Data Science Dojo

OCTOBER 10, 2023

The event will cover a variety of topics related to generative AI and data storytelling, including: What is generative AI and how does it work? It is a great opportunity to learn from an expert in the field and to network with other professionals who are interested in these topics. How can generative AI be used for data storytelling?

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ODSC - Open Data Science

MAY 1, 2023

As such, data scientists need to find a different approach for using MLOps to find structure and create a sense of order as LLMs are developed. Here are a few ways that MLOps can be used to bring some organizational structure to large language models, what you can do, and why you should consider integrating MLOps when developing LLMs.

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ODSC - Open Data Science

NOVEMBER 6, 2023

LLMOps — The Next Frontier of MLOps Recently Sahar Dolev-Blitental, VP of Marketing at Iguazio, joined us for a lightning interview on LLMOps, and the next frontier of MLOps. The rapid pace of [generative AI] and the fact that everyone is talking about it, makes MLOps and LLMOps much more important than ever.” What Are LLMOps?

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ODSC - Open Data Science

SEPTEMBER 5, 2023

This condensed schedule allows you to explore different subjects and topics to find your passion before deciding to leave your job for a longer program. Content At mini-bootcamps like ODSC West’s , you’ll be exposed to an unprecedented breadth and depth of topics.

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Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps. References [1] E. Alpaydin, Introduction to Machine Learning, 3rd ed.,

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Iguazio

DECEMBER 14, 2023

As MLOps veterans, Yaron and Noah were all too familiar with the following scenario: data science development in enterprises started small, in the lab, where teams worked in isolation with limited datasets. With practical code examples and specific tool recommendations, the book empowers readers to implement the concepts effectively.

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IBM Data Science in Practice

MARCH 8, 2023

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? 

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IBM Journey to AI blog

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. What is MLOps? MLOps fosters greater collaboration between data scientists, software engineers and IT staff. How MLOps will be used within the organization.

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Iguazio

APRIL 24, 2024

In the end, we explain how MLOps can help accelerate the process and bring these models to production. They can generate coherent and contextually relevant responses over a wide range of topics, making them ideal for applications like chatbots, content creation and language translation.

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ODSC - Open Data Science

JANUARY 26, 2024

Our 2nd annual Data Engineering Summit will be two full days of talks and panels on a wide range of data engineering topics, from cloud data services to monitoring and management. Virtual attendees can choose between hands-on training sessions, expert-led workshops, and breakout talk sessions on our virtual platform.

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Mlearning.ai

AUGUST 28, 2023

I highly recommend anyone coming from a Machine Learning or Deep Learning modeling background who wants to learn about deploying models (MLOps) on a cloud platform to take this exam or an equivalent; the exam also includes topics on SQL data ingestion with Azure and Databricks, which is also a very important skill to have in Data Science.

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Flipboard

MARCH 13, 2023

It is critical for the VMware Carbon Black team to design and build a custom end-to-end MLOps pipeline that orchestrates and automates workflows in the ML lifecycle and enables model training, evaluations, and deployments. The following architecture diagram illustrates the end-to-end workflow and the components involved in our MLOps pipeline.

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ODSC - Open Data Science

DECEMBER 1, 2023

MLOps End-to-end Machine Learning Operations (MLOps) with Azure Machine Learning In this learning path, you’ll learn how to implement key concepts to build an end-to-end MLOps solution. We are all familiar with Microsoft and Microsoft Azure , but have you explored their wide range of learning paths, available for free?

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ODSC - Open Data Science

MARCH 28, 2023

You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields. The topics discussed will include TensorFlow, neural networks, PyTorch, autonomous machines, recommendation systems, reinforcement learning, and much more.

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AWS Machine Learning Blog

JANUARY 5, 2024

In this post, we discuss model development and MLOps framework implementation for one of Wipro’s customers that uses Amazon SageMaker and other AWS services. MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. The same pipeline configuration is reused for the XGBoost model.

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ODSC - Open Data Science

JULY 13, 2023

MLOPs with Azure Machine Learning The MLOps v2 accelerator is the de-facto MLOps solution from Microsoft going forward. Part 1: Overview and Technical Considerations In the first of a three-part series about data centers and AI, we provide an overview of the topics and technical considerations.

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DataRobot Blog

APRIL 29, 2022

The details of these examples are often the topic of business school case studies and debate, but there is no arguing that model risk is very real and must be managed. A purposeful MLOps strategy can provide exactly this. More on this topic.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll also learn about the latest tools in NLP, machine learning, MLOps, and more during the Solution Talks. Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. Check them out below. Check them out for free!

