Involgix

12/31/2024

“✨ Happy New Year from all of us at Involgix! ✨
As we step into 2025, we extend our heartfelt gratitude for your trust and collaboration. May the new year bring you prosperity, growth, and exciting opportunities. We look forward to achieving new milestones together. Cheers to a successful and fulfilling year ahead!”

10/11/2024

✨ Wishing all our incredible employees a joyous and prosperous Dusshera! May this festival of victory bring happiness, success, and new beginnings to you and your loved ones. Let’s continue to overcome challenges and achieve great heights together! ✨

Happy Dusshera from the Involgix family!”

01/03/2022

Companies are increasingly taking up data analytics to lower costs, enhance customer experience and optimise processes. Applications such as artificial intelligence and machine learning are also changing the way we work. Here’s what’s in store in this field next year .

Companies are increasingly taking up data analytics to lower costs, enhance customer experience and optimise processes. Applications such as artificial intelligence and machine learning are also changing the way we work. Here’s what’s in store in this field next year 

03/17/2021

The fusion is increasingly becoming more mainstream, as it continues to transform the fundamental ways in which we live our lives and process data.

From wearable tech to smart industries, artificial intelligence and the Internet of Things are being combined to change how we interact with devices.

03/09/2021

favors cultures that are highly collaborative, continuous learning environments with most work arranged within small cross-functional teams that have short communication paths and shared accountabilities.

Kubernetes reinforces exemplary DevOps culture practices, delivering benefits for technical and business stakeholders across the value stream.

11/03/2020

is a growing practise and firms are finding ways to manage their projects in as smooth a manner as feasible. There is considerable demand on software developers to learn new tools, which requires some effort, but the payoff is smoother operations and better quality.

Software development is both a science and an art. The science involves models, methods, and procedures that have been shown to be useful and correct....

10/26/2020

The Linux Foundation and edX finds organizations are looking for more IT personnel with open source skills (65%) than (59%)

A report from The Linux Foundation shows organizations are looking for more IT personnel with open source DevOps skills than developers.

10/20/2020

Implementing machine learning for big data analytics is certainly a technology enhancement I would suggest for your business if you want to use your big data optimally.

Collecting data is only half the work.

09/23/2020

The ten fastest-growing US staffing firms are

Staffing Industry Analysts (SIA), the global advisor on staffing and workforce solutions, has announced the 2020 List of Fastest-Growing US Staffing Firms.

09/07/2020

This AI analyzes placentas to predict complications in the next pregnancy works

In testing, the algorithm classified the lesions more accurately than professional pathologists.

However, the researchers don’t expect the system to replace medical professionals. Instead, they want it to flag up regions where pathologists should take a closer look.

Researchers from Carnegie Mellon University have used machine learning to analyze placenta samples for signs of health risks in future pregnancies.

08/31/2020

AutoML 2.0 platforms are now available with the specific goal of making AI/ML development easier for BI teams without data science expertise. The core functionality of these platforms is in three critical areas: First, making it easier for BI teams to leverage available data sets for AI/ML. Second, to make the process of “prepping” data for AI/ML algorithms less manual and finally, to automate the hardest part of the AI/ML development lifecycle — Feature Engineering.

"AutoML 2.0" platforms are now available with the specific goal of making AI/ML development easier for BI teams without data science expertise.