Increasing organizations are getting Chief Digital Officers or someone at the CXO level to focus purely on digitization. The digital officers primarily focus on the adoption of digital technologies and transformation from the legacy ecosystem. The transformation involves two different aspects, one via behavioral/mindset and the other one on the technology ecosystem of the organization.

“At least 40% of all businesses will die in the next 10 years… If they don’t figure out how to change their entire company to accommodate new technologies.” — JOHN CHAMBERS, EXECUTIVE CHAIRMAN, CISCO SYSTEM

The tech modernization via CX modernization, tech upgrade…


Machine learning is changing the future of supply chain management. Increasing costs, Revenue losses, Bad customer service, and reducing profits are all By-product of operational inefficiencies. For the Supply chain business to survive in today’s competitive and complex market, Machine Learning (ML) and Artificial Intelligence (AI) are considered as the most promising technologies available.

Gartner says by 2023, at least 50% of large global companies will be using AI, advanced analytics and IoT in supply chain operations.

The ability for the system to analyse the data, learn, and improve automatically from experience, without any programming is done through…


Microsoft Azure commonly referred to as Azure, is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centres.

“For the sixth consecutive year, Gartner has positioned Microsoft as a Leader in the Magic Quadrant for Cloud Infrastructure as a Service (IaaS), Worldwide.”

Azure Cloud Services is an example of a platform as a service (PaaS). Like Azure App Service, this technology is designed to support applications that are scalable, reliable, and inexpensive to operate. …

Kubernetes versus Docker — A topic that has been discussed numerous times in the cloud industry. Irrespective of your technical or non-technical background, this article will help you understand the key differences and help you with your business decision if you were to make one.

To put things in perspective, comparing both is like comparing apples to oranges. Both can function without each other, however, can benefit greatly from each other.

Both these are essential tools for a developer. We can also build DevOps Using Jenkins, Docker, and Kubernetes. …



AWS offers a suite of DevOps tools that we can pick and tailor to meet organization workflows. AWS DevOps tools help us to plan and collaborate for higher velocity. Azure DevOps for All the Industries

This speed enables organizations to better serve their customers and compete more effectively in the market.

A set of flexible services are provided by AWS to enable companies to build and deliver products more quickly using AWS and DevOps practices.

These services simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring your application and infrastructure performance.



Recent developments in the field of training Neural Networks (Deep Learning) and advanced algorithm training platforms like Google’s TensorFlow and hardware accelerators from Intel (OpenVino), Nvidia (TensorRT) etc., have empowered developers to train and optimize complex Neural Networks in small edge devices like Smart Phones or Single Board Computers. This has led to a profusion of initiatives to use such trained models in the domain of Health and Safety (HSE) at the workplace. Here is a summary of initiatives that Optisol Datalabs has been working on in the past year to improve safety and avoid accidents.


What is Flutter?

Flutter is an open-source UI software development kit created by Google. It is used to develop applications for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and the web from a single codebase.

The major components of Flutter include:

Dart platform — Flutter engine — Foundation library — Design-specific widgets

Flutter has become a celebrated platform among developers, entrepreneurs, and users when compared to all other cross-platform tools such as PhoneGap, Xamarin, React Native, and more.

Flutter — it is not just a framework — it is a complete SDK (Software Development Kit). Since being an…


The idea of this project is to build a sentiment analysis model that detects the emotions that underlie a tweet. It makes associations between words and emotions and the aim is to classify the tweets into sentiments like anger, happiness, sadness, enthusiasm etc. rather than the usual sentiment classification that only involves truly contrasting sentiments of Positive and Negative.

We have considered 3 different approaches to build this Social IQ analysis pipeline. They are

  • Universal Sentence Encoder
  • Doc2Vec
  • LSTM

The performance of each of these approaches are explained below.

The Data:

The data can be downloaded from GitHub —


1) What is Azure Data Lake storage?

It’s the enterprise wise repository for big data analytics workloads. Data stored can be of any type and any size.

  • A single store for all data
  • All ranges of data can be stored such as raw data to the highly transformed data

Azure Data Lake Store is a no-limit cloud Data Lake built so enterprises can unlock value from unstructured, semi-structured, and structured data.

Azure Data Lake Analytics is a cloud analytics service for developing and running massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET …

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