Mastering AI-driven automation in marketing: Real time insights, personalized content, better campaigns

Gain actionable insights and strategies for unlocking the full potential of generative AI in marketing

Discover how generative AI is creating real-time, adaptive, and personalized marketing content

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This FREE webinar was recorded on:
30 April, 2024
11:00 AM - 12:00 PM GST

Amidst a transformative moment, marketers grapple with the paradox: while generative AI promises significant benefits for marketing and sales, as per McKinsey research only 10-14 percent of companies consistently utilize it. This raises crucial questions about the barriers hindering widespread adoption and how marketers can effectively bridge this gap to unlock the full potential of generative AI in their initiatives.

In this webinar, learn about the real-world applications of generative AI for the marketing function. The brands you know and love are already implementing generative AI and developing more real-time, adaptive, and personalized content. They're delivering better campaigns and enhanced CX while saving time and costs and driving greater efficiencies.

Key takeaways:

  • Data-driven insights: Transform data into actionable insights with AI-driven querying and summarization.
  • Ideation and strategy: Craft brand briefs and campaign strategies while ensuring brand consistency with generative AI.
  • Execution and engagement: Scale personalized engagement and automate content production with AI efficiency.
  • Efficiency and scalability: Leverage AI automation to enhance marketing initiative efficiency and scalability.
  • Centralized governance: Implement AI for consistent brand messaging and management of engagement bots.

Who should attend?

  • Marketing executives who want to elevate social media performance with new investments in AI.
  • Social media leaders looking to hyper-personalize their social content marketing with AI.
  • Product and insights heads who wish drive growth via informed decisions.
  • Digital leaders looking to scale and evolve their social media technology.
  • Paid media buyers and analysts who want to optimize their social media investments with AI.

Speaker

Roland Boulos
AVP, Solutions Consulting, UAE
Sprinklr

Roland Boulos serves as AVP of solutions consulting at Sprinklr. He is a seasoned technology consultant with 18+ years of experience in helping organizations improve customer satisfaction, drive revenue growth, and lower costs. He specializes in automating operations and creating new revenue streams through innovative technology solutions. His industry knowledge and problem-solving skills make him a valuable asset to any business seeking to optimize operations and achieve long-term success.

Kirsten Salmanowicz
Senior Manager, Global Media Tech & Governance
3M

Kirsten is a senior leader in the digital marketing space with over 15 years of experience leading technology and governance efforts within Corporate Marketing and Communications teams at Fortune 100 Companies. At 3M, she is a Senior Manager of Media Technology and Governance where she manages the Social and Paid Media Tech Stack for the enterprise and governs all social and paid media policies and standards. She is responsible for implementing enterprise marketing technologies across business groups, defining standards, optimizing business processes, and defining new ways of working to drive growth. Kirsten's specialties include Marketing Operations. Marketing Technology (MarTech), Social Media, Project Management, Digital Marketing, Marketing Communications, Training, Change Management and Team Leadership. Kirsten received her Undergraduate Degree in Marketing and Entrepreneurship at the Carlson School of Management at the University of Minnesota. She also received her Master of Business Administration (MBA) from Cardinal Stritch University. Kirsten is professionally trained in Project Management and Agile methodologies as a Project Management Professional (PMP) and Scrum Master. She serves as Board Chair at SocialMedia.org for 3M.

Sponsor


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