The Workday People Analytics application is based on predictive analytics and machine learning algorithms.
A nascent effort is underway to employ the immutable attributes of blockchain database technologies through which the skills and work experience of job candidates can be verified long before they are hired.
Collaboration platforms should be open and interoperable, and the industry is taking steps toward this goal. But the process is at a nascent stage, and it leaves questions of security, compliance and data management up in the air.
FinancialForce has previewed a Fall edition of its namesake enterprise resource planning (ERP) SaaS application that adds support for the Einstein AI framework developed by Salesforce.
In one key way, collaboration software conforms to past productivity solutions: There are lots of platforms with lots of features that all require careful evaluation to determine which one is the correct fit for the enterprise.
The Open Data Initiative will initially focus on creating a common set of terms to be employed across applications that will make it simpler for organizations to create a more unified digital customer experience.
Productivity software is turning into a vulnerability for the enterprise as hackers find new ways to worm their way into sensitive data infrastructure.
The new policy will require app developers to share how data is collected and how that data is used. And the policy only applies to applications, not to Apple itself.
It will not take long for employees to discover what kind of organization they work for in the age of AI. Some organizations will invest in AI and retrain workers; others will seek to maximize profitability wherever possible.
New Salesforce Lightning Platform offerings are designed to enable business users to automate processes on their own with minimal to no assistance from an internal IT department required.
Salesforce today extended the reach of its Sales Cloud platform to provide tighter integration with finance and marketing processes.
Organizations must educate themselves about AI before taking the plunge. They must assess what data they have to feed into the system and if remedial work is necessary to enable that data to be used.