CIO Business Intelligence

NOVEMBER 4, 2022

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. Much of Regeneron’s data, of course, is confidential. That’s hard to do when you have 30 years of data.”

Data Lake 124

Data Lake IT Experimentation Data-driven 124

AWS Big Data

JUNE 20, 2023

It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. About the Authors Vivek Gautam is a Data Architect with specialization in data lakes at AWS Professional Services.

Data Lake 102

Data Lake Data Science Recreation/Entertainment Data-driven 102

CIO Business Intelligence

JULY 31, 2024

With this platform, Salesforce seeks to help organizations apply the cleverness of LLMs to the customer data they have squirreled away in Salesforce data lakes in the hopes of selling more. Salesforce is pushing the idea that Einstein 1 is a vehicle for experimentation and iteration. The data is there.

Data Lake 119

Data Lake IT Sales Experimentation 119

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

SEPTEMBER 6, 2023

The use of AI-generated code is still in an experimental phase for many organizations due to numerous uncertainties such as its impact on security, data privacy, copyright, and more. For example, litigation has surfaced against companies for training AI tools using data lakes with thousands of unlicensed works.

Software 119

Software Risk Experimentation Data Lake 119

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. This is where the tagging feature in Apache Iceberg comes in handy.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

CIO Business Intelligence

MAY 23, 2022

For many nascent AI projects in the prototyping and experimentation phase, the cloud works just fine. But companies often discover that as data sets grow in volume and AI model complexity increases, the escalating cost of compute cycles, data movement, and storage can spiral out of control.

Cost-Benefit 98

Cost-Benefit Experimentation Data Lake Deep Learning 98

CIO Business Intelligence

OCTOBER 1, 2022

“Accessing this level of data, at scale, is rare within the consumer goods industry,” Cretella says. Data and AI as digital fundamentals. It has moved past what Cretella calls the “experimentation phase” with scaled solutions and increasingly sophisticated AI applications.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

MAY 12, 2022

A free plan allows experimentation. A generous free tier makes it possible to experiment. Anyone who works in manufacturing knows SAP software. Its databases track our goods at all stages along the supply chain. Basic plans start at $36 per user, per month. More capable plans with more automation and integration available from the sales team.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

DataKitchen

JANUARY 17, 2022

If data is sequestered in access-controlled data islands, the process hub can enable access. Operational systems may be configured with live orchestrated feeds flowing into a data lake under the control of business analysts and other self-service users. Data is not static. Figure 1: A DataOps Process Hub.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

AWS Big Data

JANUARY 24, 2023

The utility for cloning and experimentation is available in the open-sourced GitHub repository. This solution only replicates metadata in the Data Catalog, not the actual underlying data. This ensures that the data lake will still be functional in another Region if Lake Formation has an availability issue.

Data Architecture 93

Data Architecture Metadata Data Lake Snapshot 93

CIO Business Intelligence

DECEMBER 6, 2023

We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says.

Manufacturing 97

Manufacturing Data Lake Machine Learning Digital Transformation 97

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

AWS Big Data

FEBRUARY 12, 2024

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Moreover, no separate effort is required to process historical data versus live streaming data. Apart from incremental analytics, Redshift simplifies a lot of operational aspects.

Analytics 118

Analytics Data Warehouse Snapshot Cost-Benefit 118

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

Cloudera

DECEMBER 13, 2022

Workflows become so cumbersome that projects never make it past pilot and most importantly, data scientists’ ML models rarely emerge from experimentation to operation. . Operationalize ML with the Cloudera Data Platform. All with the integrated security and governance technologies required for compliance.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

CIO Business Intelligence

APRIL 6, 2022

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

OCTOBER 18, 2023

Yet, the intense focus on gen AI has only accelerated experimentation for CIOs and vendors, including Musk, whose xAI will reportedly enter the AI arms race. Lastly, we tapped into our data lake to enrich and tailor specific customer emails to drive the conviction of our products and ultimately increased sales.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

JULY 17, 2023

Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics. How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals?

IT 98

IT Digital Transformation IoT Internet of Things 98

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 118

Metadata Data Lake Publishing Data Governance 118

AWS Big Data

JULY 8, 2024

In every Apache Flink release, there are exciting new experimental features. Francisco collaborates closely with AWS customers to build scalable streaming data solutions and advanced streaming data lakes, ensuring seamless data processing and real-time insights. Connectors With the release of version 1.19.1,

Management 114

Management Snapshot Dashboards Consulting 114

Domino Data Lab

JANUARY 11, 2021

Snowflake is a solution for data warehousing, data lakes, and data application development and specializes in securely sharing and consuming data. About Domino Data Lab. Domino Data Lab is the system-of-record for enterprise data science teams.

Data Science 103

Data Science Recreation/Entertainment Data Warehouse Publishing 103

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. Customers can build, run, and manage applications across multiple clouds, on-premises, and at the edge, with the tools of their choice.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Cloudera

JANUARY 11, 2021

In a multi-tenant environment, many users need to access the same data sources. Experimental and production workloads access the same data without users impacting each others’ SLAs. Cloudera Data Warehouse has two high-performance, massively parallel processing (MPP) query engines — Impala and Hive LLAP. High performance.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Machine Learning 63

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Real-time streaming data technologies are essential for digital transformation.

IoT 58

IoT Data-driven Data Lake Data Strategy 58

AWS Big Data

MARCH 20, 2023

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

NOVEMBER 11, 2024

Kubota has projects across these pillars in various stages of maturity, with some already live and some still in experimentation. He points to data cleanliness as a major challenge in this workflow. Kakkar’s litmus test for pursuing a project depends on whether it has a clear purpose, goal, and measurable objectives.

IoT 110

IoT Experimentation Dashboards Data Lake 110

AWS Big Data

MAY 9, 2025

As data use cases become more complex, data engineering teams require sophisticated tooling to handle versioning, increasing data volumes, and schema changes across multiple data sources and applications.

Snapshot 89

Snapshot Analytics Data-driven Data Processing 89

CIO Business Intelligence

MAY 6, 2025

Customer data in Salesforce, product usage data in Snowflake and financials in Oracle none integrated Regional systems using different naming conventions and field formats This fragmentation leads to inconsistent definitions, duplication of work and multiple versions of the truth. Thats a missed opportunity.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78