62: Kieran Flanagan: The state of AI in 2024 in Tech
Jun 16, 2024
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Kieran Flanagan, SVP Marketing at Hubspot discusses the practical use of AI in tech, emphasizing the importance of human collaboration with AI. Topics include AI in strategy, user interfaces, customer service, and the challenges of leveraging AI in marketing. Key takeaways: AI requires human input for optimal results, can improve interactions but may lead to isolation, and marketers need a deep understanding of their business before implementing AI.
Successful strategy with AI requires effective communication and human input.
AI can combat loneliness but may lead to increased isolation and detachment.
Deep business understanding is critical for marketers and leaders to leverage AI effectively.
Deep dives
AI's Ability in Strategy Building
AI's capability to assist in strategy building is highlighted, emphasizing that the effectiveness depends on how well individuals can communicate with AI to provide instructions. The reflection of AI output is directly related to the user's knowledge and communication skills. Proper interaction with AI is crucial for successful strategy development.
Future of AI in Social Networks and Companionship
Discussions point towards the potential evolution of AI-driven social networks where users can create personalized networks comprising AI and human avatars. The concept of AI companionship is gaining traction, aiming to address human needs for social interactions and companionship, particularly in combating loneliness. The blend of AI avatars and human avatars in virtual communities is foreseen, offering a novel approach to social connections.
Impact of AI on User Interactions and Brand Building
AI's influence on user interactions is evident in scenarios like chatbot-assisted flight rebooking, demonstrating improved customer service experiences over human interactions. The convenience and efficiency of AI interactions are highlighted, especially in scenarios where human resources fall short. The potential for AI to streamline brand selection processes based on user preferences and interactions is seen as a pivotal aspect of future marketing strategies.
Reviving Unengaged Database Segments Through AI
AI agents can target dormant segments in databases by sending emails and prospecting to revive engagement. For unresponsive segments, email may not be effective, leading to the need for other channels like social media interaction. Voice capabilities in AI agents are evolving, allowing for more dynamic and personalized outreach, with startups exploring advancements in voice recognition for improved interactions.
Enhancing Sales Team Productivity with AI-Centric CRMs
AI integration in CRMs aims to enhance sales team productivity by providing real-time data insights. AI agents can help reps by ingesting and analyzing data seamlessly from various sources to streamline workflows. Customized records, automated slack channels, and personalized sales insights contribute to improved sales efficiency, although sales professionals may resist standardization to maintain individual competitive advantages.
In the second conversation with Kieran Flanagan, SVP Marketing at Hubspot we talk about how we see AI really being used in tech and not just being a flashy thing you use once. From Sales, to Marketing to Product. Where are we today and where is all of this going?
The conversation explores the role of AI in strategy, the potential for AI-driven social networks, the impact of AI on user interfaces and customer service, the importance of data in AI tools, and the need for iterative refinement when using AI.
Takeaways
AI can assist in strategy, but it requires human knowledge and the ability to ask for specific output.
AI can improve user interfaces and customer service, but there is a risk of increased isolation and loneliness.
Marketers and business leaders need to have a deep understanding of their own business before leveraging AI.
Challenges and limitations of AI include the need for large datasets and the resistance to adopting new software in sales.
Sound Bites
"It’s not that AI cannot do strategy. You can't do strategy. You don't actually know how to talk to the AI and give it instructions in a way that would actually be helpful towards building a strategy."
"AI can do a better job than nothing for people who are missing companionship, for people who feel like they are isolated, for people who just crave someone to be there at all times and talk to."
"You give AI context, you teach it what good looks like before you use it productively."
Chapters
03:04 The Potential for AI-Driven Social Networks
05:59 AI and the Evolution of User Interfaces and Customer Service
08:52 The Importance of Data in AI Tools
14:17 The Limitations of AI in Understanding Context and Reasoning
31:12 Optimizing Workflows and Efficiency with AI
34:28 Enhancing Lead Generation and Conversion with AI
38:41 Improving the Customer Onboarding Experience with AI
44:26 Challenges and Limitations of AI in Sales
50:38 Using AI to Solve Real Problems and Create Value