Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. As a logical reaction to this problem, a new trend — MLOps — has emerged. What is MLOps and how does it drive business success?

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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. AWS launches SageMaker Data Wrangler, a new data preparation service for machine learning.

Artificial Inteligence 354

Artificial Inteligence Machine Learning Recruiting AWS 354

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. billion in revenue. billion in revenue.

Analytics 362

Analytics KPI IoT Azure 362

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists.

Infrastructure 98

Infrastructure Technical Review Machine Learning Artificial Inteligence 98

AWS Machine Learning - AI

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes.

Artificial Inteligence 96

Artificial Inteligence Serverless Engineering Generative AI 96

AWS Machine Learning - AI

FEBRUARY 26, 2024

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies.

Artificial Inteligence 107

Artificial Inteligence AWS Lambda Metrics 107

TechCrunch

FEBRUARY 23, 2022

The service that “helps creators reach audiences through live and virtual shows” is on the hunt for a Series A, our own Manish Singh reports. The service that “helps creators reach audiences through live and virtual shows” is on the hunt for a Series A, our own Manish Singh reports. Vendr’s SaaS buying service scaled rapidly last year.

Fintech 230

Fintech Technical Review Games Machine Learning 230

OTS Solutions

MAY 2, 2023

Let us understand what Digital Transformation services mean to your business. It enables businesses to store, access, and process data remotely via the Internet. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes. What does it do?

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Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. Data use is no longer a “wild west” in which anything goes; there are legal and reputational consequences for using data improperly. A Wave of Cloud-Native, Distributed Data Frameworks.

Data 120

Data Machine Learning Artificial Inteligence Cloud 120

Dataiku

OCTOBER 7, 2022

Majime is a data scientist intern, a data facilitator and mentor for bootcamps at Tera, and a dedicated writer who is always looking for new challenges. He writes about MLOps, data science, and machine learning. This is a guest article by Dairenkon Majime.

Machine Learning 52

Machine Learning Artificial Inteligence Training Research 52

Cloud That

NOVEMBER 16, 2022

What is Amazon SageMaker Data Wrangler? Amazon SageMaker Data Wrangler Core Functionalities. Data Transformation using SageMaker Data Wrangler. So, to handle the preprocessing steps, Amazon SageMaker has a working functionality to preprocess the data which is known as SageMaker Data Wrangler. Introduction.

Data 68

Data Case Study Storage Cloud 68

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. Cloud-based AI services make this possible. Major cloud service providers have paved a way for AI in the cloud. Let’s race through these vendors and see what they’re up to.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Model Visibility. Model Explainability.

Machine Learning 81

Machine Learning Artificial Inteligence Weak Development Team Construction 81

AWS Machine Learning - AI

APRIL 8, 2024

When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. Pre-training data is sourced from publicly available data and concludes as of September 2022, and fine-tuning data concludes July 2023.

Artificial Inteligence 96

Artificial Inteligence Applications Knowledge Base AWS 96

DataRobot

MARCH 16, 2023

Over the past several months I’ve been collaborating with Dom Divakaruni, the Head of Product for Azure OpenAI Service. I couldn’t be more excited to share what we’ve been working on with DataRobot and Microsoft Azure OpenAI service. Today we are unveiling a new cutting-edge integration with Microsoft Azure OpenAI Service.

Azure 98

Azure Artificial Inteligence Innovation Technical Review 98

Palo Alto Networks

APRIL 4, 2024

Smarter Security {{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more.

Technical Advisors 75

Technical Advisors Artificial Inteligence Metrics Artificial Intelligence 75

DataRobot

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Cloud 72

Cloud Data Machine Learning Artificial Inteligence 72

DataRobot

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. DataRobot was recognized by Constellation Research on the MLOps Shortlist.

Artificial Inteligence 105

Artificial Inteligence Innovation Industry Technical Advisors 105

Xebia

FEBRUARY 25, 2024

What is this thing called MLOps ? In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. The first part will be about the what and why of MLOps and the second part about technical aspects of MLOps.

