erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Cloudera

DECEMBER 14, 2022

OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project. Real-time data analysis for better business and customer solutions. The partnership has enabled OCBC to better store, manage and harness the power of our data.”.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

APRIL 27, 2022

Beyond choosing the right technology, strong IAM requires a solid infrastructure, with a strategy and a roadmap. While a strategy and a roadmap are instrumental, they must be accompanied by a governance model led by a steering committee that champions the voice of the customer. Aim for infrastructure with governance .

Management 52

Management Risk Contextual Data Cost-Benefit 52