The MLOps Blog

FEBRUARY 5, 2023

What comes into your mind when you hear Streaming Data? May be data generated through video streaming platforms like YouTube, but this is not the only thing which qualifies as streaming data. In this article, we will go through the basics of streaming data, what it is, and how it differs from traditional data.

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AssemblyAI

SEPTEMBER 29, 2023

Live streaming 6. Using topic detection , which utilizes the IAB taxonomy to categorize transcripts into 698 topics, companies can build tools that map words and sentences under similar topics. But, live streaming is not the most accessible format, especially if you don’t offer live captioning.

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ODSC - Open Data Science

JUNE 1, 2023

To understand what it means, we should start by thinking of the world in terms of events, where an event is a thing that happens. And we are going to take those events, become aware of them, and understand them. Stores events in a durable manner so that downstream components can process them.

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phData

MAY 3, 2024

Apache Kafka is an open-source event distribution platform. It follows a publish-subscribe model where producers publish data on a topic, and consumers subscribe to one or more topics to consume it. Once Kafka is ready, create a Topic and a Producer. It is capable of handling high-volume and high-velocity data.

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phData

MARCH 7, 2023

In this blog, we’ll explore the new Snowpipe Streaming API feature, why it matters, and how to implement it. What is Snowflake's Snowpipe Streaming API? This can add latency to your streaming data and requires you to store your data in a stage that Snowpipe can access and load into a table. So how does Snowflake do this?

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Towards AI

FEBRUARY 15, 2024

I was also curious to know your thoughts on the events world. I used this week’s poll to survey the community, asking if you have attended or are attending “industry events” such as GTC, World AI Summit, or others. I would love to hear your thoughts on those kinds of events! I wish you all a great weekend. AI poll of the week!

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Smart Data Collective

SEPTEMBER 27, 2023

Thorough strategies use content pillars to dive deeper into topics target markets find relevant. For instance, you create a pillar page with an overview of your main topic. Underneath your primary pillar are three to four sub-topics linking to your main page. The page is long, somewhere around 3,000 words.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

This process comprises two key components: event data and optical tracking data. Event data collection entails gathering the fundamental building blocks of the game. These two streams of data originate from distinct sources, and their synchronization in time is not guaranteed. Let’s delve into the details.

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Data Science 101

JULY 31, 2019

The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. It is not just a conference or webinar, it will be an interactive online platform. You can pre-register for the conference now.

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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Smart Data Collective

AUGUST 17, 2022

But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application. Then another team member may use the event-driven architectures to notify the administrator and perform various downstream actions.

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ODSC - Open Data Science

AUGUST 3, 2023

Introduction to Asynchronous Programming in Python In this post, we will further discuss the topic of Asynchronous Programming and introduce the asyncio library in Python. Join us at ODSC APAC on August 22nd and 23rd for 2 full days of talks, workshops, and tutorials on a wide range of topics. Here’s how. CAGR from 2022 to 2031.

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AWS Machine Learning Blog

DECEMBER 29, 2022

Now, teams that collect sensor data signals from machines in the factory can unlock the power of services like Amazon Timestream , Amazon Lookout for Equipment , and AWS IoT Core to easily spin up and test a fully production-ready system at the local edge to help avoid catastrophic downtime events. Solution overview. Prerequisites.

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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. The NLTK library used here helps to remove the stopwords from the text.

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AssemblyAI

JANUARY 24, 2024

Speech AI refers to the following: Highly accurate AI Speech-to-Text models that automatically transcribe video and audio streams, like sales calls, into a readable transcription text.  Topic Detection identifies common topics in a transcription text, helping users understand context and identify buying patterns.

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AssemblyAI

MARCH 18, 2024

For example, Speech AI models such as Sentiment Analysis or Topic Detection can make it easier for businesses to quickly understand thousands of hours of customer phone calls at once.   Using built-in Audio Intelligence features, creators can summarize the main topics in an audio file.

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AWS Machine Learning Blog

MARCH 11, 2024

Stream ecommerce website events to a CDP. A CDP is used to capture events from an ecommerce website, for example when a user views a product or adds a product to their shopping cart. As a customer navigates an ecommerce website and these events are captured by a CDP, they are also forwarded to Amazon Personalize.

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Towards AI

FEBRUARY 12, 2024

It was a simple structured streaming pipeline that was listening to a Kafka topic for events and performing some transformations on it, before emitting the output to another Kafka topic. I was recently caught in such a debugging train when one of my pipelines was taking longer than expected.

