LaunchDarkly announced an early access preview of
enhanced experimentation capabilities using generative artificial intelligence
(AI), powered by Amazon Bedrock from Amazon Web Services (AWS). Amazon Bedrock
is a fully managed service that makes foundation models (FMs) from leading AI
companies accessible via an API to build and scale generative AI applications.
Many
engineering teams struggle to quickly test, gather accurate results, and
iterate within the products they build. Unreliable experimentation practices
are riddled with complex processes, and long testing cycles that keep product
development disconnected from measuring value. Combining the capabilities of LaunchDarkly's Product Experimentation platform with
generative AI provides a customer-focused, scalable solution for answering
these challenges.
Using Amazon Bedrock, LaunchDarkly is able to reduce setup
complexity and enhance product experimentation by rapidly generating new
experiment variations, speeding up test and iteration cycles-securely and
responsibly. This new capability will accelerate the ability for teams to
efficiently explore wider ranges of new ideas, leveraging training from
historical experiment data to enable smarter decision-making. For engineering
teams and product leaders, the outcome is better experimentation results, in
less time.
LaunchDarkly
is one of the first organizations to access and leverage the AWS Generative AI Innovation Center, and is using the
specialized guidance from the program to help inform LaunchDarkly's latest
advancement with generative AI. Empowered to, and empowering customers to, take
responsible experimentation to the next level, LaunchDarkly is enabling teams
to harness the power of AI to elevate their experimentation game and take their
products to new heights.
"Until now it
has not been possible to precisely test at such an efficient speed to make sure
that every software feature is the exact fit for its audience, but now
developers can achieve this by using the power of generative AI as
experimentation rocket fuel alongside LaunchDarkly," said Dan Rogers, CEO,
LaunchDarkly. "Now, instead of manually testing a small, limited number of
options, software teams can instantly expand their testing surface
automatically through new variations, to get the absolute best possible outcome
for their end users."
Customers that
use LaunchDarkly Product Experimentation can leverage the power
of Amazon Bedrock to:
- Generate more ideas without adding complexity: Establish a wider range of testable variants and new
solutions, improving product development.
- Accelerate the time between ideation and maximizing
business value: Expanded
experiment variations allow engineering and product teams to find the
optimal product configurations, for every audience, faster.
- Evolve data-driven decision-making: Fuel future testing using historical data from
experiments, and continuously optimize, adapt, and fine-tune your
products.
"The
ability to adapt, optimize, and measure the impact of our software releases,
and ultimately deliver software that our customers love, are two of the biggest
reasons why ZenBusiness chose LaunchDarkly's experimentation offering,"
said Harrison Reid, Senior Director of Engineering at ZenBusiness.
"LaunchDarkly's relationship with AWS around generative AI-powered
experimentation significantly amplifies our testing capabilities and
accelerates our ability to discover and ship the most valuable features, faster."
For more information about LaunchDarkly and its
product experimentation with generative AI, please visit:
https://launchdarkly.com/core-services/experimentation/.