Artificial intelligence (AI) refers to the ability of computers to perform tasks usually associated with human intelligence. Today’s AI-enabled computers can recognize images, understand language, and perform complex reasoning while making decisions based on sophisticated mathematical analyses.
This can be attributed to the power of graphic processing units (GPUs) available in the cloud.
The availability of massive amounts of data and the inability of humans to keep up with it. With 90 percent of the world’s data created in just the last two years, the data deluge is bound to continue.
Enterprises are looking at innovations in the consumer world and bringing proven technology like sentiment analysis into the enterprise.
In business, AI enables better-informed decisions and then automates the tasks that follow.
With time, the systems get smarter at spotting new opportunities and exposing unseen risks. AI augments human intelligence with powerful computing and decision-making informed by precise data analysis.
In the past few years, three factors have led to a dramatic increase in the adoption of AI technologies across the enterprise.
These three factors call for augmenting human capabilities with artificial intelligence in order for businesses to remain relevant in a quickly changing world.
Enterprises are uniquely rich in data full of context—both structured and unstructured— and this is distinct from consumer data alone. Unseen and untapped patterns of human, operational, and system activities with strong, predictive ties to key business results are everywhere. Machine learning will uncover these patterns to deliver significant benefits for all functions and extend to an enterprise’s ecosystem.
As companies begin their enterprise AI journey, they should keep these key considerations in mind:
More data is better. Enterprises need to use ever-expanding data reservoirs, plus other public data.
The recommendations coming from the new systems must be easily understood by all, and must not require specialized skill sets to decipher.
Because any decision made by one department always impacts other departments, companies should connect the entire value chain while optimizing locally.
Enterprises must have an AI command-and-control center to ensure human oversight and create a traceable audit trail.
Context is everything—including the right domain expertise is critical.
Rather than replacing existing systems, the AI journey should begin with existing systems and applications.
Oracle is in a unique position to deliver AI across all cloud services, including embedded AI within business applications, AI services within Oracle’s platform, and an AI development environment running on the high-performance compute and network infrastructure required for accelerated model training.
The essence of AI is learning from an abundance of data and building models that work in the specific domain. And the critical ingredient for accurate models is deep domain knowledge to interpret findings and further fine-tune the models. Over many years, Oracle has gained deep expertise in three broad areas: technology, business processes, and analytics. Oracle’s cross-industry domain knowledge in many facets of IT operations and ten global, industry-specific, operational and analytical business processes are the foundation of our AI solutions.
Across Oracle technology and application services, domain experts and Oracle data scientists embed value-added models and cognitive services into their offerings.
Oracle delivers a complete suite of business-critical, AI-enabled applications to help companies make better-informed decisions across enterprise operations.
Oracle offers powerful AI-enabled platform services, such as management, security, and conversational chatbots, and will continue to add more machine learning and AI capabilities.
Oracle can deliver the AI advantage to customers either in the public cloud or on premises.
Oracle also offers market-leading data as a service capability that is fully integrated into our AI applications and also available for other custom solutions.
Oracle has long expertise in AI through its comprehensive research and development program. For decades, data scientists in Oracle’s Machine Learning Research group have devised the most advanced enterprise algorithms, the set of instructions that tells the systems and network of computers what to do.
Machine learning algorithms tell computer systems to sift through vast quantities of data over and over again until they can recognize patterns of information that indicate normal operations, as well as other patterns that indicate something out of the ordinary has happened. Oracle researchers continue to improve the set of instructions behind machine learning and add those capabilities to an expanding set of products, such as the new Oracle Adaptive Intelligent Applications.
These dynamic new AI-infused applications adapt and learn according to the data they process, are aimed at a wide range of business professionals, and provide them with the customer insights to make better decisions.
The first adaptive intelligent application is aimed at helping customer experience professionals run personalized marketing campaigns in the context of offers and actions that the system recommends for individual consumers.
Other offerings within the adaptive intelligent applications suite will help:
Oracle Management Cloud is another example of an AI-powered application available as a cloud service. It combines big-data processing techniques with machine learning to help companies detect anomalies in very large data sets that indicate problems on a manufacturing line, for example, or patterns that indicate system security has been breached.
The data includes the identities of people logging onto the system, for example, or the temperature and pressure readings on a manufacturing line gathered by sensors and transmitted over the internet. The more data the computer processes, the more it learns.
Oracle Management Cloud helps end users quickly address critical problems whose solutions are hidden in data sets too large for humans to evaluate. The software can notify a systems operator to take corrective action or even fix the problem automatically.
Oracle’s management capabilities include security services. Oracle’s Cloud Access Security Broker uses machine learning to enhance its threat- and data-protection capabilities.
Oracle also offers advanced, AI-enabled platform services for data science and developers, allowing enterprises to build custom, AI-driven, enterprise outcomes.
Oracle embeds machine-learning capabilities into Oracle Database, where moving analytics closer to the data helps customers get fast, accurate answers to business questions and make fact-based predictions about the future.
Oracle is introducing the world’s first autonomous database with machine learning built in. With the autonomous database, users just define policies and the database makes things happen. It is fully-managed, preconfigured, and automatically tuned. The high-performance service is based on Oracle Exadata technology and is instantly elastic, growing and shrinking based on needs. It has guaranteed availability, ensuring your business is never at risk.
Oracle Analytics Cloud helps companies thoroughly understand all the data at their disposal. Capabilities include descriptive analytics to understand what has happened over a period of time, like the number of employees who left the company during the last year. With the application of AI, the system also can conduct diagnostic analytics and identify why employees sought other employment.
With Oracle Analytics Cloud, powerful analytics tools do the hard work behind the scenes while business users simply ask the computer a question. The answers can be in English or the end-user’s native language. Or the answers can be displayed as graphs, charts, or other visual representations. Sophisticated visualization tools allow the system to automatically select the best way to display the data in graphs or charts. The system will also generate a detailed description of the analytics findings for study and discussion.
With AI Optimized Infrastructure, Oracle offers hardware and software engineered to work together, resulting in lower costs, flexible consumption options, and simplified support. We have also introduced GPUs as a service to handle high-end processing needs.
GPUs have emerged as the critical processing infrastructure for highly efficient artificial intelligence and machine-learning processing, especially for unsupervised training. Oracle offers truly elastic Bare Metal Cloud with powerful GPUs as a service for the superior processing power needed to run complex AI services.
Because business decisions are only as sound as the data they are based on, the more information available to analyze, the better the conclusions and recommendations.
With Oracle Data Cloud, companies can augment their own data with massive amounts of information collected by more than 1,500 third-party information providers. Oracle Data Cloud offers some five billion profiles of consumers and companies and 45,000 attributes of the consumer lifestyle, giving companies a much deeper understanding of who their customers are, what they do, and what they buy.
Armed with this information, organizations are conducting targeted marketing that connects them to the right prospects, makes every interaction personal, and measures the effectiveness of each campaign.
Industry observers expect that soon every enterprise application will be a smart one that learns from interactions with the company’s data. Oracle Data Cloud customers will have the advantage of access to billions of consumer records and the expertise of Oracle AI experts.
Customers can use AI on a subscription basis in Oracle Cloud or on premises, using Oracle Cloud at Customer. Either way, Oracle offerings hold the promise that businesses everywhere can gain the AI advantage.