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SpiralData
SpiralData

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Sep 13

Decision advantage — IOT²AI Platform Release 2.2

As our IoT²AIML technology platform continues to mature, version 2.2 provides users with an even better user experience and data decision-making efficiencies. …

IoT

3 min read

Decision advantage — IOT²AI Platform Release 2.2
Decision advantage — IOT²AI Platform Release 2.2
IoT

3 min read


Sep 13

Securing AI/ML Solutions: The Power of the Pentest

In today’s digital age, AI and machine learning systems play a crucial role in decision-making. Ensuring the security of these systems is non-negotiable. But how can we measure our security’s effectiveness? Enter pentests. A penetration test, or pentest, is a cyberattack simulation carried out by ethical hackers. It’s akin to…

Pentesting

2 min read

Securing AI/ML Solutions: The Power of the Pentest
Securing AI/ML Solutions: The Power of the Pentest
Pentesting

2 min read


Aug 9

Exploration and empowerment at the edge.

Harnessing AI and ML decision advantage in offline and edge environments using Spiral Data’s IOT/AIML platform — AI Briefcase. In this extended overview, we outline the use cases and opportunities where a disconnected or edge device with AI ML capabilities will be of greatest benefit to an organisation. There is something inherently thrilling about what can take place within private networks and computing at the edge, which speaks to…

AI

6 min read

Exploration and empowerment at the edge.
Exploration and empowerment at the edge.
AI

6 min read


Aug 9

Cutting ‘edge’ — the technology powering our AI Briefcase

How we made our AI Briefcase a reality for disconnected, secure and edge scenarios. Spiral Data’s Chief Technical Officer, Chris Jansz, details the process to date. Spiral Data’s IoT to AI/ML platform has matured in the cloud through several years of feature development, user experience optimisation and processing complexity enhancements…

Edge Computing

5 min read

Cutting ‘edge’ — the technology powering our AI Briefcase
Cutting ‘edge’ — the technology powering our AI Briefcase
Edge Computing

5 min read


Jul 3

‘How I wrote a Machine Learning function using GPT4 that cut my MLOps time in HALF’

In my role as Chief Data Scientist for Spiral Data Group, we’re handling massive time series data sets ) which are used to identify, remediate and innovate within a defined use case. A perfect example is transient detection patterns across a water utility’s vast pipe network. …

Mlops

4 min read

‘How I wrote a Machine Learning function using GPT4 that cut my MLOps time in HALF’
‘How I wrote a Machine Learning function using GPT4 that cut my MLOps time in HALF’
Mlops

4 min read


Jun 6

Getting to ‘Ground Truth’ quicker

How Spiral Data adapted its Machine Learning data labelling pipeline to reduce time spent labelling by over 90% (and increase client satisfaction!). You can read more about our AI/ML data platform here. We can draw a direct correlation between the number of data projects that Spiral Data has completed and…

Machine Learning

3 min read

Getting to ‘Ground Truth’ quicker
Getting to ‘Ground Truth’ quicker
Machine Learning

3 min read


Mar 20

The difference is obvious — Effective big data visualisation

As Spiral Data’s AI/ML platform matures, we explore the importance of the right tooling in order to execute well. In this instance, our data visualisation toolset. “We observed a browser struggle to render over 600,000 data points… Before it crashed. …

Big Data

4 min read

The difference is obvious — Effective big data visualisation
The difference is obvious — Effective big data visualisation
Big Data

4 min read


Published in

CodeX

·Aug 5, 2022

IoT to AIML infrastructure-as-code. Deployment from 3 weeks to 3 hrs!

In today’s article, we will take you through the journey of our infrastructure deployment process where (as the title mentions) we went from 3 weeks to 3 days to 3 hours to deploy using AWS Service Catalog. …

Infrastructure As Code

5 min read

IoT to AIML infrastructure-as-code. Deployment from 3 weeks to 3 hrs!
IoT to AIML infrastructure-as-code. Deployment from 3 weeks to 3 hrs!
Infrastructure As Code

5 min read


May 30, 2022

Acoustic machine learning series: Recorded sounds into AI/ML algorithms

This article focuses on providing an entry-level understanding of what and how acoustics (recorded sounds) can be used for machine learning to identify defects, improve efficiency and reduce cost. More and more businesses are relying on artificial intelligence and machine learning (AI/ML) for identifying defects and predicting failure points. This…

Machine Learning

3 min read

Acoustic machine learning series: Recorded sounds into AI/ML algorithms
Acoustic machine learning series: Recorded sounds into AI/ML algorithms
Machine Learning

3 min read


Feb 11, 2022

IoT to ML Reference Architecture — Updated v1.1

Recap The IoT to ML Reference Architecture helps reduce implementation time and cost and implements best practices. The modularised setup of the architecture allows us to customise solutions to best fit our customers’ requirements. The updates It’s been a while since we released v1.0 of the IoT to ML Reference Architecture and since…

Artificial Intelligence

4 min read

IoT to ML Reference Architecture — Updated v1.1
IoT to ML Reference Architecture — Updated v1.1
Artificial Intelligence

4 min read

SpiralData

SpiralData

9 Followers

Creating smarter organisations… using AIML.

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