DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Acquired by DataRobot June 2019).

Testing 300

Testing Machine Learning Consulting Data Quality 300

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data-driven 82

Data-driven Enterprise Data Governance Unstructured Data 82

bridgei2i

MAY 7, 2019

The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Barclays is one such financial major that uses Apple iPhone’s personal assistant, Siri for quick payments and money transfers.

IoT 40

IoT Unstructured Data Finance Data-driven 40

CIO Business Intelligence

JUNE 29, 2022

Taking the broadest possible interpretation of data analytics , Azure offers more than a dozen services — and that’s before you include Power BI, with its AI-powered analysis and new datamart option , or governance-oriented approaches such as Microsoft Purview. Azure Data Factory. You don’t need to know anything about how to be a DBA.

Data Lake 113

Data Lake Analytics Data Warehouse Machine Learning 113

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 109

Visualization Machine Learning Dashboards Data Warehouse 109

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 2018: IoT and edge computing open up new opportunities for organizations. Google announces Cloud IoT.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 88

Data-driven Data Lake Data Warehouse Cost-Benefit 88

datapine

NOVEMBER 19, 2019

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. AI is undoubtedly one of the most prominent 2020 buzzwords to look out for.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Analytics 94

Analytics Unstructured Data IoT Visualization 94

Sisense

JULY 23, 2021

“While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

JUNE 28, 2022

For example, they may not be easy to apply or simple to comprehend but thanks to bench scientists and mathematicians alike, companies now have a range of logistical frameworks for analyzing data and coming to conclusions. More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis.

Management 136

Management Internet of Things Statistics Data-driven 136

AWS Big Data

FEBRUARY 21, 2023

Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues. What is a dimensional data model?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Data Insight

OCTOBER 27, 2021

Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data. Getting started with AI.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

bridgei2i

OCTOBER 7, 2020

Importance of capturing market data for optimized pricing models. Underwriting essentially means evaluating the risk proposition of an insurance cover and determining how much an insurer should charge for the same by studying historical data and statistical models. if all the information is provided by client or not).

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. connected cars, cities, wearables, phones, etc.).

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Cloudera

OCTOBER 7, 2021

The need for a decentralized data mesh architecture stems from the challenges organizations faced when implementing more centralized data management architectures – challenges that can attributed to both technology (e.g., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

MAY 17, 2023

The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 80

Data Collection Visualization Data-driven Unstructured Data 80