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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. This article was published as a part of the Data Science Blogathon. Times change, technology improves and our lives get better.

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Amazon AWS’s barrage of Gen AI announcements aim to outdo Microsoft

Flipboard

Cloud computing giant Amazon Web Services (AWS), has until recently has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging field of generative AI. But over the past two days at its AWS Re:Invent conference, Amazon has taken off the gloves against its …

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Boost your MLOps efficiency with these 6 must-have tools and platforms

Data Science Dojo

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. AWS SageMaker also has a CLI for model creation and management.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning Blog

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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Creating an artificial intelligence 101

Dataconomy

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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Cloud Data Science News Beta #1

Data Science 101

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas.

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning Blog

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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