Rami Ikhreishi
Technology Entrepreneur, Inventor & CEO
Let’s Work Together
Rami Ikhreishi is a pioneering technology entrepreneur, software engineer, and innovator with over two decades of experience driving digital transformation in the IT industry.
Rami Ikhreishi is a seasoned technology entrepreneur, software engineer, and innovator with over 20 years of experience in the IT industry. He is the founder and Chief Executive Officer of CSC Beyond, an international IT services firm established in 2005, and the visionary behind NCIT Solutions, a company specializing in artificial intelligence and cognitive computing technologies.
Jordan has been always the first country to apply new innovative technologies across the middle east and across the region.
Since then, he started the company with two employees in a small office. Then with so much sweat and tears dropping, he and the team were able to establish a well know IT company that is currently operating in 7 countries providing top notch IT services.
Driven by a vision to use technology for positive impact, Rami continues to champion innovation, digital empowerment, and the development of future-ready IT solutions for businesses and communities worldwide.
Raleigh, NC. USA – NCITSolutions U.S. Manager Mr. Rami Ikhreishi was included in the Alumni website of North Carolina State University in Raleigh. He is also a graduate from the prestigious EEP program at that school.
NCSU Presentation
NCIT Solutions U.S. Manager Mr. Rami Ikhreishi Presents a Key Success Demonstration about the company in North Carolina State University, Electrical Engineering Program.
Mr. Ikhreishi is a NCSU Graduate Himself, and presents to students the success factors for the company.
Patents
Systems and methods for identifying evidentiary information
Systems and methods for semantically analyzing digital information. A cognitive engine is configured to determine useful evidentiary information from large digital content data sets. Further, the cognitive engine can analyze or manipulate the evidentiary information to derive data needed to solve problems, identify issues, and identify patterns. The results can then be applied to any application, interface, or automation as appropriate.
Systems and methods for semantic understanding of digital information
A semantic engine including a group of functions or sub-engines configured to operate together to provide a complete analysis and understanding of digital information in order to provide results or subsequent actions. The semantic engine provide a set of algorithms, including a Naïve Bayes (Bayesian) algorithm, intelligent, self-learning semantic understanding algorithm, lexical analysis algorithm, word trimming algorithm, part-of-speech (POS) tagging algorithm, and textual inference algorithm.
Systems and methods for patent reference comparison in a combined semantical-probabilistic algorithm
A comparison engine configured to utilize combined semantic-probabilistic algorithms to differentiate and compare an input to obtain enumerated results of similarity (items that are similar to other patent-related references), differences (items that are different from other patent-related references), and uniquenesses (how the input text is distinct from other patent-related references).
Google Scholar
Artificial intelligence
Rami Ikhreishi is driven by a vision to harness technology as a tool for global improvement. His endeavors reflect a commitment to innovation, quality, and the empowerment of communities through technological solutions.