CIO Business Intelligence

SEPTEMBER 6, 2023

Since ChatGPT’s release in November of 2022, there have been countless conversations on the impact of similar large language models. 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.

Software 112

Software Experimentation Risk Data Lake 112

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

MAY 23, 2022

Because it’s common for enterprise software development to leverage cloud environments, many IT groups assume that this infrastructure approach will succeed as well for AI model training. For many nascent AI projects in the prototyping and experimentation phase, the cloud works just fine.

Cost-Benefit 80

Cost-Benefit Experimentation Data Lake Deep Learning 80

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

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 86

Snapshot Data Lake Testing Strategy 86

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. It lands as raw data in HDFS.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

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 59

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 59

CIO Business Intelligence

MAY 12, 2022

Driverless AI offers automated pipeline; AI adapts to incoming data. Drag-and-drop Modeler for creating pipelines, IBM integrations. Full IDE for data scientists, automation for non-coding users, drag-and-drop designer. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights.

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 Marketing Predictive Modeling 130

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 142

Manufacturing Digital Transformation IoT Internet of Things 142

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. 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.

Digital Transformation 79

Digital Transformation Cost-Benefit Informatics Data mining 79

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

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. Amazon Kinesis Data Streams is a foundational data strategy pillar for tens of thousands of customers.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. Snap, LexisNexis, and Lonely Planet are also developing and training LLM models, each leveraging their own data stored on AWS. “We

Risk 129

Risk Manufacturing Enterprise Technology 129

CIO Business Intelligence

APRIL 6, 2022

The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus. This model helps iterate rapid innovation, failing fast and learning from those failures by sourcing direct feedback from end users.

Experimentation 75

Experimentation Data Lake Uncertainty Enterprise 75

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 102

Metadata Data Lake Publishing Data Governance 102

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Writing data from Domino into Snowflake.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

Cloudera

JANUARY 11, 2021

We have this new data set, actually it is sensor data. And we want to model it quickly with some historic customer usage data…and oh yeah, it should be about 100TB, per day.”. Key features are: Highly scalable and performant open-source engines for BI and data warehousing workloads. Modern architecture.

Data Warehouse 62

Data Warehouse Data Lake Cost-Benefit Machine Learning 62

AWS Big Data

MARCH 20, 2023

Personalized recommendations – User behavior based on clickstream events can be captured up to the last second before enriching it for personalization and sending it to the model to predict the recommendations. The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

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

Corinium

APRIL 25, 2019

Then you can be more confident you’re protecting that data in the right way, in the right places, via protection policies that keep it safe without getting in the way of the business getting value from that data. In data-driven organizations, data is flowing. The protection policy follows the data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150