Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? I will define this later as the “Data Product.”

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

AWS 124

AWS AI AI ML 124

IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Data Governance 81

Data Governance Data Quality AI AI 81

IBM Journey to AI blog

JULY 5, 2023

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Limit data transfer fees by avoiding unnecessary data transfers.

Azure 69

Azure AWS Big Data Big Data 69

phData

AUGUST 9, 2023

This post was co-written by Sam Hall and Dakota Kelley As the Modern Data Stack grows and matures, a large variety of tools begin to pop up, solving various problems throughout the ecosystem. In short, ELT exemplifies the data strategy required in the era of big data, cloud, and agile analytics.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Pickl AI

MARCH 22, 2023

Data Science is one of the most affluent career fields in the market and you can find yourself becoming part of the industry with the right skills and experience. However, how do you know which are the top Data Science companies in India if you have to be part of the industry? Top Data Science Companies in India 1.

Data Science 52

Data Science Data Scientist Analytics Analytics 52

AWS Machine Learning Blog

APRIL 22, 2024

These include the ability to analyze massive amounts of data, identify patterns, summarize documents, perform translations, correct errors, or answer questions. These capabilities can be used to add value throughout the entire value chain of your organization.

AI 113

AI AI AWS Deep Learning 113

phData

APRIL 10, 2023

In almost every modern organization, data and its respective analytics tools serve to be that big blue crayon. Users across the organization need that big blue crayon to make decisions every day, answer questions about the business, or drive changes based on data. What is Governed Self-Service Analytics?

Analytics 52

Analytics Analytics Data Governance Data Modeling 52

IBM Journey to AI blog

MAY 23, 2023

According to a 2021 study by the IBM Institute for Business Value (IBV), 80% of executives expected their organizations to operate more than 10 distinct clouds by 2023, up from eight in 2020. Per data from a 2022 Verizon report , as many as 8 in 10 security breaches are caused by human error. million compared to USD 4.24

Machine Learning 97

Machine Learning Machine Learning AI AI 97

Tableau

JUNE 16, 2021

Customers now have a more transparent view of the commitment and quality level of Tableau’s partners by business model track (Reseller, Services, and Technology) and performance level (Premier, Select, and Member), as well as by country groupings versus a single global qualification.

Tableau 95

Tableau Analytics Analytics 95

The MLOps Blog

OCTOBER 3, 2023

Mikiko is a very well-known figure in the data community. So I tell people honestly, I’ve spent the last eight years working up and down the data and ML value chain effectively – a fancy way of saying “job hopping.” I actually did not pick up Python until about a year before I made the transition to a data scientist role.

ML 52

ML ML Data Scientist Machine Learning 52

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? The cloud is no longer synonymous with risk.

Data Warehouse 69

Data Warehouse Cloud Data Data Governance Database 69

Tableau

JUNE 16, 2021

Customers now have a more transparent view of the commitment and quality level of Tableau’s partners by business model track (Reseller, Services, and Technology) and performance level (Premier, Select, and Member), as well as by country groupings versus a single global qualification.

Tableau 52

Tableau Analytics Analytics 52

The MLOps Blog

JANUARY 23, 2023

Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. There will be only one type of ML metadata store (model-first), not three.

ML 59

ML ML Data Scientist Machine Learning 59

The MLOps Blog

MAY 31, 2023

The problem is, with more ML models and systems in production, you need to set up more infrastructure to reliably manage everything. What are the model types that an eCommerce ML platform can support? We can collect and use user-product historical interaction data to train recommendation system algorithms. are some examples.

ML 59

ML ML Algorithm Machine Learning 59

The MLOps Blog

DECEMBER 7, 2022

And that includes data. Given that the whole theory of machine learning assumes today will behave at least somewhat like yesterday, what can algorithms and models do for you in such a chaotic context ? Those were the questions that the guys at CTF Capital —a trading fund— had. With that out of the way, let’s dig in!

ML 52

ML ML AWS ETL 52

Alation

MARCH 24, 2021

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). AI fails when it’s fed bad data, resulting in inaccurate or unfair results.

AI 105

AI AI Data Quality Artificial Intelligence 105

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

Big Data 95

Big Data Big Data Apache Kafka Data Lakes 95

IBM Journey to AI blog

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

AI 80

AI AI Artificial Intelligence Artificial Intelligence 80

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. What is the Snowflake Data Cloud? What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52

Alation

JUNE 24, 2022

Last week the Alation team joined data leaders from all over the world for Snowflake Summit 2022 in Las Vegas. With over 10,000 people in attendance, it was truly an event for the entire data community. Attendees were focused on one key question: how can we put data into action and make it accessible to everyone? Let’s dive in!

Data Governance 59

Data Governance SQL Data Silos AWS 59