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antino

Digital Transformation in Aviation Industry: What's your take?

May 7, 2024 By Vinay Krishna Gupta In Antino
Airports are now heavily inclined towards integrating self-baggage drop facilities to ensure a hassle-free experience and eliminate long-standing queues. Plus, some airports are also introducing smart baggage trolleys to help passengers locate wherever they want to go at just their fingertips. Well, these are just a few of the innovations in the Aviation industry because the list is never-ending. Nevertheless, did you know that the airports using this new technology have seen some amazing results?
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snowflake

Snowflake Cortex LLM Functions Moves to General Availability with New LLMs, Improved Retrieval and Enhanced AI Safety

May 7, 2024 By Arun Agarwal In Snowflake
Snowflake Cortex is a fully-managed service that enables access to industry-leading large language models (LLMs) is now generally available. You can use these LLMs in select regions directly via LLM Functions on Cortex so you can bring generative AI securely to your governed data. Your team can focus on building AI applications, while we handle model optimization and GPU infrastructure to deliver cost-effective performance.
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bugfender

Write Better Code Using Swift Enums: A Detailed Guide

May 7, 2024 By Flávio Silvério In Bugfender
In Swift, an enum (short for enumeration) is a powerful feature that allows us to define a data type with a fixed set of related values so we can work with those values in a type-safe way within our code. In this article we’ll be taking a closer look at Swift enums and their applications in Swift, as well as providing some real-world examples of how we could deploy them in our builds.
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snowflake

How Healthcare and Life Sciences Organizations Are Accelerating Data, Apps and AI Strategy in the Data Cloud

May 7, 2024 By Snowflake In Snowflake
Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024.
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smartbear

Observability Meets AI: Unlocking New Frontiers in Data Collection, Analysis, and Predictions

May 7, 2024 By Eran Grabiner In SmartBear
As software systems become increasingly complex, observability — the ability to understand a system's internal state based on its external outputs — has become a critical practice for developers and operations teams. Traditional observability approaches struggle to keep up with the scale and complexity of modern applications. As the amount of telemetry data grows, it becomes expensive and complex to navigate. Enter AI and its promise to revolutionize observability.
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Koyeb

The engineering behind autoscaling with HashiCorp's Nomad on a global serverless platform

May 6, 2024 By Julien Castets In Koyeb
There are several ways to handle load spikes on a service. However, these methods are not cost-effective: you either pay for resources you don't use, or you risk not having enough resources to handle the load. Fortunately, there is a third way: horizontal autoscaling. Horizontal autoscaling is the process of dynamically adjusting the number of instances of a service based on the current load. This way, you only pay for the resources you use, and you can handle load spikes without any manual intervention.
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InsightSoftware

Data Accessibility: A Hurdle Before SAP's AI Integration

May 6, 2024 By InsightSoftware In InsightSoftware
Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.
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InsightSoftware

Data Prep for AI: Get Your Oracle House in Order

May 6, 2024 By InsightSoftware In InsightSoftware
Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.
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Impact of AI on #SoftwareTesting: Are Testers Ready? | #QonfX 2024

May 6, 2024 By The Test Tribe In The Test Tribe
Join industry experts Rahul Verma, Navin Nair, Nagabhushan Ramappa, and our amazing host Balaji Ponnada in an insightful panel discussion on "AI's Impact on Testing, Tester Roles, and Tester Readiness." In this session, the panelists discuss how artificial intelligence (AI) has revolutionized software testing, sharing the complexities and opportunities of AI-driven testing environments. Through real-world examples and interactive discussion, they explore the changing role of testers in the AI era and provide valuable insights into the future of software testing.
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