DataRobot Blog

JULY 5, 2022

At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. White Paper. Leveraging Geospatial Data and Analysis with AI.

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IBM Journey to AI blog

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. Automated machine learning (AutoML) tools make building hundreds of models almost as easy as building only one. To support trusted AI , it even offers configurable bias monitoring. White Paper.

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IBM Journey to AI blog

MARCH 21, 2024

Some 5G networks’ download speeds can reach as high as 10 gigabits per second (Gbps) making them ideal for new technologies like artificial intelligence (AI) , machine learning (ML) and Internet of Things (IoT). Today, cutting-edge technologies like AI and ML require too much data to run on older networks.

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IBM Journey to AI blog

MARCH 14, 2024

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. AI and ML) require too much data to run at speeds offered by previous generations of wireless networks.

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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. As a result, a new benchmark from Facebook AI gives researchers a centralized baseline to start their research and benchmark model performance for these tough tasks, and it’s called KILT. Aere Perrenius Welcome back.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Download the free, unabridged version here.

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Dlabs.ai

JULY 17, 2020

Sales and marketing are responsible for growing the top line — and AI offers many ways to boost revenues. First, let’s look at what AI brings to the marketing table Marketers have been raging about artificial intelligence for some time now. AI can help marketers conceptualize their campaigns. Is that any surprise? Perhaps not.

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AWS Machine Learning Blog

JULY 24, 2024

Amazon Q is a fully managed, generative artificial intelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. You also need to hire and staff a large team to build, maintain and manage such a system.

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AWS Machine Learning Blog

OCTOBER 15, 2024

In this blog post, we will harness the power of generative AI and Amazon Bedrock to help organizations simplify, accelerate, and scale migration assessments. In this blog post, we demonstrated how you can simplify, accelerate, and scale migration assessments by using generative AI and Amazon Bedrock.

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Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. Source: Image by the author.

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AWS Machine Learning Blog

APRIL 12, 2023

Each document type has a separate folder: blogs, case-studies, analyst-reports, user-guides, and white-papers. Kruthi Jayasimha Rao is a Partner Solutions Architect with a focus in AI and ML. This folder structure is contained in a folder named Data. Metadata files including the ACLs are in a folder named Meta.

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Snorkel AI

APRIL 25, 2023

Vijay Janapa Reddi, professor at Harvard University, gave a presentation entitled “DataPerf: Benchmarks for data” at Snorkel AI’s 2022 Future of Data-Centric AI conference. I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AI development. I can do comparisons against that.

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Snorkel AI

APRIL 25, 2023

Vijay Janapa Reddi, professor at Harvard University, gave a presentation entitled “DataPerf: Benchmarks for data” at Snorkel AI’s 2022 Future of Data-Centric AI conference. I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AI development. I can do comparisons against that.

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Machine Learning Algorithm ML Data Quality 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. As a result, a new benchmark from Facebook AI gives researchers a centralized baseline to start their research and benchmark model performance for these tough tasks, and it’s called KILT. Aere Perrenius Welcome back.

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DataRobot Blog

JUNE 24, 2022

Today, the use of AI in Real Estate is providing one of the most significant disruptors in the sector, catalyzing the connection between investors and firms, tenants and property managers, brokers, and buyers, regardless of location and time. Unleash the Power of AI. When AI Meets the Art of Possible.

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Marktechpost

OCTOBER 28, 2024

With over 100 models spanning multiple use cases such as chat, coding, math, function calling, and embedding models, Model Depot aims to provide to the open-source AI community an unprecedented collection of the latest SLMs that are optimized for Intel-based PCs in Intel’s OpenVINO as well as ONNX formats. faster than PyTorch and up to 7.5x

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AWS Machine Learning Blog

NOVEMBER 6, 2024

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

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