Orchestrate all the Things

Arguably, two of the most iconic examples of digital transformation are Kodak and Amazon. Kodak failed to keep with the times, leading to the demise of a once dominant commercial empire. Amazon, however, had the foresight to not just “stay in its lane,” but step out and shape the world’s digital infrastructure with AWS.

Now, Lexmark, is taking note of Kodak’s failure and Amazon’s success and piloting into its own. Moving beyond printers, supplies and accessories — which is how Lexmark first made a name for itself — the company’s current motto seems to be “Print, secure and manage your information.”

In 2022, Lexmark lists Print and Capture as just two of its solutions, which also include Cloud, Security and IoT. The Lexmark Optra IoT Platform, unveiled September, is featured prominently on the company’s site.

Today, the company is unveiling Optra Edge, the latest addition to its Optra IoT solutions portfolio. Vishal Gupta, Lexmark’s senior VP of connected technology, CTO and CIO, says the company’s new tools and move into IoT are just the beginning.

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Did you ever feel you've had enough of your current line of work, and wanted to shift gears? If you have, you're definitely not alone.

Besides the Great Resignation, however, there are also less radical approaches, like the one Andrew Ng is taking.

Ng is among the most prominent figures in AI. Founder of deeplearning.ai, Co-Chairman and Co-Founder of Coursera, and Adjunct Professor at Stanford University. He was also Chief Scientist at Baidu Inc., and Founder & Lead for the Google Brain Project.

Yet, his current priority has shifted -- from bits to things, as he puts it.

Andrew Ng is also the Founder & CEO of Landing AI, a startup working on facilitating the adoption of AI in manufacturing since 2017. This effort has apparently contributed in shaping Ng's perception of what it takes to get AI to work beyond Big Tech, in what he calls the data-centric approach.

We connected with Ng to discuss the data-centric approach to AI, and how it relates to his work with Landing AI and the big picture of AI today.

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Run:AI offers a virtualization layer for AI, aiming to facilitate AI infrastructure. It's seeing good traction, and just raised a $75M Series C funding round.

Here's how the evolution of the AI landscape has shaped its growth.

Article published on ZDNet

What if what you think you know about developer productivity and the value of software is off the mark, and that is hurting the quality of your software, the operation of your organization, as well as your bottomline? 

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Cloud-native is the name of the game for application development. The creators of the Fluent Bit and Fluentd popular open-source projects for cloud-native observability are launching an offering aimed at the enterprise.

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Maintaining compatibility with the de-facto market standard, while reimplementing and extending it. It's easier said than done, but that's what Redpanda is doing, and it seems to be working.

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Is there a line connecting machine learning observability to explainability, leading to responsible AI? Aporia, an observability platform for machine learning, thinks so.

Applications are proliferating, cloud complexity is exploding, and Kubernetes is prevailing as the foundation for application deployment in the cloud. That sounds like an optimization task ripe for machine learning, and StormForge is doing just that.

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H2O is an open-source based AI powerhouse with a grand vision. The latest addition to its product line wants to bring the AI capabilities of the web giants to the rest of the world, says CEO and Founder Sri Ambati.

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ScyllaDB started out as with the aim of becoming a drop-in replacement for Cassandra. It's growing to become more than that.

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