IBM Journey to AI blog

DECEMBER 20, 2023

A well-formulated AI strategy should also help guide tech infrastructure, ensuring the business is equipped with the hardware, software and other resources needed for effective AI implementation. It will also guide the procurement of the necessary hardware, software and cloud computing resources to ensure effective AI implementation.

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IBM Journey to AI blog

OCTOBER 16, 2023

An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. The development and use of these models explain the enormous amount of recent AI breakthroughs.

Metadata 196

Metadata Explainability Automation AI 196

IBM Journey to AI blog

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. Explore IBM Cloud Satellite The post 5G use cases that are transforming the world appeared first on IBM Blog.

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ML Automation Robotics Data Analysis 274

IBM Journey to AI blog

MAY 9, 2023

Consistent principles guiding the design, development, deployment and monitoring of models are critical in driving responsible, transparent and explainable AI. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Metadata 198

Metadata Automation Responsible AI Explainability 198

IBM Journey to AI blog

NOVEMBER 29, 2023

An event streaming platform (ESP) plays a crucial role in this, by providing a continuous pipeline of real-time information from businesses’ mission-critical data sources. This knowledge is not static and new event data helps to evolve our latest knowledge with each interaction, to help guide decision-making and intervention.

Artificial Intelligence 234

Artificial Intelligence Artificial Intelligence Automation Machine Learning 234

IBM Journey to AI blog

JANUARY 18, 2024

Interact when and where customers are Conversational marketing can be deployed across a wide variety of platforms and tools to meet your customers where and how they prefer. Operate 24×7 Platforms operate around the clock , helping to ensure that customers can access information and support outside regular business hours.

Chatbots 243

Chatbots Automation AI Chatbots Natural Language Processing 243

AI Impacts

APRIL 17, 2023

News AI Impacts blog We moved our blog to Substack! We think this platform has many advantages, and we’re excited for the blog to live here. You can now easily subscribe to the blog to receive regular newsletters as well as various thoughts and observations related to AI. And we thank you!)

AI Strategy 130

AI Strategy AI AI ChatGPT 130

Marktechpost

DECEMBER 14, 2023

These systems, powered by advanced artificial intelligence, enhance our interaction with digital platforms. It serves as a guiding force where language models excel not only in precision and efficiency but also in accessibility and versatility. Check out the Reference Blog.

Large Language Models 133

Large Language Models LLM Artificial Intelligence Artificial Intelligence 133

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

Data Scientist 91

Data Scientist ML Data Science Automation 91

ODSC - Open Data Science

JANUARY 1, 2024

Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Below, you’ll find a rundown of all of our Microsoft and ODSC collaborative efforts, including past webinars & talks, blogs, and more.

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ODSC - Open Data Science

DECEMBER 7, 2023

How to Build a 5-Layer Data Stack Spinning up a data platform doesn’t have to be complicated. Including what they are, why you should be using them, and practical guides to get you started. Use our guide to help you ask the right questions to get you in. Here are the 5 must-have layers to drive data product adoption at scale.

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Explainable AI Data Scientist Data Science Python 98

IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. What is machine learning?

Data Science 151

Data Science Machine Learning Big Data Data Mining 151

AWS Machine Learning Blog

MAY 15, 2024

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16, Scalable Vector Extension (SVE), and Matrix Multiplication (MMLA) instructions.

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NLP BERT Natural Language Processing Software Development 91

Heartbeat

SEPTEMBER 18, 2023

Unleashing Innovation and Success: Comet — The Trusted ML Platform for Enterprise Environments Machine learning (ML) is a rapidly developing field, and businesses are increasingly depending on ML platforms to fuel innovation, improve efficiency, and mine data for insights.

ML 52

ML Data Scientist ML Engineer Machine Learning 52

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. In the first blog, we’re going to discuss the technical side of things, such as what languages and platforms people are using.

Machine Learning 116

Machine Learning Deep Learning Data Science Big Data 116

Pickl AI

NOVEMBER 8, 2023

The Scikit-Learn cheat sheet is a concise reference guide for using Scikit-Learn , a popular Machine Learning library in Python. This ultimate guide on Scikit-Learn Cheat Sheet is your one-stop resource for mastering the art of Machine Learning. Scikit-Learn Cheat Sheet guides you through this process, making it a seamless experience.

Machine Learning 52

Machine Learning Data Science Python NLP 52

AWS Machine Learning Blog

JANUARY 10, 2024

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

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ML Machine Learning ETL Data Scientist 101

AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. A solution version refers to a trained ML model. Choose Create solution. In her spare time, she enjoys traveling and exploring local food.

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Metadata Software Engineer Large Language Models Machine Learning 93

Flipboard

JUNE 11, 2023

Harmonize platform-level controls to ensure consistent security across the organization: Consistency across control frameworks supports AI risk mitigation and enables scalable protections across different platforms and tools. Check Out The Google AI Blog and Guide.

Software Development 105

Software Development AI AI Automation 105

AWS Machine Learning Blog

APRIL 12, 2023

For more information, see Creating a bucket and the Amazon S3 User Guide. Each document type has a separate folder: blogs, case-studies, analyst-reports, user-guides, and white-papers. Based on the ACL, we should be results from all the folders: blogs, user guides, case studies, analyst reports, and whitepapers.

