Informatica, a leading data management solutions provider, has recently launched an AI-powered tool for marketers. This new tool is designed to help marketers enhance their marketing strategies and drive better business outcomes. The new tool, named "Informatica Intelligent Cloud Services for Marketing," leverages AI and machine learning to provide marketers with advanced insights into customer behavior and preferences. It offers a suite of features that enable marketers to create more personalized and effective marketing campaigns, increase customer engagement, and optimize marketing spend. One of the key features of Informatica's AI tool for marketers is its ability to analyze customer data and generate predictive insights.

Aicadium, a global AI Centre of Excellence, was launched today to empower companies to achieve better business outcomes through the adoption and delivery of AI technologies and solutions. Founded by Temasek, a global investment firm headquartered in Singapore, Aicadium will leverage a common machine learning platform to deliver AI-as-a-Service from discovery to deployment. Based in Singapore and San Diego, CA, Aicadium's management, data scientists, software and solutions engineers are being assembled with the guidance of Michael Zeller, Head of AI Strategy & Solutions at Temasek. Aicadium aims to fulfill a need shared by Temasek's global network of portfolio companies and others seeking to improve their business outcomes using artificial intelligence. However, these companies are typically faced with significant barriers to achieving operational AI within their organisations.

If you lead an IT, DevOps, or business operations team, you're probably working on a digital transformation and cloud migration strategy. You're also likely doing it with scarce resources under the strain of shifting market needs and accelerated customer demands. The applications and services that enable these experiences are built on multicloud environments that promise faster innovation and better business outcomes. But these dynamic environments also bring a scale, complexity, and frequency of change that have grown beyond humans' capacity to manage. The common approaches to monitoring these environments to build applications, optimize performance, and run operations are no longer effective.

If you are a long time Oracle customer, you may recall the days in 2009 when Oracle 11g along with Oracle Enterprise Manager 11g was released. Oracle Enterprise Manager Patching and Provisioning Pack 11g included capabilities for automated database provisioning, patching and upgrade. Compliance for Oracle recommended Critical Patch Updates (security patches) was achieved when Patch Advisories in Enterprise Manager first discovered patch drift and then provided automated mechanisms (deployment procedures) to correct the drift. A decade later, Oracle has transformed. Oracle's Cloud strategy and unmatched breadth of business applications provides a unique opportunity for utilizing data to make AI and Machine Learning fulfill its promise.

Dynamics 365 Commerce, now in preview, delivers a complete omnichannel solution that unifies back-office, in-store, and digital experiences built on Dynamics 365 Retail capabilities. Retail is one of those industries that everyone can relate to. Shopping is ingrained in our daily lives, with today's consumer demanding engaging and integrated shopping experiences across storefronts–physical stores, online and mobile. As traditional commerce channels are disrupted and new ones emerge, shoppers have ever-greater control of their experience, from researching product price and quality to maximize the value of every dollar spent, to purchasing from the brand that offers the most personalized, convenient service. With this power shift comes a great opportunity for retailers.

The key to making better business decisions is surprisingly simple: take a proactive approach to using data. Every company gathers data in one form or another, but the way a company uses its data has a lasting impact on the ability to compete, innovate, and attract talent. For many companies and their employees, data is gathered and handled reactively. They collect and use data intermittently on an as-needed basis, but it's seldom collected for historical analysis to support the creation of AI solutions. Data-driven companies believe that being proactive with their data is the ultimate differentiator.

Deep learning is a subset of machine learning, and chances are you've already used it whether you know it or not. While you most likely have heard the terms deep learning, machine learning, and AI, you might not be as familiar with real-world deep learning solutions. As you might suspect, the terms are interrelated. If it isn't already, deep learning should be on your radar. It is a subset of machine learning, and both fall under the umbrella of artificial intelligence, which refers to systems built to carry out tasks that normally require human input.

Dell Technologies has announced the 14th generation Dell EMC PowerEdge four-socket servers and Dell Precision Optimizer 5.0 to further strengthen AI and ML capabilities. It also forged an alliance with Intel in AI and ML for Dell EMC Ready Solutions to enable customers harness the power of data. New AI and ML solutions and partnerships drive smarter, better business outcomes by turning data into intelligent insights in real time. According to the recently released update of the Enterprise Strategy Group (ESG) 2018 IT Transformation Maturity Curve Index, commissioned by Dell EMC, transformed companies are 18X more likely to make better and faster data-driven decisions than their competition. Additionally, transformed companies are 22X as likely to be ahead of the competition with new products and services to market.

Dell Technologies announces new 14th generation Dell EMC PowerEdge four-socket servers and Dell Precision Optimizer 5.0 to strengthen AI and ML capabilities. They have forged an alliance with Intel in AI and ML for Dell EMC Ready Solutions to enable customers to harness the power of data. New AI and ML solutions and partnerships drive smarter, better business outcomes by turning data into intelligent insights in real time. According to the recently released update of the Enterprise Strategy Group (ESG) 2018 IT Transformation Maturity Curve Index, commissioned by Dell EMC, transformed companies are 18X more likely to make better and faster data-driven decisions than their competition. Additionally, transformed companies are 22X as likely to be ahead of the competition with new products and services to market.