Job.com’s Post

#knowledgemanagement is going to be the stepping stone for the effective #Generative #AI datasets/knowledgesets development for harnessing organizational intelligence!! the sucess of organizations in next decade depends on harnessing the human capital ! i.e. tapping into employees, clients, vendors, and market intelligence etc through systematic knowledge management approach !! Excellent infographic MIT Sloan School of Management !!!!

🚀🧠 𝐃𝐨𝐞𝐬 𝐚 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐛𝐞 𝐡𝐮𝐦𝐚𝐧? 🤖💼 Advancements in artificial intelligence inevitably impact every aspect of business operations, including management processes. Companies are increasingly seeking ways to optimize their managerial processes through the implementation of AI-based solutions. 📈💡 Of course, there's no fear that AI will replace leaders, but it can significantly ease their work by supporting decision-making processes and enhancing operational efficiency across the organization. 🤝🔍 So, what are the areas where AI can and should support managers? 🤔💼 1️⃣ 𝐈𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: AI can expand human cognitive and analytical capabilities, enabling faster and more precise decision-making. 📊🧠 2️⃣ 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: By automating repetitive tasks, AI allows managers to focus on strategic and creative tasks, thereby improving the overall efficiency of the team. ⏰🔄 3️⃣ 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐭𝐞𝐚𝐦 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐚𝐧𝐝 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Analyzing the work of individual team members with AI support allows for more personalized and helpful recommendations, increasing team engagement and effectiveness. 🌟💬 However, when using AI-based tools, it's essential to maintain a balance and critically analyze the consequences of their usage. 🤔💡 While AI can be a powerful tool, the final judgment and decisions must always come from humans. 🤝🧠 #ArtificialIntelligence #Innovations #TeamManagement #Technology #BusinessDevelopment #AI #Management #Leadership

Generative artificial intelligence has rapidly become an organizational priority, but how can companies use AI most effectively? Generative AI leaders could encourage use of the technology, in part, to help with managing employees. This encompasses three key areas: • Talent development. Companies can use chatbots and other tools to recruit people and help them manage their careers. • Productivity. AI can be used to create assessments, give feedback, manage collaboration, and provide skills training. • Change management. This includes both internal and external knowledge management. https://lnkd.in/dzjz-Jey

AI optimizing Knowledge and Change Management. Those 2 domains are usual suspects of agile Projects Bottlenecks. I remember how we used to measure the need for agile methods with how chaotic requirements are 🤓 wonder how this changes the IREB content. #Goingfullcircle

This gives great context for how/why a GenAI strategy is needed for corporate operations.

𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐓𝐚𝐥𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐂𝐡𝐚𝐧𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 🚀 Generative artificial intelligence has swiftly become a top priority for organizations, but the question remains: How can companies harness their power most effectively? 💬👇 Generative AI leaders can encourage the use of this technology in three pivotal areas: 𝐓𝐚𝐥𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐂𝐡𝐚𝐧𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 #GenerativeAI #TalentDevelopment #Productivity #ChangeManagement #AIinBusiness

Generative artificial intelligence has rapidly become an organizational priority, but how can companies use AI most effectively? Generative AI leaders could encourage use of the technology, in part, to help with managing employees. This encompasses three key areas: • Talent development. Companies can use chatbots and other tools to recruit people and help them manage their careers. • Productivity. AI can be used to create assessments, give feedback, manage collaboration, and provide skills training. • Change management. This includes both internal and external knowledge management. https://buff.ly/3vQBUAY

Being an AI project manager comes with its own unique set of challenges. Managing AI products requires a blend of technical understanding, strategic vision, and leadership. Here are a few hurdles we often face: 📙Complexity of AI: AI technologies are intricate, often involving cutting-edge research. Understanding the nuances and translating them into actionable project plans is no small feat. 📙Evolving Technology: AI is constantly evolving. Keeping up with the latest advancements and ensuring the team’s skills are up to date is crucial for staying competitive. 📙Data Dependency: AI products thrive on quality data. Ensuring access to reliable, well-labeled data while managing data privacy concerns can be challenging. 📙Uncertain Outcomes: Unlike traditional projects, AI projects often involve experimentation. Managing stakeholder expectations when outcomes are uncertain requires clear communication and a flexible approach. 📙Ethical Considerations: As AI becomes more pervasive, ensuring that our products are ethically sound and unbiased is paramount. Balancing innovation with ethical responsibility is a continuous challenge. Despite these challenges, the role of an AI project manager is incredibly rewarding. It’s about navigating the unknown, leading teams through complexity, and ultimately, driving innovation. Embrace the journey, stay adaptable, and keep pushing the boundaries of what's possible. #AIProjectManagement #AIChallenges #Leadership #Innovation #EthicalAI

💼 3 Ways Generative AI Can Boost Organisational Effectiveness 💼 Generative AI is transforming how companies manage employees and boost productivity. Here are three key areas where AI can be a game-changer: 1. Talent Development: Generative AI can streamline recruitment, assisting in screening, interviewing, and onboarding new talent. Additionally, chatbots can guide employees through career development, offering personalised advice and training recommendations. 2. Productivity: AI-powered tools can enhance productivity by automating routine tasks, creating assessments, providing feedback, and supporting collaboration among teams. This allows employees to focus on more complex, value-added tasks. 🛠️ 3. Change Management: Generative AI can facilitate change management by enabling efficient internal and external knowledge sharing. AI can organise and disseminate information, making it easier for employees to adapt to new processes and for customers to access the information they need. 🔄 🌐 👉 Learn more from the link about how generative AI is shaping the future of work. #GenerativeAI #TalentDevelopment #Productivity #ChangeManagement

Do we need managers to an organization in the age of AI? Even in the age of AI, managers remain crucial to organizational success. They provide essential human oversight, ensuring AI systems operate correctly and ethically while aligning with organizational goals. Managers are responsible for setting strategic direction and long-term vision, roles that AI alone cannot fulfill. Their emotional intelligence and conflict resolution skills are vital for managing teams and addressing complex human-centered issues. Additionally, managers guide teams through transitions, ensuring AI integrations are smooth and effective. They also navigate the ethical and social implications of AI use, making critical decisions that balance technology with human values. Ultimately, while AI can enhance productivity, human leadership and judgment are indispensable for navigating the complexities of modern organizations