Oracle Oracle has invested heavily in artificial intelligence and machine learning to provide software services beyond the company's Salesforce

Oracle Oracle has invested heavily in artificial intelligence and machine learning to provide software services beyond the company's Salesforce

Source: ATYUN AI platform 

CLOUD WARS (Cloud War) - already available on the market, the largest modern SaaS (software as a service) applications, Oracle is all SaaS applications injection machine learning and artificial intelligence to help clients become high-speed data-driven digital enterprise.

Oracle Oracle said, thousands of enterprises every industry are looking forward to a new generation of artificial intelligence applications, according to Oracle's statement: AI representatives Adaptive Intelligence (Adaptive Smart) triggered an unprecedented pace of innovation, competition and even destroy the entire industry the ability and the ability to adapt and rapidly changing market dynamics.

Although machine learning and artificial intelligence is the core of Oracle's SaaS revolution, but the block chain and things will become embedded in all applicable SaaS applications mainstream technology, covering the ERP (including EPM and financial), including a large product line, HCM , customer experience, CRM and supply chain management and manufacturing.

For Oracle and its customers, this is a very important development, because the entire Oracle's cloud computing received $ 39 billion in revenue, its fast-growing SaaS business is the largest part of its extensive portfolio of cloud, in a recent earnings report showed that accounts for about 74 percent of Oracle's revenue.

In the second fiscal quarter ended November 30 in, SaaS Oracle reported revenue of $ 1.123 billion, an increase of 47%, SaaS annual revenues of $ 4.5 billion. SaaS revenue in the second quarter, US $ 1.123 is equivalent to 12% of the company's total revenue, with PaaS (platform services) and revenue IaaS (infrastructure services) totaled $ 396 million, which makes the second quarter, Oracle's cloud revenue to $ 1.519 billion.

The Oracle SaaS revenue to become the world's second largest after Salesforce.com SaaS application provider, but Oracle believes it has more advantages than Salesforce, Oracle will eventually become the largest company. In the next generation of Oracle applications one of the reasons mentioned is this aggressive artificial intelligence and machine learning, but there are other reasons:

- The company expects four quarters from December 1, 2017 to November 30, 2018, it will reach sales of about $ 2 billion in new business in the SaaS cloud subscription that Salesforce and any other competitors can not compare to;

- Oracle believes that its breadth and depth of product lineup will make it reach the size of Salesforce SaaS business can not be achieved;

- Founder and Chief Technology Officer Larry Ellison said that Oracle is the leader in SaaS ERP market, he said it was by far the largest SaaS type, if Salesforce does not play a role in ERP, then Oracle will eventually exceed revenue in the SaaS Salesforce.

But apart from such a fierce competition with rival Salesforce, Oracle also focus on the new generation of "smart adaptive (Adaptive Intelligence)" applications, through the design and definition, for users to create sustained better, more personalized experience, because of their artificial intelligence and machine learning component that enables applications to learn when in use.

The machine learning capabilities built on the basis of four: data, data science, modern SaaS applications and large amounts of raw computing power, through the application is being processed, create, learn and build large amounts of data to agitation.

"Forbes" magazine recently published an article entitled "AI to create a better shopping experience," the article explained, it will produce what kind of effect in the retail sector:

Adaptive intelligence embedded in the Oracle application of AI algorithms -Cy Commerce (trade) and Marketing (Marketing) analyzed data retailers collect data about customers and Oracle's data in the cloud, the data collection of more than 5 billion consumer , corporate ID and 7.5 trillion data points.

Oracle Vice President Tara Roberts pointed out that these algorithms to create a continuous feedback loop, retailers can use it to provide the best products to recommend to customers, to take account of their changing tastes and interests, as well as what they will find at that time information about it.

Retailers can use these features to generate dynamic category page, so that personalized search suggestions and search results with real-time quotes mixed together to provide a "friction-free" shopping experience.

Oracle believes that significant opportunities in addition to the retail industry, all sectors of its broad SaaS product line have similar "universal artificial intelligence" deployment:

-ERP: more accurately and efficiently process supplier information and payment;

- Supply chain management: the demand for process automation, which can be very complex and time-consuming;

-HCM: to find the "best fit" candidates, these candidates not only expect outstanding performance, but also most likely to be recruited.

In the end, Oracle expects the amount of data involved can learn the application of ever-increasing feedback loop, will continue to provide better and more optimal choice, will contain the default UI elements, such as navigation and input, etc., to create opportunities for more "push" transactions for users to create better results.

Along the way, the application of intelligent adaptive forms will be visited, including chatbots (bot), video messaging and augmented reality.

In addition, at a recent event, executive vice president of Oracle Applications and director Steve Miranda, she said:. "Two years later, we may discuss something completely new, perhaps we think of them today."

This switched ATYUN artificial intelligence media platforms, the original link: the Oracle Oracle has invested heavily in artificial intelligence and machine learning to provide software services beyond the company's Salesforce

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