What challenges and opportunities come with implementing AI in product marketing? How can we gain better insights into company productivity? Daniel Glickman, Sr. Director, Product Marketing at ActivTrak, joins us to discuss the power of AI in helping companies research faster and the potential impact it can have on changing the way products are used and marketed.
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Timestamps:
[00:01:25] Daily AI news
[00:03:55] About Daniel Glickman and ActivTrak
[00:07:45] Using AI to track employee activity
[00:11:30] How will AI change employee efficiency?
[00:15:50] How Daniel and ActivTrak use AI
[00:20:30] Using AI and ActiveTrack for small teams
[00:24:45] Data collection for product marketing
[00:27:35] Daniel's advice on AI in product marketing
Topics Covered in This Episode:
1. The interest in generative AI and analyzing data
2. AI in product usage and marketing
3. Bottom-up approach in product marketing and the use of bots
4. Implementing AI in the workplace and its impact on employee effectiveness
Keywords:
generative AI, analyzing data, sales reps, productivity, implementing generative AI, research faster, examining data, AI, products, marketing, understanding products, podcast, everyday people, growing companies, advancing careers, livestream, AI jobs, LinkedIn data, Anthropic, AI startup, investment, valuation, product marketing, bottom-up approach, competitors' features, automate tasks, future advancements, connect dots, research obstacle, traditional product marketing, market challenges, product developers, sales team, transformation team, small business approach, mid-market approach, reorganizing sales and marketing, sales-led, account-based marketing, new product feature, employee productivity, employee engagement, AI technology, identifying connections, high-performing individuals, following a specific process, coaching, workplace, generative AI, Copilot, redundancies, inefficiencies, Google Ads, entrepreneurs, well-established companies, knowledge based teams, managing teams effectively, remote work, in-office presence, usage data, cohorts, qualitative data, market demand, market research, public data, review sites, company websites, YouTube, bot, competition, research team, trade-offs, company culture, team type, units of outcome, contact centers, service centers, output measurement.
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