Tips

Tips

• Business transformation project: Dealing with legacy data

  Business transformation requires a solid data foundation. Expert Dan Morris offers a near-term fix for your data-quality problems and the basis for a long-term approach to better data.  Continue Reading

• What steps can CIOs take to optimize their ITSM software?

  James Stanger of CompTIA dives into the reasons for ITSM software proliferation in the enterprise, why that's a problem and how sticking to a unified ITSM framework can help.  Continue Reading

• IT service desk vs. IT help desk: What's the difference?

  One came first and focused on IT fixes. The other got direction from ITIL. Users ask for one over the other. Today, something called ESM might just put both out to pasture.  Continue Reading

• Don't get caught up in the neural processing unit hype

  To differentiate new chip technology from existing GPUs, mobile tech companies (along with software titans) are slapping a 'neural' label on their products. Analysts say to be skeptical.  Continue Reading

• Resist 'garbage in, gospel out' doctrine -- defend data quality

  The 'garbage in, gospel out' approach to business analytics may be a valid approach for doing big data projects, but CIOs should resist it for business transformation.  Continue Reading

• How to start a blockchain project: Questions for IBM's Jerry Cuomo

  A blockchain project starts with a belief that business needs to be done in a different way. Here's what happens next, including the role CIOs play in a blockchain journey.  Continue Reading

• Bad data stops business process transformation in its tracks

  Dan Morris introduces his new eight-part series on exploring how bad data can sabotage business process transformation and what CIOs need to do to fix it.  Continue Reading

• Fostering human-machine collaboration is a CIO's job

  Uncover why human-machine collaboration was singled out in a Forrester Research report that says it's time for enterprises to embrace AI in the workplace -- and IT has a special role to play.  Continue Reading

• How CIOs can support black box testing techniques

  Ben Clark, Wayfair's chief architect, offers advice to CIOs on how to knowledgeably support AI endeavors in the enterprise, including the use of black box testing.  Continue Reading

• Using RPA development to bridge the gap between legacy and cloud apps

  RPA tech has evolved into sophisticated frameworks that automate IT tasks and rules-based processes. Now, RPA benefits are bridging the gap between legacy apps and modern ones.  Continue Reading

• How to measure usability when selecting an RPA tool

  If an RPA tool isn't user-friendly and isn't built for the long term, chances are the dividends won't be immediate. Read this before choosing your RPA tools.  Continue Reading

• Enterprise digitization's secret ingredient: Fusion teams

  Cross-functional or 'fusion' teams are critical to meeting fast-changing digital challenges. Here are the four must-have team attributes for successful enterprise digitization.  Continue Reading

• How to overcome multi-cloud disaster recovery challenges

  As multi-cloud environments proliferate, data backup and recovery tech is essential. Here's how to assess enterprise multi-cloud disaster recovery capabilities -- and limitations.  Continue Reading

• Rapid prototyping process brings technology to life

  Carnegie Mellon University's Chris Harrison and his team are developing the user interfaces of the future. He explains why a rapid prototyping process is critical to building technology that changes lives.  Continue Reading

• Biometric security technology readies for corporate prime time

  Companies are turning to biometric security technology to improve user authentication and experience, but its use presents unique challenges that could slow enterprise adoption.  Continue Reading