#164 Scaling AI: Three Steps to Create Business Value

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Organisations work hard on creating and building data science capabilities and models that will provide a real positive impact for their users. However, the feedback we’ve had from the Data Futurology audience shows there is a struggle to get ROI from their AI. So what do you do when your models and AI efforts are not living up to their promises? This conversation explores how to ensure that your AI projects don’t fall flat, but actually deliver business value.

In this episode, we hear from Scott Hubbard, Director of HPE Ezmeral Software Business Group, South Pacific and Ridhav Mahajan, Solutions Engineering Leader, HPE Ezmeral Asia Pacific. They have recently been part of setting up a start-up within HPE, that focuses on cutting-edge stacks in the AI, ML and data space. Though this startup is fairly new, the technology behind their platform, Ezmeral, has been in production for over 10 years now!

One of the current challenges organisations face is accessing all of their data. Whether it’s stored in silos in the cloud or on-premises. As data grows exponentially, being able to scale a platform almost infinitely to keep up with that demand is a vital aspect. To address this, they have worked on what they call Data Fabric, a layer under a data platform with the ability to unify data sets across an organisation and bring data silos together so you can have a single data source.

Tune in to hear Scott and Ridhav expand on the adoption of AI in an organisation and share their industry experience with us.

If you want to learn more about leveraging your data with AI, join the HPE Ezmeral Asia Pacific Launch to hear our host, Felipe Flores, share his insights on Getting Value From AI At Scale. Save your spot here!

Enjoy the show!

Read the full episode summary here.

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