Maven AGI’s Post

5 Friendly Tips for Smooth AI Adoption in Your Business Embarking on your AI journey? Here are some down-to-earth tips to help you get started: - Align AI with business goals: Make sure your AI initiatives support your overall business objectives. - Build a diverse AI team: Combine technical experts with domain specialists for a well-rounded approach. - Focus on data quality: Remember, AI is only as good as the data it's trained on! - Start small, think big: Begin with focused pilot projects, but plan for scalability from the start. - Cultivate an AI-friendly culture: Encourage curiosity, continuous learning, and openness to change. Remember, adopting AI is not just about technology—it's about people and processes too. Stay patient and keep learning! #AIAdoption #BusinessInnovation #LeadershipTips #DigitalTransformation

This week in The AI Report, we dive into how AI is revolutionizing task management and customer support. Discover how businesses are using AI to enhance productivity and streamline operations. Highlights: 1️⃣ Case Study: Binah.ai transforms customer support with DevRev's AI platform 2️⃣ Simplifying workflows with Lindy's AI automation 3️⃣ Boosting efficiency with Motion's AI-powered project management 4️⃣ Enhancing decision-making with DevRev and Hal9 Stay ahead in the AI world! Subscribe to The AI Report for cutting-edge insights in AI-driven business solutions. #AI #TaskManagement #AIAutomation #AIinBusiness #CustomerSupport #AIProductivity #TechInnovation

McKinsey’s published a "case study" about the rollout of their internal GenAI tool, Lilli, that enables their consultants to understand unfamiliar topics, clean and analyze data, and create drafts. They're reporting strong adoption (72% of the workforce) and impact (30% time savings). I thought what was most interesting, though, were their lessons learned: Prompts Are Key: Success with GenAI hinges on effective prompt engineering, combining technical and domain expertise to refine them. Curate Data Carefully: Clean, relevant data is essential for quality AI outputs, while ensuring privacy and compliance. Orchestration Layer is Crucial: Use an orchestration layer to optimize AI performance, matching tasks to the right models for cost and efficiency. Test Relentlessly: Prioritize testing and feedback loops over development to catch issues early and improve continuously. It’s More Than Tech: User adoption and change management are critical—embed training and intuitive design to drive widespread engagement. #CaseStudy #AI

🚀 Leveraging AI for SMBs: A Step-by-Step Guide 🤖 Hello Executives! 👋 Let’s discuss how you can use AI to boost your small or medium-sized business. Here’s a straightforward guide to get you started. A Real Example I’ve seen many SMBs struggle with repetitive tasks. After implementing AI, they saved time and became more efficient. Here’s how you can do it too. Steps to Use AI for SMBs 1. Identify Common Tasks - Look at tasks that take a lot of time but don’t need human judgment. - Examples: data entry, answering common customer questions, managing inventory. 2. Set Clear Goals - Define what you want AI to achieve. - Examples: reduce time spent on routine tasks, improve customer service, or make better decisions with data. 3. Gather Your Data - AI needs data to function well. - Start collecting data from sales, customer feedback, and inventory levels. 4. Choose the Right Tools - Pick AI tools that fit your business needs. - Examples: chatbots for customer service, AI-driven analytics for better insights. 5. Integrate AI with Your Systems - Ensure your AI tools work well with existing systems. - This can include your CRM, sales platform, or inventory management system. 6. Automate Routine Tasks - Use AI to automate repetitive tasks. - This can free up your team to focus on more valuable activities. 7. Monitor and Adjust - Keep an eye on how AI tools perform. - Make adjustments based on data and feedback to improve results. Recent Trends Forbes reports that SMBs using AI see a 40% increase in productivity and a 30% reduction in costs. This shows the real impact AI can have on your business. Conclusion AI can transform your SMB. Start by identifying common tasks, setting clear goals, gathering data, choosing the right tools, integrating them with your systems, and automating routine tasks. Regularly monitor and adjust to keep improving. Ready to use AI to boost your business? Let's make it happen! 🌟 #AI #SmallBusiness #BusinessGrowth #Efficiency #TechTrends 🚀

We wrapped up our leadership offsite at HumanFirst yesterday and I'm buzzing. Here are some thoughts from the week: 1. Product Owners building AI into products need tooling to engineer data and prompts as much, or more, than their colleagues focused on deploying AI for operational efficiency internally. 2. Enterprise AI adoption highly resembles the Data Analytics and BI movement of the 90s & 2000s. Everyone wants it. Org structure matters. Tooling is an unlock. 3. Horizontal AI tooling will unlock value across the enterprise by giving centralized teams the ability to drive big projects while everyday AI users will tackle incremental gains. Bonus: The contact centre remains the AI entry point for most organizations. How are CX AI pioneers thinking about taking their learnings across the organization? #ai #genai #productowner #contactcentre #futureofwork #humanfirst

Two years ago, I had no AI automation experience. Today, I’ve helped businesses streamline operations and boost productivity with AI solutions. Here’s how I mastered AI automation in just two years: - Started with small, simple automations to understand the basics - Took online courses and stayed updated on the latest AI tools - Implemented AI in real-world projects to see what worked - Adjusted my approach based on results and learned from mistakes Learn → Do → Learn → Do. Get ahead of 99% of people just by being consistent. Are you curious how AI can transform your business? Let’s connect, and I’ll share how you can start your AI journey.

