rathu eliyak | virtualization technology

Why Open Source NLP Libraries Have the sting on Cloud Services

The business value of tongue processing (NLP) is indisputable, and there’s never been a time this technology has proven to be so useful. Just think: within the rapid shift to remote add response to the worldwide coronavirus pandemic, companies have leveraged NLP for everything from chatbots wont to effectively onboard workers remotely, to securely interfacing with patients in healthcare settings.

It’s especially encouraging to ascertain that, despite IT budgets being on a downturn (Gartner), enterprise leaders haven't shied faraway from NLP investments. In fact, consistent with new research, survey respondents across industries, company sizes, and geographic locations reported increases in their organization’s NLP technology budgets from 10-30% more compared to last year.

With the proliferation of NLP services within the cloud, companies needn't even install and manage open source NLP libraries. In fact, 77% of all survey respondents indicated that they use a minimum of one among the NLP cloud services listed (Google, Amazon, Azure, and IBM). But, despite their popularity and availability, cloud services don't come without challenges – and typically include a hefty tag.

Roughly a 3rd (34%) of all technical leaders cited data privacy and security as a key challenge for cloud service adoption. this will be especially poignant in highly-regulated industries like healthcare and financial services, during which users in many cases are unable or unwilling to share third-party data. In fact, privacy regulations in healthcare require that users strip (medical) records of any protected health information (PHI) – a process is understood as de-identification. While this process has largely been a manual and labor intensive process, open-source NLP software is often wont to help automate this task.

Additionally, 32% of respondents during this group cited difficulty customizing models using cloud services. Language is extremely application- and domain-specific, so models often must be customized. this will be especially painful when a cloud-based service is trained for general uses of words but doesn't understand the way to recognize or disambiguate terms-of-art for a selected domain. for instance, speech-to-text services for video transcripts might identify the word “doctor” for nearly every instance of “Docker,” which degrades the accuracy of cloud-based solutions.

Security and model customization are factors that contribute to difficulties deploying NLP cloud services, but not surprisingly, the highest concern cited by all respondents is that the cost. These services grow costlier because the collection of documents does. Here’s how a couple of of those services describe their pricing:

Amazon: The company’s Comprehend service for Entity Recognition, Sentiment Analysis, Syntax Analysis, Key Phrase Extraction, and Language Detection, is measured in units of 100 characters, with a 300 character minimum charge per request.

Google: The tongue API service that garnered the foremost users, consistent with the survey results, charges in terms of ‘units.’ Each document sent to the API for analysis accounts for a minimum of one unit.

Microsoft: Azure Text Records correspond to the amount of 1,000-character units within a document that's provided as input to a Text Analytics API request.

It’s easy to ascertain how the value can add up when using NLP cloud services, it’s likely that users can pay thousands of dollars before even going live. While it’s easy to urge started, it’s hard to scale, which is partially why more survey respondents within the exploratory phase of NLP considered cloud services, while those skilled in their journey address open source options.

No solution may be a one-size-fits-all, but when it involves NLP, open-source NLP libraries have some clear advantages over cloud offerings. Given the aforementioned challenges, including the trending commodification of deep learning, open-source libraries for NLP provide relatively simple use and extensibility per application, proving to be a less expensive solution. the power to coach models – something not achievable with a cloud solution – also comes back to play when considering the requirements of industries, like healthcare and financial services, which will not be ready to share documents.

This is likely why a 3rd of survey respondents indicated that they use Spark NLP, an open-source library built on top of Apache Spark, and features a Python API. 1 / 4 indicated that they use spaCy, one of the foremost popular open-source NLP libraries within the Python ecosystem, and quite half all respondents (53%) used a minimum of one among these two libraries. In other recently conducted surveys on data science and machine learning tools, these two libraries also finished high. this is often significant, given Spark NLP is merely three years old, compared to skilled libraries and cloud services.

In addition to cost constraints, cloud services can’t train models: you'll have a cloud API, but you'll need other information. Libraries, like Spark NLP, are trainable. This comes back to play when considering domain-specific systems – for healthcare and financial services, for instance – that rely heavily on their own jargon and terminologies, and should not be ready to share documents.

When choosing the proper NLP solution for your organization, it is sensible to explore a variety of offerings from both open source libraries and cloud solutions. in any case – open-source NLP libraries accompany challenges of their own – language support, scalability, and integration issues are all areas for improvement, consistent with the survey results. That said, cloud providers have lagged when it involves customizing solutions, extensibility, and pricing. As a result, cloud-based NLP services are generally perceived as a low-accuracy, high-cost option. it'll be interesting to ascertain how cloud providers answer these market needs or if open-source libraries will prevail.

