O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. IoT Artificial Intelligence. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. AI and Marketing (slide): [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Smart Data Collective

OCTOBER 26, 2023

Specialists in cybersecurity help in taking appropriate precautions to secure sensitive data and individual privacy in the modern digital environment. Machine learning algorithms can adapt and improve over time, enabling them to recognize new, previously unseen attack patterns. How to become a cybersecurity specialist?

Technology 93

Technology Risk Measurement IoT 93

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Flexible pricing options, including self-hosted and cloud-based plans, accommodate businesses of all sizes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

datapine

AUGUST 20, 2019

Data Size: It implies the volume of data which is generated from various sources. Data Format: Data can have many formats, structured, semi-structured, & unstructured. Challenges of Data Ingestion. With the rapid increase in the number of IoT devices, volume and variance of data sources have magnified.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Smart Data Collective

SEPTEMBER 26, 2019

Data Integration. Data integration is key for any business looking to keep abreast with the ever-changing technology landscape. As a result, companies are heavily investing in creating customized software, which calls for data integration. Real-Time Data Processing and Delivery. Final Thoughts.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56