Data Intensity delivers a wide range of capabilities, knowledge, and expertise to manage Oracle’s massive portfolio of enterprise applications and technologies.
Data Intensity protects your data from risk during the cloud migration process. We take a business-first, secure approach to cloud adoption and closely collaborate with your IT team as we employ our proven “Safe-Switch” migration methodology.
Data Intensity assesses the current status of all Oracle application licenses across your enterprise. By highlighting any potential risks and identifying opportunities to retire or repurpose legacy software assets, we help you eliminate waste and maximize your return on investment (ROI).
Data Intensity provides SaaS test assurance services and cloud integration management in our tailored Cloud Sprawl Management subscription to catalog your critical application needs, matched against a deep CEMLI analysis.
Data Intensity offers 24 x 7 functional and development support, helping you keep pace with a range of user requests like new functionality and reporting, serviceability of existing capabilities, and patch management.
Data Intensity's resolution-based support model optimizes your Oracle investment, application utilization, and IT department effectiveness.
Data Intensity’s approach to helping our clients achieve success in their AI, Generative AI, and Machine Learning projects comes down to one thing: data readiness.
Our Database Management Solutions provide design, implementation, and support services to successfully process your enterprise-wide Oracle workloads. We also ensure high performance, security, and scalability as you take the next steps in your company’s digital transformation journey by migrating to the cloud.
Wherever you are in your Oracle application journey, moving from an on-premises data center approach to a multi-cloud/hybrid cloud environment is a big leap.
Data Intensity’s Professional and Managed Services are focused on optimizing your enterprise applications and data workloads across any cloud.
Data Intensity offers comprehensive Oracle Managed Services for your enterprise IT landscape, featuring proactive monitoring, operating system support, backups and recovery, and patch management.
Leveraging our vast experience, we help you increase scalability, while reducing costs and mitigating risk to your Oracle data and critical business processes during the migration process.
Whether you need to protect sensitive data, ensure compliance, or fortify your cloud environment, we can help.
Data Intensity partners with innovative solutions providers to best meet client needs and to enable organizations to grow and extend market presence.
Data Intensity is an Oracle Partner with a focus on Oracle E-Business Suite (EBS) Applications, Oracle Technology Platforms, Engineered Systems, Oracle Cloud Infrastructure (OCI) IaaS, PaaS, and SaaS platforms.
Data Intensity proudly collaborates with leading companies offering complimentary solutions to help our clients succeed further and faster.
Data Intensity leverages relationships with both Microsoft and Amazon to deliver comprehensive, scalable, and innovative cloud solutions to our clients.
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See how Data Intensity helps transform businesses through 20+ years of expertise empowering Oracle workloads.
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Data Intensity is an industry-leading Oracle Managed Services Provider delivering world-class expert managed services for the complex lifecycle of your Oracle-powered workloads.
The Data Intensity leadership team comes from some of the largest and most successful technology firms in the industry today. We leverage our combined experience and legacy of success to provide guidance and vision for the growth and ongoing evolution of Data Intensity.
Data Intensity is the largest independent multi-cloud services provider focused on managing mission-critical applications and services in a hybrid cloud world.
Learn about our security posture and request access to our security documentation.
Clients come to us — and stay with us — because working with Data Intensity allows them to optimize the value of their software investments, multi-cloud strategy, and business processes through services that result in greater system availability, performance, and scalability.
Data Intensity has spent the last few years speaking to experts, delving into real use cases for the technology, and examining the risks and business impacts to help our clients maximize the capabilities of Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning (ML), by applying these technologies to their existing applications or using their data to gather insights. AI is no longer a futuristic possibility, but a business game-changer.
When it comes to AI’s impact, Jen Stave of Harvard’s D3 Institute says, “we’re on the precipice of a major transformation… it’s going to be bigger than the internet, bigger than electricity.” Data Intensity is helping our clients enable AI technologies to:
Reduce labor costs, free up employees to focus on more valuable projects, or offload repetitive tasks
Identify patterns and trends not easily detected by humans, reduce the risk of errors, get faster analysis of potential outcomes
Quickly determine customer preferences, behaviors, and needs, to better tailor your products and services offerings
“We’d like to present custom, automated itineraries that don’t require timely human review.”
“Can we automate patient chart reviews to flag potential diseases based on emerging medical research up to our nurses?”
“We want to offer more-relevant, customized product recommendations to increase add-on sales.”
"Can we use AI on our manufacturing line to improve accessibility to technical data or to facilitate task guidance?"
"We need to further optimize our logistics operations. How can AI help?"
"We'd like to know if AI can help train and automate performance reviews of our large workforce."
Solutions to challenges such as the above are just the beginning.
Businesses need to dream big – but start at the beginning, with data.
The success of an AI project rests on the quality of the data behind it. Gartner and Capgemini recently released sobering statistics, including:
Also of note: it’s important to differentiate between AI-ready data requirements and traditional data management; standard data management operations are too slow and too structured for AI projects. Do you have AI data management plans in place?
What are the challenges your business is facing?
Are your data management practices ready for AI?
Have you kicked off an AI project that’s been underwhelming, or a complete failure?
Do you want help determining the best AI strategies for your industry?