Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Quality 52

Data Quality Data Governance Data Analysis Data Analysis 52

AWS Machine Learning Blog

MARCH 11, 2024

Since implementing Amazon Personalize, VistaPrint increased their conversion rate by 10 percent and reduced their total cost of ownership by 30 percent. Transform the data to create Amazon Personalize training data.

AWS 95

AWS Data Warehouse Machine Learning Machine Learning 95

IBM Journey to AI blog

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. According to a Gartner report , poor data quality costs organizations an average of USD 12.9

Data Quality 68

Data Quality Data Governance Analytics Analytics 68

Alation

NOVEMBER 4, 2022

In business, data-based goals tend to be very tangible. Perhaps you want to boost your ROI or CAGR, or reduce the time your analysts spend accessing and leveraging data. In this blog we’ll describe digital transformation: how it can be achieved as well as how it can benefit your business. But first you need to define them.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Data Governance 52

Alation

MARCH 1, 2023

How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What are the goals of your data team?

Data Governance 52

Data Governance Data Pipeline Database Analytics 52

Iguazio

FEBRUARY 20, 2024

While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector. View the entire webinar here. These productivity lifts are worth approximately $200B - $340B.

AI 52

AI AI Data Pipeline Data Quality 52

IBM Journey to AI blog

JANUARY 8, 2024

Stage 4 – Transformative business strategy A broader range of users are able to access and process event streams to understand their relevance in a business context. Stage 4 – Transformative business strategy A broader range of users are able to access and process event streams to understand their relevance in a business context.

EDA 80

EDA Apache Kafka Clustering Data Governance 80

Alation

FEBRUARY 12, 2020

Hundreds of data sources. Hundreds (even thousands) of data consumers. To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an enterprise data catalog to drive the business forward with data, and ensure compliant, accurate data use.

Machine Learning 52

Machine Learning Machine Learning Hadoop Analytics 52

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Quality 52

Data Quality Data Governance Big Data Big Data 52

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth.

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Data Governance Data Quality Data Silos Analytics 96

Alation

APRIL 5, 2022

Data Management Meets Human Management. A well-oiled data governance machine comprises many parts, but what’s the most vital component? You and anyone else at your organization who uses data. Not everyone has to be a data expert — leave that to the actual experts. The Data Management Pizza Pie.

Data Governance 52

Data Governance Data Quality 52

IBM Journey to AI blog

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Data Governance AI AI Artificial Intelligence 87

IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 52

Data Quality Data Lakes Data Warehouse Business Intelligence 52

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

Pickl AI

APRIL 14, 2023

As the world slowly drifts towards data-driven decision-making, the relevance of quality data sets becomes even more significant. While most of this data is stored in a repository or on a cloud-based platform, the system’s vulnerability cannot be undermined. Here comes the role of Data Governance.

Data Governance 52

Data Governance Data Quality Data Silos Analytics 52

Alation

MARCH 29, 2023

Third, it offers a faster path to implementation. They help our customers architect their modern data stack , tying in Snowflake or Fivetran where they’re needed, for example. They’re also instrumental in connecting us to the key decision-makers that need a data intelligence platform. Please tell us about your background.

Data Governance 52

Data Governance 52

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. 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. The Risks of Early Data Governance Programs.

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Data Governance Data Quality DataOps 92

AWS Machine Learning Blog

SEPTEMBER 7, 2023

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. Many traditional control strategies are based on predefined rules and models, which often require manual optimization.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

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IBM Journey to AI blog

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few.

AI 61

AI AI 61

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Alation

JULY 30, 2021

6 Business Problems Data Catalogs Solve. The question I ask now is: What business problems does a data catalog solve for business customers? 1: Biz Problem – Making Data Accessible & Scalable in the Cloud. A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse.

Data Warehouse 52

Data Warehouse Data Governance Cloud Data Machine Learning 52

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Data is both the enabler and the competitive advantage behind these experiences.” — Satyen Sangani, CEO and co-founder, Alation.

Data Governance 52

Data Governance Data Silos Analytics Analytics 52

IBM Journey to AI blog

DECEMBER 19, 2023

The first post in this series navigates the complexities and uncovers the strategies and target state mode for achieving a seamless and effective pathway to deploy. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

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AWS Data Classification Data Preparation 82

IBM Journey to AI blog

OCTOBER 9, 2023

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. These conversations are happening as the workforce is undergoing a major change.

Artificial Intelligence 74

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 74

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 57

Data Warehouse Cloud Data Database Analytics 57

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Stronger Data Security. How do you know where to begin? .

Data Governance 52

Data Governance Cloud Data Data Silos Analytics 52

Smart Data Collective

JUNE 28, 2021

E-commerce companies around the world are investing more in data centers than ever before. The benefits of data centers for e-commerce companies are undeniable. They give online retailers high levels of control over their own internal data. E-commerce companies are using a lot of great data centers and hosting options.

Big Data 88

Big Data Big Data Big Data Analytics Big Data Analytics 88

IBM Journey to AI blog

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

AWS 65

AWS AI AI Machine Learning 65

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

DrivenData Labs

DECEMBER 13, 2022

The goal of this benchmark is to: Demonstrate how to explore and work with the data Provide a basic framework for building a model Demonstrate how to package your work correctly for submission You can either expand on and improve this benchmark, or start with something completely different! Let's get started.

ML 130

ML ML Python Deep Learning 130

AWS Machine Learning Blog

DECEMBER 29, 2022

Organizations implementing a more automated, reliable, and cost-effective Operational Technology (OT) strategy have led the way, recognizing the benefits of ML in predicting assembly line failures to avoid costly and unplanned downtime. The last decade of the Industry 4.0 The following diagram illustrates our solution architecture.

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Machine Learning Machine Learning AWS Database 71

AWS Machine Learning Blog

APRIL 5, 2023

Implementing this unified image and text search application consists of two phases: k-NN reference index – In this phase, you pass a set of corpus documents or product images through a CLIP model to encode them into embeddings. You can use both text and images as queries. You can use CLIP with Amazon SageMaker to perform encoding.

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AWS ML ML K-nearest Neighbors 87

The MLOps Blog

MARCH 15, 2023

We’ll delve into the MLOps practices and strategies we tried and implemented across some of our projects. We’ll delve into the MLOps practices and strategies we tried and implemented across some of our projects. Security : Implementing security measures such as access control.

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AWS Machine Learning Blog

OCTOBER 20, 2023

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services.

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ML ML AWS Data Lakes 103

IBM Journey to AI blog

AUGUST 1, 2023

Organizations need to pay attention to several types of incidents, including unplanned interruptions like system outages, network configuration issues, bugs, security incidents, data loss and more. Invariably, some of those users attempt to access a website that is either slow to load or prone to crashing.

Database 62

Database Analytics Analytics 62

AWS Machine Learning Blog

JANUARY 31, 2024

By combining embeddings that capture semantics with a technique called Retrieval Augmented Generation (RAG) , you can generate more relevant answers based on retrieved context from your own data sources. Improving how users discover new content is critical to increase user engagement and satisfaction on media platforms.

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AWS Data Scientist AI AI 90