Data Privacy, Transparency Get New Weapon
Osano and its browser plugin, Privacy Monitor, aim to provide consumers with transparency regarding consumer data privacy policies. The company will release data supply chain tools for companies later this year.
Keys to a Successful IoT Deployment
IoT is growing rapidly, but lingering connectivity, security, and data storage concerns will need to be resolved to guarantee its continued flourishing.
Seven Ways to Jump-Start AI
Artificial intelligence can offer competitive advantages, but it's not easy to drive success without understanding how to overcome the challenges.
AI, Automation Job Trend to Reverse in 2020
Artificial intelligence is adding value for many enterprise organizations, but getting it into production takes longer, costs more, and adds less value than many organizations are expecting.
What the CIO's Role Says About Your Company
The roles of chief information officers (CIOs) can vary significantly. Some are strategic business leaders, others are tactical implementers, some fall somewhere in between. What they do says a lot about your company.
IoT Data: Get the Right Rights
Before diving into AI, advanced analytics and other data-driven projects be sure to understand which data you hold rights to and what restrictions apply.
Digital Reality is Ready to Roll
If years of hype have left you skeptical, all signs now point toward reasons to believe that digital reality is ready for its transformative moment.
When Automation Brings Efficiency to CRM
With repetitive manual data entry proving a pain point for staff members, workplaces must act to ensure their teams stay motivated. Could automation be the answer?
Let's Make a Deal: Negotiating with IT Vendors
The big enterprise IT vendors -- IBM, Microsoft, Oracle, and SAP -- all want you to buy more and pay more. Here are some tactics for you to protect your organization and get the best deal as you plan and engage in negotiations with them.
How to Operationalize Your Machine Learning Projects
Operationalizing those data science, analytics, and machine learning projects is one of the top concerns of IT leaders. But the same tried-and-true best practices you've used for other IT projects can guide you on these new technologies, too.