Navrina Singh’s Post

What is the current level of AI adoption in your company? Why are so many companies still stuck in the pilot phase? Wanna share some insights from the latest research by Dr. Michael Grebe Dr. Marc Roman Franke, and Armin Heinzl, Prof. Dr. , on how leading companies successfully scale AI. If you’re struggling to extract value from AI investments, this one’s for you. 💡 Number1: Only 8% of companies fully leverage AI, while 58% are stuck in strategizing or piloting stages. AI is easy to experiment with, but turning pilots into real value? That’s where most businesses hit a wall. 💡 Number2: Key to Success? Use Cases. Successful companies don’t just apply AI for the sake of it. They use it to tackle specific business pain points. The focus is on creating value by aligning AI initiatives with business objectives, not just technological experiments. 💡 Number3: The real differentiator? People + Data. Organizations that excel with AI have solid data platforms, robust governance, and dedicated talent to operationalize AI solutions. AI isn’t just tech, it’s about integrating human expertise. 💡 Number4: Results Speak Volumes: Firms excelling with AI saw a 25% reduction in operational failure costs and improved customer satisfaction by addressing disruptions. Real results, not just theoretical value. My Take? As the research shows, scaling AI is all about business alignment. You need the right use cases, a strong data backbone, and human expertise. Focus on AI’s potential to drive both operational efficiency and innovation. If you want to dive deeper check out the full article here: 🔗 https://lnkd.in/eMX7VrSP

AI & VALUE CREATION - interesting synopsis from McKinsey & Company of 10 areas that AI adoption - and the organizations using to deploy it - should be contemplating. Beneath each of the areas described are some probing questions for leaders. In truth I found the questions more informative that the descriptors. The most obvious - and most overlooked in all the headlines and hype - is ensuing that your AI implementation isn't just an innovation for innovations sake but its driving real Enterprise value. By McKinsey's reckoning, a robust digital road map should deliver EBITDA improvement of 20 percent or more. What aspect of this Report stands out for you? Rob Llewellyn Gaurav Singh Syed Tashkeen Iqbal Bilal Jaffery Regine Deleu

Struggling to Scale Generative AI? Here’s Why—and How to Move Forward Scaling generative AI from small pilots to organization-wide systems is a massive challenge for many companies. It’s more than just a technical hurdle; it demands a holistic approach covering data, infrastructure, talent, ethics, and culture. Here are some common roadblocks and ways to overcome them: 1️⃣ Data Complexity & Quality: Generative AI thrives on high-quality, diverse data, but inconsistent or siloed data holds it back. Solution: Build a robust data management infrastructure to ensure data quality and accessibility across teams. 2️⃣ Resource Demands: These models require powerful compute resources that many companies aren’t prepared for. Solution: A hybrid cloud-on-prem approach balances flexibility and control over costs. 3️⃣ Operational Costs & ROI: The cost of generative AI can be high with ROI often unclear at first. Solution: Focus on high-impact, low-cost pilots that demonstrate quick wins and build executive support. 4️⃣ Talent Gaps: Expertise in generative AI is scarce. Solution: Upskill existing teams and consider partnerships with AI service providers for critical stages. 5️⃣ Ethics & Compliance: Regulatory and ethical risks are high with generative models. Solution: Embed ethical AI guidelines into development and ensure transparency and compliance with ongoing monitoring. 6️⃣ Model Management: Managing these models over time requires sophisticated MLOps. Solution: Use tools to automate versioning, monitoring, and retraining, ensuring model stability and accuracy. 7️⃣ Workflow Integration: Generative AI can feel like a “black box” to non-technical teams. Solution: Collaborate with business units to address pain points and foster trust through explainable AI practices. 8️⃣ Cultural Shift: Scaling AI often requires a shift toward data-driven decisions, which can face resistance. Solution: Cultivate buy-in through pilot projects and clear communication on AI’s value. Scaling generative AI is challenging but achievable with the right approach. By addressing these areas systematically, your company can harness AI’s full transformative potential, building smarter, sustainable, and more impactful solutions. #GenerativeAI #AIBusiness #DigitalTransformation #Scalability

Embracing AI is no longer about making a strategic choice. It's about the basic survival of your business. Read more: https://hubs.li/Q02DnJZD0 Post written by DJ Paoni, Forbes Councils Member.

As AI continues to reshape the business landscape, understanding its benefits and risks is crucial for successful adoption. Organizations can harness the potential of AI while navigating the complexities to remain compliant and innovative. Here are some strategies from HiBob to maximize the advantages of AI in your business while mitigating risks:

As AI continues to reshape the business landscape, understanding its benefits and risks is crucial for successful adoption. Organizations can harness the potential of AI while navigating the complexities to remain compliant and innovative. Here are some strategies from HiBob to maximize the advantages of AI in your business while mitigating risks:

As AI continues to reshape the business landscape, understanding its benefits and risks is crucial for successful adoption. Organizations can harness the potential of AI while navigating the complexities to remain compliant and innovative. Here are some strategies from HiBob to maximize the advantages of AI in your business while mitigating risks:

As AI continues to reshape the business landscape, understanding its benefits and risks is crucial for successful adoption. Organizations can harness the potential of AI while navigating the complexities to remain compliant and innovative. Here are some strategies from HiBob to maximize the advantages of AI in your business while mitigating risks:

🚀 Generative AI for Businesses: Speed versus Quality In our rapidly evolving world, generative AI is transforming the way businesses operate. However, before diving into AI projects, it seems to be crucial to lay down solid foundations. This includes establishing robust data and content governance, adhering to AI regulations, addressing bias, forming AI-focused organizations, creating a clear AI roadmap with prioritized initiatives, and carefully selecting the right platforms. Yet, here's a dilemma: while laying these foundations is essential, it will take you months to get it done — time that your business probably can't afford to lose. The AI train is not waiting. More forward-thinking companies start experimenting with generative AI, achieving small but impactful wins. These quick wins, although not built on perfect foundations, provide invaluable insights into what works and what doesn’t, and help shape a more informed foundation. I advocate for a balanced approach: Build Your Foundations: Start an initiative to ensure your AI strategy includes strong governance, compliance, and ethical considerations. This will ensure long-term sustainability and trust. Embrace Quick Wins: Simultaneously, don't hesitate to experiment and pilot small AI projects. These initiatives will offer immediate benefits, build momentum, and provide real-world data to refine your larger strategy. By blending speed with quality, you not only keep pace with innovation but also ensure that on the long run your AI initiatives will be built on a solid, ethical foundation. 🔍 What’s your take on this? How are you balancing foundational work with rapid experimentation in your AI journey? #StartwithAI #Wimbee

"Almost three-quarters (70%) of Gen AI experts say the technology has improved their products and services significantly. And nearly two-thirds have experienced a pronounced innovation spark from having human workers collaborate with AI to turbocharge ideation. ... Nearly half of firms plan to reinvest any cost savings into pursuing even more ambitious innovation initiatives. And 43% intend to double down on harnessing AI to streamline operations and processes enterprise-wide. Organisations must act swiftly and decisively to embed Gen AI into their core business fabric. Those that move slowly, the report warns, risk being leapfrogged by more assertive competitors capitalising on AI to disrupt their markets with new business models, products and services." https://lnkd.in/gSQ-fxmU