FEATURE : IOT AND ML
innovation is the development of long range and low powered wireless technologies , which are great for IOT applications ,” says Talal Shaikh , Associate Professor , Director of Undergraduate Studies for the School of Mathematical and Computer Sciences , Heriot-Watt University Dubai .
NATURAL LANGUAGE PROCESSING IS ANOTHER AREA WHERE IOT AND MACHINE LEARNING ARE INTERSECTING .
By the end of 2023 , Gartner predicts that more than half of large enterprises will have at least six edge computing use cases deployed , which is a significant increase compared to just 1 % in 2019 . Another innovation is the use of machine learning algorithms to predict when equipment will fail .
By analysing data from sensors on machines and applying machine learning models , companies can identify potential issues before they become major problems , allowing them to perform maintenance proactively and avoid costly downtime .
In terms of Intelligent Automation , the solution can be deployed on-premises and edge computing can be used to optimise the processing of data which reduces the need for cloud-based processing .
The implementation services include process discovery workshops , data gathering , process analysis , solution design and process development . Ultimately , PROVEN Consult offers ongoing support and maintenance to ensure that the solution continues to meet the needs of the customer as their business continue to evolve .
NetApp is driving innovation by harnessing advanced AI and ML technologies in its flagship products such as ONTAP AI , NetApp Data Science Toolkit and Trident , providing converged infrastructure and dynamic storage provisioners to simplify the deployment and management of containerised ML workloads . NetApp is also leveraging its expertise in cloud computing to offer cloud-based data management solutions , such as NetApp Cloud Volumes , a fully managed cloud storage service that enables secure data transfer to and from the cloud .
“ Additionally , NetApp invests in consolidation efforts to streamline IT operations and workflows , resulting in reduced complexity and costs . The NetApp Data Fabric platform consolidates and manages data across multiple environments , enabling organisations to unleash the full potential of their data ,” says Walid Issa , Senior Manager Solutions Engineering MEA , NetApp .
Natural language processing is another area where IoT and machine learning are intersecting . Voice assistants like Amazon ’ s Alexa and Google Home use machine learning algorithms to understand and respond to user queries , and this technology is being applied to other applications like chatbots and customer service automation .
“ The Intelligent Automation industry is rapidly evolving . Currently , the company is exploring the potential of cloud-based automation solutions to offer greater scalability and flexibility to its customers ,” says Anas A Abdul-Haiy , Director and Deputy CEO at PROVEN Consult .
“ PROVEN Consult bundles its Intelligent Automation solutions with consulting , implementation , and support services . This approach allows PROVEN Consult to support new enterprise customers quickly integrate the solutions provided into their existing business operations . The company utilises ML tools such as Process Mining to identify potential processes to be automated that provide the most valuable business impact ,” adds Abdul-Haiy .
NetApp typically bundles its solutions as part of a comprehensive data management package , which can be tailored to the specific needs of new enterprises . This bundle includes storage hardware and software , networking equipment , and compute resources to support AI and ML workloads . Implementation involves a consultative approach that assesses the customer ’ s current environment , identifies areas for improvement , and provides customised solutions that align with their business objectives .
Go to market
Zebra ’ s CTO AI research team is conducting research and takes part in computer vision competitions and academic cooperation . The team came second out of 650 teams in the prestigious CVPR 2022 Challenge sponsored by the Alibaba Group and Trax . The challenge involved working on a large-scale multimodal retail dataset of around five million imagecaption pairs of circa 100,000 products .
Each team was tasked with finding the top-K product candidates to match a query such as ‘ blue men ’ s
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