Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Sisense

OCTOBER 6, 2020

These techniques allow you to: See trends and relationships among factors so you can identify operational areas that can be optimized Compare your data against hypotheses and assumptions to show how decisions might affect your organization Anticipate risk and uncertainty via mathematically modeling.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. The answer is that generative AI leverages recent advances in foundation models.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers use Redshift ML to run an average of over 10 billion predictions a day within their data warehouses.

Data Warehouse 105

Data Warehouse Data Lake Analytics Machine Learning 105

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven 77

Data-driven Data Architecture Predictive Modeling Digital Transformation 77

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

IBM Big Data Hub

DECEMBER 20, 2023

The hybrid multicloud model Today most enterprise businesses rely on a hybrid multicloud environment. Evaluate overall costs Bear in mind that cloud service providers offer different pricing models and service levels to help you align cloud IT resources and costs with application needs and business value.

Strategy 105

Strategy Cost-Benefit Digital Transformation Optimization 105

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 96

Data Analytics Analytics Data Warehouse Data Lake 96

AWS Big Data

SEPTEMBER 29, 2023

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. The row tag is an array that contains a set of another row tags, which provide information about a vehicle, including its make, model, and other relevant details. xml and technique2.xml.

Metadata 70

Metadata Visualization Data-driven Optimization 70

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Carrying Massive Changes for Healthcare Organizations.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

BI-Survey

FEBRUARY 14, 2022

Many companies have already invested in better data management, responding to the challenge of having many source systems – even if this struggle sometimes seems similar to that of Sisyphus. Automate forecasts and projections with predictive methods (statistical methods or machine learning). Think beyond finance.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Sisense

DECEMBER 11, 2019

Quoting Keystone Research, he opened with the finding that: Companies who use data effectively have 18% higher gross margins and 4% higher operating margins Keystone Research. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Ontotext

AUGUST 4, 2023

This logical data architecture is designed to help organizations deal with growing volumes of data, spanning data silos with seamless connectivity and a knowledge layer. Using metadata, machine learning (ML), and automation, a data fabric provides a unified view of enterprise data across data formats and locations.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

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 68

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 68

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Get the latest data cataloging news and trends in your inbox.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

CIO Business Intelligence

NOVEMBER 14, 2022

While many organizations still struggle to get started, the most innovative organizations are using modern analytics to improve business outcomes, deliver personalized experiences, monetize data as an asset, and prepare for the unexpected. Don’t just lift and shift with the old design principles that caused today’s bottlenecks.

Analytics 107

Analytics Machine Learning Testing Data Strategy 107

CIO Business Intelligence

APRIL 30, 2024

Tableau says a user working in hospitality could click “Draft with Einstein” for data about travel. The copilot would then use the data source’s metadata and field names to provide a detailed description of the data, enabling other analysts to more easily reference the insights.

Analytics 84

Analytics Metrics Visualization Dashboards 84

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. The work of data science is more tied to machine learning and so AI and those projects do not focus only on analysis but also automation.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52