IBM Journey to AI blog

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. You can also sign up for a demo or get started with an IBM watsonx.data trial on AWS from the watsonx.data product page.

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IBM Journey to AI blog

OCTOBER 30, 2023

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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IBM Journey to AI blog

APRIL 8, 2024

AWS ran a live demo to show how to get started in just a few clicks. Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS   Scalability 5.

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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

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IBM Journey to AI blog

NOVEMBER 15, 2023

Watsonx.data acts as a front end for the company’s ERP system, with up-to-date attributes about inventory items, ratings of suppliers, quantities available and so on, along with a third-party data warehouse providing further decision criteria. Thus, teams can work smarter and move toward better, more integrated business outcomes.

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Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

DataRobot Blog

FEBRUARY 28, 2023

For our joint solution with Snowflake, this means that code-first users can use DataRobot’s hosted Notebooks as the interface and Snowpark processes the data directly in the data warehouse. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

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Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Twenty years ago, I saw into the future.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.

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Precisely

JULY 18, 2024

Significantly improves data governance and security through a unified framework for managing data policies, compliance, and quality across all data points. With its business-friendly user experience, this innovative solution ensures data accuracy, consistency, and context, allowing you to automate and accelerate decision-making.

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IBM Journey to AI blog

JANUARY 10, 2023

Background on the Netezza Performance Server capability demo. This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. Prerequisites for the demo. Supplemental section with additional details.

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IBM Journey to AI blog

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

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phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. Book a Demo The post What is a Customer Data Platform (CDP)? appeared first on phData.

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Precisely

MARCH 10, 2023

At the same time, IoT devices, web analytics, social media, and interconnected systems generate higher volumes of data than ever before. Think back to the early 2000s, a time of big data warehouses with rigid structures. There was a massive expansion of efforts to design and deploy big data technologies.

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IBM Journey to AI blog

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

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Alation

AUGUST 9, 2021

This is hardly an ideal workflow and the data on which this story is based is out of date the moment the screenshot is taken or the data is extracted from the cloud data warehouse. See how a data catalog empowers more people to join the data conversation. Sign up for a weekly demo today.

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ODSC - Open Data Science

JUNE 7, 2023

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? Where does it go? And if you’re interested in learning more, well we have great news!

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ODSC - Open Data Science

MAY 29, 2023

At ODSC Europe this June 14th and 15th, you can learn about these developments through the demo talks mentioned below. By unifying each layer of the data stack, TimeXtender empowers you to build data solutions 10x faster, while reducing your costs by 70%-80%. Ask the Experts! Sign up to check out these sessions for free!

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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. Architectures became fabrics.

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IBM Journey to AI blog

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

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Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Salesforce Data Cloud for Tableau solves those challenges.

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Tableau Data Warehouse Data Pipeline Data Visualization 55

Smart Data Collective

JULY 22, 2019

Looker is a data-discovery BI tool that helps companies of different scales find the best business solutions thanks to real-time data access. It can analyze practically any size of data. Its analytics can integrate with different SQL databases and different data warehouses. Yellowfin BI.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Guardium® Data Protection empowers security teams to safeguard sensitive data through discovery and classification, data activity monitoring, vulnerability assessments and advanced threat detection.

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phData

MARCH 1, 2024

This process introduces considerable time and effort into the overall data ingestion workflow, delaying the availability of data to end consumers. Fortunately, the client has opted for Snowflake Data Cloud as their target data warehouse. The Snowflake account is set up with a demo database and schema to load data.

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Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

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Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

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Alation

MAY 24, 2022

The ability to quickly drill down to relevant data and make bulk changes saves stewards the time and headache of doing it manually, one by one. For example, a data steward can filter all data by ‘“endorsed data’” in a Snowflake data warehouse, tagged with ‘bank account’. Book a demo today.

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IBM Journey to AI blog

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. Request a live demo here to see Presto and watsonx.data in action Try watsonx.data for free 1 Uber.

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Data Lakes Analytics Analytics Clustering 102

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.

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Snorkel AI

MAY 26, 2023

It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And finally, you’ll see that in action today.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And finally, you’ll see that in action today.

SQL 52

SQL ML ML Python 52

IBM Journey to AI blog

MARCH 14, 2024

  Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads. . With

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AWS Database ETL AI 93

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. We have loaded this data into an input table named – TEXT_INPUT as a VARCHAR column named TEXTDATA in Snowflake.

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Python Database SQL Machine Learning 52

Iguazio

JANUARY 22, 2024

Demo: How to Build a Smart GenAI Call Center App How we used LLMs to turn call center conversation audio files of customers and agents into valuable data in a single workflow orchestrated by MLRun. The data pipeline - Takes the data from different sources (document, databases, online, data warehouses, etc.),

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Alation

SEPTEMBER 7, 2021

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. However, most stewards soon realize that this is not scalable. Two problems arise.

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Data Governance Data Scientist Data Quality Data Profiling 59

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Get the latest data cataloging news and trends in your inbox.

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