A Community of Wipro’s Elite Technologists
Distinguished Member of Technical Staff (DMTS) is a cadre of expert technologists who have demonstrated technical proficiency and thought leadership to shape the technology roadmap of Wipro and our customers.
Anchored on the three pillars of Value Generation, Execution and Credibility in an individual’s area of technical expertise, entry into DMTS is based on stringent evaluation against these parameters. DMTS community members are initiated into one of three levels – Fellow, Distinguished Member or Senior Member – depending upon the maturity of technical expertise and the sphere of influence over which their technical leadership extends. Technological contributions grow as one moves from Senior Member to Fellow.
DMTS members focus on emerging technology areas such as Artificial Intelligence, 5G, Data Analytics, Augmented and Virtual Reality, Cyber Security, IoT and Quantum Computing. They continue contributing to complex projects while demonstrating thought leadership through technology research, developing IPs, filing patents and publishing papers on a regular basis. Wipro supports community members in their development as technologists through career guidance, technical seminars, financial assistance in self-development and enabling avenues for them to present their research.
Explains SDWAN business case
AI Technology can bridge the gaps in Security Technology, Help build next generation security teams and Introduce security culture into the Enterprise
Today global businesses depend on data for making complex decisions and for meaningful business intelligence
The concept of connected supply chain is understood mostly by people who watch commercials.
Banking technologies are undergoing a major shift as banking companies face the challenge of servicing digital native customers with real-time service requirements supporting voice and text conversations and with low data latency to support marketplace and regulatory requirements.
To cope with the disruption in their business models, banks need to manage high data volumes, including managing unstructured data, in real time.
With the advent of digital native customers, banks are facing a paradigm shift in their customer behavior.
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