Brian Sletten

API Design

9:00 AM MDT

Application Programmer Interfaces (APIs) by definition are directed at software developers. They should, therefore, strive to be useful and easy to use for developers. However, when engaging design elements from the Web, they can be useful in much larger ways than simply serializing states in JSON.

There is no right or perfect API design. There are, however, elements and choices that induce certain properties. This workshop will walk you through various approaches to help you find the developer experience and long-term strategies that work for you, your customers and your organization.

We will cover:

The Web Architecture as the basis of our APIs
The REST Architectural Style and its motivations
The Richardson Maturity Model as a way of discussing design choices and induced properties
The implications of contentnegotiation and representation choices such as JSON or JSONLD
The emergence of metadata approaches to describing and using APIs such as OpenAPI and HydraCG
Security considerations
Client technologies
API Management approaches

Vector Databases : Accelerating Learning and Discovery

8:30 AM MDT

If you are getting tired of the appearance of new types of databases… too bad. We are increasingly relying on a variety of data storage and retrieval systems for specific purposes. Data does not have a single shape and indexing strategies that work for one are not necessarily good fits for others. So after hierarchical, relational, object, graph, columnoriented, document, temporal, appendonly, and everything else, get ready for Vector Databases to assist in the systematization of machine learning systems.

This will be an overview of the benefits of vectors databases as well as an introduction to the major players.

We will focus on open source versus commercial players, hosted versus local deployments, and the attempts to add vector search capabilities to existing storage systems.

We will cover:

• A brief overview of vectors
• Why vectors are so important to machine learning and datadriven systems
• Overview of the offerings
• Adding vector search to other systems
• Sample use cases shown with one of the key open source engines

Vector Databases : Accelerating Learning and Discovery

10:30 AM MDT

If you are getting tired of the appearance of new types of databases… too bad. We are increasingly relying on a variety of data storage and retrieval systems for specific purposes. Data does not have a single shape and indexing strategies that work for one are not necessarily good fits for others. So after hierarchical, relational, object, graph, columnoriented, document, temporal, appendonly, and everything else, get ready for Vector Databases to assist in the systematization of machine learning systems.

This will be an overview of the benefits of vectors databases as well as an introduction to the major players.

We will focus on open source versus commercial players, hosted versus local deployments, and the attempts to add vector search capabilities to existing storage systems.

We will cover:

• A brief overview of vectors
• Why vectors are so important to machine learning and datadriven systems
• Overview of the offerings
• Adding vector search to other systems
• Sample use cases shown with one of the key open source engines

API Governance : Systematizing Organizational Endpoints

1:00 PM MDT

The concept of an API is straightforward enough, but the process of turning the individual endpoints into a collection of valueadding organizational resources is not something that gets a lot of attention. In this talk, we will discuss the various individual, team, and organizational choices that impact the development, planning, testing, standardization, operationalization, and evolution of consistent and compatible APIs.

We will cover API:

Technology choice
Design style
Security
Testing
Monitoring
Scaling
Design Patterns

Super Power Dojo Command Line for Developers

3:00 PM MDT

Programmers need to perform tasks outside of their development environments. Unfortunately, it seems like many are unaware of some of the super powers that command line tools will afford them with a bit of an effort to learn. This workshop/dojo will be a general survey of the classics as well as newer replacements that will make your life easier once you start to adopt them in your tool belt.

We will cover tools to help with pattern matching, finding things, processing text, working with remote systems, and much more.

Super Power Dojo Command Line for Developers

5:00 PM MDT

Programmers need to perform tasks outside of their development environments. Unfortunately, it seems like many are unaware of some of the super powers that command line tools will afford them with a bit of an effort to learn. This workshop/dojo will be a general survey of the classics as well as newer replacements that will make your life easier once you start to adopt them in your tool belt.

We will cover tools to help with pattern matching, finding things, processing text, working with remote systems, and much more.

Security of Machine Learning Systems

5:00 PM MDT

There is plenty of discussion about how machine learning will be applied to cybersecurity initiatives, but there is precious little conversation about the actual vulnerabilities of these systems themselves. Fortunately, there are a handful of research groups doing the work to assess the threats we face in systematizing datadriven systems. In this session, I will introduce to the main concerns and how you can start to think about protecting against them.

We will mostly focus on the research findings of the Berryville Institute of Machine Learning. They have conducted a survey of the literature and have identified a taxonomy of the most common kinds of attacks including:

• Adversarial examples
• Data poisoning
• Manipulation of online systems
• Transfer learning attacks
• Breaching data confidentiality
• Undermining data trust

This will be a securityfocused discussion. Only basic understanding of machine learning will be required.