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This is a Sidebar conversation with Mica, co-founder of Ample Market, a platform focused on enhancing sales processes through AI integration. Mica discussed the pivotal role of AI in augmenting human efforts within sales teams, emphasizing collaboration over replacement, and shared insights on building AI products that prioritize user experience. Key Insights This is a webinar conversation with Mica—co-founder of Ample Market, specializing in AI and sales technology. Mica shared invaluable insights on building AI products for sales teams with a human-centric approach. Here are 7 key takeaways that senior executives can start implementing in their careers right away: 1. Embrace the AI-Human Collaboration Foster AI Augmentation: Emphasize the concept of AI as a collaborator rather than a replacement in sales processes. This mindset enhances team dynamics and productivity. Promote Human Judgment: AI should support reps by filtering information and providing relevant insights, enabling sellers to focus on human interactions that drive trust. 2. Consolidate Tech to Minimize Fragmentation Reduce Tool Overload: Many sales teams operate using fragmented tech stacks that hinder efficiency. Strive for consolidation to streamline workflows and improve productivity. Facilitate Contextual Understanding: Consolidation allows sales reps to have better context by integrating their tools. This minimizes time spent switching between platforms. 3. Implement ‘Invisible AI’ for Enhanced Performances Push vs Pull Dynamics: Shift from a pull model (where users actively seek information) to a push model (where AI proactively delivers insights relevant to the user’s current context). Reduce Cognitive Load: By providing timely information in the background, AI can decrease mental fatigue and allow salespeople to focus on high-value activities. 4. Personalization in Recommendations is Key Tailor AI Feedback: Train AI systems to recognize the unique patterns and preferences of individual reps to improve engagement and effectiveness in outreach efforts. Utilize Continuous Learning: AI should adapt and learn from user interactions, refining its recommendations based on continuous data inputs from sales activities. 5. Prioritize Quality over Quantity in Outreach Targeted Engagement: Shift away from the brute-force approach of mass emailing and cold calls. Instead, focus on personalized, meaningful interactions that yield better outcomes. Measure Engagement Metrics Differently: Recognize that success rates are influenced by the depth of engagement rather than sheer volume, requiring a rethink of performance metrics. 6. Invest in Continuous Training and Re-skilling Build a Learning Culture: Establish programs that not only onboard new users but continuously educate them on best practices in using AI tools effectively. Leverage User-generated Insights: Create platforms like Ample Market University that empower users to learn and adapt through shared experiences, fostering engagement and usage. 7. Capture the Human Element in Sales Processes Understand Emotional Engagement: Recognize sales as a deeply human activity. AI should complement the emotional intelligence of sales reps without overshadowing personal interactions that build trust. Collect Comprehensive Feedback: Encourage reps to share their experiences with the AI, which will help refine tools and reinforce a collaborative culture. By translating these insights into actionable strategies, senior executives can drive enhanced performance within their sales organizations while effectively leveraging AI's transformative potential.