Synapse - Africa’s 4IR Trade & Innovation Magazine - 3rd Quarter 2021 Issue 13 (Show Edition)

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ADVERTORIAL

AIZATRON’S AIDAS

Platform Delivers an AI Driven Data Analytics Platform at a Fraction of the Cost of Traditional Approaches

D

ata is everywhere, where every modern system now produces data. By combining and interpreting data, we create information. From the early 1970’s to the mid 2010’s we saw the rise of the Information Economy which has now lead to the Digital Economy. In the Digital economy, the scale and complexity created by a connected world makes existing Data Analytics systems ineffective. Companies that have the ability to process Petabytes of internal and external human and machine data, from internal and external sources, while rapidly translating this into business knowledge, that results in automated business action, are the ones that will survive and thrive. Current internal BI and data analytical teams cannot meet the growing demand by business who are increasingly coming under treat from emerging competitors who can process data faster than they can – giving them a competitive advantage. Hence, Aizatron developed the Artificial Intelligent Data Analytics as a Service (AIDAS) platform to address these problems.

In analysing the solution, Aizatron realised that most businesses will have to reinvest Millions of Rands into building such a system and those large businesses that have invested into building data lakes and massive data warehouses have largely failed due to the following reasons: They are using old technology. The world has pivoted during the last 5 years and without embracing a more modern approach, these businesses will continue to burn millions of dollars without seeing the results. The vendor has convinced them that if they buy the latest technology they will be able to have a full blown AI data analytics

platform. What the vendors does not tell them is that there is a huge cost to deploying the solution. Also, the skills needed for that platform is very scarce and the customer will have to pay high dollar rates for the services. The hardware provided is not enough to process high speed data processing and it cannot scale when required. The system is also still based on old technologies like day-end and month-end runs to create information cubes from multiple data sources. Users have to wait for the BI team to deliver the results in 2 to 3 weeks later rather than having their own dashboard and interface where they can produce their own queries and results sets in realtime/near-real-time. Systems are built around reactive analytics addressing problems to late. The ability to do predictive modelling for future insights is limited or takes too long. Hence, with these challenges in mind AIDAS enables any business irrespective of size to have a quick-to-implement, lower risk complete Data Analytics Platform. Combined with the resources and hardware AIDAS will instantly begin delivering value to the business at a fraction of the cost of internally built platforms. AIDAS is a cloud-based, multi-tenant Data Analytics Platform solution currently deployed on the Aizatron AWS VPC. It quickly enables customers to implement a modern Data Analytics Platform at a fraction of cost of traditional solutions. Aizatron has decades of experience in deployment of high speed data analytics solutions for the some of the largest Telcos in South Africa. The customers will only pay for what they need, i.e. the AIDAS platform uses a simple formula based on usage of the system.

AIDAS includes the following: 1. The Aizatron Data Analytics System in the Cloud Analytics Database Artificial Intelligent & Machine Learning Toolkits Data Integration Interfaces into platforms such as SAP, Hadoop, Cloudera, Oracle, Microsoft & various OSS and BSS systems Financial Controls Compliance modules API Gateways to enable Secure API integration Secure Interfaces to third parties & Streaming Social Media Platforms Secure Dashboard & Reporting Interfaces

2. A Full Managed Services Team Full Team that does Design, Implementation, support & ongoing enhancement of the solution Resource Roles includes, Solutions Architect, Business Analysts, Developers, Data Scientists, AI Programmers

3. All Reports, Ad Hoc Investigations, Dashboards & Automated Controls Work with Customer BI, operations, Management and audit teams to produce Reports, Dashboards & assist with Investigations Provide Ad Hoc reports and query support for BI and business operational requirements Build Automated Alerting which can be used to initiate automated business flows Provide Executive dashboards Provide external/3rd party dashboards and reports via secure access using Microsoft security settings. This platform can also be deployed under licence on a customer’s virtual private cloud environment which could be on AWS or Azure.

The AIDAS platform currently processes the following types of data: Internal OSS and BSS systems data that is both human and machine generated. Data from social media such as Twitter, Facebook, LinkedIn, etc. External sources such as open data sources and government sources, 3rd Parties such as Credit Bureaus. IOT systems, such as cameras, access control systems, sensors, etc.

26

SYNAPSE | 3RD QUARTER 2021


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EXPLORING AI AT SCALE

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NVIDIA Features Tools, Training and Education for African

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AI: The Future of Testing

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