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The 5th CTO Colloquium: San Diego 3/27/19

By | Colloquium, Meeting, San Diego

In partnership with Sapiens Data Science and Kanani Breckenridge of Kismet Search, on 3/27/2019, in San Diego, CA, 7CTOs presented:

Fabio Traversa
Steve Griset
Kuan-Fu Ding

addressed the CTO Colloquium with presentations on: 

Computation in the 21st Century

Integrating Clinical Metadata and Genomics to Help Individuals Measure, Protect, and Improve Their Health at the Speed of Science

Machine Learning in Computer Vision

On Computation in the 21st Century: Since the EDVAC realized by Von Neumann in 1947, computing architectures have evolved tremendously opening new horizons to both technology and economic advancement. The well established use of transistors and the shrinking of their channel size following Moore’s law for decades, has reached its limit and now we are entering in the “More than Moore” age.

The applications of computing vary from consumers to large corporations, from gaming to data centers and the need for computational resources represents an exponentially growing market. In this picture available architectures, such as CPUs, GPUs, ARM, etc. are sufficient for much of the computing needs of mobile phones and tablets as well as PCs and cloud computing. However, modern computing systems are already falling short when it comes to a growing number of computing needs.
This is only going to get worse unless new computing concepts are developed that represent a radical advancement in computing performance.  Large corporations, academia and start ups, are proposing alternatives such as Quantum Computing, Neuromorphic Computing and MemComputing.  These new technologies promise to solve some of the most challenging problems we face today, such as autonomous vehicles, personalized medicine, financial services and Artificial Intelligence.

On Machine Learning in Computer Vision: Overview of machine learning as it is applied to computer vision. Talk will cover different machine learning model architectures and the trade offs between performance and accuracy. Followed by demonstrations of those architectures as they are applied to object classification and detection in computer vision. Lastly a brief discussion of hardware acceleration and demonstration

On Integrating Clinical Metadata and Genomics to Help Individuals Measure, Protect, and Improve Their Health at the Speed of Science: You will learn how to identify disparate data sources and methods for integration, new opportunities and challenges for model development and validation, and proof of concept: using genomics to improve health assessment.

What is the CTO Colloquium?

The CTO Colloquium is a series of meetings held in various cities, at which specialists address Chief Technology Officers in presentations on relevant topics.  Afterwards, they answer questions pertaining to these topics as well as take part in discussions with  smaller groups of attendees.

Who is it for?

The meetings are exclusive to the head of all technology in a company, typically the CTO.  We prefer to keep the meetings small in order to maximize engagement with the presenters and therefor we keep it invite-only.

Please contact us if you’re interested in attending future Colloquiums.

Check out the recap video:

Sponsored by

Presenters

Fabio Traversa

Co-Founder & CTO, MemComputing

Steven Griset

Co-Founder & CTO, alwaysAI

Kuan-Fu Ding

CSO, Sapiens Data Science

The 4th CTO Colloquium: Carlsbad 2/13/19

By | Carlsbad, Colloquium, Meeting

On 2/13/2019, in Carlsbad, CA:

Bryan Hall
Ryan Rusnak
Igor Mameshin

addressed the CTO Colloquium with presentations on:

“Gathering, Analyzing and Learning from Data, the No Buzzwords Edition”
“Bridging the Gap Between Data Science and Software Engineering”
“Machine Learning on Kubernetes”

On Gathering, Analyzing and Learning from Data, the No Buzzwords Edition: Bryan will share the pitfalls and lessons learned from building a data, analytics and machine learning stack from the ground up twice in the last five years. This talk will focus on the pieces that were vital to success and how to understand and explain them to get buy in from your entire team.

On Bridging the Gap Between Data Science and Software Engineering: So your company is growing and now you have tons of data. Data is powerful and there must be key business insights in that data so you hired a data scientist. The data scientist found lots of good data and trained a neural network to spit out beautiful insights that your customers would be happy to pay for. Great! However, the data scientist doesn’t know how to code in your stack your software engineers don’t know how to serve up a Tensorflow model. What do you do? Most companies never make it across this chasm. Come learn how to cross the chasm and start using your machine learning models in production.

On Machine Learning on Kubernetes: Understanding all steps in the ML workflow will help CTOs to make better hiring and technology decisions. In this session, you will learn how to build, train and deploy machine learning models efficiently and at scale on Kubernetes. We will start with an overview of machine learning workflow: prepare data, code your model, train and evaluate the model, deploy the model, get predictions, and monitor the ongoing predictions. We will go into details on what is under the hood to understand more of the magic that is happening. At the end of the demo, you will learn how to deploy a trained model on Kubernetes, and send prediction requests to your model from a web application.

Using Jupyter notebook, we will show how to:

  • Interactively define a KubeFlow Pipeline using the Python SDK
  • Train model – this example pipeline trains a Tensorflow model on Github issue data, learning to predict issue titles from issue descriptions
  • Deploy model – launch a web app which interacts with the TF-Serving instance in order to get model predictions.

The tutorial is based on Kubeflow – open source machine learning stack that runs on Kubernetes. This demo is deployed on AWS, but it can run on any Kubernetes cluster on GCP, Azure, or on-prem.

There is a hands-on session to follow this talk. To participate in the hands-on session, you need to have a laptop with a web browser (Chrome or Safari), text editor of your choice, and Git client.

What is the CTO Colloquium?

The CTO Colloquium is a series of meetings held in various cities, at which specialists address Chief Technology Officers in presentations on relevant topics.  Afterwards, they answer questions pertaining to these topics as well as take part in discussions with  smaller groups of attendees.

Who is it for?

The meetings are exclusive to the head of all technology in a company, typically the CTO.  We prefer to keep the meetings small in order to maximize engagement with the presenters and therefor we keep it invite-only.

Please contact us if you’re interested in attending future Colloquiums.

Check out the recap video:

Sponsored by

Presenters

Igor Mameshin

CTO, Agile Stacks

Ryan Rusnak

CTO, Airspace Technologies

Bryan Hall

Principal Architect, Seismic

Videos