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The software-defined vehicle: The architecture behind the next evolution of the automotive industry

IBM Journey to AI blog

But what exactly defines a SDV, and what is the architectural foundation behind the car that provides connectivity, automation and personalization? The SDV separates hardware from software, allowing for updates and upgrades, automation or autonomy and constant connectivity.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Automate tedious, repetitive tasks. Code generation : Software developers and programmers use generative AI to write code. Experienced developers are leaning on generative AI to advance complex coding tasks more efficiently. Generative AI is being used to automatically update and maintain code across different platforms.

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IBM Cloud solution tutorials: 2023 in review

IBM Journey to AI blog

IBM introduced watsonx as the AI and data platform built for business. Platform engineering, internal development platformPlatform engineering is at the forefront of modern software development, driving innovation and collaboration across teams.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Additionally, for insights on constructing automated workflows and crafting machine learning pipelines, you can explore AWS Step Functions for comprehensive guidance. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation.

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Journey to AI blog

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics. He has 20 years of enterprise software development experience.

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Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. Forecast automates much of the time-series forecasting process, enabling you to focus on preparing your datasets and interpreting your predictions.