Post covers challenges organizations face when trying to operationalize ML and how best to move from experimentation into production. Written for business executives and IT leaders, also applicable to technical resources challenged with creating, supporting or using production-grade artificial intelligence and machine learning platforms.

Background

In my roles as a customer success and business development executive covering Artificial Intelligence & Machine Learning (AIML) at leading tech companies, I’ve spoken with executives, data scientists and IT managers across startups, Fortune 500 and Global 1000 companies about their AIML needs. After discussing what is AIML, platform features or API services easiest to use…


This post covers how Uber builds, scales and organizes around it’s AI/ML platform using Uber’s “Scaling Machine Learning at Uber with Michelangelo” article from November 2018 (link). I’ll cover the subject at a high level so if you’re one of those pHD-y types already focus on things like hybrid pointer-generator networks, spherical convolutional neural networks or Wasserstein Autoencoders then this may not be for you.

Background

Recently a consulting firm reached out to me for advice about building and scaling Artificial Intelligence (AI) and Machine Learning (ML) platforms for their customers. I have some experience in this space at the infrastructure…


This post covers how Facebook builds and scales AI/ML platforms using the March 2018 Scaled Machine Learning Conference session given by Yangqing Jia, Facebook’s Director of AI Infrastructure (link). I’ll cover the subject at a high level so if you’re one of those pHD-y types already focus on things like hybrid pointer-generator networks, spherical convolutional neural networks or Wasserstein Autoencoders then this may not be for you.

Background

Recently a consulting firm reached out to me for advice about building and scaling Artificial Intelligence (AI) and Machine Learning (ML) platforms for their customers. I have some experience in this space at…


With a plethora of complex tools for machine learning, I want to introduce a company looking to democratize artificial intelligence, making machine learning simple and ubiquitous for all.

Introduction

Artificial Intelligence…at this point you know that it is the wave of the future, going to make you very rich if you add it to your career’s skills list and eventually going to kill us all. As those first two points excite the average person, the next step is usually them trying to figure out how to learn more about the field. They typically find an online course or some introduction where…


Part 2 of my benefits of virtualizing big data workloads with VMware technologies series. Part 2 continues Part 1’s reasons to consider big data on VMware and gives a conclusion as to whether big data on VMware is right for you.

Disclaimer: VMware hasn’t paid me or asked me to publish this article and all thoughts and opinions are my own. I did give VMware early access to the writing to ensure I didn’t disclose any of their company’s intellectual property, shown to me at a special event under NDA, they don’t deem ready for public consumption at the moment.

Introduction


Part 1 of my benefits of virtualizing big data workloads with VMware technologies series. This part covers a quick intro to VMware, their upcoming initiatives and some reasons to consider running big data on vmware.

Disclaimer: VMware hasn’t paid me or asked me to publish this article and all thoughts and opinions are my own. I did give VMware early access to the writing to ensure I didn’t disclose any of their company’s intellectual property, shown to me at a special event under NDA, they don’t deem ready for public consumption at the moment.

Introduction

Last month I was invited out…


Part 1 of a 2 part series on how edge computing will have an increasingly important role in an enterprise’s cloud & digital transformation strategy. Part 1 defines what the edge is and the included technologies where Part 2 discusses the criteria that drives business to adopt an edge strategy along with some common use cases seen across industries.

Introduction

A s we reach a time of numerous successful born in the cloud companies (SalesForce, Netflix, Workday, etc) and many legacy enterprises either have migrated all or some portion of their workloads to the cloud, we also find ourselves fastly approaching…


Part 2 of how edge computing will have an increasingly important role in an enterprise’s cloud & digital transformation strategy along with the criteria that drives businesses to adopt an edge strategy and common use cases across industries.

Introduction

I n part 1 we discussed how data generation rates are moving at an increasingly exponential rate which is ushering in this new phase of edge computing. We defined edge computing as,

“a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of data generation”

and discussed common edge technologies and architectures


Digging into FPGAs and how they are being utilized in the cloud.

FPGAs have been around since the 1980s but are having a resurgence as of recent. In the past year, most of the major cloud providers like Amazon, Microsoft, Aliyun, Baidu and Huawei have announced FGPA offerings. Why all of the sudden interest in FPGAs? Let’s dig into some of the key benefits driving adoption.

Introduction to FPGAs

Have you just gained a decent understanding on how GPUs and CPUs differ on efficiency when running machine learning workloads? Or have read the IHS Markit survey where 100% of carriers said they intend to invest in and deploy SDNs and are trying to wrap your…


Digging into FPGAs and how they are being utilized in the cloud.

FPGAs have been around since the 1980s but are having a resurgence as of recent. In the past year, most of the major cloud providers like Amazon, Microsoft, Aliyun, Baidu and Huawei have announced FGPA offerings. Why all of the sudden interest in FPGAs? This is a continuation from Part 1 where we explored some of the key benefits driving adoption. In Part 2 we will explore how FPGAs are being utilized to improved deep learning workloads.

Re-Introduction to FPGAs

To lazy…I mean busy to check out part 1 of this article? No worries, we’ll do a quick recap here. Field Programmable Gate…

Jamal Robinson

Enterprise technologist with experience across cloud, artificial intelligence, machine learning, big-data and other cool technologies.

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