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CIOs take aim at Silicon Valley talent

CIO

Rau hired a former Apple colleague who approached him and was incentivized by the offer to run the software engineering team at the Indianapolis-based Lilly after hearing about the types of projects he could work on. “I P&G is applying AI at scale and automating the machine learning deployment process, he says.

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Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines.

Trends 52
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Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

The most prominent industries for AI adoption in organizations include high-tech and telecommunications, financial services, and healthcare and pharmaceuticals. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines.

Trends 52
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YC W22 batch nets 24 African startups, including 18 from Nigeria

TechCrunch

Promises include : The startup claims its “open source cloud-native” webhook services is “secured, reliable, and scalable for customers’ webhooks infrastructure. Quick thoughts : Convoy is one of the very few — if not the only– devs- and engineer-focused platforms from Africa to get into Y Combinator.

.Net 228
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Digital Therapeutics: How Software Can Treat Diseases

Altexsoft

Many digital therapeutics make use of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies to deal with patient data. Incorporate patient privacy and security protections. Developing DTx software may involve in-house and in-licensing scenarios. In-house development.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. The architecture for this part of the solution is highlighted in the following diagram.

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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering. This is an especially pressing problem in traditionally male-dominated fields like software engineering. percent less compensation than men for the same job title.