IBM Journey to AI blog

JANUARY 8, 2024

They can optimize their supply chains, create delightful, personalized experiences for their customers, proactively identify quality issues or intercept customer churn before it occurs. Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA.

EDA 80

EDA Apache Kafka Clustering Data Governance 80

The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. These problems keep many ML practitioners awake at night.

ML 59

ML ML Machine Learning Machine Learning 59

phData

MAY 14, 2024

The Snowflake Data Cloud offers unparalleled flexibility, performance, and ease of use; however, migrating to a new data platform is not without its challenges. Snowflake is a cloud-native data warehousing platform that separates computing and storage, allowing for automatic scaling and pay-per-use pricing.

SQL 52

SQL Data Warehouse Data Engineering Data Engineer 52

IBM Data Science in Practice

MARCH 8, 2023

DeepMind launched AlphaFold , which can accurately predict 3D models of protein structures, accelerating research in nearly every field of biology. When we examine the hidden technical debt in machine learning systems , as illustrated below, it is understandable why most machine learning models never get deployed.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

AWS Machine Learning Blog

JULY 5, 2023

It enables the development of a whole class of applications that can convert text into speech in multiple languages. This service can be used by chatbots, audio books, and other text-to-speech applications in conjunction with other AWS AI or machine learning (ML) services. Amazon Polly provides a way to obtain this using speech marks.

AWS 67

AWS Machine Learning Machine Learning ML 67

AWS Machine Learning Blog

APRIL 4, 2024

With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers, and more—often find it difficult to find news content that is most relevant to them. Changing interests – Readers’ interests can evolve over time.

AWS 80

AWS ETL Data Scientist Database 80

The MLOps Blog

MARCH 15, 2023

Data professionals spend most of their time managing data in various forms – be it moving data across various systems, transforming, or processing the data to get meaningful insights. As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

AWS Machine Learning Blog

DECEMBER 29, 2022

Lookout for Equipment uses your unique ML model to analyze incoming sensor data in real time and accurately identify early warning signs that could lead to machine failures. Using simulated sensor signals will allow you to test your system and gain confidence before cutting over to production. Solution overview. Prerequisites.

Machine Learning 72

Machine Learning Machine Learning AWS Database 72

AWS Machine Learning Blog

APRIL 19, 2023

In this post, the Sportradar team discusses the challenges they encountered and the solutions they created to build their model inference platform using the DJL. Business requirements We are the US squad of the Sportradar AI department. With the DJL, integrating this deep learning is simple.

ML 75

ML ML Deep Learning Deep Learning 75

phData

DECEMBER 12, 2023

This blog was written by Sara Price and edited by Sunny Yan. With terms like ‘Fan 360’ disrupting the industry, there’s never been a better time to harness your fanbase to make more informed decisions. Rather than having data sources stored across the organization, it’s best to have everything located in a centralized location.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Tableau 52

AWS Machine Learning Blog

FEBRUARY 20, 2024

It makes globalization easier for the world’s best content creators. Typical localization workflows require manual speaker diarization, wherein an audio stream is segmented based on the identity of the speaker. This time-consuming process must be completed before content can be dubbed into another language.

AWS 95

AWS AI AI Machine Learning 95

IBM Journey to AI blog

JUNE 23, 2023

Although interest rates have increased at an unprecedented rate over the past year due to efforts by central banks to curb inflation, insurers are locked into low-yielding investments, and it will take several years for their investment yields to improve. Core modernization (processes and technology) is a top priority for every insurer.

Supervised Learning 61

Supervised Learning AI AI Artificial Intelligence 61

Alation

AUGUST 17, 2022

According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. They were run by IT instead of the most logical data governance owners and stewards. It’s not just an IT problem.

Data Governance 92

Data Governance Data Quality DataOps 92

Alation

MARCH 1, 2023

In a world as interconnected as ours, it’s difficult to overstate the value of secure information exchange. Blockchain technology delivers a secure record of transaction, using cryptography to interlink records. What is your data strategy and how did you begin to implement it? We started with the policies….

Data Governance 52

Data Governance Data Pipeline Database Analytics 52

The MLOps Blog

MARCH 15, 2023

Based on the McKinsey survey , 56% of orgs today are using machine learning in at least one business function. It’s clear that the need for efficient and effective MLOps and CI/CD practices is becoming increasingly vital. I would say the same happened in our case. S3 buckets. S3 buckets. An example would be AWS recognition.

AWS 52

AWS ETL ML ML 52

The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. You can watch it on YouTube: Or listen to it as a podcast on: Spotify Apple Podcast But if you prefer a written version, here it is! Anything you’d like to add?

ML 52

ML ML Data Scientist Machine Learning 52

Heartbeat

AUGUST 16, 2023

Introduction With the increase in visual data, it can be hard to sort and classify videos, making it difficult for Search Engine Optimization (SEO) algorithms to sort out the video data. The internet is overflooded with videos, making it tedious to search for them if there is no mechanism to classify and organize such data.

Python 52

Python Deep Learning Deep Learning ML 52

DataRobot Blog

MARCH 31, 2022

While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. It isn’t truly intelligent in the way humans are intelligent. It has no common sense, no general knowledge, and is incapable of critical thinking or logical reasoning. People change over time.

