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Oracle’s Grand Tour stops in Milan: focus on integrated AI

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Oracle’s Grand Tour stops in Milan: focus on integrated AI

Entering Oracle CloudWorld Milan, the only stop in the EU on the “grand tour” of Larry Ellison’s company, was certainly not a simple thing: probably an excessive amount of information was required for registration. Once inside Mico, however, the reward was a 360° view of Oracle’s strategy, revealed to partners and customers in various keynotes. Starting with that of its executive vice president of Corporate Operation, Doug Kehring. All aimed at customers. “Because your success is all that matters to us” was the leitmotif of the speech.

“All the organizations I meet are focused on one goal: using automation to power their transformations. But the technology itself is not enough: other suppliers can offer similar technologies, but what matters is the value that the technology can deliver when it is part of a larger transformation. This requires a focus on each individual customer. The same technology used by different companies, in different industries and in different geographies, can produce very different results. Each organization must follow the own journey to realize your worth, and that means we need to be by your side throughout the entire journey to help you achieve success.”
Obviously AI played a prominent role in the day: Oracle’s artificial intelligence – Kehring continued – is pre-integrated into Oracle’s products and services to help customers achieve their goals. “It all starts with data, your data to be precise, from your applications, from your databases, from your organization. This is the data that informs your AI – and that is unique to your company.” Oracle AI (the name chosen for the company’s artificial intelligence, with the concreteness – some would say the lack of imagination – that distinguishes it), essentially integrates generic LLMs and customer data, to help guide the company with better automation.

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“Improving customer response rates, making contract terms more favorable, improving patient care outcomes, workplace safety or reducing financial fraud – a myriad of areas where Oracle’s AI combined with Oracle technologies can help your business achieve greater speed, greater productivity and higher margins. When you use our technologies, Oracle’s artificial intelligence is naturally integrated into your entire company, and that’s what makes us different ” concluded Kehring, which was followed by several conversations between Carlota Alvarez, CEO and country manager of Oracle Italia, a branch that is celebrating its 32nd anniversary, and several executives of important Italian client companies.

Paolo Trevisan, Chief Technology Information Officer of Polo Strategico Nazionale, noted how

“Oracle Alloy [la soluzione cloud dell’azienda, ndr] it is a key element of our program to drive the digitalisation of the Italian PA. A cloud infrastructure located in Italy, segregated, dedicated and managed entirely by PSN within our four data centers, guarantees the high levels of security and control necessary for the management of strategic data and at the same time the flexibility and innovation typical of a hyperscaler.”

Artificial intelligence Oracle integrates AI into its software. Ellison: “It is the era of generative AI, it will make the world better” from our correspondent Arcangelo Rociola 21 September 2023

According to Mario D’Argenio, Corporate IT Solutions Manager at Siram Veolia, “Oracle Cloud ERP has relegated searching through multiple spreadsheets and collecting financial data manually to the past: it provides us with real-time data, which allows us to make informed business decisions and efficiently manage the company.”

“Despite a highly decentralized governance, we are today able to consolidate the main personal and organizational information of 85,000 employees in over 40 countries and to set our group People Strategy 2024 on 13 common, quantitative and measurable KPIs – explained Fabio Fabiano , Head of Group HR Digital Processes of Generali Group -. This is thanks to the choice of Oracle’s Cloud HCM platform to enable the culture of data also in Generali’s Human Resources”.

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But of course we also talked about products. Four main innovations presented.

Starting with new generative AI capabilities to the Oracle Fusion Cloud Applications suite: Building on its cloud infrastructure, Oracle today supports more than 50 generative AI use cases, designed to respect corporate data, customer privacy and security . With OCI Generative AI Service, customer data is not shared with LLM’s language model providers nor can it be seen by other customers. Additionally, the customer is the only entity that is allowed to use custom models trained on their data.

Second announcement: Oracle Smart Operations, new supply chain execution capabilities in Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), to help organizations increase the efficiency of global operations across the supply chain by reducing unplanned downtime and improving visibility into your operations.

Oracle Cloud EPM for Sustainability is a new solution that helps organizations efficiently measure and manage sustainability initiatives, helping gain the insights the business needs to make progress on sustainability goals by connecting data, plans and objectives across the organization and modeling multiple scenarios to optimize outcomes. The solution is specifically designed to integrate automation, artificial intelligence and machine learning to improve reporting and help you efficiently and accurately compile the information needed for the new reporting guidelines, given that the relevant data environmental impact can come from many locations, business units and systems within an organization, as well as from various suppliers and business partners. Data is often consolidated manually using spreadsheets, so generating these reports and analyzing the data can become a slow, inefficient and error-prone process.

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New AI capabilities introduced in Oracle Fusion Data Intelligence will help customers using Oracle Fusion Cloud Applications improve decision-making with data-driven, quickly actionable insights. Advanced machine learning capabilities provide insights and predict outcomes for specific requests across finance, supply chain, HR and customer service processes.

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