more? Read the blog now: http://ms.spr.ly/6048lOpHq #rethinkthesystem #AI #assessment #sustainability Ana Miola

"#AIsafety is not a #model property: Trying to make an AI model that can’t be misused is like trying to make a computer that can’t be used for bad things". Such an excellent, apt quote from a great article by Arvind Narayanan (Randomwalker undefined) & Sayash Kapoor. Personally, I've always thought that from policy and societal/economic perspectives, it's far better to regulate the USES of tech, i.e. how tech is used and for what purpose(s), rather than trying to regulate certain tech in itself - with very limited exceptions, like things that can only be used as weapons, particularly those with apocalyptic consequences. https://lnkd.in/ej6ajDFN #ai #artificialintelligence #ml #machinelearning #safety

How to Use Artificial Intelligence to Achieve Your Goal: 1. Define your objective clearly and precisely. 2. Gather relevant data to train your AI models. 3. Choose the right AI tools and platforms for your needs. 4. Develop and fine-tune your AI algorithms. 5. Integrate AI solutions into your existing systems. 6. Continuously monitor and evaluate AI performance. 7. Adjust and improve based on feedback and results. 8. Ensure data security and privacy. 9. Educate your team on AI usage and best practices. Failure to leverage AI effectively can cost companies millions in lost productivity, missed opportunities, and competitive disadvantage. Plus, it's no fun to feel left behind because you're constantly worried you might be missing out on the latest advancements. This is why it’s important to feel empowered to embrace AI and learn the skills to be able to do so effectively. Which one stands out to you? #ArtificialIntelligence #AI #MachineLearning #TechInnovation #DataScience #AIGoals #AIIntegration #FutureOfWork #TechSkills #AIForBusiness #Innovation #AITrends

True success of AI projects lies in upholding stringent AI quality and compliance standards. Trust in AI transforms potential into success. Dive into the insights of our whitepaper: https://lnkd.in/eUhezefC TÜV SÜD has developed an AI Quality Framework, which enables organisations to manage the complex requirements of AI. This framework draws its foundation from existing and forthcoming standards, regulations, business prerequisites, and best practices—proactively minimising the inherent risks of AI. One of the application of this quality framework is a Readiness Analysis, offering a clear guidance on risk evaluation and organisational maturity. We've successfully implemented this in real-world industrial contexts. Check out our white paper and learn more. #tuvsud #aiquality #ai #responsibleai #trustworthyai

Last week, the US Government Accountability Office (GAO) dropped a unique #AI report that delves into the landscape of artificial intelligence across major non-defense federal agencies, offering a snapshot of their AI use and compliance with existing requirements.🤖📊 The key takeaway: agencies need time and resources to fortify their AI practices, update inventories, craft robust plans and policies, and fully implement AI regulations as an annual process. As your agency begins to adopt AI into practice, understanding the types of AI technology is critical. Read our blog to learn more:  https://lnkd.in/eF8hKpwh #AIinGovernment #AI #Innovation #FederalAgencies #GovTech

3 important things you need to know before entering in AI space: 1️⃣ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀: AI can very efficiently automate some of our tasks, but it comes with high costs and lacks human empathy. The best start is by improving your prompts. 2️⃣ 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮: The quality of AI systems relies on the data they are trained on, because of that accurate and high-quality data are very crucial. 3️⃣ 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: AI can produce inaccurate results, for example, 1 of 5 outputs can potentially be wrong. These "hallucinations" bring biases and ethical challenges that need proactive management.

Explore the impact of Open AI on enterprises 🌐 With the power of artificial intelligence frequently caught up in the rumour mill, there’s concerns around the ethical implications appearing just as quickly as AI’s capabilities. The lines between fact and fiction are becoming increasingly difficult to tell, and with more articles arriving about AI and job security, it’s time to uncover the impact of open AI on your organisations! In this free guide, unveil the power behind rich data insights, enhanced customer support and the art of making informed marketing decisions. Visit https://ow.ly/iaOc50QxXkE #ai #artificalintelligence #enterprisearchitecture #business #manchester #teamANS #businessboost #teamwork #AIwhitepaper #insights