SaaStr Annual 2024: 6 Ways to Transform Businesses with AI with Google Cloud
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30 slides
Sep 27, 2024
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About This Presentation
In this session, Duncan Lennox, VP/GM of Applied AI at Google Cloud, presents six actionable strategies for using AI to drive business transformation. Participants will learn practical applications of AI that can enhance efficiency, innovation, and decision-making across various industries. Come lea...
In this session, Duncan Lennox, VP/GM of Applied AI at Google Cloud, presents six actionable strategies for using AI to drive business transformation. Participants will learn practical applications of AI that can enhance efficiency, innovation, and decision-making across various industries. Come learn from one of the leading AI brands is how AI can be seamlessly integrated into existing business processes to create significant value and competitive advantage.
Size: 33.49 MB
Language: en
Added: Sep 27, 2024
Slides: 30 pages
Slide Content
Duncan Lennox VP/GM Applied AI Google Cloud 6 Ways to Transform Businesses with AI
of orgs are already using Gen AI for business in production 61% Google’s new ROI of Gen AI survey reveals significant ROI across global enterprises Source: Google Cloud ROI of Gen AI eBook, July 2024 of orgs running gen AI in production reported annual revenue boost of 6%+ 86% of orgs running gen AI in production report ROI within the first year 74%
AI is transforming 6 business areas 1 2 3 4 5 6 Customer experience and personalization Employee productivity and experience Marketing and creative content Data analysis and decision making Product development Security, risk management and compliance
What Why Companies use AI to serve customers 24/7 via chat, voice or video interfaces, providing seamless, personalized, and efficient interactions. Increased Customer loyalty and retention Higher Sales and revenue Better Customer satisfaction
AI is helping Provide personalized product recommendations Answer FAQs and resolve common customer issues Provide real-time chat support across channels Analyze customer sentiment and feedback Automate routine customer service tasks Language translation in real time
What Why AI-powered assistants designed to enhance productivity, streamline workflows, and improve collaboration. Knowledge sharing and collaboration Employer productivity Reduced errors and operational costs
AI is helping Automate repetitive tasks (data entry, scheduling, reporting) Provide on-demand access to company policies and procedures Summarize documents and meeting notes Analyze financial data and provide insights Offer assistance with regulatory compliance Create personalized training materials
What Why AI revolutionizes content creation and marketing by automating tasks, personalizing campaigns, and generating diverse creative assets across multiple modalities. Personalization for better engagement Efficiency of content creation Faster time to market for new products and services
AI is helping Generating marketing content (images, video, copy, audio, music) Personalizing content for specific audiences Automating tasks like image editing and video production Creating personalized customer experiences Designing product packaging and marketing materials Generating unique product concepts and ideas
Accelerate data analysis and decision making 2 3 1 4 5 6 4
What Why AI-powered tools designed to extract valuable insights from complex data, enabling data-driven decision-making and optimization across various domains. Enhanced business intelligence Improved insights Reduced time and costs associated with data analysis
AI is helping Clean, organize, and analyze complex data sets Identify patterns, predict customer behavior, segment customers Predictive modeling: forecast sales, customer churn, equipment failures, market trends Identify data anomalies and potential risks Optimize pricing and inventory management Develop personalized recommendations for customers Generate personalized data visualizations
Assist product development 3 1 4 6 5 2 5
What Why AI coding assistants that help developers write, debug, and optimize code faster and more efficiently. Improved code quality Increased developer productivity Faster time to market
AI is helping Generate code, or complete code as you write Convert natural language to code Generate technical documentation Convert code between different languages Identify and fixing bugs in code Create automated tests for code Explain complex code sections
What Why AI helps security teams detect, investigate, and respond to threats faster and more effectively. Improved threat detection Faster incident response Stay ahead of evolving threats
AI is helping Identify and address regulatory compliance issues Proactively detect and prevent fraudulent transactions Investigation assistance with security event summarization and next-step guidance Protect infrastructure from cyber attacks with continuous network monitoring Safeguard client data and identify suspicious activity Protect customer data and network infrastructure from cyber attacks Create personalized training materials
Key Takeaways 1 2 3 AI is transforming business areas from customer experience to security, risk and compliance Companies are achieving real world ROI from their investments Explore AI solutions for your priority use cases
Thank you!
Scaling CS: From 0-5,000 Customers Ashley Hyman VP, Customer Experience Drata Wen Yao VP, Customer Success Management Drata