A Guide to Prepare Your Business for Artificial Intelligence (AI) Development [eBook]
This ebook examines how to get started with an AI development project, including where to begin and how to prepare your organization’s data.
Artificial Intelligence (AI) and Machine Learning Use Cases in Finance
Find out how machine learning and artificial intelligence is transforming medicine with AI and machine learning use cases in healthcare.
AI and Machine Learning Use Cases in Healthcare and Medicine
Find out how machine learning and artificial intelligence is transforming medicine with AI and machine learning use cases in healthcare.
How the Right Network Marketing Software Solutions Increase ROI
Find out how the right technology in a MLM software platform can supercharge a network marketing professional’s sales and increase ROI.
The Benefits of a Custom ERP for Healthcare Systems, Hospitals & Private Practices
Find out how a custom ERP for healthcare can benefit your hospital, clinic or private practice with integrations, HIPAA-compliant features and more.
AI Implementation in Healthcare – How is the Medical Field Using Artificial Intelligence?
Learn more about AI implementation in healthcare and how artificial intelligence is being used in the medical field.
The Importance of a Good Data Migration Strategy for Your Software Development Project
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.
Do You Need a Data Protection Strategy? – Data Management Tips
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?
Why Your Enterprise Data Management Strategy Should Include Messaging Apps
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.
Google Halts Cross-App Tracking on Android Devices and What it Means for Users
Google recently announced its plans to discontinue the practice of tracking users on Android smartphones and tablets. The move comes as increasingly savvy users move away from platforms and apps that collect their data — sometimes covertly.
Google’s latest move comes on the heels of a similar initiative that was introduced by Apple in 2021. These new privacy restrictions are specifically related to user data that is collected for the purpose of more targeted advertising. Privacy concerns abound, this data is often collected in a discreet, covert manner without the user’s knowledge and consent.
