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Unless business leaders in financial organizations are aware of what exactly to demand from the IT DevOps teams (internal or external), they do not have true control over today’s complex projects.
Every organization is at a different juncture in their data science journey. Some could be starting while others could have implemented certain pilot projects but are yet to truly benefit from their investments and truly go digital.
Data analytics can be used within a utility the same way it's used in banking, retail, telecommunications or any other industry: assets and operations; customers; portfolio; and corporate operations
As 2020 gets to a fabulous start, we are pleased to share with you this year’s first edition of our e-newsletter AIQ. AIQ is sent exclusively to select valued members of the Quadratyx professional network, like you. Once every two months, it brings new AI-focused content and case-studies, inside stories of innovation from Quadratyx.
Clinical trial processes are slow, expensive, and manual intense. Artificial intelligence has the potential to disrupt every stage of the clinical trials process — from recruiting patients to tracking medication adherence, data collection and facility management.
With increasing amount of data received from individual case safety reports, pharmacovigilance industry recognizes the need to embrace technologies such as artificial intelligence (AI) at scale. Thus, significantly reducing case processing time.
80% of the data in the world is said to be unstructured by 2025, according to IDC. Handling such high volume is not the only problem, comprehending such myriad formats of data, is quite a challenge. This is where Big Data Analytics are offering new opportunities.
What if you could peek into the each of your distributor warehouses? What if you could look at all of them at the same time? What if you could do this every day? AI solutions that lets you analyse and compare your distributors.
Manual document processing of bank statements, invoices, patient records, etc., is time-consuming, slow, error-prone and expensive. By implementing cognitive automation, companies can achieve 100% accuracy in data extraction and reduce processing time 30 sec.
"Smart Factories" don't always require invasive and expensive infrastructural changes. Learn how to utilise data you are already collecting on your shop floor for smarter production.
'Scanalityx' is a customizable, domain agnostic, insights extraction and indexing solution that can automate your various business processes
Quadratyx Touch Point Analytics for Email provides a very accurate & fast analysis of the overall sentiment (positive, negative or neutral) from text and automatically categorizes incoming emails based on its content.
Machine Learning based advanced optimization tool that considers multiple global (organizational) and local (individual) constraints, to dynamically compute highly optimal travel routes for field staff.
Qademy is our flagship digital data science learning academy. The "Open" curriculum is designed to cater to your exact vertical-specific needs.
Scalable Records and Information Assistant (SRIA) is an AI-powered chatbot that offers real-time answers for questions posed.
PRE-B a B2B Machine Learning based comprehensive tool for recommending ideal outlet purchase behavior.
Quadratyx's first Fintech Innovation Round Table at The Leela, Mumbai. It was a day full of new insights on huge opportunities for businesses and practical guidance in implementing the disruptive technologies in Banking & Financial Services.
Airlines take over 12 months to plan a new route. It's a highly manual process, involves integration of multiple data points and identification of possible destinations in a trial-and-error method. How to automate this process and reduce the time taken for planning from 12 months to just a few weeks?
This paper highlights the differences between the two and explains why it is beneficial to know both. Know more
In this podcast, we explore the world of chatbots. Do we want chatbots to be intelligent or useful or both? What does the future of chatbot-human interaction hold?
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