Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. The tool is loaded with features, thus making it a popular choice for businesses. It helps harness the power of big data and turn it into actionable intelligence.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

ODSC - Open Data Science

JANUARY 19, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Improved Analytics Gut feelings are great, but data-driven insights are better.

Data Science 52

Data Science Automation Responsible AI Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 194

Data Science Data Scientist Machine Learning Data Mining 194

ODSC - Open Data Science

SEPTEMBER 29, 2023

In today’s digital world, data is king. Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

ESG 263

ESG Generative AI AI AI 263

ODSC - Open Data Science

JUNE 1, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise. Learn more about it here.

ML 52

ML Big Data Data Scientist Data Science 52

IBM Journey to AI blog

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Effective data security protocols and tools contribute to strong data integrity.

Data Quality 158

Data Quality Data Integration Metadata Automation 158

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

ODSC - Open Data Science

FEBRUARY 15, 2024

By exposing the model to domain-specific data, you can improve its performance on tasks related to that domain. This skill is incredibly useful in numerous applications where large volumes of unstructured data need to be analyzed and organized, such as in legal document analysis, academic research, and business intelligence.

Large Language Models 52

Large Language Models LLM Robotics Data Science 52

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. Through practice, machines pick up information or skills (or data).

Machine Learning 82

Machine Learning Data Mining Data Scientist Artificial Intelligence 82

AWS Machine Learning Blog

APRIL 19, 2023

An event time feature is also required, which enables the feature store to track the history of feature values over time. For each new transaction event, the Lambda function first retrieves the batch and streaming features from Feature Store. The feature groups for our use case are shown in the following table.

ML 75

ML Data Scientist Big Data Machine Learning 75

AWS Machine Learning Blog

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. His knowledge ranges from application architecture to big data, analytics, and machine learning.

ML 72

ML Data Analysis Machine Learning Metadata 72

Mlearning.ai

MAY 23, 2023

In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different business intelligence tools come into the picture. What is the difference between data analytics and data science?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52