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Data Science Dojo

JULY 27, 2023

Ticket reservation: The Ticket Reservation project revolves around creating a straightforward system for reserving tickets for events or travel purposes. Using Python, learners can build a command-line or GUI application that allows users to browse available events or travel options and book tickets for specific dates and seats.

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AWS Machine Learning Blog

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. This results in customized news feeds that surface the topics and sources most relevant to an individual user.

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Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team What happened this week in AI by Louis ChatGPT and generative AI are still hot topics this week. ChatGPT has been a topic of discussion since its launch, with opinions divided between its potential benefits and perceived threats. Upcoming Community Events The Learn […]

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ODSC - Open Data Science

MAY 5, 2023

At ODSC East this May and ODSC Europe this June , you can check out the data engineering track for each event to learn more about these data science cloud options and more data engineering topics.

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phData

JANUARY 30, 2024

Until recent developments in the research community, traditional natural language processing focused on text classification, topic modeling, or simple sentiment analysis. Can be from databases, event streams, or API calls. Can be from databases, event streams, or API calls. Input text you want to analyze.

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Heartbeat

DECEMBER 22, 2023

You can set up the toolkit as follows: search = DuckDuckGoSearchAPIWrapper() search_tool = Tool(name="Current Search", func=search.run, description="Useful when you need to answer questions about nouns, current events or the current state of the world." " ) tools = [search_tool] ? > Finished chain.

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Pickl AI

JULY 10, 2023

It can also be useful for tracking public opinion on specific topics or events. Trend Analysis: Twitter is known for its real-time nature, making it a valuable source for tracking trends. By scraping Twitter data, you can identify popular hashtags, trending topics, and viral content.

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AssemblyAI

MAY 14, 2024

Businesses that operate on models offering free ad-supported streaming (like restaurants, airports, and retail stores) need to protect their brand integrity. And real-time captioning services use speech recognition to transcribe language spoken during live events, meetings, or broadcasts.

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AWS Machine Learning Blog

MAY 5, 2023

Understanding the nuances between search queries for similar topics is important to provide relevant results and minimize the effort required from the user to manually sort through results. First, the diagrams inserted into DynamoDB create a Put event via Amazon DynamoDB Streams.

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phData

SEPTEMBER 8, 2023

BI workloads can be dynamic, with varying demands depending on factors such as time of day, seasonality, or specific business events. It supports a wide range of data integration methods, including bulk loading, streaming, and real-time data ingestion. Snowflake supports encryption at rest and in transit.

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Dataconomy

OCTOBER 16, 2023

Here are a few key things that I can do: Information Retrieval: I have access to a vast knowledge base, allowing me to provide accurate and reliable information on various topics. Whether it’s historical events, scientific concepts, or literary analysis, I can fetch the information you need.

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Snorkel AI

JUNE 27, 2023

And that’s the topic that we will talk about today. So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. And then during prediction, we can use stream SQL to compute these SQL features.

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Snorkel AI

JUNE 27, 2023

And that’s the topic that we will talk about today. So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. And then during prediction, we can use stream SQL to compute these SQL features.

AI 52

AI AI Data Warehouse Machine Learning 52

Flipboard

AUGUST 7, 2023

If Aum had had access to ChatGPT, would the attacks of the summer of 1990 be remembered as possibly the worst bioterrorism event in history? As chatbots become more sophisticated, however, they may inadvertently help individuals with malicious intent to upskill on topics that empower them to do harm.

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The MLOps Blog

JANUARY 11, 2023

Moreover, this role needs to be granted the proper rights and permissions to create, for example, rules for events, Lambdas, layers, and logs. After assembling a workflow, the lambda function that is invoked by the event will pass the workflows repository and tell the SageMaker notebook which script or notebook needs to be executed.

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IBM Data Science in Practice

MARCH 8, 2023

In other words, companies need to move from a model-centric approach to a data-centric approach.” — Andrew Ng To gain a deeper understanding of this topic, Andrew shares his insights here , and he weighs in on where we are today (Model-centric ML) and where we should be going (Data-centric ML).

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Analytics Vidhya

NOVEMBER 2, 2020

Overview Learn about viewing data as streams of immutable events in contrast to mutable containers Understand how Apache Kafka captures real-time data through event. The post Apache Kafka: A Metaphorical Introduction to Event Streaming for Data Scientists and Data Engineers appeared first on Analytics Vidhya.

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ODSC - Open Data Science

MAY 31, 2023

The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Consumers read the events and process the data in real-time. Editor’s note: Kai Waehner is a speaker for ODSC Europe this June.

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Pickl AI

JULY 20, 2023

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Root cause analysis is a typical diagnostic analytics task.

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