Aisera announced its launch, that will deliver this AI platform to corporations looking for the best in self-service experience solutions.
Aisera's arrival gives Chief Information Officers (CIOs) an AI Service Management (AISM) solution to achieve an exceptional service experience spanning the enterprise across Information Technology (IT), Human Resources (HR), Facilities, Customer Service, IT Operations and DevOps. AISM will make a real, positive impact in the customer experience while helping companies vastly improve employee productivity at a fraction of current costs.
Aisera reflects the vision of entrepreneur/disruptor Muddu Sudhakar for a comprehensive solution capable of automating repetitive tasks and actions, enabling true self-service capabilities and streamlining resolution — yielding an excellent user experience while driving business revenue and growth. Using Aisera, employees and customers achieve autonomous self-service resolutions without needing assistance from humans.
"CIOs are under increased pressure to help their organizations improve the customer experience. This makes perfect sense, given that CIOs can connect the dots among people, processes, and technology; but are they equipped with the right set of tools and technology?" asked Sudhakar. "Aisera is architected to improve enterprise service experience by leveraging the latest advances in AI, machine learning, knowledge graphs and Natural Language Understanding (NLU) search."
Aisera's level of service desk automation calls upon a trio of technology breakthroughs: Conversational Robotic Process Automation (RPA), conversational AI and TicketIQ. This trio provides instant resolution of support requests that are addressed, even outside regular business hours. Averaging less than one second in response time for the 6M+ interactions that go through their no-code platform, Aisera's self-learning capability improves auto-resolution rates to deliver greater self-service to users.
Aisera employs the key components of AI — NLU and Natural Language Processing (NLP) — to enable unsupervised learning and effective dialogue management, capable of maintaining the status of a process or transaction. This is a key AI differentiator providing an omnichannel experience to users.
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...