Enterprises retain vast amounts of data from every aspect of their business, mostly for compliance purposes. The siloed data holds a wealth of information, which can boost business growth. But, there are myriad complexities in integrating the data from different systems to make sense of them.
Data that is yet to be utilized is considered as dark data. To derive insights from dark data, it needs to be extracted, collated, processed for accuracy, validity & consistency, and stored in an accessible form.
At Srijan, we can help you at every stage of the data journey - right from data extraction, integration and storage into data platforms and the architecture to enable them, to build analytical solutions and platforms.
Enterprises that have embarked on AI & ML often find it hard to get value out of the AI initiatives. Most are still in research and proof of concept stages. Only a fraction of the initiatives go into Production, due to challenges in productionalizing and issues in deriving continuous value from analytics with increasingly changing data.
We can help you build AI platforms that leverage Computer Vision, NLP, core ML algorithms, Personalization, Voice & Speech and related technologies to offer predictive and prescriptive analytical solutions for your business. We can help move AI from Research to Production with MLOps, including automated retraining of models. Our ML Ops practice ensures end-to-end automation and monitoring of these ML platforms as well.
Due to the proliferation of many systems and applications in an enterprise (On-Prem, SaaS, Cloud, 2nd/3rd party apps), there are integration challenges with multiple data sources and pipelines and managing data orchestration into the data platform. Secure and reliable data flow is a challenging task. And with more real-time use case(s), implementing and scaling up Streaming engines for real-time / near real-time needs requires specialized skills.
At Srijan, we can partner with you to implement Data solutions and Streaming platforms. Our experts are well versed in Data Modernization through' new generation Data Platforms on cloud leveraging cloud native and managed services, managing batch/streaming data orchestration and enabling self-service via APIs. We can help implement a streaming platform to efficiently manage event streaming data across the enterprise with Apache Kafka/Confluent platform and many real-time streaming applications.
Today, IoT devices are used across industries to collect different types of data. Enterprises leverage this IoT data to build and extend apps for their users. For this to happen, the IoT devices must be integrated with IoT platforms so that the different data streams can be stored, processed and analyzed.
At Srijan, we can connect your IoT devices to the cloud environment so that data is synced and stored seamlessly. We can also connect device data in real-time to your apps through APIs so that reporting and analytics can be carried out smoothly. Leverage our expertise to implement IoT data platforms to easily integrate various devices, across drone and satellite images based application platforms, health-care devices, manufacturing and industrial sensors etc.
The ways in which information is collected have expanded beyond text inputs. Today, information can be automatically extracted from voice messages and transcripts using intelligent technologies such as OCR and NLP. Similarly, vision solutions powered by AI/ML are widely used to detect and categorize objects, extend Computer Vision use cases across Beauty, Retail etc.
We can help you implement such cutting edge features by leveraging leading Cloud platforms like GCP and AWS, which comes with purpose-built capabilities and tools to build, train and deploy AI/ML models. These include Advanced Speech Recognition, Vision applications leveraging Computer Vision and Deep learning and much more.
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