Author: Mr. Harshal Trivedi, Mr. Rohan Mishra
It’s 2021, we have entered the age where Digitalization has peaked and legacy monitoring technology and its operations are becoming outdated and very less effective & efficient. As per TUSKER AI Experts, improved vision intelligence and automation will dictate which providers lead the pack. We are focusing on improving the user experience of “AI-Enthusiasts, Developers and other Business C-Suite Roles who want to experiment with AI and add values to Image/Video. TUSKER AI is on a mission universally to empower the entire Business Community with the Power of NO-CODE AI and help their skilled team to Unleash & Automate their End-to-End Computer Vision Journey without writing a single line of code within a few clicks.
AIOps & MLOps are the next stages in the evolution of IT Automation and its respective analytics. The exponential incremental rate in Vision ITOps needs to be retained. The Performance examining platforms are grappling with an exponentially larger size of data i.e image, video than ever before. As the world is witnessing the exponential growth numbers of IoT devices, surveillance, digitalization, applications, that means analyzing data has become too complex for manual processes.
AIOps-DLOps in Computer Vision is a trending term and you must’ve heard this term over and over again as the next big catch in handling and managing your system operations and administration in a very automated and optimal way. But why is TUSKER’s AIOps best for you and why should you care about it?
The Surveillance Industry is booming and with comes its digital transformation for businesses, its Video Intelligence Solution that requires AIOps. This leads to the push for enterprise agility that comes with “certain-complexities” as an undesirable by-product. It is extremely difficult for Business Owners to keep up with adaptability. As per TUSKER Leaders, Agility and Automation involving Artificial and Vision Intelligence are core to business innovation and enriching customer experiences.
Executing this being a business owner while having zero industrial-coding knowledge creates a high ephemeral phase of IT-Workloads and AI-Processes. The world is advancing on a daily basis in terms of distributed architectures, multi-cloud, containers, end-to-end deployments, and microservices, and other long-haul development environment scenarios. These above-stated advancements can be termed barriers for out-of-the domain business owners. These advancements have created copious, multi-dimensional data flows that eventually create excessive disruption and stifle IT’s capability to identify flaws.
Business Owners and other Non-Technical Communities are in a dire need of involving AI and Computer Vision for the sake of having emerging Automation in their current Operational environment at scale. But when you start experimenting with AI in order to achieve your Vision Intelligence use-case, they come across as having distinguished layers of Technological barriers, and this forces them and drives them to have core dependencies on certain external development resources. Moreover, your current IT Infrastructure is being shared among and across an ever-expanding set of applications. If you, being the business owner, want to amend any type of change to one of those services, applications, or the architecture beneath, then it results in many Technical liabilities that are beyond the point where a non-tech person can figure out We need someone to do it for us. And that’s when TUSKER steps in.
Dimension A: Deep learning algorithms can parse a very large amount of noisy data and also provide user’s Ops teams with a curated sample of clean data. Considering this, TUSKER AI covers this aspect to make it easier to extract trustworthy business insights so that users can make effective decisions.
Dimension B: End-to-end pattern discovery — this phase generally occurs after a data set has been appropriately curated. It involves using a variety of DL techniques to extract patterns.
Dimension C: Inference — With TUSKER AIOps, a range of inference algorithms to draw conclusions from patterns found in the data is implemented automatically.
Dimension D: Automation at Scale — Use-cases achieve its power by automating problem-solving and operational decisions. The reason behind this is that the current modern IT systems are so complex and rapid-changing that certain automated systems need to be intelligent & data-driven. They need deep learning to respond to rapidly changing conditions in an adaptive fashion.
All the above dimensions of AIOps are covered with the Automation aspect of TUSKER AI.
Witnessing the surge into complexity and volumes of Image/Video faced by modern DevOps teams mean that manual processes can no longer handle IT operations without help. TUSKER aims to leverage AI and Computer Vision with a view to converting large-volume data streams into insights to act on.
TUSKER’s NO-CODE AI is a Next-Gen End-to-End Vision Intelligence Platform that empowers Innovators all over the world to Unleash & Automate their Entire Computer Vision Journey with our Developer’s Toolkit in only one click. We are working with a Vision to make AI more accessible than ever for all to drive results universally!
TUSKER AI Product delivers end-to-end automation of Vision analytics, deep learning models, and enables the agility needed to accelerate Business verticals using our Automated AI-Engine.
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