Metadata 90

Metadata Software Engineer Algorithm ML 90

IBM Journey to AI blog

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

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Convolutional Neural Networks Data Mining Categorization Machine Learning 148

AWS Machine Learning Blog

SEPTEMBER 28, 2023

As it fields more queries, the system continuously improves its language processing through machine learning (ML) algorithms. Data is ingested into the platform as a bulk upload on day 0 and then incremental uploads day 1+. The generated response is provided back to the user via the web platform.

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Generative AI Large Language Models Artificial Intelligence Artificial Intelligence 99

Towards AI

FEBRUARY 13, 2023

This issue is brought to you thanks to Qdrant: Qdrant open-source vector search engine launches managed cloud platform Qdrant — robust vector similarity search engine with advanced filtering support. Qdrant cloud platform can be accessed through the website. It also features a compilation of blog posts and books for further learning.

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Prompt Engineer Prompt Engineering OpenAI ChatGPT 91

Towards AI

AUGUST 22, 2023

Gemini is still in training, but it’s already exhibiting multimodal capabilities never before seen in prior models.” — Google CEO blog, May-23. OpenAI’s Content Moderation OpenAI proposed the utilization of GPT-4 for the development of content policies and the facilitation of content moderation decisions on digital platforms.

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LLM AI AI OpenAI 85

DataRobot Blog

JULY 13, 2022

In a relatively short amount of time, DataRobot pioneered AutoML , extending the power of AI to millions of new users and accelerating the path to production, introduced the industry’s first Time Series capabilities, and delivered a true end-to-end platform across the entire AI lifecycle.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Machine Learning Data Science 105

Towards AI

MAY 7, 2024

On this topic, this week, RethinkX released a thoughtful blog post on the potential impact of humanoid robots: This time, we are the horses: the disruption of labor by humanoid robots. hour Scale your ML inference and fine-tuning workloads with Latitude’s Launchpad! Deploy today:– NVIDIA’s L40S GPU (48GB) @ $1.32/hour–

Robotics 79

Robotics Chatbots OpenAI AI 79

Heartbeat

JUNE 26, 2023

A guide to performing end-to-end computer vision projects with PyTorch-Lightning, Comet ML and Gradio Image by Freepik Computer vision is the buzzword at the moment. Today, I’ll walk you through how to implement an end-to-end image classification project with Lightning , Comet ML, and Gradio libraries.

ML 59

ML Auto-classification Deep Learning Computer Vision 59

Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. There are hundreds of blogs written on the same topic. While ML algorithms & code play a crucial role in success, it’s just a small piece of the large puzzle. Source: Image by the author.

ML 52

ML Data Scientist Automation Algorithm 52

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. This is where the world of operations steps in, and while MLOps (Machine Learning Operations) has been a guiding light, a new paradigm is emerging — LLMOps (Large Language Model Operations). Their mission?

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

IBM Journey to AI blog

JUNE 30, 2023

Review, revise or repost: Using an ATS platform and analytics, review how long it takes to fill positions, the number of applicants and other data to adjust the process to make it more efficient. Targeting job postings: Conduct research into the best methods and platforms to use to reach the best candidates.

Automation 149

Automation AI AI Natural Language Processing 149

PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

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ML Deep Learning Machine Learning Chatbots 60

Heartbeat

JANUARY 3, 2024

Enter machine learning (ML) , the technological powerhouse that has revolutionized industries from healthcare to finance, with its unparalleled ability to analyze vast datasets, identify patterns, and make predictions. But can ML also be the game-changer in our fight against climate change?

Machine Learning 52

Machine Learning ML Algorithm ESG 52

AWS Machine Learning Blog

JANUARY 6, 2023

Prior to building this centralized platform, TR had a legacy rules-based engine to generate renewal recommendations. The key requirement for TR’s new machine learning (ML)-based personalization engine was centered around an accurate recommendation system that takes into account recent customer trends. Solution architecture.

ML 66

ML Machine Learning ETL Explainability 66

AWS Machine Learning Blog

DECEMBER 1, 2023

As organizations scale the adoption of machine learning (ML), they are looking for efficient and reliable ways to deploy new infrastructure and onboard teams to ML environments. For example, MLOps engineers typically perform model deployment activities, whereas data scientists perform ML training and validation activities.

ML 97

ML Machine Learning Natural Language Processing Data Scientist 97

Pickl AI

JULY 25, 2023

The following blog is a complete guide on Algorithmic Bias- What is it and How to Avoid it?, helping you learn about bias in ML. 2. Employment and Hiring: AI-powered hiring platforms may inadvertently discriminate against certain groups. What is Algorithmic Bias? 2. Does social media algorithms increase bias?

Algorithm 52

Algorithm Machine Learning Natural Language Processing Automation 52

Heartbeat

SEPTEMBER 22, 2023

Automating Hyperparameter Tuning with Comet ML To streamline the hyperparameter tuning process, tools like Comet ML come into play. Comet ML provides a platform for test tracking and hyperparameter optimization. You’ll need Optuna for hyperparameter optimization and Comet ML for experiment tracking.

Machine Learning 64

Machine Learning ML Algorithm Automation 64

AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. Streaming platforms use micro-genres to enhance user experience by allowing viewers or listeners to discover content that aligns with their specific tastes and interests.

Generative AI 105

Generative AI Metadata Software Engineer AI 105