5 Reasons Supply Chain Management is Evolving due to Cloud Technology

The advancement of cloud technology brings with it major improvements to provide chain management. Offering a good range of solutions and developments, modern cloud software goes way beyond what was previously thought possible. Cloud computing technology is an everyday facet of the fashionable business and will be utilized to its full potential. Particularly during a post-pandemic world, new uses still be found for cloud software.

To do so, it’s important to assess where the advantages of cloud technology dwell in supply chain management. the supply of cloud-based software solutions for supply chain management has many benefits. this text will consider five benefits of cloud technology; analytics, connectivity, scalability, cost reduction, and integration.

Advanced Analytics Insights

Wave goodbye to long-winded data analysis. Removing the necessity for data entry personnel and data analysts, cloud technology offers efficient and understandable analytics. This provides you with swift access to analytic information and reduces the prices involved in human data analysis. Two areas within a business that benefits greatly from the utilization of analytical insight, in several ways, are order management systems and marketing.

The order management system (OMS) of a business is a neighborhood that basically benefits from the insightful analysis. Maintaining a streamlined OMS is useful during a number of the way, but to make sure it stays streamlined, analytics are vital.

Analytics provide insight into high and low-performing products by tracking and monitoring all orders. If you provide a good sort of products then knowing where the success, profit margins, and potential losses lie is crucial. Not only can analytics assist you to monitor and manage inventory, but they will assist you to sell it, too.

Marketing relies heavily on analytics. Analytics provides information on your customers, like age, location, and gender, also as showing which products are fashionable which groups. Using this information, it's possible to create an in depth and thorough map of where your strengths and weaknesses lie.

Furthermore, analytics plays a key role in social media marketing and therefore the creation of SEO content. Analytics insights are easily the most important revolution in marketing By using these insights to make targeted advertising, your business can cash in on this. Learn to like advanced analytics


The world in 2020 is all about connectivity, and provide chain management is not any different. With numerous moving parts and separate systems within a business, cloud technology provides the solutions needed to bring them together.

By allowing everyone to access the knowledge and resources they have, once they need them, cloud systems help streamline processes that previously would are time-consuming and clunky. Cloud-based digital asset management has certainly contributed to the stratospheric rise in remote working. Furthermore, improved connectivity means improved delivery times and quicker communication with customers.

As the 2020 remote revolution continues, the necessity for cloud technology has significantly expanded. With 94% of enterprises using cloud services, it’s clear to ascertain that the cloud is an integral part of working life. By providing access to information from anywhere and on just about any device, cloud technology has enabled people to figure from home everywhere in the world.

Whether recently made remote thanks to Covid-19, or a long-term remote professional, using cloud software is what makes it possible to figure faraway from the office. When 42% of the U.S labor pool is functioning from home, having the ability to access what you would like once you need it enables employees to continue doing their jobs to the simplest of their ability.

Providing world-class services for patrons is not an easy feat. Consumers expect ever-faster rotation and delivery times, more efficient customer service procedures, and instant access to the products they need.

When customers feel disconnected from a corporation, they’re much less likely to shop for a product. Cloud systems enable greater connectivity between business and customer by aiding with communication. A study from Brightpearl found over 70% of consumers would look for an item elsewhere if it had been immediately unavailable in one place. That shows how important it's to form sure products are ready and expecting buyers.

Cloud technology aids connectivity which aids customer experience, putting your business before the competition.


Ensuring your business grows with the days is significant to success. No more does one got to worry about keeping your systems up so far with growth, the cloud can roll in the hay for you! When implementing future software and systems, it's important to avoid creating additional work for yourself.

Having to manually update information or software is often time-consuming and detract from more pressing issues. By taking the time to take a position in easily-scalable cloud software from the beginning, you'll be assured that tracking your business because it grows is going to be easy and manageable.

There are some ways cloud software can ease the transition upwards as your business flies. By protecting supply chain managers from volatile markets, a rapid climb is often achieved. rather than long order processing times, supply chain managers can alter the supply of services and goods instantly. Cloud software also can help with change control tracking.

This quick reaction time is critical as a world of instant gratification develops. If the merchandise isn’t there, the customer will look elsewhere. Insulate yourself from customer churn by using cloud systems to make sure your products are where they have to be, whilst your business grows.

As well as assisting with internal systems, using techniques like implementing post-purchase surveys helps you retain track of your customer experience. instead of losing customers during expansion, instead, you'll retain and attract new customers by meeting their expectations, thus encouraging further growth.

Cost Reduction

When it’s possible to outsource routine and admin work to the cloud, it is sensible from both an efficiency and price reduction point of view. Automating time-consuming yet simple data tasks like entry, analysis, and security, greatly reduce their resource consumption. By reducing the operational costs of your business, you'll put greater investment into growth and improvement.

