TL;DR:
- Adidas and Traeger Grills leverage Amazon Bedrock’s generative AI for content creation, data visualization, and complex calculations.
- Amazon Bedrock reduces infrastructure costs, enhances data security, and simplifies coding for consumer goods companies.
- Adidas employs it as an educational tool to access knowledge efficiently, while Traeger Grills utilizes QuickSight for data insights.
- Both companies can now execute tasks using natural language commands, from visuals to inventory management.
- This technology complements Traeger Grills’ previous cloud-based supply chain investment and elevates their customer experience.
- The growing adoption of generative AI in consumer goods heralds a future where 60% of B2B seller interactions will be AI-driven within five years.
Main AI News:
In the ever-evolving landscape of consumer goods, Adidas and Traeger Grills have emerged as trailblazers in the realm of generative AI. These industry leaders have harnessed the power of artificial intelligence, specifically Amazon Bedrock, to revolutionize content creation, data visualization, and complex calculations.
AWS’ Amazon Bedrock service presents a game-changing avenue for consumer goods companies, eliminating the need for substantial infrastructure investments while ensuring data security and simplifying intricate coding tasks. The focus of this technological prowess primarily lies in Amazon’s natural language processing capabilities, a feature that Adidas and Traeger Grills have eagerly embraced.
Adidas: Setting the Bar for Knowledge Accessibility
Adidas has strategically integrated Amazon Bedrock into its operations, deploying it as an educational tool for its engineers. The platform serves as a gateway to accessing information and solutions residing within Adidas’ extensive “knowledge base.” This streamlined interface empowers Adidas’ team to effortlessly navigate the wealth of data at their disposal. Daniel Eichten, VP of Enterprise Architecture at Adidas, lauds the impact of Amazon Bedrock, stating, “Amazon Bedrock quickly became a highly valued addition to our generative AI toolkit, allowing us to focus on the core aspects of our LLM projects, while letting it handle the heavy lifting of managing infrastructure.”
Traeger Grills: Speeding Ahead with Data Insights
Meanwhile, Traeger Grills has seized the QuickSight capability within the Amazon Bedrock platform, propelling its data visualization capabilities to new heights. QuickSight facilitates the efficient visualization of data, including distribution center forecasts, delivering timely insights. Corey Savory-Venzke, VP of Customer Experience at Traeger Grills, highlights the transformative nature of generative BI capabilities, noting, “Natural-language experiences like these are fundamentally changing the way people work.”
Unlocking New Avenues with Gen AI
Adidas and Traeger Grills now wield the power to create visuals, format charts, perform calculations, and execute various tasks through natural language commands. This groundbreaking technology extends its influence to search functionality, content creation (including ad campaigns), and inventory management.
For Traeger Grills, this marks another milestone in their journey, following a previous cloud-based supply chain investment that granted access to real-time data and machine-learning-powered insights. The company has also incorporated natural language processing into its customer experience strategy, enhancing automated phone systems to better serve customers.
A Glimpse into the Future
While the adoption of such technologies is on the rise in the consumer goods sector, many companies are still in the pilot or ideation phase. However, industry experts predict a seismic shift on the horizon. Gartner forecasts that within five years, a staggering 60% of B2B seller interactions will be conducted through conversational user interfaces powered by generative AI sales technologies. In this fast-evolving landscape, Adidas and Traeger Grills have positioned themselves as pioneers, leading the charge toward a data-driven future in consumer goods.
Conclusion:
The adoption of generative AI by industry leaders like Adidas and Traeger Grills signifies a transformative shift in the consumer goods market. By streamlining operations, enhancing data utilization, and embracing natural language interfaces, these companies are poised to lead the way in a data-driven future. As generative AI becomes more prevalent, businesses that fail to adapt risk falling behind in a rapidly evolving landscape.
