Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. How LVMs Can Boost Enterprise Performance and Innovation? This is where the emergence of Large Vision Models (LVMs) becomes crucial.

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Heartbeat

MARCH 13, 2024

Using Comet to monitor pre-trained models Photo by Daniel Korpai on Unsplash Transfer learning involves using a pre-trained model to solve a deep-learning problem. This article will dive deep into how you can make great observations and visualizations with Comet. Now, for this task, you will need a few things: A Comet account.

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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth.

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IBM Journey to AI blog

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). It’s like having a financial guide by your side, showing you the tangible benefits of your optimization strategies and motivating you to keep pushing forward.

Automation 163

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IBM Journey to AI blog

NOVEMBER 8, 2023

This list includes 16 wide categories, such as all soft cheeses, nut butters, crustaceans, leafy greens and fresh-cut fruits. The supply chain plays a pivotal role in delivering goods and services to both businesses and consumers, serving as the connective thread between industries, nations, communities and all components of the value chain.

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Unite.AI

JUNE 26, 2023

Who is responsible for AI gone wrong and how can accidents be prevented? Both categories have their risks. Most AI today use “black box” logic, meaning no one can see how the algorithm makes decisions. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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IBM Journey to AI blog

JULY 26, 2023

Instead of relying on the previous year’s budget, ZBB requires you to evaluate and justify every expense from the ground up, justifying its necessity and alignment with strategic goals. It’s like starting with a blank canvas and carefully selecting each budget item based on its value and contribution to your financial objectives.

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IBM Journey to AI blog

MAY 8, 2023

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI.

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Marktechpost

DECEMBER 8, 2023

LLMs can completely change how people interact with technology by offering a more intuitive and natural experience. An agent is defined as an autonomous entity that can plan tasks, monitor its environment, and take appropriate action in response. Writing a different plugin for every ad hoc query is not feasible.

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Towards AI

FEBRUARY 29, 2024

Have you ever wondered how this happens? This is essentially how data is processed in real-time. Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Diagram by author As technology continues to advance, the generation of data increases exponentially. Let’s dive in!

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Many companies rely on human moderators to monitor video streams, which is time-consuming, error-prone, and doesn’t scale with business growth speed. A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies.

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Unite.AI

DECEMBER 21, 2023

Semrush provides a comprehensive set of tools to give you an edge in the competitive online landscape, from keyword research and competitor analysis to backlink monitoring and SEO audits. I'll cover the main ones with screenshots and show you how to use each from an SEO specialist's perspective. Optimize on-page and local SEO.

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IBM Journey to AI blog

OCTOBER 16, 2023

ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history. ML also provides the ability to closely monitor a campaign by checking open and clickthrough rates, among other metrics.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Modernized applications are deployed, monitored and maintained, with ongoing iterations to keep pace with technology and business advancements. The real problem lies in how the IT is organized, which reflects in how their current applications/services are built and managed (refer to Conway’s law ).

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Unite.AI

SEPTEMBER 26, 2023

But just how fortified are your company's digital walls? Data Protection Policies The rules and practices around how data is sourced, stored, utilized, and safeguarded fall under this category. In today's digital age, cyber threats are a relentless challenge, regularly catching companies – both big and small – off-guard.

Automation 288

Automation 288

The MLOps Blog

JANUARY 18, 2023

Model monitoring is an essential part of the CI/CD pipeline. Model monitoring for time series | Source In this article, we will explore the time series-forecasting model to understand how we can monitor it practically. It ensures consistency and offers robustness to the application that is deployed. So let’s get into it.

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Marktechpost

AUGUST 4, 2023

uses AI to take care of the finances. The important information from an invoice may be extracted without resorting to templates or memorization, thanks to the hundreds of millions of invoices used to train the algorithms. Even on day one of operation, their algorithms produce near-perfect header results, and their technology is always evolving.

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ODSC - Open Data Science

JUNE 22, 2023

To manage a data lake, organizations should have an understanding of how the data is used, its applications, and how many people have access to the data lake. In today’s world, digital and computer technology is essential for businesses to operate efficiently. However, even digital information has to be stored somewhere.

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Marktechpost

MARCH 27, 2024

These approaches typically involve classifying feedback into predefined categories or conducting topic modeling to identify underlying themes. In today’s digital age, software developers and product teams are inundated with user feedback from various channels – app reviews, forum posts, social media comments, and more.

