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| Title & Speakers | Event |
|---|---|
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[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
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[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
2025-06-05 · 16:00
Please join us to learn about the Trust and Safety Evaluations Initiative (TSEI), which is focused on evaluating AI models and applications. Evaluations cover not only safety concerns, like avoiding hate speech, but the emerging challenge of evaluating that the system as a whole is “aligned” with the requirements for the domain and use cases supported. We call this the “last mile” of evaluation, a challenge that most development teams don’t know how to address. You will learn about our efforts to meet all these needs and how you can get involved! About the presenter Dean Wampler, IBM |
[AI Alliance] Trust and Safety Evaluations Initiative (TSEI)
|
|
Dean Wampler
– author
Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In the updated edition of this report, Dean Wampler examines the rise of streaming systems for handling time-sensitive problems—such as detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them. Batch processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage. You’ll learn that, while fast data architectures using tools such as Kafka, Akka, Spark, and Flink are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. Learn how a basic fast data architecture works, step-by-step Examine how Kafka’s data backplane combines the best abstractions of log-oriented and message queue systems for integrating components Evaluate four streaming engines, including Kafka Streams, Akka Streams, Spark, and Flink Learn which streaming engines work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example IoT streaming application that includes telemetry ingestion and anomaly detection |
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Dean Wampler
– author
Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In this report, author Dean Wampler examines the rise of streaming systems for handling time-sensitive problems—such as detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them. Batch-mode processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage. You’ll learn that, while fast data architectures are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. Learn step-by-step how a basic fast data architecture works Understand why event logs are the core abstraction for streaming architectures, while message queues are the core integration tool Use methods for analyzing infinite data sets, where you don’t have all the data and never will Take a tour of open source streaming engines, and discover which ones work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example streaming application for the IoT: telemetry ingestion and anomaly detection for home automation systems |
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