The Decision Advantage. Data team gains via IOT2AI Platform Release 2.2

In this month’s ‘IOT2AI Platform’ focused edition:?

• Latest feature-rich release of IOT2AI Platform platform
• Efficiency gains for IOT2AI via Common Data Model?
• Pentesting rigour increases AIML security
• Learnings from using Python to solve Water Utility problems
• Add your view to Copyright and Generative AI commentary

Decision Advantage. Data team gains through IOT2AI Platform release 2.2

Regular readers of Data Digest will recall we introduced AI Briefcase, our disconnected, edge device for IOT to AIML data decisioning, last month. So, it’s fitting that we turn to its connected, cloud-based sibling this edition. Especially as version 2.2 of our IOT2AI Platform has just landed.?

IOT2AI Platform is a multi-module web application that provides a user-friendly solution for data decisioning via an intuitive interface. Making the enormous problem-solving power of Internet of Things (IoT) to AIML tooling accessible to data science and engineering teams.

Several years ago Spiral Data identified that large organisations which are asset-rich with complex processes tend to suffer from a lag in reaching decisions and solving problems. Most often, technology was lacking, especially when handling vast amounts of data, at great cost to the organisations.

IOT2AI Platform was developed for removing this roadblock.

Now, teams have the capability of:?

• Using Ready To Go AIML Tooling without the need for additional infrastructure
• End to End AIML ingestion, processing, modelling and interpretation of Big Data
• Building scalable AIML solutions appropriate to their organisation’s problems

Proven in the field, the platform is used by teams to detect and predict anomalies in their organisation’s infrastructure across thousands of kilometres of varying terrain and real-world scenarios. This full-stack platform gives data scientists the versatility they need to identify operational efficiencies through cloud-connectivity.

The latest suite of updates to the platform enhances the data visualisation UI, adds a fullstack workbench module for development teams to create, build and train their own ML models, and includes a Common Data Model (CDM) for data ingestion efficiency.?

What would your organisation do with this decision advantage?

Learn more about the key updates to IOT2AI Platform

Efficiency-first: Common Data Model comes to? IOT2AI

Focus on gains in new release of Spiral Data’s IOT2AI Platform?

Hot on the heels of the launch of AI Briefcase (see last month’s Data Digest) comes a new release of our IOT2AI Platform. As ever, we’re looking to reduce complexity in the processing and synthesis of data. So, a Common Data Model (CDM) is an exciting addition to the feature stack!?

Chris Jansz, Chief Technology Officer at Spiral Data, explains the gains: “With data scale and scope ever-increasing, we’re standardising the structure mapping of data ingestion. Regardless of what column structure a customer provides, our CDM validates, checks and cleans the data accordingly. This reduces onboarding time for new data and increases the data types that Cloud AI platform can handle, which is a win-win.”

There are big benefits to CDM use in machine learning and insight analytics too…

Read the full story to learn more

Hello, Adelaide! Sharing Water Utility learnings at PyCon

Our Chief Data Scientist presented key insights at PyCon Adelaide in August

Ram Balanchandran, Spiral Data’s Chief Data Scientist, is no stranger to sharing his knowledge and experience. In his recent presentation at PyCon Adelaide, entitled ‘From Data to Decision: Monitoring and Improving Water Networks using AI-ML’, Ram highlighted the importance of Python as the main development language of our AI platform and solutions.?

“Without access to the tools and libraries across all areas of data science, Water Utilities would be so far behind in their decisioning and problem-solving. Python is a massive enabler of this.” The presentation shared examples of organisational efficiency gains through interpreting complex data sets at scale.

The preemptive benefits of Pentesting

Penetration testing of IOT2AI Platform reveals AWS security concern

Handling and processing massive datasets requires security diligence, especially when that data relates to critical infrastructure. Our team ensures our IOT2AI Platform and AI Briefcase platforms maintain up to date security compliance through rigorous external Pentesting (penetration testing).?

We recently exposed a security issue relating to default settings in AWS Cognito, which is now documented within the AWS Community as a critical setting to screen at deployment. Further proof of our commitment to our clients data integrity and the AIML development community.

Read more

Snippets & Shortcuts

Our team’s pick of the talking points from the Industry 4.0 headlines.

AWS spotlights Spiral Data as a leader in Public Sector AI/ML enablement

Drill into Australia Energy Market Operator (AEMO) forecasting datasets, what opportunities sync into the drive towards Net Zero?

Copyright and generative AI under legislative scrutiny – US Copyright Office welcomes commentary on a subject causing complexity since 1965.

Realising the massive potential of IoT to AIML in your organisation??

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