Alexis Crowell, IOT Marketing Global Lead, Data Platforms Group at Intel

In this podcast episode of Conversations with Dez, we had the pleasure of speaking with Alexis Crowell, the IoT Marketing Global Lead for Intel Corporation, about the role of AI at the edge and the current macro trends and industry perspectives in this space.

Role of IoT Marketing Global Lead for Intel Corporation

Alexis shared insights into her role, which involves running marketing inside of Intel for various vertical-focused areas for IoT, including retail, industrial, and health and life sciences. She emphasised the importance of customer conversations and storytelling in her role, highlighting the impact of IoT in enabling businesses to transform and innovate.

Current Macro Trends in AI at the Edge

In the latest segment of the conversation, Alexis discussed the collaborative nature of the industry and the support available for customers looking to navigate the complexities of IoT and AI at the edge. She mentioned the availability of great companies that Intel partners with to help customers through the process, emphasising the Maori phrase “fish at your feet” to illustrate the idea of making the most of available resources before venturing into the unknown.

Industry Perspectives on Adoption and Opportunities

Alexis delved into the diverse applications of AI at the edge across industries, such as touchless displays and interactive kiosks in retail, and predictive maintenance in industrial settings like automotive and oil and gas. She also emphasised the role of AI in healthcare, particularly in diagnosing medical conditions faster and more accurately through AI-enabled imaging and machine learning algorithms.

Turning Data into Actionable Insights

Alexis highlighted the importance of leveraging AI tools and software, such as OpenVINO, to process and analyse data, particularly in healthcare. She shared a compelling example of how AI and machine learning capabilities have been instrumental in detecting medical conditions like pneumothorax and accelerating the diagnosis process, ultimately improving patient care and reducing operational costs.

Recommendations for Leveraging AI at the Edge

In the final segment of the conversation, Alexis provided valuable insights for organisations looking to leverage AI at the edge in the next 12 to 18 months. She emphasised the importance of maximising existing infrastructure, particularly with the use of Xeon processors, to initiate proof of concepts and address scarcity points in businesses.

Overall, the conversation with Alexis Crowell shed light on the transformative potential of AI at the edge and the opportunities it presents for businesses across various industries.

Stay tuned for more insights and discussions on the intersection of technology and business in the evolving landscape of AI and IoT.