CIO

MAY 20, 2024

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. 1 priority among its respondents as well.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Artificial Inteligence Pharmaceuticals Healthcare Generative AI 93

John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

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Artificial Inteligence Healthcare Case Study Training 40

Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data.

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Xebia

JANUARY 11, 2024

Collective decision-making supported by artificial intelligence (AI) is the key to boosting performance. Both human and artificial intelligence play important roles. For example, in the financial industry, it’s becoming very common to support primary decision processes with machine learning or rules-based AI.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

TechCrunch

MAY 2, 2022

As businesses large and small migrate en masse from monolithic to highly distributed cloud-native applications, APIs are now a critical service component for digital business processes, transactions, and data flows,” Bansal told TechCrunch in an email interview. Businesses need machine learning here. ”

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Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

Netflix Tech

NOVEMBER 24, 2023

What if we could use machine learning and computer vision to support our creative team in this process? We also utilize machine learning algorithms, consumer insights¹, and correlational analysis for discovering high-level associations between image features and an artwork’s success.

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Machine Learning Artificial Inteligence LAN Analysis 80

CIO

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. One workaround is to build a system with multiple LLMs.

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CIO

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

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The Crazy Programmer

APRIL 16, 2019

There are so many things to learn before to choose which language is good for Machine Learning. We will discuss each and everything about R as well as Python and the situation or problem in which situation we have to use which language. R vs Python for Machine Learning. Deep Learning.

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CIO

MARCH 1, 2023

By Chet Kapoor, Chairman & CEO of DataStax Every business needs an artificial intelligence strategy, and the market has been validating this for years. Now, we have another exciting piece of the puzzle: Kaskada, a machine-learning company that recently joined forces with DataStax. Chet earned his B.S.

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CIO

MAY 21, 2024

ERP vendor Epicor is introducing integrated artificial intelligence (AI) and business intelligence (BI) capabilities it calls the Grow portfolio. Epicor Grow FP&A offers embedded financial planning and analysis to enable easy, accurate, and thorough financial reporting.

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Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Speech recognition.

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Machine Learning Artificial Inteligence Analysis Energy 122

John Snow Labs

MAY 22, 2024

LLMs and Their Role in Telemedicine and Remote Care Large Language Models (LLMs) are advanced artificial intelligence systems developed to understand and generate text in a human-like manner. LLMs are crucial in telemedicine and remote care.

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CIO

MAY 30, 2024

Small and medium businesses (SMBs) are increasingly tapping into the many flavors of artificial intelligence (AI) on the market today. In fact, according to IDC research, 35% of SMBs listed AI as a top technology priority, compared with 16% a year earlier.

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Dataiku

SEPTEMBER 19, 2023

We often talk about machine learning in the context of predictive analysis and AI. Machine learning is, more or less, a way for computers to learn things without being specifically programmed. But how does that actually happen?

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Machine Learning Artificial Inteligence Analysis Programming 98

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

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Artificial Inteligence Machine Learning Artificial Intelligence Training 95

DataRobot

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

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Machine Learning Artificial Inteligence Development Team Review Software Review 98

The Crazy Programmer

SEPTEMBER 13, 2019

Machine Learning has rightly become one of the most popular technologies around and according to Artificial Intelligence (AI) researchers, every single thing ranging from our food, to our jobs, to the software we write will be affected by it. Prerequisites For Machine Learning. Data Modeling.

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O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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Machine Learning Artificial Inteligence Technical Review Analysis 187

John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

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Artificial Inteligence Healthcare Software Review Systems Review 52

Data Virtualization

FEBRUARY 22, 2024

Reading Time: 6 minutes The emergence of Large Language Models (LLMs) and Generative AI marks a significant leap in technology, promising to deliver transformational automation and innovation across diverse industries and use cases. Having said that, as everyone races to develop next generation AI.

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Artificial Inteligence Generative AI Analysis Innovation 69

Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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Artificial Inteligence Machine Learning Artificial Intelligence Training 52

CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

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DevOps.com

FEBRUARY 6, 2024

OpenText updated a static analysis code auditing tool using machine learning algorithms to provide deeper insights into on-premises IT environments.

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CIO

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Artificial Intelligence, Data Management, Digital Transformation, Generative AI

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InfoWorld

FEBRUARY 29, 2024

Pro large language model with its AI and machine learning platform, Vertex AI , to help enterprises unlock new capabilities of large language models (LLMs), including analysis of text, image and video. Google is integrating its Gemini 1.0

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Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. Introduction.

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Machine Learning Artificial Inteligence Engineering Training 137

Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

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John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding, offers Dolly, an open-source model operating locally.

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John Snow Labs

MAY 25, 2023

Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data. Sentiment analysis is an automated process capable of understanding the feelings or opinions that underlie a text.

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TechCrunch

JANUARY 3, 2024

Satellite imagery and machine learning offer a new, far more detailed look at the maritime industry, specifically the number and activities of fishing and transport ships at sea. Turns out there are way more of them than publicly available data would suggest, a fact that policymakers should heed.

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Netflix Tech

NOVEMBER 11, 2022

Many users across many platforms make for a uniquely large attack surface that includes content fraud, account fraud, and abuse of terms of service. Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. The features mainly belong to two distinct classes.

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CIO

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.

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