Dynatrace Introduces Innovative AI Observability Solution to Address Generative AI Challenges

Cloud security leader Dynatrace has expanded its analytics and automation suite to deliver thorough observability and security tailored for large language models and generative AI applications. As indicated by the company, this initiative equips organizations with the tools needed to confidently adopt generative AI while addressing critical concerns related to performance, security, compliance, and cost efficiency. large language models In light of the complexities surrounding generative AI services, this solution provides valuable insights into AI-driven applications, aiding organizations in optimizing their AI investments and ensuring adherence to regulations.

With the growing interest in  AI adoption \"Generative AI represents the next wave of digital transformation,\" stated Bernd Greifeneder, CTO at Dynatrace. \"This technology empowers organizations to develop groundbreaking solutions that enhance productivity, profitability, and competitiveness. However, it also introduces new challenges in security, transparency, reliability, user experience, and cost management.\"

"For organizations to tackle these challenges effectively, they require an observability solution that encompasses all dimensions of their generative AI implementations. Dynatrace is stepping up its observability and AI leadership to satisfy this demand, offering customers the means to engage with AI securely and confidently while gaining unparalleled insights into their generative AI applications,\" he added.

Dynatrace's AI Observability spans the entire AI ecosystem, covering everything from infrastructure and foundational models to semantic caches, vector databases, and orchestration frameworks. It is compatible with leading platforms such as Microsoft Azure OpenAI Service and Amazon SageMaker.

Utilizing the power of its Davis AI and other fundamental technologies, the platform delivers precise insights into AI-enabled applications, allowing organizations to pinpoint performance issues, adhere to privacy and security standards, and manage costs effectively by monitoring token usage. Google  AI Platform.

Dynatrace Offers Cost-Efficient Generative AI Solutions

According to Gartner, AI adoption is expected to soar by 2028, with more than half of cloud computing resources dedicated to AI workloads. This trend underscores organizations' growing enthusiasm for generative AI as a means to boost efficiency, productivity, automation, and innovation.

"Generative and predictive AI will unlock new avenues for our business through ML and LLM services. However, to achieve successful implementation, we need to ensure that our services supporting these vital workloads are both reliable and optimized for performance,\" commented Ryan Berry, SVP of engineering and architecture at OneStream.

"That’s why we depend on Dynatrace, an industry leader in AI and observability. Our teams leverage Dynatrace to develop and refine generative AI applications that perform optimally and are manageable in terms of costs at scale,\" Berry continued.

Despite the growing interest in generative AI, organizations have expressed concerns about the costs associated with these services, which can be higher and more challenging to predict. Additionally, governments are starting to implement regulations aimed at ensuring responsible and ethical use of AI.

To safeguard their investments in generative AI and mitigate risks of unpredictable behavior, AI 'hallucinations,' and poor user experiences, organizations must adopt robust AI observability solutions.

Starting from the announcement date, Dynatrace AI Observability will be accessible to all Dynatrace clientele.

Dynatrace Unveils Groundbreaking AI Observability Tool