CIO

SEPTEMBER 29, 2022

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. Here are some edited excerpts of that conversation.

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Machine Learning Artificial Inteligence Travel Technical Review 313

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 Generative AI Healthcare 91

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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Artificial Inteligence Generative AI Machine Learning Analytics 232

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

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Artificial Inteligence Machine Learning Education Analytics 98

InnovationM

APRIL 25, 2024

Deploying a Large Language Model (LLM) on RunPod Leveraging the prowess of RunPod for deploying Large Language Models (LLMs) unveils a realm of possibilities in distributed environments. Model Selection: Choose the specific LLM model you want to deploy. How to approach it?

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Artificial Inteligence Serverless Scalability Resources 52

CIO

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Match models to specific applications.

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Artificial Inteligence Generative AI ChatGPT Machine Learning 214

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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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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Artificial Inteligence Enterprise Generative AI Data 90

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

Cloudera

MARCH 26, 2024

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Cloudera Machine Learning Public or Private Cloud.

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Artificial Inteligence Artificial Intelligence Machine Learning Architecture 79

CableLabs

JUNE 18, 2019

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types. ML/AI-as-a-service offering for end users.

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Artificial Inteligence Artificial Intelligence Machine Learning Wireless 102

CIO

MARCH 13, 2023

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. Going forward, we’ll see an expansion of artificial intelligence in creating.

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Artificial Inteligence Technical Review Artificial Intelligence ChatGPT 358

Netflix Tech

MARCH 4, 2024

Evolving to Auto Remediation: Service Architecture Methodology To address the above-mentioned challenges, our basic methodology is to integrate the rule-based classifier with an ML service to generate recommendations, and use a configuration service to apply the recommendations automatically: Generating recommendations.

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Machine Learning Artificial Inteligence Data Systems Review 84

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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Artificial Inteligence Generative AI Security Applications 116

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Machine Learning Artificial Inteligence Software Engineering Engineering 130

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

Machine Learning 119

Machine Learning Artificial Inteligence Microservices Training 119

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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Machine Learning Artificial Inteligence Company Case Study 154

CIO

APRIL 12, 2024

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. Hey GURA includes a history of past questions and answers it has tackled, and it can learn to provide customized answers for customer queries in different parts of the country, Mills says.

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Artificial Inteligence Retail Artificial Intelligence Knowledge Base 233

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. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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Machine Learning Artificial Inteligence Analysis Energy 122

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Data

OCTOBER 17, 2019

People from across the AI world came together in London for the Artificial Intelligence Conference. Watch “ The quest for high-quality data “ Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond. Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.

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Artificial Inteligence Artificial Intelligence Conference Machine Learning 144

AWS Machine Learning - AI

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

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Artificial Inteligence Applications Knowledge Base AWS 94

DevOps.com

JUNE 28, 2021

API security Modern applications are mobile first and are built around cloud-native distributed microservices architectures. These architectures have become the basic building blocks for complex and reliable distributed web and mobile applications.

Machine Learning 73

Machine Learning Artificial Inteligence Microservices Architecture 73

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

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Machine Learning Artificial Inteligence How To Case Study 120

Newgen Software

NOVEMBER 20, 2023

Artificial intelligence (AI) has made its presence felt across all domains. The latest to jump onto the artificial intelligence (AI) bandwagon is Generative AI (GenAI). For many, GenAI served as their gateway to understanding the expansive and transformative world of artificial intelligence (AI).

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Artificial Inteligence Artificial Intelligence Generative AI Insurance 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CIO

DECEMBER 13, 2023

Generative AI and Foundational Models – Building on applied AI and industrializing machine learning, generative AI has emerged as a powerful force across industries. – It takes assistive technology to new heights, reducing application development time and empowering non-technical users – Generative AI is expected to contribute up to $4.4

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Generative AI Machine Learning Artificial Inteligence Trends 262

CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Architecture Enterprise Agile Artificial Inteligence 302

O'Reilly Media - Data

AUGUST 30, 2018

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. Jonas and his collaborators are working on a related project, NumPyWren, a system for linear algebra built on a serverless architecture. Jonas is also affiliated with UC Berkeley’s RISE Lab.

Machine Learning 104

Machine Learning Artificial Inteligence Tools Serverless 104

AWS Machine Learning - AI

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. By design, there is no mechanism for any Amazon employee to access a Nitro EC2 instance that customers use to run their workloads, or to access data that customers send to a machine learning (ML) accelerator or GPU.

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Generative AI AWS Artificial Inteligence Artificial Intelligence 111

CIO

SEPTEMBER 21, 2023

This is where large language models get me really excited. AI vendor management Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. In August, Meta continued releasing models. Artificial Intelligence, Machine Learning

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Artificial Inteligence Enterprise Trends ChatGPT 314

AWS Machine Learning - AI

APRIL 3, 2024

The key advantage is the ability to understand interactions and semantics between modalities like text, images, and audio through joint modeling. Solution overview The solution provides an implementation for building a large language model (LLM) powered search engine prototype to retrieve and recommend products based on text or image queries.

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Artificial Inteligence Serverless Engineering Generative AI 94

CIO

DECEMBER 28, 2023

CIOs who already established a cloud-enabled, adaptable, and resilient architecture in 2023 could spend less time leading IT operations and more in value creation, according to Martha Heller, CEO of Heller Search, an executive search firm based in the US. New technology enabled new solutions 2023 was also a year of new solutions.

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Artificial Inteligence ChatGPT Generative AI Machine Learning 302

Seerene

JANUARY 4, 2019

Jürgen Döllner When we evolve the matter of intelligence, we also expand the possibility of reaching beyond our human limits. As might be expected, researchers and software engineering pioneers have begun to harvest the potential of Artificial Intelligence to fundamentally change how software development will work in the future.

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Artificial Inteligence Artificial Intelligence Machine Learning Software Engineering 40

Cloudera

AUGUST 31, 2018

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

Machine Learning 67

Machine Learning Artificial Inteligence Analytics Engineering Culture 67

O'Reilly Media - Data

JULY 18, 2018

Much of the focus of recent press coverage has been on algorithms and models, specifically the expanding utility of deep learning. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Economic value of data. Closing thoughts.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137