Latest news with #MichaelWhetten
Scoop
06-05-2025
- Business
- Scoop
Datadog Acquires Eppo To Expand Its AI, Product Analytics, Experimentation And Feature Flag Capabilities
Press Release – Datadog With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Eppo, a feature flagging and experimentation platform, which will tightly integrate with Datadog's existing Product Analytics suite. Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements. Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes. With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes. As AI workloads grow, Eppo's experimentation capabilities help developers safely scale complex systems. These capabilities can measure the impact to the overall user experience in real time and accelerate the safe roll-out of changes, ultimately creating a more agile and trustworthy development workflow. 'The use of multiple AI models increases the complexity of deploying applications in production. This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes,' said Michael Whetten, VP of Product at Datadog. 'Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value.' 'Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry,' said Chetan Sharma, founder and CEO of Eppo. 'With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products.' Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog.
Techday NZ
06-05-2025
- Business
- Techday NZ
Datadog acquires Eppo to enhance feature flagging analytics
Datadog has acquired Eppo, a feature flagging and experimentation platform, in a move to strengthen its Product Analytics suite by offering developers a unified, end-to-end solution. The integration will allow engineering, product and business teams to collaborate more efficiently in understanding the impact of new software features. Announced on Monday, the acquisition enables Datadog to provide a more seamless experience for organisations navigating the complexities of application development—particularly those deploying AI-powered features. "Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements," Datadog stated in the release. "Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes." With Eppo now part of its platform, Datadog aims to close this gap by offering a single system where teams can manage feature flags, run experiments, and analyse product performance all in one place. "This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes," the company said. Datadog also emphasised the relevance of this integration for companies managing AI-based systems. According to the company, Eppo's experimentation tools allow teams to measure how AI model changes affect user experience and performance in real time. "The use of multiple AI models increases the complexity of deploying applications in production," said Michael Whetten, Vice President of Product at Datadog. "This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes." "Experimentation solves this correlation and measurement problem," he added, "enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value." Chetan Sharma, founder and CEO of Eppo, said the integration will make experimentation more accessible and impactful for a broader range of organisations. "Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry," Sharma said. "With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products." Following the acquisition, Eppo will continue to support existing customers and onboard new ones under the "Eppo by Datadog" branding. Datadog describes its platform as providing "unified, real-time observability and security" across the technology stack. The company's tools are designed to support development, operations, security and business teams in a range of digital transformation and cloud migration efforts. The acquisition adds to Datadog's focus on helping teams understand user behaviour and track business metrics more effectively, especially in increasingly complex cloud-native environments.
Scoop
06-05-2025
- Business
- Scoop
Datadog Acquires Eppo To Expand Its AI, Product Analytics, Experimentation And Feature Flag Capabilities
Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Eppo, a feature flagging and experimentation platform, which will tightly integrate with Datadog's existing Product Analytics suite. Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements. Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes. With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes. As AI workloads grow, Eppo's experimentation capabilities help developers safely scale complex systems. These capabilities can measure the impact to the overall user experience in real time and accelerate the safe roll-out of changes, ultimately creating a more agile and trustworthy development workflow. 'The use of multiple AI models increases the complexity of deploying applications in production. This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes,' said Michael Whetten, VP of Product at Datadog. 'Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value." 'Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry,' said Chetan Sharma, founder and CEO of Eppo. 'With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products.' Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog.
