Industry 4.0 Advisery Services
Get recommendations from our Advisory Services before you invest your cost and efforts in IoT. Industry 4.0 Enabler!
Industry 4.0 Consulting
Industry 4.0 is the modern phase of revolution in manufacturing industries to gain the value of digital and physical together by automating the processes, predictions and plannings. Smart Manufacturing is the key goal of modern enterprises to enable the visibility and traceability of production operations, performance monitoring and predictive maintenance. Industrial IoT is the foundation for Smart Manufacturing. We help Small and Medium Enterprises to adopt Smart Manufacturing model at lowest investment possible.
If you want to take control on your production operations and standout amid competitions, please call us today.
Digital Manufacturing
Manufacturing is vast and complex in operations. The production performance is critical to meet the demand and high profitability. You must measure the performance metrics to understand your goal and optimize opportunities. You need experts who understand your production processes and IoT technologies to measure the Manufacturing Metrics at realtime. Talk to us! Empower your business.
IoT Strategy Consulting
Industry 4.0 is the modern phase of revolution in manufacturing industries to gain the value of digital and physical together by automating the processes, predictions and plannings. Smart Manufacturing is the key goal of modern enterprises to enable the visibility and traceability of production operations, performance monitoring and predictive maintenance. Industrial IoT is the foundation for Smart Manufacturing. We help Small and Medium Enterprises to adopt Smart Manufacturing model at lowest investment possible.
If you want to take control on your production operations and standout amid competitions, please call us today.
IoT Implementation
Manufacturing is vast and complex in operations. The production performance is critical to meet the demand and high profitability. You must measure the performance metrics to understand your goal and optimize opportunities. You need experts who understand your production processes and IoT technologies to measure the Manufacturing Metrics at realtime. Talk to us! Empower your business.
Data Intelligence Services
Digital Transformation required data driven intelligence to deliver the value to business. Internet of Things and Connected Workplace delivers plenty of data for processing. You need an expert to understand the business model to identify the right Artificial Intelligence Solution and Algorithms to drive the AI adoption. As an expert in Internet of Things and Artificial Intelligence, our team understand the needs and deliver as promised.
Not sure where to start, just write to us. We help you to validate your ideas.
Fogwing Professional Services
You may already have well articulated connected business goals, IoT strategy, devices but need scalable Industrial IoT Platform and Implementation Support, you could reach our Professional Service team who are specialized in gluing the pieces of the IoT puzzle to accomplish the goals.
If you want know more and need help, write to us.
Why Datalogy?
Digital Transformation
Expert Skillsets
Industry Domain Expertise
Timely & Quality Delivery
Solution Accelerators
Blogs
Data-Driven Superlative Customer Experience
Consumers are increasingly seeking seamless digital experiences, particularly given that many of our daily needs can be addressed with a single click. As a result, many individuals have become accustomed to using digital, from purchasing goods online to making payments using banking apps. However, when it comes to buying insurance,
Top 9 Ways AI Is Transforming the Retail Industry
With large-scale digitalisation, it’s safe to say that AI is becoming an indispensable part of our everyday life. A prominent example of the same could be, recommendations. If you are into buying e-books on Amazon, you’ll notice you get suggestions based on your recent purchases or you might’ve noticed how
6 Steps that are Key to Data Preparation in Machine Learning
Typically, raw data cannot be used directly in predictive modelling projects like classification or regression. For algorithms to function, data must be in numbers, and statistical noise and errors must be corrected, while some algorithms impose requirements on data. Raw data, clearly, is prohibited by all means. As a result,