Insights on today's (horizon 1) and tomorrow's (horizon 2, 3) evolution and adoption of distributed, scalable, resilient and intelligent data analytics, cloud services and infrastructure

Cloud + Edge Horizons

iam Tongi COVER “Monsters” By James Blunt

In this episode of Conversations in the Cloud Bart Schachter, COO of Iron.io and Travis Reeder, CTO and Co-founder of Iron.io, discuss making job processing faster and easier. Iron.io has been using Docker containers for a number of years with the core purpose of helping companies run workloads. Companies leverage Iron.io to deploy those workloads fast, process files/data faster, iterate quicker, and gain workload control. Iron.io is making the transition to function as a service: the transition from bigger monolithic apps to micro-service, and now breaking down micro-services into smaller chunks of code. They foresee the industry moving to a multi-cloud and hybrid environment, which is why the workloads that they manage have been intelligently routed to multiple clouds. Iron.io will leverage SNAP to understand the landscape of the data center and to better land workers on hardware that provides advantageous instruction sets. To find out more go to www.iron.io or follow Iron.io on Twitter at https://twitter.com/getiron.

Iron.io Predicts a Multi-Cloud, Hybrid Environment - CitC Episode 66

When you have “a really hot, frothy space” like AI, even the most basic questions — like what is it good for, how do you make sure your data is in shape, and so on — aren’t answered. This is just as true for the companies eager to adopt the technology and get into the space, as it is for those building companies around that space, observes Joe Spisak, Head of Partnerships at Amazon Web Services. “People treat it like magic,” adds a16z general partner Martin Casado.

This magical realism is especially true of AI, because by definition — i.e., machines learning — there is a bit of a “black box” between what you put in and what you get out of it. Which may be fine… Except when you have to completely change the data being fed into that black box, or you’re shooting for a completely different target to come out of it. That’s why, observes Scott Clark, CEO and co-founder of SigOpt, “an untuned, sophisticated system will underperform a tuned simple system” almost every time.

So what does this mean for organizations going from so-called “toy” problems in R&D to real business results tied to KPIs and ROI? In this episode of the a16z Podcast, Casado, Clark, and Spisak (in conversation with Sonal Chokshi) share their thoughts on what’s happening and what’s needed for AI in practice, given their vantage points working with both large companies and AI startups. What does it mean for data scientists and domain experts? For differentiation and advantage? Because even though we finally have widely available building blocks for AI, we need the scaffolding too… and only then can we build something powerful on top of it.

a16z Podcast: AI, from 'Toy' Problems to Practical Application

In this episode of the O’Reilly Media Podcast, I talk with JP Phillips, platform engineer at IBM Cloud. IBM is driving development in the container space, as shown through last year’s launch of Istio, an open cloud service that allows developers to connect, manage, and secure networks of different microservices. Istio, a joint collaboration between IBM, Google, and Lyft, (in conjunction with the Cloud Native Computing Foundation), is platform agnostic and runs on Kubernetes platforms, such as IBM’s Cloud Container Service. Interest in the platform is growing. IBM's Daniel Berg, who is giving a talk on Istio at the upcoming OSCON conference in Portland, recently led a hands-on workshop at KubeCon in Copenhagen to help developers learn how Istio can solve common challenges with microservices deployed within Kubernetes.

Kubernetes and Containers for Enterprise Developers

Intel® Conversations in the Cloud is a podcast with IT leaders who are driving the future of a software-defined infrastructure based data center. Featuring members of the Intel® Builders programs, Intel experts, and industry analysts, this recurring podcast series provides information on delivering, deploying, and managing cloud computing, technology, and services in the data center and enterprise.

Iron.io Predicts a Multi-Cloud, Hybrid Environment - CitC Episode 66

Intel CitC

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