AWS Big Data

DECEMBER 17, 2024

These improvements enhanced price-performance, enabled data lakehouse architectures by blurring the boundaries between data lakes and data warehouses, simplified ingestion and accelerated near real-time analytics, and incorporated generative AI capabilities to build natural language-based applications and boost user productivity.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. Meta-Orchestration.

Testing 304

Testing Machine Learning Consulting Data Science 304

DataKitchen

FEBRUARY 20, 2025

It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. New Quality Dashboard & Score Explorer.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

AWS Big Data

NOVEMBER 22, 2024

Today, we are excited to announce the preview of generative AI upgrades for Spark, a new capability that enables data practitioners to quickly upgrade and modernize their Spark applications running on AWS. After the upgraded application runs successfully, practitioners must validate the new output against the expected results in production.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM). Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

Enterprise 342

Enterprise Testing Modeling Reporting 342

O'Reilly on Data

MARCH 24, 2020

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 John Myles White , data scientist and engineering manager at Facebook, wrote: “The biggest risk I see with data science projects is that analyzing data per se is generally a bad thing. .”

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

Cloudera

NOVEMBER 13, 2024

With AI and generative AI powering the next wave of business applications, the real competitive edge lies in collecting vast amounts of data and deeply understanding and leveraging it for business value. This dampens confidence in the data and hampers access, in turn impacting the speed to launch new AI and analytic projects.

Metadata 90

Metadata Management Data Governance Data-driven 90

DataKitchen

DECEMBER 9, 2022

This can include the use of tools for data preparation, model training, and deployment, as well as technologies for monitoring and managing data-related systems and processes. This can include the use of tools for data integration and transformation, as well as technologies for managing and monitoring data-related systems and processes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight. The architecture is shown in the following figure.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

Rocket-Powered Data Science

FEBRUARY 15, 2023

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Rocket-Powered Data Science

JULY 6, 2021

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Before we start, I have a few questions for you.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen.

Testing 241

Testing Big Data Statistics Manufacturing 241

O'Reilly on Data

MARCH 26, 2024

Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. It’s an interesting piece that I commend to you, but one that makes me uncomfortable.

Modeling 322

Modeling Machine Learning Risk Advertising 322

AWS Big Data

OCTOBER 30, 2024

This integration empowers data users to access and analyze governed data within Amazon DataZone using familiar tools, boosting both productivity and flexibility. Leveraging AWS’s managed service was crucial for us to access business insights faster, apply standardized data definitions, and tap into generative AI potential.

Visualization 119

Visualization Data Lake Testing Data Governance 119

CIO Business Intelligence

NOVEMBER 19, 2024

But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives. In 2024, a new trend called agentic AI emerged. They have no goal.

Testing 135

Testing Cost-Benefit Interactive ROI 135

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. SaaS is taking over the cloud computing market.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

AWS Big Data

NOVEMBER 29, 2024

This blog post details how you can extract data from SAP and implement incremental data transfer from your SAP source using the SAP ODP OData framework with source delta tokens. Solution overview Example Corp wants to analyze the product data stored in their SAP source system.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

AWS Big Data

DECEMBER 18, 2024

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5 OpenSearch Service natively supports BM25.

Metrics 96

Metrics Modeling Data Processing Machine Learning 96

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. Data Teams: A Unified Management Model for Successful Data-Focused Teams, by Jesse Anderson. How did we get here? This book is for any data leader looking to get the most out their data and their data teams.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Cloudera

DECEMBER 4, 2024

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. This is where the Cloudera AI Inference service comes in.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. Zero-ETL is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines. What is zero-ETL?

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

Cloudera

DECEMBER 4, 2024

Now, the era of generative AI (GenAI) demands data pipelines that are not just powerful, but also agile and adaptable. and its potential to revolutionize data flow management. These enhancements empower organizations to build sophisticated GenAI solutions with greater ease and efficiency, unlocking the transformative power of AI.

Metrics 93

Metrics Data Integration Management Modeling 93

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ).

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Executive Summary.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

DataKitchen

NOVEMBER 29, 2021

AI Accountability. The global AI market is projected to grow at a compound annual growth rate (CAGR) of 33% through 2027 , drawing upon strength in cloud-computing applications and the rise in connected smart devices. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

datapine

MAY 14, 2019

It is also wise to clearly make a difference between data science and data analytics in a business context so that the exploration of the fields bring extra value for interested parties. Exclusive Bonus Content: The top books on data science summarized! Exclusive Bonus Content: The top books on data science summarized! Download our free guide!

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Data Virtualization

FEBRUARY 6, 2025

Reading Time: 4 minutes In 2024, generative AI (GenAI) became top-of-mind, as companies began to leverage it for increased productivity. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 64

Data Integration Management Data Warehouse IT 64

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

datapine

JULY 8, 2020

We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational processes, and results. What Is A COO Dashboard?

Dashboards 202

Dashboards Reporting Metrics Visualization 202

datapine

MAY 2, 2023

Applied to logistics and supply chain processes, you will see your productivity levels soar while consistently exceeding client or customer expectations, and ultimately, boosting your bottom line. Financial efficiency: One of the key benefits of big data in supply chain and logistics management is the reduction of unnecessary costs.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. Many other organizations, however, aren't yet so evolved.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

CIO Business Intelligence

JUNE 19, 2024

The company on Wednesday unveiled the release of Generative Chemistry and Accelerated DFT, which together expand how scientists in the chemicals and materials science industry can use its Azure Quantum Elements platform to help drastically shorten the time it takes them to do research, the company said in a blog post.

Strategy 137

Strategy Consulting Optimization Technology 137

Smart Data Collective

SEPTEMBER 8, 2021

The importance of managing and leveraging data cannot be overestimated. Luckily, AI-powered technologies can help transform data into contextualized knowledge with practical relevance. In this article, you’ll discover more about how AI-driven data analytics tools benefit businesses and organizations.

Data-driven 141

Data-driven Data Analytics Analytics Marketing 141

CIO Business Intelligence

JUNE 28, 2023

The fully managed AppFabric offering, which has been made generally available, is designed to help enterprises maintain SaaS application interoperability without having to develop connectors or workflows in-house while offering added security features, said Federico Torreti, the head of product for AppFabric.

Enterprise 136

Enterprise Machine Learning Metrics Modeling 136

CIO Business Intelligence

AUGUST 26, 2024

IBM is outfitting the next generation of its z and LinuxONE mainframes with its next-generation Telum processor and a new accelerator aimed at boosting performance of AI and other data-intensive workloads. It is all about the accelerator’s architectural design plus optimization of the AI ecosystem that sits on top of the accelerator.

Enterprise 132

Enterprise Insurance Optimization Modeling 132