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AWS Partner Breakfast
28/11/2024
The AWS EEIP Partner Breakfast focused on how AI is transforming small businesses by enabling efficiency, personalisation, and scalable solutions.
It brought together partners to share insights, showcase innovative AI solutions, and explore opportunities to collaborate within the AWS EEIP ecosystem, all while fostering meaningful connections.
Investing in GenAI
03/04/2024
Explore our "Gen AI for FinTech" webinar, co-hosted with AWS. Over 70% of businesses see GenAI as a growth opportunity but view it as a confusing and risky gamble.
We've spoken to numerous businesses and developers, and the sentiment is clear—it feels overwhelming. This webinar offers strategies to navigate these challenges with confidence.
Transforming Businesses using AI
27/03/2024
Melio's Co-founder & CEO participated in a panel discussion as part of the Digital Think Tank Series hosted by BI Technologies Africa.
They spoke about........
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Unlocking Business Strategies with GPT Models
04/03/2024
Our COO, Greg Desilla, recently joined Joanne Brink from TechWays to discuss the transformative potential of GPT models, which are built on vast, internet-sourced datasets.
By integrating proprietary data, businesses are able to fine-tune these models for next-level customisation, providing tailored solutions that create unique strategic advantages.
What's Next with Aki
06/11/2023
Our CEO and Co-founder, Merelda Wu, engaged with Aki to explore how businesses can benefit from enterprise Machine Learning. 🤝💼
Merelda delved into how businesses can leverage the power of machine learning to gain a competitive edge, drive innovation, and supercharge their growth
AWS Summit 2023
26/09/2023
Melio's CEO & Co-Founder, Merelda Wu gave a talk on "Building Enterprise ML Platforms: Challenges & Learnings" at the AWS Summit 2023.
Here's a sneak peek of what she covered:
1️⃣ 3 Key Challenges of Building Enterprise ML Platforms
2️⃣ 3 Key Learnings from Building Enterprise ML Platforms with Our Customers
3️⃣ 6 Steps on How to Build Enterprise ML Platforms Today
PyConZa 2023
06/10/2023
Our team members represented Melio AI at PyCon 2023, and it was🔥!
💡 Ruan Pretorius, Data Scientist at Melio, will be your guide in the fascinating world of building data pipelines without actual data using Synthetic data generation and testing with Python.
📸 Verosha Pillay, our Data Scientist, and Divyan Hirasen, one of our Software Engineers, will take the stage to unveil how to do Receipt Enhancement using Image Processing.
We couldn't be prouder of the people that represented Melio💎
Delta Connect
06/07/2023
Merelda Wu, Co-Founder and CEO, was the keynote speaker for the "Delta Connect: Embracing AI: Reshaping the Landscape of Venture Building" conference.
She provided an excellent opportunity for attendees to gain insights into integrating AI into startup ventures.
Her presentation addressed crucial aspects like identifying opportunities to leverage AI, starting an AI project in your startup, and readiness for embracing AI technology.
The session was very informative, offering both knowledge and networking opportunities for those involved in venture building.
Insightful Session with TechTribe on AI Readiness
17/04/2023
Merelda Wu partnered with TechTribe for a series aimed at demystifying AI for startups and established businesses.
The series included answering practical questions, discussions on overcoming AI integration challenges, real-world case studies, and a practical AI framework session, emphasising the accessibility of no-code AI solutions.
AI Expo 2022
20/09/2022
Melio's COO, Greg Desilla, took centre stage at the AI Expo 2022 to discuss strategies for businesses to expedite the time-to-value of their AI/ML initiatives.
Additionally, we've published a blog post on this topic, which you can explore here
AI Expo 2020
03/09/2020
Melio's CEO & Co-Founder, Merelda Wu, spoke at AI Expo on Bridging the Last-Mile Deployment Problem With MLOps.
The talk addressed the challenges enterprises face in scaling AI projects from small proofs of concept to full deployment. It highlighted common deployment failures, introduced MLOps principles, and outlined practical steps for setting up successful AI deployments.