optimised presents a real challenge at scale when you ’ ve got tens of thousands of processes running on a daily basis that have interdependence – if one fails , human intervention has to apply , so you need the skillset to recover from that ,” he says . “ Cloud and serverless simplifies the process and complexity while reducing the cost , because not every company has access to machine learning and data scientists who can build groundbreaking algorithms and stitch them together .”
Talend works with traditional business customers such as building merchants and pizza companies like Domino ’ s , keen to explore new processes . Image recognition of inventory is not commonplace among those delivering bricks and pizza , but Dynes believes companies can learn from the likes Microsoft and Amazon . “ Developments like image recognition and voice recognition through Alexa and Apple ’ s Siri are services with many untapped applications . And if they ’ re offered via the cloud , traditional companies can easily leverage the opportunities they provide . By photographing the inventory in warehouses , image recognition can immediately show how many units of a particular item is in stock and have a real impact on customer experience .”
Talend works with other software and cloud vendors , which allows the introduction of system integrators to build on top of what it does or combine it with other vendors to deliver new solutions to the market . “ In the UK , we work closely with Datalytyx delivering expertise in big data and how you
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