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Heartbeat

NOVEMBER 15, 2023

As a language model, you are able to generate human-like text based on the input you receive, allowing you to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.nnYou are constantly learning and improving, and your capabilities are constantly evolving.

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ODSC - Open Data Science

JANUARY 1, 2024

Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics. In this Microsoft offering, you can watch a carefully curated list of their videos to learn the topics that are important to you. Where can I stay up to date?

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ODSC - Open Data Science

FEBRUARY 13, 2023

A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning. The certification covers the fundamentals of machine learning as well as diving into some trending topics, ensuring that you have a strong foundation in the basics and are exposed to the latest developments in the topic.

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The MLOps Blog

JANUARY 11, 2023

Overall, implementing MLOps in an IoT edge company is important because IoT systems often involve relatively large volumes of data, high levels of complexity, and real-time decision-making. If the machine learning tasks required by your use cases can be implemented using AI services, then you don’t need an MLOps solution.

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The MLOps Blog

JANUARY 23, 2023

By now, everyone must have seen THE MLOps paper. Machine Learning Operations (MLOps): Overview, Definition, and Architecture” By Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl Great stuff. In this article, I share how our reality as the MLOps tooling company and my personal views on MLOps agree (and disagree) with it.

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ODSC - Open Data Science

APRIL 29, 2023

MLOps in the Era of Generative AI Yaron Haviv｜Co-Founder & CTO｜Iguazio This talk will cover some of the operational challenges that are brought up by ChatGPT and Generative AI in general. You’ll also explore the MLOps orchestration best practices and new technologies that will help address some of these challenges.

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ODSC - Open Data Science

OCTOBER 26, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps with Microsoft LLMs in Data Analytics: Can They Match Human Precision? Virtual AI Expo Visit the AI Expo and Demo Hall to connect one-on-one with industry leaders in MLOps, NLP, Machine Learning, and much more. Confirmed sessions include Ask the Experts!

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AWS Machine Learning Blog

MARCH 1, 2023

Today, we are excited to announce the launch of Amazon Comprehend flywheel—a one-stop machine learning operations (MLOps) feature for an Amazon Comprehend model. MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle.

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Heartbeat

NOVEMBER 7, 2023

NLP — Topic Modeling For a TV Series Episode Summary Introduction Many of us watch TV shows for leisure within our daily mundane routines via various online streaming platforms (such as Amazon Prime or Netflix), each having its share of show categories. Dirichlet indicates that the model assumes the distribution of topics in a document.

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Towards AI

JULY 31, 2023

But choosing an MLOps solution is a bit different due to the long life cycle and the lack of mature tooling. Are you struggling to choose the right MLOps solution for your business? Just make sure the integration is feasible within your resources Speak with the communities like MDLI, MLOps.community, MLOps TLV, and many more.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

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The MLOps Blog

MARCH 21, 2023

To do that, you’d need to take a systematic approach to MLOps —enter platforms! Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast.

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AWS Machine Learning Blog

OCTOBER 2, 2023

This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. For other topics and use cases, refer to our Machine Learning and IoT blogs.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. You’ll also find another full day of hands-on training sessions and workshops on Responsible AI, MLOps, Generative AI, and more. Day 2 is also the first day of our revamped Ai X Business and Innovation Summit.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). The following figure illustrates the topics we discuss. Note that multiple personas can be covered by the same person depending on the scaling and MLOps maturity of the business.

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ODSC - Open Data Science

JUNE 15, 2023

First Speakers Announced for the Generative AI Summit With our first-ever Generative AI Summit coming July 20th, this free virtual event will cover the topics you need to know to get started developing, using, and understanding generative AI — and here are some of the first speakers.

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ODSC - Open Data Science

MAY 1, 2023

Topics covered include the building blocks of the workflows and best practices for inducing decision-makers to act. MLOps in the Era of Generative AI Yaron Haviv｜Co-Founder & CTO｜Iguazio This talk will cover some of the operational challenges that are brought up by ChatGPT and Generative AI in general.

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Heartbeat

MARCH 8, 2023

R is a popular open-source programming language used for statistical computation and data analysis, as well as for text classification tasks such as basic spam detection, sentiment analysis, and topic labeling. Text classification is heavily used in a variety of applications, including spam detection, sentiment analysis, and topic labeling.

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ODSC - Open Data Science

APRIL 20, 2023

How MLOps Work in the Era of Large Language Models In the era of large language models, how we approach MLOps may be a bit different than usual. Build AI Better with These ODSC East 2023 Demo Talks Covering topics like streaming analytics and use cases of AI in the real world, here are some demo talks coming to ODSC East.

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