Jon Reed

Jon Reed

Jon Reed has been involved in enterprise communities since 1995. These days, Jon is a roving blogger/analyst, and also counsels vendors and startups on go-to-market strategy. Jon was named best writer by the ERP Focus 2014 and 2016 writer awards. He is a diginomica co-founder, Enterprise Irregular, and purveyor of multi-media content. Jon is an advocate for media over marketing; he sees diginomica as a chance to disrupt tech media, with the BS-weary enterprise reader in mind.
Jon Reed
Jon Reed

Archive: Jon Reed

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How Colony American Finance uses data and cloud BI to punch above their weight

Who isn't a "data-driven" business these days? At Domapalooza 2017, I met a Domo customer that's walking the walk. Colony American Finance CIO Matthew March shared how lean IT helps them excel. It's also a cloud BI story, moving from spreadsheet chaos to business actions. March has numbers to back it up - including a 100 percent company-wide adoption rate.

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Enterprise hits and misses - the potential and limits of AI, and the cloud ambitions of Google

In this edition: grasping AI's limits/possibilities through field lessons and use cases. Also: Google's push to become an enterprise cloud player gets a close look at Google Cloud Next. International Women's Day raises questions on women in tech progress. Your whiffs include bad PR promotions, an ill-fated BBC home interview, and the most jargon-infected blog post title of the year so far.

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Retail review - omni-channel may be science fiction, but a single source of truth matters

In my NRF 2017 review, I buried the omni-channel. But that wasn't entirely fair. In this follow up, I share retail transformation views from two companies, Infor and CitiXsys. Their advice brings together practical next steps retailers can take. For the bold, there is a chance to get closer to the customer via in-store culture change - and retail data platforms.

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Digital media disruptions XVI - personalization, talent, and the platform dilemma

In this edition of digital media disruptions: why publishers are painfully hooked on third party platforms, and what we can learn from their dilemma. Plus: personalization pitfalls and the problem of algorithmic content. We also examine what enterprises can learn from HBO's approach to talent, culture and business model change.

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Can Google Perspective, Facebook AI and Twitter algos improve web civility?

Civil discourse isn't easy to find online. Recent steps by Facebook, Google and Twitter shed light on how "AI" and machine learning could help fight online abuse and harassment. Or, in Facebook's case, provide aid to those who may be at risk. But as expected, these approaches all have their limitations.