Future trends of Artificial Intelligence

By Enterprise Security Magazine | Friday, February 08, 2019

Artificial Intelligence soon will be widely used in agriculture, education, defense, cybercrime, logistics, manufacturing industries, etc for optimized solutions. Privacy-enabled AI platforms, smartphones with AI chips can emerge in the market. AI can be delivering highly personalized content and recommendations that will delight consumers.

Machine learning as a service (MLaaS)

Small companies that don't have the necessary in-house resources or talent are leaning towards prebuilt machine learning solutions and capabilities like MLaaS.

AI will create jobs

AI needs human support to implement and oversee its application. The need to deploy technology and train the workforce on using it while retaining the professionals who carry out the actual work is critical for success.

Automation

Leading companies will become more efficient by automating previously manual or low-value tasks which will free them up to invest in other more revenue generating initiatives. Companies might directly drive top-line performance by using AI to outperform competitors.

Cyber Defence

Cybercriminals have actively targeted software-as-a-service (SaaS) platforms, cloud infrastructure and internet of things devices making tech security a threat for business owners. Companies have deployed artificial intelligence and machine learning technologies to detect online enemies’ real-time and identify cyber threats before they spread. AI is empowered to pick up abnormal activity indicators and defend the system early before the threat increases.

The rise of the digital workforce

Robotic process automation (RPA) will create a digital working force. Till now, firms have been treating emerging technologies distinctly; including RPA for automation and AI for intelligence. RPA in addition to AI technology will increase an organization’s innovative efforts. Organizations have already deployed AI building block technologies such as text analytics and ML with RPA features will drive greater value for digital workers.