Our series with Data and AI industry leaders discussing enterprise AI adoption and data modernization

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Episode 1 featuring Ankush Khona

Join us for the inaugural episode of AI Insight! In this enlightening discussion, Amaresh Tripathy, Managing Partner at AuxoAI, engages in ...

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Episode 2 featuring Andy Palan and Brian Singer

Join us for the second episode of AI Insight, where we delve into the ever-evolving realm of enterprise AI. In this episode, our host, Amaresh Tripathy, is...

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Episode 3 featuring Rod Bates

Join us for the third episode of AI Insight, where we delve into the realm of value driven analytics transformation journey. In this episode, host...

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Episode 4 featuring Himanshu Arora

Join us on the fourth episode of AI Insight as we explore the journey of AI in enterprises with one of the industry's top leaders, diving into the...

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Industry perspectives, our thinking, and insights around latest technology trends

AI impact to software engineering jobs

Anecdotes are great but what does the data say?
Let us see some interesting insights that come out of analyzing 20M job postings over 16 month...

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The Data Platforms Battle

The enterprise data stack is going through an inflection point and the battle lines are being redrawn. This time, to no surprise, the AI agenda in Enterprise going to determine the winners and losers...

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Three things to get right when scaling your data analytics operation

I wrote earlier this year about how the heightened pressure and need for quick, accurate decision-making during the pandemic had helped to boost...

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Building AI Applications: Learnings over the past year

Our team at AuxoAI has been deep in building enterprise AI applications for last twelve months. They span across various functions...

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AI Enabled vs AI Native

Celonis popularized the concept of 'happy path'. Essentially how a process (and the software) is supposed to work. In reality, the processes...

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Pitfalls and Promises: AI in Law

Arvind Narayanan is the the AI critic you may want to follow for two reasons: 1) He is not trying to be sensational by taking extra...

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