Alation

JUNE 17, 2021

Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. By joining forces, we can build more potent, tailored solutions that leverage data governance as a competitive asset. The Data Swamp Problem. Sign up for a weekly demo today. The Governance Solution.

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Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Analytics 52

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Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Enter a stack name, such as Demo-Redshift. yaml locally.

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ML ML AWS Data Warehouse 119

ODSC - Open Data Science

OCTOBER 25, 2024

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

AI 52

AI AI Data Scientist Data Lakes 52

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

IBM Journey to AI blog

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. It enables secure data sharing for analytics and AI across your ecosystem.

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AWS Database ETL AI 93

Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Can a data fabric architecture help you achieve your business goals?

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics.

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Tableau

DECEMBER 7, 2022

Now powered by Tableau, Genie brings that trusted, up-to-the-moment customer data to life by layering on visual, explorable, and actionable analytics and insights. . Built-in connectors bring in data from every single channel. Go from a data set to an intuitive dashboard in Tableau with a single click of a button.

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Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Now powered by Tableau, Genie brings that trusted, up-to-the-moment customer data to life by layering on visual, explorable, and actionable analytics and insights. . Built-in connectors bring in data from every single channel. Go from a data set to an intuitive dashboard in Tableau with a single click of a button.

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Tableau Data Warehouse Data Pipeline Data Visualization 98

AWS Machine Learning Blog

JULY 29, 2024

Salesforce Data Cloud and Einstein Model Builder Salesforce Data Cloud is a data platform that unifies your company’s data, giving every team a 360-degree view of the customer to drive automation and analytics, personalize engagement, and power trusted AI. Dharmendra Kumar Rai (DK Rai) is a Sr.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Common examples of time series data include sales revenue, system performance data (such as CPU utilization and memory usage), credit card transactions, sensor readings, and user activity analytics. Time series anomaly detection is the process of identifying unexpected or unusual patterns in data that unfold over time.

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DataRobot Blog

OCTOBER 3, 2017

Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. This new world of analytics has introduced a different set of complexities that have propelled IT organizations to build new technology infrastructures. [2] -->.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

ODSC - Open Data Science

OCTOBER 20, 2023

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others. LLMs in Data Analytics: Can They Match Human Precision?

AI 52

AI AI Data Science Machine Learning 52

Alation

FEBRUARY 20, 2020

The explosion in the amount of data that an enterprise has to deal with and the related rise of self-service analytics has resulted in several problems that the Sentient Enterprise intends to tackle. Oliver and Mohan have outlined five stages of development that organizations can embrace to evolve from data-aware to sentient.

Data Lakes 52

Data Lakes Data Analyst Analytics Analytics 52

Alation

APRIL 19, 2022

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. Only then can you extract insights across fragmented data architecture.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Snorkel AI

MARCH 26, 2024

Reinvestigating the data and updating problematic labels could have taken human labelers several days—perhaps weeks—of cumulative labor. The outputs of this model have become central to the client’s data lake, powering downstream analytics and recommendation models. Book a demo today.

Machine Learning 52

Machine Learning Machine Learning Data Lakes Data Science 52

IBM Journey to AI blog

JULY 27, 2023

Request a demo to see how watsonx can put AI to work There’s no AI, without IA AI is only as good as the data that informs it, and the need for the right data foundation has never been greater. It provides the combination of data lake flexibility and data warehouse performance to help to scale AI.

AI 69

AI AI Data Scientist Data Quality 69

Snorkel AI

MARCH 26, 2024

Reinvestigating the data and updating problematic labels could have taken human labelers several days—perhaps weeks—of cumulative labor. The outputs of this model have become central to the client’s data lake, powering downstream analytics and recommendation models. Book a demo today.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Alation

JANUARY 10, 2023

A data catalog provides them with the tools to achieve this goal. Alation’s enterprise data catalog improves the productivity of data analysts , increases the accuracy of analytics, and enables confident data-driven decision making whilst empowering everyone across the organization to connect with data.

Data Lakes 52

Data Lakes Data Analyst Analytics Analytics 52

Tableau

DECEMBER 7, 2022

As the world’s first real-time CRM, Salesforce Customer 360 and Data Cloud provide your entire organization with a single, up-to-the-minute view of your customer across any cloud. Data Cloud for Tableau brings that trusted, up-to-the-moment customer data to life by layering on visual, explorable, and actionable analytics and insights.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. This led me to Sanjeev Mohan.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. It enables data scientists to log, compare, and visualize experiments, track code, hyperparameters, metrics, and outputs.

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The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Why are you building an ML platform?

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Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

JUNE 5, 2023

A lot of them are demos at that point, they’re still not products. Building something such as Chatbots needs to be built like product analytics to be able to track what our users’ responses to this generation or whatever we’re doing and things like that. So data is really important for those still.

ML 52

ML ML Machine Learning Machine Learning 52

ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s why. Register for free! Is ChatGPT a Safe Cyber Space for Businesses?

Data Lakes 52

Data Lakes ML ML Analytics 52

Flipboard

MAY 15, 2025

Data environments in data-driven organizations are changing to meet the growing demands for analytics , including business intelligence (BI) dashboarding, one-time querying, data science , machine learning (ML), and generative AI. For Project name , enter demo. For Lakehouse catalog name , enter rms-catalog-demo.

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