Unleashing real-time insights: Monitoring SAP BTP cloud-native applications with IBM Instana

Introducing the SAP Business Technology Platform The SAP Business Technology Platform (BTP) is a technological innovation platform designed for SAP applications to combine data and analytics, AI, application development, automation and integration into a single, cohesive ecosystem. BTP is SAP’s integration and application development platform for SAP clients, who want to extend their S/4 system. …

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Learn how Amazon Pharmacy created their LLM-based chat-bot using Amazon SageMaker

Amazon Pharmacy is a full-service pharmacy on Amazon.com that offers transparent pricing, clinical and customer support, and free delivery right to your door. Customer care agents play a crucial role in quickly and accurately retrieving information related to pharmacy information, including prescription clarifications and transfer status, order and dispensing details, and patient profile information, in …

Vertex AI adds Mistral AI model for powerful and flexible AI solutions

One of Europe’s leading providers of artificial intelligence (AI) solutions, Mistral AI, is on a mission to design highly performant and efficient open-source (OSS) foundation models. Mistral AI is teaming up with Google Cloud to natively integrate their cutting-edge AI model within Vertex AI. This integration can accelerate AI adoption by making it easy for …

How to use foundation models and trusted governance to manage AI workflow risk

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Using AI for certain business tasks or without guardrails in place may also not align with an …

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Improving traffic evacuations: A case study

Posted by Damien Pierce, Software Engineer, and John Anderson, Senior Research Director, Google Research Some cities or communities develop an evacuation plan to be used in case of an emergency. There are a number of reasons why city officials might enact their plan, a primary one being a natural disaster, such as a tornado, flood, …

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How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints

Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They provide advanced technology that combines AI-powered automation with human feedback, deep insights, and expertise. Veriff delivers a proven infrastructure that enables their customers to have trust in the identities and personal …

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Rapidly build an application in Gradio power by a Generative AI Agent

In our new age of low-code and no-code application development, AI has become the tool of choice for rapidly extending, powering and modernizing applications. With our ever-shifting technology landscape bringing new potential and opportunity to connect and engage with customers, or optimize and infuse insights and experiences, leading organizations are racing to build new applications …

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Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Posted by Han Zhou, Student Researcher, and Subhrajit Roy, Senior Research Scientist, Google Research Prompting large language models (LLMs) has become an efficient learning paradigm for adapting LLMs to a new task by conditioning on human-designed instructions. The remarkable in-context learning (ICL) ability of LLMs also leads to efficient few-shot learners that can generalize from …

Shift from proactive to predictive monitoring: Predicting the future through observability

In today’s fast-paced digital landscape, the seamless operation and performance of software applications is crucial for businesses. Downtime, glitches and service interruptions can result in significant revenue loss and damage a company’s reputation. This is where modern, advanced monitoring solutions like IBM Instana come into play. With its cutting-edge capabilities, Instana goes beyond traditional monitoring …

Screenshot25202023 10 132520at252010.57.442520AM

Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Posted by Han Zhou, Student Researcher, and Subhrajit Roy, Senior Research Scientist, Google Research Prompting large language models (LLMs) has become an efficient learning paradigm for adapting LLMs to a new task by conditioning on human-designed instructions. The remarkable in-context learning (ICL) ability of LLMs also leads to efficient few-shot learners that can generalize from …