GenAI is certainly booming right now 💥 , but when it comes to the actual adoption and understanding of the tech usage in daily work – there seems to be less consensus. 😲 A recent Workforce Lab survey from Slack found that the majority of executives (81%) feel ‘some urgency’ to utilize generative AI at their organizations. However, almost half of their staff had no guidance on how to use AI tools at work. 🤷♀️ Our own 2023 digital maturity survey data confirms this: Approximately 60% of the responding IT leaders said they are confident in the positive impact of AI on their organization. So far so good. 👌 And yet... about one-third felt they still don't grasp how to deploy it in daily business. 😐 Do you also experience this gap between seeing the clear benefits of AI, but struggling to adopt it in a practical, understandable way? Then you shouldn’t miss this conversation between our AI experts Douglas Cardoso and Max Gerrard in their latest on-demand webinar: 💻 From Chaos to Clarity: Exploring the Power of AI to Elevate Your Document Management    They take a very practical, hands-on approach to helping you understand: 💡 Which AI-powered enterprise content management capabilities will help you accelerate your team’s daily work and extract insights for better decision-making 💹 How other leading firms have utilized AI to automate processes, empowering them to achieve substantial time savings and ROI 🙌 How harnessing the latest AI in your document-centric processes is actually incredibly easy and intuitive (as Max shows in his demos!) 🤖 Which ways an intelligent content assistant can vastly simplify how you interact with and benefit from your documents Watch the webinar now – link is in the comments! #AI #ArtificialIntelligence #Webinar #GenAI #GenerativeAI #Doxis #SERGroup

🔍 **Exploring the Three Common GenAI Deployment Strategies** 🔍 Generative AI (GenAI) is changing the game, but how do companies actually deploy it? Here are three popular strategies, each with its own perks: 1.Software Package Embeddings:   What It Is: Adding pre-built GenAI features to your existing software.   When to Use It: Perfect if you want to quickly boost your software’s capabilities.   Why It’s Great: Fast to implement with minimal customization needed. 2. Modified Pretrained Models:   What It Is: Tweaking pretrained models to better fit your specific needs.   When to Use It: Good for when you need something more tailored but don’t want to start from scratch.   Why It’s Great: Combines the power of pretrained models with some customization. 3.Custom Models:   What It Is: Building GenAI models from the ground up.   When to Use It: Best for unique requirements that off-the-shelf models can’t handle.   Why It’s Great: Total control over how the model works and handles data. Each approach offers a different balance of customization, speed, and control. While software package embeddings get you up and running quickly, custom models give you the flexibility to meet unique needs. Understanding these options is key for making the right choice for your business. So, how is your organization using GenAI? Are you embedding, modifying, or building from scratch? Let’s chat about your experiences in the comments! #Uturndatasolutions#GenerativeAI #AIDeployment #TechStrategy #AI #MachineLearning #BusinessInnovation #TechLeadership #EnterpriseAI

Unlock Organizational Success: Discover How Asana AI Enhances Decision-Making and Maximizes Impact ▸ https://lttr.ai/AT4le #projectmanagement #AutomatingTasks #EnhancingDecisionMaking #DriveProductivity #HelpingHumanityThrive #TransformativeImpact #InvolvesClearCommunication #IterativeApproachEnsures #RecommendOptimalTimelines #SuggestingTaskPriorities

The hardest part of initiating any ideas, concepts or strategies is knowing where to start, and in the realms of technology, automation and AI, it can be daunting as there's so just so much potential in these areas. If you find yourself overwhelmed by the myriad possibilities, then I highly recommend the book by Kavita Ganesan that I think really helps with that - The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications. From how to "Frame Your AI Thinking" to the last section that talks about how to "Bring your AI Vision to Life", it's a really useful and logical step by step guide on where to start, how to prepare and how to measure success. To quote the author, ✴️"Start Now, Start Small."✴️ And if you want advice, help or support, then please get in touch with us here at Devoteam as we can use our expertise to help you get the most out of AI for your business - from identifying business challenges, data readiness assessments, building and testing solutions and managing the changes in to your business. #ai #technology #usingai #devoteam