CIO Business Intelligence

APRIL 6, 2022

Enterprises are increasingly moving towards bringing together a human-centric experience with innovations led by cutting-edge technologies. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation. Navigate Your Next Innovation.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 96

Internet of Things Data Lake Uncertainty IoT 96

CIO Business Intelligence

JULY 12, 2023

Given this, we’re flexing our digital muscle across the enterprise and doubling down on AI to generate additional benefits for our business and our consumers. A massive amount of data is already collected from sensors across all processes and from all supply chain partners. This allows us to use AI in a multitude of fashions.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Sisense

JUNE 12, 2019

In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. Everyone is adding “Data” to their title. From Data to Data-Powered Apps. Our investment in AI is paying off in spades.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. AI/Automation 6. IT Vendor 3.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. Storing data is extremely expensive even with VMs during this time. Google announces Cloud IoT. billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Alation

JULY 7, 2022

With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. Two data-driven careers. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. But how did we arrive here?

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

FEBRUARY 21, 2023

Because data is closer to the source and stored in raw format, it has to be transformed before it can be used for reporting and other application purposes. This is one of the biggest hurdles with the data vault approach. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric?

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44