How to Prepare Data for an Artificial Intelligence Development Project – [whitepaper]
7T’s latest ebook examines user stories and epics, including step-by-step tutorials for how to create user stories and epics for a requirements document.
7T’s latest ebook examines user stories and epics, including step-by-step tutorials for how to create user stories and epics for a requirements document.
This ebook examines how to get started with an AI development project, including where to begin and how to prepare your organization’s data.
Find out how machine learning and artificial intelligence is transforming medicine with AI and machine learning use cases in healthcare.
Find out how machine learning and artificial intelligence is transforming medicine with AI and machine learning use cases in healthcare.
Find out how the right technology in a MLM software platform can supercharge a network marketing professional’s sales and increase ROI.
Find out how a custom ERP for healthcare can benefit your hospital, clinic or private practice with integrations, HIPAA-compliant features and more.
Learn more about AI implementation in healthcare and how artificial intelligence is being used in the medical field.
Frequently, data is amongst a company’s most valuable assets — a fact that can make a data migration project more than a little stressful. There are a number of circumstances that may necessitate data migration, including a software development project. Data needs to be moved from your old system to your new system. Sounds easy, right? At first glance, the process may appear to be simple and straightforward. But once you look a bit closer, you’ll realize that the potential for data corruption and data loss is significant. But with a solid data migration strategy, you will be well-positioned to transfer the data without incident.
A company’s data can be one of its most valuable assets, but a shocking number of businesses lack a defined data management plan. Even fewer have a well-articulated data protection strategy, designed to guard against dangers such as data theft, data corruption and data breaches. But do you really need a data protection plan? And, if so, what does that approach look like?
Enterprise data management strategies are highly complex, requiring intensive consideration of how a company’s data is processed, stored, protected and audited. But despite the challenges, data management is an area where an increasing number of companies are investing time and resources — and for good reason: your data is among your most valuable assets. An organization’s data is also among its greatest vulnerabilities.
A company’s messaging apps and associated messaging data should be a key consideration as an organization develops or refines its enterprise data management strategy. This messaging data is critical not only from a security standpoint, but also from a perspective of compliance for companies that are subject to regulatory oversight.
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