Self-service hasn't transformed the analytics industry the way it did the gas industry. When data mining work benches first came on the market, I found that executives loved seeing the product demonstrations. They were drawn to the graphics and the speedy setup. That was exactly what data mining product developers had in mind. The object was to put analytics power into the hands of business people, enabling them to discover useful patterns in data and put the information into action independently, without the participation of an analytics specialist.
Managing so many orders all at once is a challenge these days the logistics industry is facing. Like they got so many customer demands and fewer resources to handle all at one go. So a void started developing up as in the incoming demands got very high and the corresponding outgoing services were decreasing. To fill this void, autonomous robots were introduced to the system. As the industry grew to provide more comfort like one-click orders or one-hour deliveries, pressure started building up more.
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"Why doesn't software manage itself?" That's the question his team asked about seven years ago, Oracle president Thomas Kurian told journalists at a recent briefing at the company's headquarters in Redwood Shores, California. In 2018, the answer is now "It does," in the form of Oracle's autonomous cloud services. Earlier this year, Oracle launched the world's first autonomous data warehouse and pledged to add self-driving, self-securing, and self-repairing capabilities across its cloud platform services. Now, three more autonomous services have come on line: Oracle Autonomous Analytics Cloud, Oracle Autonomous Integration Cloud, and Oracle Autonomous Visual Builder Cloud.
LG: I think everyone has a need for it. I explain it to people this way: Some companies need the Ford and some companies need the Ferrari. A Ford is like an open-source tool which you can build yourself and apply to a few metrics that are important to the business. It works well for smaller organizations, ones with not a lot of exposure to risk and with smaller platforms. They don't need what we [Anodot] are providing – the ability to analyze hundreds of thousands of metrics at once at minute or hourly granularity, giving visibility into the entire business and beyond like operational infrastructure.