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How The Arrival Of 5G is Going To Impact Businesses All Around The Globe!

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Though 5G technology is all set to enhance business connections and performance dramatically, it still remains a work in progress. The statistics published by the Global System for Mobile Communications show that by 2025, 5G can bring in 1.8 billion connections and therefore the proportion is about to grow to 56% by 2025. The 5G revolution is going to empower applications with faster connectivity and is going to be benefiting industry, instead of consumers alone, and therefore the adoption of 5G is going to sweep businesses and enterprises alike. Low latency and ultrafast connectivity will effectively transform factory floors, from remote real-time monitoring of robots and processes to the utilization of 5G-powered simulations in augmented reality to raised workforce training and increased...

Digital Tools Accelerating Supply Chain and Operations

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Did we ever imagine Digital Tools can help Supply Chain management? COVID-19 has carved the path to leverage utilization of digital tools to survive any business operations. The field of work which we knew needs continuous access to factory, people and resources can be also done remotely. Yes!! You heard it right. In these trying times, innovation and technology have made work simplified. To decrease future shocks and be ready to map the supply chain for any situation, we have to turn our heads towards digital tools and move away from conventional procedures. Due to the interlink of supply chain networks, even smallest disturbance will create a dramatic impact on global supply chain network. Evolution of digital tools and its impact has flickered adaptation new technologies. The technologi...

IoT: Driving the Patent Growth Story in India

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Overview “IoT: Driving the Patent Growth Story in India” provides an understanding of the key trends of patent filing in the Internet of Things or IoT domain in India. This report marks the first in the series of patent filing trends in India across emerging technologies, we would continue to track patent filing across other emerging technologies in our next set of reports. Key highlights for the report includes: 6,000 IoT patents filed in India over 2009-2019 40% of the IoT patents filed in India were first filed in the US (originated in the US) 30% of IoT patents were filed by electronics and electrical equipment manufacturers followed by Semiconductor Device Manufacturers which accounted for over 20% 13% of the patents were filed by IT/ITES companies IoT patents find application across ...

How to Combine IoT with Product Lifecycle Management Efficiently

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Before Ford introduced the moving conveyor to the assembly line, it took workers around 12 hours to assemble a Model T car. However, in 1908, when the conveyor belt was added, workers could put a Model T together in 93 minutes. A more recent game-changer for manufacturers was Product Lifecycle Management or PLM. It offered a centralized hub where manufacturers can make all their design and manufacturing decisions, which replaced an inefficient siloed system. Just as technology affects our processes, it also enhances our existing technology. This is evident when examining how IoT will affect PLM, improving the final products, and helping companies be more customer-centric. Let’s look at some benefits of PLM before seeing how to combine it with IoT technology. Benefits of PLM PLM technology ...

End of Biometric attendance. Is Facial Recognition next?

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Given the highly contagious Covid-19 threat, the use of biometric machines has come under scanner Consider this: A steel plant has thousands of contract workers. The plant has now restarted after the pandemic. The bio-metric machine used at the security is now a risk. However, a reliable alternative is needed to check the impostors entering the plant in place of actual workers. Could facial recognition attendance system be an alternative to bio-metrics ? Face recognition As facial recognition technology adoption by mobile companies demonstrates, facial recognition is emerging as a hands-free way to gain access. However, facial recognition algorithms must still overcome some significant challenges to become mainstream. Challenges for Adaption of Facial Recognition Costs Advanced technology ...

Decoding Data Lakes

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 Those familiar with the Business Intelligence space will know of the role of a Data Warehouse. A data warehouse accumulates data from multiple sources, with the objective of providing analytics that drive business decisions.  In today’s world of big data, we have started hearing a lot about data lakes. Data lakes, like a data warehouse, is a storage repository for vast amount of data.  So, then, is a data lake a different implementation of the data warehouse?  In fact, it is quite different. The term data lakes was coined by James Dixon, former CTO of Pentaho.  According to Dixon, data warehousing led to information silos, which could be overcome by data lakes. The data lake metaphor emerged because ‘lakes’ are a great concept to explain one of the basic principles of big data – the...

The top 10 characteristics needed by leaders to adapt to changing technology- AI and YOU

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There may be various reasons for resistance to AI within your organization. This resistance leads to slower adoption, reluctance to fully uncover the true potential of the human-machine collaboration or even no adoption of technology at all.   Leaders must ensure they have compelling, meaningful answers to burning questions, strategize and plan well in advance and also begin by first developing characteristics that will aid in their own ability to adopt AI at the leadership level.   The top 10 characteristics defining your ability to adopt AI are: Adaptability– The ability of the organization to keep pace with new developments in AI must be kept at a close watch. Applicability- Successful AI innovation depends on how well it is applied to a given business context. Data Mana...

Edge Computing: Part II – Cost & security, Standards, Technical

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This is the second part of a two-part blog on the questions raised during an Edge Computing Webinar that NASSCOM hosted on Apr 16, 2020. Since many questions from the attendees were unanswered, the panellist have made an effort to address these offline. This post covers the questions on Cost & security, Standards, Technical aspects of edge. Part I of the post can be accessed here: Use cases, Start-ups, Go-To-Market   COST & SECURITY “In comparison with Cloud, Edge computing is expensive in terms of hardware & infra management” – what is your point of view? The edge computing is expensive in terms of hardware and infra, but you need to look at it holistically. You must consider the cost associated with the network traffic, if you are to process all the gathered ...

The 10 Most Successful Cryptocurrency Business Models Of Today

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There are tons of million crypto-based small businesses running around the world, and 6,43,000 more are started every month. So if you’ve got a cryptocurrency or blockchain business idea and you want to stand out from the crowd and succeed, you better have a unique value proposition, diverse revenue streams, and loads of creativity. To inspire you, we’ve rounded up 10 unique business models that have proven their model works. From healthcare to fintech, these companies are rethinking revenue and creating compelling value for parties on both sides of the transaction. The crypto business model is at the core of any successful startup because no matter how cool an idea is or how unique something may seem, a startup must have a new way of making money that is worthy enough for future investmen...

The Key to Building Data Pipelines for Machine Learning: Support for Multiple Engines

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As a consumer of goods and services, you experience the results of machine learning (ML) whenever the institutions you rely on use ML processes to run their operations. You may receive a text message from a bank requiring verification after the bank has paused a credit card transaction. Or, an online travel site may send you an email that offers personalized accommodations for your next personal or business trip. The work that happens behind the scenes to facilitate these experiences can be difficult to fully realize or appreciate. An important portion of that work is done by the data engineering teams that build the data pipelines to help train and deploy those ML models. Once focused on building pipelines to support traditional data warehouses, today’s data engineering teams now build mo...