Applications 130

Applications Technical Review Software Review Azure 130

DataRobot

JUNE 9, 2021

.” One of the leading common issues we see in the machine learning life cycle (feature engineering, training, scoring, etc.) With Snowpark, data preparation tasks in Zepl can be pushed down into Snowflake for in-database feature engineering. Using Snowpark in Zepl for Feature Engineering.

Scalability 52

Scalability Engineering Machine Learning Artificial Inteligence 52

O'Reilly Media - Ideas

NOVEMBER 1, 2022

Hugo Bowne-Anderson interviews Shreya Shankar about her ethnographic study of MLOps Practices. Facebook’s No Language Left Behind project has released an open source model (along with code and training data) that can translate between any of 200 languages. Maintaining a separate category for AI is getting difficult.

Trends 101

Trends Artificial Inteligence Open Source Research 101

AWS Machine Learning - AI

JANUARY 9, 2024

Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput.

Artificial Inteligence 101

Artificial Inteligence Generative AI AWS Technical Advisors 101

John Snow Labs

MAY 15, 2023

The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models. Security and Resiliency: Models should show robustness to data and context that is different than what they where trained on, or different than what is normally expected.

Software Review 52

Software Review Systems Review Testing Metrics 52

CIO

FEBRUARY 28, 2024

Even in its infancy, gen AI has become an accepted course of action and application, and the most common use cases include automation of IT processes, security and threat detection, supply chain intelligence, and automating customer service and network processes, according to a report released by IBM in January. They need stability.

Artificial Inteligence 329

Artificial Inteligence Technical Review Generative AI Fractional CTO 329

Openxcell

AUGUST 7, 2023

Now, the banking and finance segments are witnessing a greater impact by integrating AI systems to improve the operation of bank apps and services. Moreover, it caters to customers’ needs and instills a sense of reliability and convenience in the bank services. What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Banking Machine Learning 52

DataRobot

MARCH 10, 2022

As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses. These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

MAY 27, 2020

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. Reasonably, with the access to data, anyone with a computer can train a machine learning model today.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

TechCrunch

JUNE 1, 2022

MLOps platform Iterative , which announced a $20 million Series A round almost exactly a year ago, today launched MLEM, an open-source git-based machine learning model management and deployment tool. Iterative raises $20M for its MLOps platform. Using MLEM, developers can store and track their ML models throughout their lifecycle.

Open Source 240

Open Source Tools Artificial Inteligence Machine Learning 240

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Survey 145

Survey Data Technical Review Training 145

TechCrunch

NOVEMBER 4, 2022

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Here’s where MLOps is accelerating enterprise AI adoption. Self-service analytics.

Data 218

Data Storage Analytics Data Engineering 218

AWS Machine Learning - AI

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. ML models might require data that’s currently unavailable in production. Retraining. Seldon Core for model execution).

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

O'Reilly Media - Ideas

JANUARY 25, 2024

The data used in this report covers January through November in 2022 and 2023. Our data shows that most topics in software architecture and design are down year-over-year. That change is important because event-driven architecture is a tool for designing large systems that have to ingest data from many different streams in real time.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

TechCrunch

APRIL 25, 2022

In thinking about features, it can be helpful to visualize a table, where the data used by AI systems is organized into rows of examples (data from which the system learns to make predictions) and columns of attributes (data describing those examples). They serve as the interface between data and [AI] models.”

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

TechCrunch

NOVEMBER 22, 2021

Neu.ro , an early stage full-stack MLOps solution is building a greener approach. The company says that atNorth is providing a Tier 3, ISO 27001-certified data center, running NVIDIA A100-powered DGX and HGX systems. The data center offers 80MW of power capacity, which runs entirely on geothermal and hydro energy.

Artificial Inteligence 249

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AWS Machine Learning - AI

NOVEMBER 22, 2023

First, we’ll have a few foundational sessions related to various aspects of Amazon Bedrock —a fully managed generative AI service we launched earlier this year. This year, learn about LLMOps, not just MLOps! The technical sessions in our track are divided into five areas. Bring your laptop and be ready to learn!

Generative AI 106

Generative AI Artificial Inteligence AWS Machine Learning 106