Yahoo
05-05-2025
- Business
- Yahoo
Datadog Acquires Eppo To Boost Product Analytics And Simplify AI Workflows
Datadog Inc. (NASDAQ:DDOG) announced Monday that it has acquired Eppo, a platform specializing in feature flagging and experimentation. The company will use the acquisition to enhance its Product Analytics suite and streamline the development process for its customers. Deal terms were not disclosed. The acquisition is designed to help developers, product managers, and analysts unify their tools and provide clearer insights into how new features and code changes affect business outcomes. By integrating Eppo, Datadog plans to offer a comprehensive product analytics solution, replacing the fragmented workflows many teams move enables Datadog to deliver a unified platform that allows teams to manage feature flags, run experiments, and monitor key metrics, ultimately simplifying product impact analysis as AI adoption continues to grow. Michael Whetten, Datadog's vice president of product, noted that as companies deploy more AI models, measuring their impact becomes increasingly complex. He explained that experimentation helps solve this challenge by enabling teams to compare models, assess user engagement, and evaluate cost tradeoffs, leading to more effective AI products. The combined tools aim to make development workflows faster and more reliable. Eppo will continue to support its current customer base while expanding under the Eppo by Datadog brand. The acquisition further positions Datadog to address the increasing complexity of today's software and AI landscapes. Datadog held cash and equivalents of $4.2 billion as of December 31, 2024. Equity research can be a valuable source of information for learning about a company's fundamentals. Analysts create financial models based on the fundamentals and expected future earnings of a company to arrive at a price target and recommendation for the stock. Shares of Datadog have an average 1-year price target of $146.9, representing an expected upside of 38.98%. Because of differences in assumptions, analysts can arrive at very different price targets and recommendations. No analysts have bearish recommendations on Datadog, while 17 analysts have bullish ratings. The street high price target from Macquarie is $200.0, while the street low from Morgan Stanley is $115.0. Price Action: DDOG shares closed higher by 0.67% to $105.70 on Monday. Photo via Shutterstock Up Next: Transform your trading with Benzinga Edge's one-of-a-kind market trade ideas and tools. Click now to access unique insights that can set you ahead in today's competitive market. Get the latest stock analysis from Benzinga? This article Datadog Acquires Eppo To Boost Product Analytics And Simplify AI Workflows originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved.
Techday NZ
24-04-2025
- Business
- Techday NZ
Datadog acquires Metaplane to boost AI-ready data monitoring
Datadog has acquired Metaplane, a data observability platform, to expand its offerings to data teams and provide advanced monitoring across the full data lifecycle. Metaplane delivers end-to-end data observability using machine learning-powered monitoring and column-level lineage features intended to prevent, detect and resolve data quality issues within an organisation's data infrastructure. This move comes as artificial intelligence becomes more prominent and businesses increasingly adopt cloud platforms such as Snowflake and Databricks, making the integrity and reliability of data a key consideration for companies. According to Datadog, the integration of Metaplane's capabilities will accelerate its expansion in the data observability market, enhancing its existing products, such as Data Jobs Monitoring and Data Streams Monitoring. Traditional data observability solutions, Datadog states, are primarily focused on monitoring data once it arrives within data lakes or warehouses, which can leave gaps in visibility for data teams. Datadog plans to address this challenge by ensuring coverage across the entire data lifecycle, encompassing production, transformation and consumption stages. With broader data observability, Datadog aims to support data teams as they take on greater responsibilities, including the development of artificial intelligence applications and data products, areas in which complete insight across the data stack is increasingly critical. Michael Whetten, Vice President of Product at Datadog, commented: "Observability is no longer just for developers and IT teams; it's now an essential part of data teams' day-to-day responsibilities as they manage increasingly complex and business-critical workflows. This complexity will become even more pronounced as more businesses deploy AI applications. By unifying observability across applications and data, Datadog will help organizations build reliable AI systems." Metaplane's co-founder and Chief Executive Officer, Kevin Hu, said: "Our mission at Metaplane is to help companies ensure trust in the data that powers their business. Joining forces with Datadog enables us to bring data observability to tens of thousands more companies, while bringing data teams and software teams closer together." Following the acquisition, Metaplane will continue to support its existing customers and will operate as Metaplane by Datadog, welcoming new customers as part of the expanded group. Data observability tools are designed to monitor a company's data stack, alerting teams to changes and potential failures by continuously tracking the properties and movement of data. Visibility across the full range of processes, from the origins in software systems through to transformation and consumption, provides additional assurance for data quality and reliability. By pursuing greater integration between its unified monitoring platform and Metaplane's focus on data observability, Datadog plans to enable organisations to better identify and act on data insights, supporting broader strategic initiatives around digital transformation and the development of AI-powered products.