AI 52

AI AI Data Scientist 52

Data Science Blog

JUNE 27, 2023

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

Big Data 130

Big Data Big Data Apache Kafka Database 130

ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! 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.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

phData

NOVEMBER 2, 2023

In this blog, we’ll dive into what Snowflake Dynamic Tables are, how they work, the benefits they offer, and relatable use cases for them. From real-time streaming to batch processing and beyond, these tables offer a new level of flexibility and efficiency for data teams.

Data Pipeline 52

Data Pipeline SQL Data Warehouse Data Engineering 52

The MLOps Blog

JANUARY 26, 2024

To generate value from your model, it should make many predictions, and these predictions should improve a product or lead to better decisions. Luckily, we have tried and trusted tools and architectural patterns that provide a blueprint for reliable ML systems. But what is an ML pipeline? We’ll have to be more precise.

Machine Learning 73

Machine Learning Machine Learning ML ML 73

AWS Machine Learning Blog

JANUARY 17, 2024

It can represent a geographical area as a whole or it can represent an event associated with a geographical area. It involves understanding where the data exists from a spatial perspective and why it exists there. Vector data has a multitude of use cases in deriving mobility insights.

AWS 103

AWS Clustering ML ML 103

AssemblyAI

SEPTEMBER 22, 2023

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. And how are text-based or image-based techniques used to generate synthetic AI music? The architecture of MusicLM MusicLM is Google’s groundbreaking music generator.

AI 98

AI AI Machine Learning Machine Learning 98

AWS Machine Learning Blog

JANUARY 11, 2023

Financial service providers often need to identify relevant news, analyze it, extract insights, and take actions in real time, like trading specific instruments (such as commodities, shares, funds) based on additional information or context of the news item. Resources can be both hardware and needed software.

AWS 66

AWS ML ML Python 66

AWS Machine Learning Blog

NOVEMBER 22, 2023

And although generative AI has appeared in previous events, this year we’re taking it to the next level. Use the “Generative AI” tag as you are browsing the session catalog to find them. Second, we’ll have sessions covering the common generative AI use cases and applications.

AWS 110

AWS ML ML AI 110

AWS Machine Learning Blog

FEBRUARY 1, 2023

One approach to moderate videos is to model video data as a sample of image frames and use image content moderation models to process the frames individually. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

AWS 66

AWS ML ML Natural Language Processing 66

DagsHub

DECEMBER 11, 2023

Best 8 data version control tools for 2023 (Source: DagsHub ) Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

Ocean Protocol

SEPTEMBER 12, 2023

Architecture - Privacy & Oasis Sapphire - I mplementation ; backend details 6. Its testnet is live now, mainnet soon, and incentives program soon after. Motivation Tomorrow belongs to those who can hear it coming. — David Prediction feeds are a stream of predictions for a given time series. Let us begin. — A

ML 59

ML ML AI AI 59

IBM Journey to AI blog

APRIL 15, 2024

Data virtualization empowers businesses to unlock the hidden potential of their data, delivering real-time AI insights for cutting-edge applications like predictive maintenance, fraud detection and demand forecasting. Organizations can achieve a centralized perspective of their data, regardless of its storage source.

Analytics 71

Analytics Analytics Data Silos AI 71

The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. It is crucial to save, store, and package these models for their future use and deployment to production. Reusability & reproducibility: Building ML models is time-consuming by nature.

Python 106

Python ML ML Database 106

AWS Machine Learning Blog

JANUARY 11, 2024

The PGA TOUR continues to enhance the golf experience with real-time data that brings fans closer to the game. The TOUR currently uses ShotLink powered by CDW, a premier scoring system that uses a complex camera system with on-site compute, to closely track the start and end position of every shot.

AWS 108

AWS Machine Learning Machine Learning AI 108

phData

NOVEMBER 6, 2023

Simply put, RAG is a prompt engineering technique used to enhance the output of a Large Language Model (LLM). At its core, RAG is a technique designed to infuse LLMs with real-time, targeted information by acting as an intermediary, fetching the most relevant and recent data and presenting it to the LLM to optimize the generated response.

Database 98

Database AI AI Artificial Intelligence 98

PyImageSearch

NOVEMBER 13, 2023

Why Do We Use Intersection over Union (IoU)? Haar cascades ( Viola and Jones, 2001 ); HOG + Linear SVM ( Dalal and Triggs, 2005 )) at every step of the way. This discussion of Faster R-CNN building blocks will help you understand the core algorithm, how it works, and how end-to-end deep learning object detection is possible.

Deep Learning 120

Deep Learning Deep Learning Algorithm Support Vector Machines 120

PyImageSearch

JULY 3, 2023

In this blog post, we will dive deeper into the Netflix movies and series recommendation systems ( Figure 1 ). The Internet has revolutionized how we consume television through Over-the-Top (OTT) content streaming platforms like Netflix, Amazon Prime, Disney, HBO, etc. Millions of queries are searched on Netflix every day.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

You can watch it on YouTube: Or Listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here you have it! Quite fun, quite chaotic at times. My first pivot was to growth operations and sales hacking – it was called growth hacking at that time in Silicon Valley.

ML 52

ML ML Data Scientist Machine Learning 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. It starts with gathering the business requirements and relevant data. What are some of the techniques used for sampling?

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52