Machine Learning 138

Machine Learning Large Language Models Software Development Natural Language Processing 138

Towards AI

OCTOBER 30, 2023

How Can We Perform Stakeholder Analysis? Applying Stakeholder Analysis to AI Governance Identification of Stakeholders Part 2 Categorize and Prioritize Stakeholders Develop and Implement Engagement Strategies Monitor and Adjust Actionable Takeaways Conclusion Stakeholder Analysis What is Stakeholder Analysis? Why Stakeholder Analysis?

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Unite.AI

JULY 3, 2023

Ultimately, we look to provide security and compliance teams with the ability to visualize and monitor the security of the AI in their supply chain, align their own AI systems with current and coming compliance requirements and frameworks, and easily share that their AI systems are secure and trustworthy.

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Heartbeat

MARCH 6, 2023

This tutorial will focus on building image classifiers from the ground up and monitoring the training process. Image classification is a computer vision task that allows algorithms to understand an image’s contents and assign one or more categories to the image. Traffic monitoring to help de-congest cities.

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Snorkel AI

AUGUST 8, 2023

While banks and financial institutions have used email monitoring for nearly two decades, modern artificial intelligence (AI) tools and workflows can build better monitoring utilities, faster. The early days of email monitoring Traditionally, banks have used methods like rule-based filtering to monitor emails for potential threats.

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Snorkel AI

AUGUST 8, 2023

While banks and financial institutions have used email monitoring for nearly two decades, modern artificial intelligence (AI) tools and workflows can build better monitoring utilities, faster. The early days of email monitoring Traditionally, banks have used methods like rule-based filtering to monitor emails for potential threats.

Data Scientist 52

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Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. The following is a transcript of his presentation, edited lightly for readability. I’m a product manager at Arize.

Machine Learning 52

Machine Learning ML Data Quality Data Drift 52

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. The following is a transcript of his presentation, edited lightly for readability. I’m a product manager at Arize.

Machine Learning 52

Machine Learning ML Data Quality Data Drift 52

Viso.ai

MARCH 19, 2024

Its segmentation mechanism accommodates many objects, regardless of their categories. SAM excels in generating detailed masks for objects by interpreting various prompts for fine-grained segmentation across arbitrary categories. Grounded-SAM aims to refine how models interpret and interact with visual content.

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Mlearning.ai

APRIL 17, 2023

Developing a machine learning model involves several steps: problem formulation, data collection, preprocessing, feature engineering, model-building, deployment, and monitoring. In this post, we will take a deep dive into the model building step, specifically focusing on model validation.

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Viso.ai

JANUARY 4, 2024

Unlike simple segmentation that might just separate foreground from background, semantic segmentation categorizes all pixels in an image into predefined categories. Each pixel in the image is classified and segmented to represent distinct objects or regions based on semantic categories. Get a demo. What is Segmentation?

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Viso.ai

DECEMBER 19, 2023

How Does Image Classification Work? This article covers everything you need to know about image classification – the computer vision task of identifying what an image represents. Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. About us: Viso.ai Get a demo for your company.

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IBM Journey to AI blog

AUGUST 28, 2023

How does text mining work? 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. What is text mining?

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Convolutional Neural Networks Data Mining Categorization Machine Learning 144

PyImageSearch

FEBRUARY 6, 2023

This is the 3rd lesson in our 4-part series on OAK 101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API Training a Custom Image Classification Network for OAK-D (today’s tutorial) OAK 101: Part 4 To learn how to train an image classification network for OAK-D, just keep reading.

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Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. This tutorial will teach you how to train your binary text classifiers using Keras. As a machine learning engineer, you start with a labeled data set that has vast amounts of text that have already been categorized.

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Flipboard

NOVEMBER 28, 2023

In this post, we discuss how to assess the potential risk of your AI system. Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. To realize the full potential of generative AI, however, it’s important to carefully reflect on any potential risks.

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Marktechpost

JUNE 4, 2023

It provides a complete dashboard where you can monitor the performance of your social links and other activities and make it easy to create short links. Digital tools exist to shorten lengthy URLs, characterized variously as link shorteners, URL shorteners, link compressors, and URL condensers. is your free URL shortener. What sets Hopp.co

AI Tools 98

AI Tools Categorization Automation AI Researcher 98

AWS Machine Learning Blog

APRIL 21, 2023

That process should also include monitoring that model to measure performance over time. In this post, we show how to create repeatable pipelines for your batch use cases using Amazon SageMaker Pipelines , Amazon SageMaker model registry , SageMaker batch transform jobs , and Amazon SageMaker Model Monitor.

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

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