Blogs

Key Strategies for Success while Integrating Generative AI into Data Warehousing

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Case Study : DevOps & Infrastructure Automation on Public Cloud (Azure)

Azure - DevOps & Infrastructure as a Code (IaC) Digital Transformation Accelerator

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Case Studies

Case Study : Cloud Adoption

Integration platform for integrating with multiple externalvendors, service providers, and data providers.

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Case Studies

Case Study : SRE

System to be able to withstand certain types of failure and remain functional from a client’s perspective.

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Case Studies

Case Study : Power Platform Adoption

The company serves the food, life science research, animal and human nutrition, biopharmaceutical, and veterinary vaccine industries.

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Case Studies

Case Study : Azure Cloud Migration

Major Financial Institution - an investment research firm that provides stock indexes, portfolio risk and performance analytics, and governance tools to institutional investors and hedge funds.

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Case Studies

Case Study : AWS Relational Database Service for a leading Transportation company

Application availability is now 100% with 45% Increase in End-to-End Query performance.

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Case Studies

Case Study : AWS EMR Graviton

Adopting AWS Graviton Processor for delivering the EMR cloud workloads with the best price and performance as a solution.

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Case Studies

Case Study : AWS Relational Database Service

The web application that helps businesses automate and visualize the data quality on different data stores

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Case Studies

Case Study : AWS Product Development

Commodity trading platform on cloud to provide better pricing for clients

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Case Studies

Case study : Business consulting outsourcing

Provide application support across business units for ETRM application

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Case Studies

Case study : ETRM implementation

Project management for implementation of an ETRM system for oil trading

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Case Studies

Case study : End to End supply chain solution

Development and implementation of end to end supply chain solution.

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Pushing the Limits of On-Device Machine Learning - Say Hello to TinyML 2.0

Today’s devices are pushing the limits of intelligent processing by incorporating the ability to run algorithms within their hardware. ‍Read on to learn how on-device machine learning has now become a reality, thanks to TinyML 2.0.

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Microservices For Scalable and Maintainable Data Pipelines in The Cloud

With the microservice approach, enterprises can design their data pipelines as a service that has independent existence, scalable resource adoption capabilities, and granular deployment abilities.

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How Federated Learning Empowers Edge-Computing AI

Let us explore four ways in which federated learning can unlock better growth and value from Edge AI applications.

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Serverless Data Pipelines - Yay or Nay?

When the cloud works on the fundamentals of on-demand service, then the best partner for data management would be serverless data pipelines.

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7 RPA use cases in financial services and banking

In today’s digital-first market with stiff competition, financial services institutions need to continuously invest in new technologies to streamline their operations and remain at the forefront of the ever-changing market dynamics.

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Insights for Unlocking the Value of Cloud-Based Data

Cloud data management manages all the data that is stored in the cloud or across multiple clouds or on-premise.

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Key Strategies for Success while Integrating Generative AI into Data Warehousing

As Generative AI continues to evolve, here’s a look at some “winning” strategies for organizations to integrate this AI technology into their data warehouses.

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Deep Learning in Data Analytics: How to Extract Complex Patterns from Unstructured Data

Read the 10 steps that can be easily followed to extract complex patterns from unstructured data, making the process accessible and achievable.

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Exploring the Integration of Cloud-Based Machine Learning with Edge Devices

With edge computing, cloud services move from the network core to the network edges to drive agile service responses and optimize the traffic load of the network.

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Revolutionize the Tech Hiring Process – Here is How

Hiring processes now need greater agility and accuracy to attract, assess, and hire the best candidates promptly and drive great organizational outcomes. Read some of the ways to revolutionize the hiring process.

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Why Observability in DevOps Fails

The importance of observability is undisputed, but DevOps teams can still be found struggling to prevent, detect, and resolve production issues.‍

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Addressing Security in Intelligent Automation

Security is one of the most strategic considerations when looking at adopting intelligent automation.

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Recognition

We are honored to receive the best service level supplier award for 2022 from Schneider Electric. Kudos to the Wissen leadership team!

iTVoice.in

In the DevOps world, continuous deployment and continuous delivery are often used interchangeably. In reality, the two are very different in many ways.