#164 Scaling AI: Three Steps to Create Business Value

#164 Scaling AI: Three Steps to Create Business Value

Author: Felipe Flores August 4, 2021 Duration: 57:04

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.


In a field dominated by discussions of algorithms and infrastructure, Data Futurology carves out a different, crucial space. Host Felipe Flores guides conversations toward the human-centric challenges that ultimately determine whether an AI initiative succeeds or fails. This isn't a technical deep dive into model architectures; it's a series of dialogues about strategy, organizational change, and the practical leadership required to bridge the gap between potential and real-world impact. You'll hear from practitioners and executives who have navigated the complex last mile of deployment, where the real work of integrating technology into business processes and culture happens. The podcast explores how to select the right problems, build effective teams, and cultivate an ethical, forward-thinking approach to data science and machine learning. For leaders, managers, and anyone responsible for steering their organization through the adoption of these powerful tools, Data Futurology offers grounded insights and actionable perspectives. It’s about moving beyond the hype to create sustainable value, ensuring that the rapid pace of advancement in artificial intelligence is matched by thoughtful and effective human leadership. Tune in for a necessary complement to the more code-focused shows in your feed.
Author: Language: English Episodes: 100

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
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