"Alexa, what's the weather today?"
Voice assistance has become a consumable product in the last five years with the market adaptation of Alexa, Siri, and Okay Google. We have it in our house, cars, phones and we want more from voice capabilities. The voice assistance does have additional capabilities along with security concerns. We will quickly discuss both.
The increase in podcast listeners has encouraged users to accept this form of audio information intake. 51% (144 million) of the US population has listened to a podcast, up from 44% in 2018 (Infinite Dial ‘19). This has introduced the market to ‘mass tailored marketing’ by changing the style or type of voice depending on region and ethnicity so the customer or another person feel more comfortable engaging with the audio voice caller.
Home appliances and utilities will become more so commanded by voice assistance. Machine learning, a type of artificial intelligence, in voice assistance will be able to detect which family member is at the house now and adjust the temperature to that specific persons liking without the person telling them to change the temperature. The AI will learn over time that the husband likes the house at 72 F, and the wife likes dim lights after 8 pm. These specific reactive AI will be marketed as living assistance tools, but they might have some security concerns.
Voice recognition can become a form of security, but it can also cause many unknown security breaches. Recording your voice might be needed for many applications, and if not careful, companies may be able to use the recording to sell to marketers or government agencies. Recording conversations will become a big topic for security for many consumers but could have many applications such as, a voice recognition that can copy your voice and read a bedtime story to your 3-year-old son when you are on a business trip.
Machine Learning in Voice Assistance will dominate the marketing and utility command market; be prepared, be excited!
The back office is the backbone of a company, consisting of IT, operations, HR, accounting and compliance. Most of the back-office departments are all jobs that do not directly generate revenue. In this age of automation, companies have searched for ways to computerize many back-office and other non-revenue generating jobs. More than 50% of internet traffic comes from mobile devices, yet fewer than 20% of HR applications run on mobile devices. The mobile HR infrastructure will capture designed thinking, by capturing data to understand what employees do during their day including; time/attendance, desired workspace, payroll and performance settings.
Human resource jobs supervise the recruiting, hiring of new staff, serve as a link between an organization’s management and its employees, and consult with executives on strategic planning. With 136 thousand jobs and growing, HR will be the next jobs to be automated. Many larger companies have adapted Content Management Software (CMS) to reduce the time and money in the HR divisions. An example of CMS is online hire applications, which can be set to weed out applications that lack key indicators in resumes. If an applicant submits their resume to an administrative position, the CMS will remove the applications that don’t have the words or skills; delegate, manage, MS Office.
As job titles change, the role of HR will keep evolving. Every employee is an ambassador for their company. Technology can help companies target desired candidates with skills needed to do the job successfully, using data-driven insights HR is now connecting and hiring with the right talent.