Data processing

The Internet of Things (IoT) has ushered in a new era of connectivity, allowing a multitude of devices to communicate and share data. However, the vast and diverse nature of IoT data sources poses significant challenges in terms of data accuracy and consistency. Data fusion and management have emerged as critical components in addressing these challenges, ensuring that the information collected from IoT devices is reliable and useful. In this technical article, we delve into key aspects of data fusion and management in…

One of the prominent challenges within enterprise operations revolves around the intricacies and complexities of the data ecosystem. The presence of diverse data sources or in different platforms and the utilization of various Extract, Transform, Load (ETL) tools to ingest and transform data create a complex landscape. There was a need for streamlining these processes effectively, ensuring that business users can readily access and utilize the data for informed decision-making.  Microsoft Fabric, a comprehensive data…

Data has risen to become the most valuable resource in the digital age. A massive amount of data needs to be gathered, processed, and analyzed in real-time as a result of the Internet of Things (IoT), artificial intelligence, and cloud computing’s exponential growth. The traditional cloud computing infrastructure, while powerful, has issues with latency, bandwidth limitations, and data privacy. Edge computing, a revolutionary paradigm that provides a decentralized and effective response to the constantly growing demands…

AI holds significant promise for the IoT, but running these models on IoT semiconductors is challenging. These devices’ limited hardware makes running intelligent software locally difficult. Recent breakthroughs in neuromorphic computing (NC) could change that. Even outside the IoT, AI faces a scalability problem. Running larger, more complex algorithms with conventional computing consumes a lot of energy. The strain on power management semiconductors aside, this energy usage leads to sustainability and cost…

In the dynamic world of Information Technology (IT), the architecture and frameworks that power web applications have undergone significant evolution. However, one paradigm that has stood the test of time and continues to be a cornerstone in web development is the LAMP stack. The acronym LAMP stands for Linux, Apache, MySQL, and PHP/Python/Perl, representing a powerful combination of open-source technologies that work synergistically to create robust and scalable web applications. Linux The foundation of the LAMP stack is…

In the era of information overload, sifting through vast amounts of data to provide accurate search results in an engaging and comprehensible manner has become an uphill battle. Traditional search enhancement techniques often fall short when it comes to complex queries and the high demand brought by cutting-edge technologies like ChatGPT. This is where Graph Retrieval-Augmented Generation (RAG) steps in. Graph RAG technique is based on knowledge graphs. It combines knowledge graphs with large language models (LLMs) to…

Wearable technology has become increasingly prevalent in today's tech-savvy world, seamlessly integrating into our daily lives. These devices, such as smartwatches, fitness trackers, and augmented reality glasses, have evolved beyond simple fitness monitoring and notifications. A crucial component in enhancing the capabilities of wearable devices is cloud computing. By connecting wearable devices to the cloud, users can unlock a multitude of functionalities and benefits. The Wearable Revolution The wearable technology…

In the modern digital epoch, the importance of data management can hardly be overstated. Data is no longer just an operational byproduct but the lifeblood of organizations, fueling everything from strategic decisions to customer interactions. However, in this race for data-driven insights, data privacy often emerges as the jigsaw piece that doesn't quite fit. The recent uptick in consumer awareness, enabled by social media and news cycles, further adds to the urgency surrounding data privacy issues. High-profile data…

The Proof Is in the Preparation Training an AI model might sound easy: give a neural network some data and bam, you got yourself an AI. This is far from the truth and there are numerous factors that go into developing the right model for the right job. Developing a quality AI deployment is 90% in the prep coupled with continuous iterations and constant monitoring. Successfully developing and implementing AI systems is a complex process fraught with potential pitfalls. These shortcomings can lead to suboptimal outcomes,…

Maybe you’ve noticed the world has dumped the internet, mobile, social, cloud, and even crypto in favor of an obsession with generative AI. But is there more to generative AI than a fancy demo on Twitter? And how will it impact data?  Let’s assess. How Generative AI Will Disrupt Data With the advent of generative AI, large language models became much more useful to the vast majority of humans.  Need a drawing of a dinosaur riding a unicycle for your three-year-old’s birthday party? Done. How about a draft of an email to…