Maia Brenner (AI Specialist & Head of Business Development @ Tryolabs) shares the fundamentals to begin your company’s AI/ML journey! We cover the most common challenges & pitfalls eng leaders face when investing in AI, how to understand feasibility/impact & ROI of different AI/ML initiatives, how to build your AI roadmap, how to break down massive AI/ML projects into small experiments, and how to accelerate different phases of your AI/ML strategy with partners like Tryolabs.

ABOUT MAIA BRENNER

Maia Brenner is a passionate data scientist and economist with strong programming skills, a mathematical and statistical background, and work experience in consulting and the public sector. As an AI Specialist at Tryolabs she helps clients maximize the full potential of data science and machine learning to solve their business problems.

Maia's experience in the consulting industry covers several projects related to demand forecasting, price optimization, customer segmentation, and natural language processing applications, among others. As a technical consultant, she has helped design and develop AI solutions for companies from several different industries such as Retail, Finance, Pharma, Logistics, Transportation, Hospitality, Education, and more.

She is also a professor in several universities and enjoys working on initiatives of AI4SocialGood. She has helped in the application of Machine Learning to improve the Public Education sector and is involved in Gender Inequality research groups.

SHOW NOTES

• The origin story behind Tryolabs (2:33)
• Common AI/ML challenges Tryolabs helps solve (5:48)
• Most painful problems with building AI capabilities (7:50)
• What are the fundamentals to build an AI organization? (10:11)
• How do you integrate AI/ML into your core business? (12:42)
• What problems can (or can’t) be solved with AI/ML? (15:18)
• How Tryolabs helps companies to identify specific AI/ML use cases (16:59)
• Common pitfalls when investing in & integrating AI/ML into your company (18:19)
• How to start small & experiment with AI/ML solutions (20:14)
• How Tryolabs scopes & iterates their AI/ML projects (24:42)
• Metrics, KPIs & other ways to determine feasibility, impact & ROI of your AI/ML project (26:53)
• How to build an AI/ML roadmap for your organization (30:34)
• How Tryolabs accelerates building your AI organization (34:28)

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