One example of how cloud software can assist with cost reduction is in inventory management. Why is inventory management important? Well, poorly managed inventory is certainly a method to waste resources. As your business grows, poorly managed inventory will see wastage in terms of stock and resources, thus cutting into your profit margins.

By contrast, well-managed inventory will aid your growth and success, also as removing layers of stress and wasted time. By utilizing cloud technology within inventory management, your business can reduce the utilization of valuable resources and find longer for important tasks.

When trying to find how to streamline your inventory management system, cloud technology should be the primary solution you explore. If you create use of omnichannel retail, an automatic cloud system can assist you to save time on exploring sales within different channels. That’s by compiling them into easy to navigate data sets.

Furthermore, you'll avoid wasting money on overstocking while maintaining an increasing demand for your products. Integration

The final point to be explored during this article, integration is one of the foremost useful features of cloud technology. As explored above, there are some ways cloud software is often made useful, and most of them believe integration to a point. From customer experience to internal processes, integrated aspects of your business can provide fascinating data analytics also assist you to see where to require subsequent steps.

There are many areas within supply chain management that enjoy integration. Whether it’s tracking sales and inventory or assessing customer satisfaction and knowledge. altogether cases having the ability to ascertain data sets from across different systems is incredibly useful.

With numerous moving parts within the availability chain, keeping things consistent manually are often a challenge. By making use of Electronic Data Interchange (EDI) through cloud software, you'll standardize and automate anything from invoices to get orders and share these easily with those that got to know.

A particularly useful factor is the ability to integrate customer experience into just about everything you are doing. cloud technology has the ability to quickly affect customer complaints requires transparent knowledge of systems for troubleshooting and repair. for instance, integrating escalation management into your supply chain helps shine a light-weight on issues that require resolving for smooth operations.

When those within the chain of management can easily answer queries and difficulties, customers are left feeling satisfied and your business can identify problems early. Create the experience customers expect with better item data. information technology education

 Integration is at the core of cloud technology. Conclusion

The evolution of supply chain management through cloud technology is way from complete. As technology continues to enhance, there'll be more practical applications of it found within the business world.

When considering how cloud technology can help your business move forward, remember the advantages of analytics and integration, cost reduction, and scalability. Explore the marketplace for cloud software options that are best suited to your business and see how the cloud can clear the way for your business to require its next steps.

Your Approval Workflows for Cloud Resource Provisioning Are Costing You Money

ITSM tools like ServiceNow have capabilities for creating approval workflows and processes for change control tracking like cloud resource provisioning. Managers and C-level executives love the governance this provides, as they will use this to form sure they need full compliance with regulations and laws while also preventing rogue IT usage across the enterprise. Without these approval workflows, a user could provide an enormous virtual machine without anyone knowing about it, or a firewall change could inadvertently take down your network. Surely these are good uses of approvals, right?

Training Users To Spend Money

One downside I’ve covered before is that these processes often slow users down, a dalliance, or leading them to bypass the system altogether. Another consequence of using approval workflows for cloud resource provisioning is that it trains your users to always provide the maximum amount possible. for instance, let’s say you've got an approval workflow that says your cloud operations team must approve all new VM requests in AWS, also as all VM size change requests. If I’m a user, and I’m on the fence about needing an m5.large or an m5.xlarge server, I'd also request an m5.xlarge server now rather than having to submit another request to vary the dimensions if I want it. Each takes stock doubles the value – so this single VM is now costing the corporate twice the maximum amount simply because the user doesn’t want to travel through additional approvals!

Let’s check out another example that we at ParkMyCloud are very conversant in, which is popping off resources overnight. a corporation might found out a workflow that resources with a schedule that shuts them down overnight requires approval to show back on outside of business hours. If a user has the selection of not applying that schedule versus needing the approval to show it on if they have it, they’ll do whatever it takes to not schedule that resource. This results in unnecessary cloud waste.

Give Users The Tools To Succeed

At ParkMyCloud, we believe in guardrails and RBAC. However, we also know that empowering users to manage their own servers and databases through self-service portal results in more scheduling, rightsizing, and price savings. By allowing a user to override a scheduled instance for a few hours once they need it rather than hassling their IT manager for approval, a user can get their job done while still allowing the instance to pack up.

Approval workflows for cloud resource provisioning, resource scheduling, and other infrastructure tasks do help to a particular extent. Compliance and regulatory adherence may be a necessity. thereupon said, don’t be the CloudOps team that starts putting approval processes on every minor detail or dev server, or you’re getting to hinder your users quite help them. Cost savings may be a team effort, so once you implement tools, search for a self-service model to assist you to manage resources while empowering users. virtualization technology you'll economize while making users happy, which may be a win-win for your enterprise.