ScienceSoft Healthcare
ScienceSoft Finance
Artificial Intelligence (AI) Blog
Apoorv Gehlot
Software Development
Artificial Intelligence
Customer Service
How AI-powered chatbots transform customer service management
With significant effects on multiple aspects of the businesses, chatbots have changed the way processes are carried out. This article describes what benefits they can bring to customer service management.
Boris Shiklo
Chief Technology Officer, ScienceSoft
Internet of Things
Artificial Intelligence
Al-Based Technologies for Fighting Environmental Issues
We explore how AI and IoT contribute to a healthier environment.
Harold Kilpatrick
Information Security
Artificial Intelligence
The Threats Artificial Intelligence Poses to Cybersecurity
Check what security concerns artificial intelligence raises nowadays and why you should take great care and take preventive actions before hackers do any serious harm.
Anand Kadam
Information Security
Finance IT
Artificial Intelligence
Will Artificial Intelligence Be the Answer to BFSI Cyberattacks?
Artificial Intelligence is harped to be the next big thing in the banking sector. But, can it solve the industry’s most prominent issue ever? - the problem of cybersecurity.
Lola Koktysh
Healthcare IT
Artificial Intelligence
AI aims high for saving big in healthcare
Accenture predicts $150 billion worth of savings in healthcare by 2026 thanks to artificial intelligence coming in all shapes and colors.
Boris Shiklo
Chief Technology Officer, ScienceSoft
Internet of Things
Artificial Intelligence
The Biggest Fear about Artificial Intelligence: Will Robots Steal Our Jobs?
We dwell on the opportunities offered by AI and shed light on the technology's potential risks.
Denis Zhinko
IT Architect and CRM Expert
CRM
Artificial Intelligence
CRM and Artificial Intelligence: Today & Tomorrow
Drawing on the stats, CRM consultants look at the present and the future of artificial intelligence in CRM.
Oleg Chudakov
Image Analysis
Artificial Intelligence
Building trust with computer vision AI
Machine learning is successfully used for image analysis, but the existing algorithms are black boxes. Perhaps, science can remedy the situation.
