Oracle Outlines Full Scope of IoT Ambitions
Oracle this week at Oracle Modern Finance 2018 conference took the wraps off new capabilities intended to further the company’s Internet of Things (IoT) ambitions, including “digital twin" capabilities infused with augmented reality software and the ability to automate the application of machine learning algorithms.
The goal is ultimately position Oracle as an end-to-end provider of the technologies required to drive digital business transformations that extend all the way to the IoT edge under an Industry 4.0 portfolio of products and services, says Atul Mahamuni, vice president of IOT SaaS Applications, Digital Twin, and IoT Analytics at Oracle.
Rather than requiring organizations to engage multiple vendors that would require them to stitch multiple piece parts together on their own, Mahamuni says Oracle plans to leverage its footprint delivering enterprise applications spanning everything from manufacturing and transportation into the realm of IoT. For example, Oracle is in the middle of applying AI based on a common set of machine and deep learning algorithms across its application portfolio, including finance applications. To facilitate the management of all the data, Oracle this week also unfurled Oracle Enterprise Data Management Cloud, a service through which organizations can centrally manage data as its created across the Oracle cloud application portfolio.
When it comes to digital business transformation and IoT the size of the vendor engaged has never been more relevant, says Mahamuni. IoT projects especially require a level of distributed computing expertise to enable processing and analytics everywhere from the edge to the cloud, says Mahamuni. The number of vendors that can provide those capabilities in a way that also leverage existing enterprise applications is very small, adds Mahamuni.
The scale of these projects is also increasing the number of decision makers that need to be engaged. Beyond traditional IT and line of business executives, there are whole cadres of operational technology specialists involved. Those individuals don’t typically have access to the skills required to infuse AI into operations, so partnering with a company that can automate the application of machine learning algorithms becomes critical, adds Mahamuni.
“It’s extremely difficult for those people to hire data scientists and programmers,” says Mahamuni.
Oracle, of course, will not only go head to head against traditional rivals such as SAP to provide these services, but also companies such as PTC, GE, and Siemens. In some cases, there will be opportunities for Oracle to partner with those companies, while in other segments such as analytics competition is likely to be fierce. In fact, there may come a day a reckoning soon that results in mergers and acquisitions that not too long ago would have been thought unimaginable.
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