TechCrunch

APRIL 7, 2021

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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AWS Machine Learning - AI

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance.

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CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

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Machine Learning Artificial Inteligence Data Architecture 273

TechCrunch

FEBRUARY 24, 2021

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.

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InfoWorld

JANUARY 31, 2024

The article, Machine learning for Java developers: Algorithms for machine learning , introduced setting up a machine learning algorithm and developing a prediction function in Java. You'll get a quick introduction to Weka, a machine learning framework for Java.

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CIO

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London).

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CIO

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

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CIO

SEPTEMBER 26, 2023

If IWB hoped to fulfill its mission of helping to usher in a fully renewable future, an intelligent solution had to be developed to accurately predict solar power production. Merging the data IWB Industrielle Werke Basel (IWB) emerged from the private gas industry in 1852, becoming an electric company in 1899. Artificial Intelligence

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CIO

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? On the role of the Chief Data Officer: Due to the nature of our business, Travelers has always used data analytics to assess and price risk.

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Machine Learning Artificial Inteligence Travel Technical Review 326

The Crazy Programmer

DECEMBER 25, 2021

Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. Will Human Intelligence face an existential crisis? Impacts of Artificial Intelligence on Future Jobs and Economy.

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TechCrunch

MAY 10, 2022

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. The market for synthetic data is bigger than you think. “We He says the beauty of the solution is that it provides everything you need to get started.

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TechCrunch

DECEMBER 7, 2020

Tecton.ai , the startup founded by three former Uber engineers who wanted to bring the machine learning feature store idea to the masses, announced a $35 million Series B today, just seven months after announcing their $20 million Series A. “We help organizations put machine learning into production.

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TechCrunch

APRIL 7, 2021

As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. Data scientists can download the open-source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work.

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Machine Learning Artificial Inteligence Open Source Recruiting 338

Cloudera

NOVEMBER 1, 2023

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

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TechCrunch

NOVEMBER 16, 2021

Machine learning is exploding, and so are the number of models out there for developers to choose from. While Google can help, it’s not really designed as a model search engine. working on machine learning projects, where they saw the kinds of research challenges they are attempting to fix with CatalyzeX.

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Palo Alto Networks

APRIL 2, 2024

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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Harvard Business Review

JANUARY 23, 2024

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

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TechCrunch

SEPTEMBER 2, 2021

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. “Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. .

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AWS Machine Learning - AI

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried.

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TechCrunch

DECEMBER 9, 2020

At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. AWS announces SageMaker Clarify to help reduce bias in machine learning models.

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DevOps.com

APRIL 21, 2023

With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.

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TechCrunch

MAY 10, 2022

The situation for machine learning (ML) isn’t entirely dissimilar; unless ML is core to your software — and it probably isn’t — why would you waste time on assembling an entire infrastructure. To solve that precise issue, Slai is building a developer-first platform for machine learning.

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Dzone - DevOps

JANUARY 5, 2024

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. However, deploying and managing ML models in production environments can be a daunting task.

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InfoQ Culture Methods

MARCH 7, 2024

When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation.

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DevOps.com

OCTOBER 5, 2020

Data has proven to be a competitive differentiator for decades and the adoption of machine learning can now deliver even greater insights from data. Adopting machine learning requires a technology environment with processes and platforms that can deliver innovation at scale.

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InfoWorld

MARCH 19, 2024

Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning , moving away from the traditional centralized training methods towards more decentralized ones. Data is scattered, and we need to leverage it as training data where it exists.

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TechBeacon

MARCH 2, 2023

Machine learning (ML) recently experienced a revival of public interest with the launch of ChatGPT. Most large businesses, ranging from e-commerce platforms to artificial intelligence (AI) research organizations, already use ML as part of their value proposition.

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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. Duplicated records are identified and rectified.

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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. These are notable investments of time, data, and money.

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