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How to AI
piccard.ai
4 episodes
2 months ago
Interviews with AI business leaders, with a focus on what it takes to successfully implement enterprise AI.
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Business
Technology
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All content for How to AI is the property of piccard.ai and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Interviews with AI business leaders, with a focus on what it takes to successfully implement enterprise AI.
Show more...
Business
Technology
Episodes (4/4)
How to AI
Behrang Zadjabbari - Chief Data Scientist, Findex
In this episode, I interview Behrang Zadjabbari from Findex. Behrang was responsible for successfully establishing a new data science practice within his company - a journey that many large companies are currently embarking on. We cover: The importance of starting small Establishing the value of data science projects Tracking the impact Managing staff perceptions of AI
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6 years ago
23 minutes

How to AI
Stephen Cooper - Developer Advocate, IBM
In this episode, I interview Stephen Cooper (aka Developer Steve) and geek out about all things AI tech. We cover: IBM debater and its implications IoT and AI Will AI take over? AI personal assistants
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6 years ago
35 minutes

How to AI
Thom Linford - AI and Automation Leader, AGL Energy
In this episode, I interview Thom Linford about his experience helping AGL to improve customer experience through AI chatbots. We cover: How to decide if an AI project is worthwhile The key to success long term is building trust Addressing preconceived ideas about AI Getting stakeholders on board, and the importance of listening The importance of a diverse team The value of partnering with startups
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6 years ago
24 minutes

How to AI
Matt Sinclair - IoT and AI Lead, Microsoft Australia
In this first episode of How to AI, I chat with Matt Sinclair from Microsoft about successful adoption of AI in enterprise.
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6 years ago
42 minutes

How to AI
Interviews with AI business leaders, with a focus on what it takes to successfully implement enterprise AI.