AI, 5G, and IoT top the list of the most important technologies for 2021

5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion.

Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.5G is a major catalyst for the trend, under which more workload is being implemented and data is on edge devices.

AI will play an important part in ensuring that 5G networks are optimized 24 × 7 end-to-end.How 5G Can Use AIAI hybrid lives on every edge of the clouds, multi-cloud, and future mesh networks.

Already, we have seen major AI platform vendors make significant investments in 5G-based services for 5 Mobility, Internet of Things (IoT), and other edge environments.To better understand how 5G empowers the online economy, let’s consider how this emerging wireless architecture delivers value across the AI in telecom toolchain:Next-Generation Edge Convergence with AI Systems on the Chip5G combines digital cellular technology with wireless long-term evolution and Wi-Fi interface.

As a result, 5G has a much faster download and upload speed than 4G: 20 gigabits per second, which is 4 times the rate of 5–12 megabits per second.Most of the application of 5G arises from the ability to transmit data over multiple bitstreams simultaneously between the bandwidth and the transmission capacity connection base station and edge devices.How AI can benefit 5GAI is also a key component of infrastructure to ensure that 5G networks, in all their complexity, can support AI and other application workloads.

Recently published research shows that many wireless operators worldwide are well-equipped to implement AI for their 5G and other networks.For the next generation of distributed AI applications to work effectively, 5G networks need to be constantly self-healing, self-managing, self-protecting, self-repairing, and self-optimizing.It relies on embedding machine learning and other AI models to automate application-level traffic routing, service quality assurance, performance management, root cause analysis, and other operational tasks.

We have written this post with the help of Artificial Intelligence experts; let’s have a look at how Fuzzy Logic describes such situations in Artificial Intelligence.

Recently we saw screenshot that became viral and thought it was free PR to the concerned organization but it might have done some damage to bots and sure they may be heading to file some defamation suit in some courts.Now the story, this organization is into financial services providing payment services.

In the screenshot, the bot greets the users to ask a question and the user responds with a message that “I got scammed” and the bot responds with message ‘Great!’The automated responses may turn weird at times and it may hurt the user more than the actual pain that made him to get in touch via the support portal.

The virtual assistants can help in avoiding human interactions with instant responses and they are available 24/7.

The caveat is on picking right processes that can be enabled with conversational AI via bots.As a start, Bots work without hassles with closed end options, like cancelling an order or track where the shipment currently etc.

and further issues can be escalated to human interventionIt helps in managing enterprise stakeholders and smart workforce management via tools to update vacations, book conference rooms, and record expenses, get policy guideline clarifications etc.The bots also work well for enhancing process efficiency by answering questions based on pre-loaded intelligence like getting clarifications around legal documents, policies, safety guidelines, etc.Bots also do a wonderful job in answering information around processed data, like a quick glimpse of financials, sales figures, competitor information, and equity updates etc.

and can be a wonderful assistant to CXOs.The major places not to leverage bots is around areas constrained by languages, emergency updates/clarifications, and emotionally sensitive areas.The best way gets start with Bot implementation:At OptiSol, we have center of excellence focused on AI and ML services and as part of that practice, we have built voice and text bots across verticals.