Manufacturers have spent years connecting plants, modernizing ERP environments, deploying sensors, and building analytics capabilities as part of their smart manufacturing journey. Yet many organizations still struggle with a more fundamental problem: getting the right operational data into one usable, trusted view.
Chandrakant Deshmukh
Recent Posts
From Smart Manufacturing to Autonomous Manufacturing: Why the Data Foundation Comes First
23 Sept 2026, 01:52:17 / by Chandrakant Deshmukh posted in Manufacturing, IIOT, AIoT
Driving Industry 4.0 with Mastek’s Connected Enterprise Solutions
29 Sept 2025, 09:40:25 / by Chandrakant Deshmukh posted in AI, Data, connected enterprise
Unlocking the Future of Intelligent Enterprises
As industries accelerate toward Industry 4.0, enterprises are challenged to unify IT and OT systems, modernize supply chains, and enable sustainable growth. Mastek’s Connected Enterprise Solutions provide the foundation for this transformation - bridging operational technologies, empowering workforces, and creating intelligent ecosystems that deliver measurable business outcomes.
Convergence of IT and OT: Revolutionizing Factory Automation, Predictive Maintenance, and Analytics in Manufacturing
8 Oct 2024, 01:16:39 / by Chandrakant Deshmukh posted in Manufacturing, Gen AI, ML, IIOT
Digital Transformation to connected enterprise with Emerging Technologies
14 Apr 2023, 01:31:15 / by Chandrakant Deshmukh posted in Digital Transformation, IoT, edge computing
Digital transformation has become a buzzword in recent years as businesses seek to modernize their operations and stay competitive in an increasingly digital world. However, digital transformation is more than just adopting new technologies. It is a strategic and cultural shift that requires organizations to rethink their business models, processes, and customer interactions.
One of the key aspects of digital transformation is the integration of emerging technologies to create a connected enterprise. By leveraging technologies such as the Internet of Things (IoT) and edge computing, businesses can optimize their operations, improve customer experiences, and increase efficiency.
IoT is a network of devices, sensors, and other objects connected to the internet, allowing for real-time data collection and analysis. This technology can be used in various industries, from manufacturing to healthcare to retail. By implementing IoT, businesses can gain valuable insights into their operations, identify inefficiencies, and improve their overall performance.
Edge computing is a distributed computing architecture that brings computation and data storage closer to the data source. This allows for faster processing and reduced latency, making it ideal for real-time applications such as IoT. By implementing edge computing, businesses can improve their response times, reduce bandwidth costs, and improve overall performance.
Businesses must take a strategic approach to implement digital transformation and create a connected enterprise successfully. This involves identifying the best partner to meet their specific needs, developing a roadmap for implementation, and creating a culture of innovation and experimentation.
In conclusion, digital transformation to a connected enterprise with emerging technologies can bring many benefits to businesses, including improved efficiency, enhanced customer experiences, and increased competitiveness. Realizing these benefits at scale becomes possible with ai for digital engineering, which enables seamless integration of intelligent systems, rapid solution prototyping, and accelerated engineering delivery. However, it requires a strategic and cultural shift and careful consideration of the impact on stakeholders.
By embracing digital transformation and its opportunities, businesses can position themselves for success in the connected age.
RPA adoption: transforming the way enterprises work
11 Sept 2019, 01:22:10 / by Chandrakant Deshmukh posted in Artificial Intelligence, RPA, Robotic Automation, Digital Workforce, Intelligent Automation
After 5 years of the first enterprise level implementation of RPA, the recent traction that is being noticed in the corporate world is an indicator of the IT landscape warming up to the concept, and gaining insight into the dynamics of tactical application of robotics.