IBM Journey to AI blog

JUNE 8, 2023

The reefs are also equipped with the BluBoxx™ ocean data platform, and can be adapted to different environments to monitor and collect a wide range of ocean data.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

The generative AI tool can also incorporate external factors like weather, upcoming events or the shopper’s location. Because various generative AI solutions are trained on large swaths of data, they have the capability to pull and interpret existing data incorrectly.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 194

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IBM Journey to AI blog

AUGUST 22, 2023

These days, methods are augmented with machine learning algorithms that enable accurate prediction of storm events and paths. We can see the beginnings of a modern data and analytics platform to support disease surveillance, enabling automated data processing and modeling.

Machine Learning 141

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 106

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AWS Machine Learning Blog

DECEMBER 20, 2023

A common cybersecurity challenge has been two-fold: Consuming logs from digital resources that come in different formats and schemas and automating the analysis of threat findings based on those logs. Store new security logs in an S3 bucket and queue events in Amazon Simple Queue Service (Amazon SQS).

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Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. It relates to employing algorithms to find and examine data patterns to forecast future events.

Machine Learning 82

Machine Learning Data Mining Data Scientist Artificial Intelligence 82

ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

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The MLOps Blog

MARCH 15, 2023

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. This is what data processing pipelines do for you. Data Transformation : Putting data in a standard format post cleaning and validation steps.

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ETL Categorization Automation Data Integration 59

IBM Journey to AI blog

AUGUST 3, 2023

The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary. It’s both a data security and privacy issue. To help meet data compliance goals, Guardium Insights provides out-of-the-box policy templates to simplify regulatory compliance.

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Natural Language Processing Data Discovery Automation Big Data 143

DataRobot Blog

MARCH 16, 2023

The DataRobot team has been working hard on new integrations that make data scientists more agile and meet the needs of enterprise IT, starting with Snowflake. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production. DataRobot Launch Event From Vision to Value.

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ODSC - Open Data Science

OCTOBER 20, 2023

From Data Collection to ML Model Deployment in Less Than 30 Minutes Hudson Buzby | Qwak Solution Architect | Qwak Explore Qwak MLOps Platform, a comprehensive platform tailored to empower data scientists, engineers, and organizations. Interested in attending an ODSC event?

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NLP Data Science Machine Learning Data Analysis 52

AWS Machine Learning Blog

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud.

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Data Extraction Data Ingestion ML Machine Learning 99

DataRobot Blog

MARCH 16, 2023

This means they need the tools that can help with testing and documenting the model, automation across the entire pipeline and they need to be able to seamlessly integrate the model into business critical applications or workflows. DataRobot Launch Event From Vision to Value. blog series and deep dive into the new 9.0

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IBM Journey to AI blog

APRIL 18, 2024

Today’s AI, including generative AI (gen AI), is often called narrow AI and it excels at sifting through massive data sets to identify patterns, apply automation to workflows and generate human-quality text. However, these systems lack genuine understanding and can’t adapt to situations outside their training.

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AWS Machine Learning Blog

OCTOBER 20, 2023

A framework for vending new accounts is also covered, which uses automation for baselining new accounts when they are provisioned. You can start small with one account for your data platform foundations for a proof of concept or a few small workloads.

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ML Data Scientist ML Engineer Data Science 95

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Marktechpost

JULY 17, 2023

Information created intentionally rather than as a result of actual events is known as synthetic data. Synthetic data is generated algorithmically and used to train machine learning models, validate mathematical models, and act as a stand-in for test production or operational data test datasets.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

AWS Machine Learning Blog

AUGUST 3, 2023

Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. file, which will be the main entry point of the Lambda function: def lambda_handler(event, context): body_bytes = json.loads(event["body"])["image"].split(",")[-1]

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Computer Vision Data Scientist ML Deep Learning 62

The MLOps Blog

MARCH 21, 2023

It should be able to version the project assets of your data scientists, such as the data, the model parameters, and the metadata that comes out of your workflow. Automation You want the ML models to keep running in a healthy state without the data scientists incurring much overhead in moving them across the different lifecycle phases.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

NOVEMBER 27, 2023

Salesforce Data Cloud and Einstein Studio Salesforce Data Cloud is a data platform that provides businesses with real-time updates of their customer data from any touch point. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud. join(map(str, instance["features"]))) body='n'.join(features)

ML 69

ML Data Scientist AI Modeling Natural Language Processing 69

Artificial Corner

JUNE 6, 2023

Over time, new technologies, tools, and approaches have emerged, enabling more efficient data processing, advanced analytics, and real-time insights. Early Days of Data Storage and Databases The earliest forms of data storage were hierarchical databases, first introduced in the 1960s with the Integrated Data Store (IDS) by Charles Bachman.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Mlearning.ai

FEBRUARY 16, 2023

Bulk Data Load Data migration to Snowflake can be a challenge. The solution provides Snowpipe for extended data loading; however, sometimes, it’s not the best option. There can be alternatives that expedite and automate data flows. Simple solutions are easier to work with, understand, and diagnose problems.

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