EVENTS
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Top 8 Trends in Business Intelligence in 2022
Reading Time: 10 mins Mining business intelligence data can be a daunting task. But with the right tools and methodology, it will only get easier. In this article, we have come up with a list of top 8 trends that are sure to define business intelligence in 2022.
What is Data Modeling (And Why Is It important)?
Reading Time: 16 mins In this article, we'll cover the basics of data modeling, why it's important to leverage, and the different kinds of data models you can create for your business to stand out over your competitors.
How ML and AI Help Businesses Use Enterprise Data Effectively?
Reading Time: 10 mins This blog is an attempt to shed light on the best way businesses use enterprise data effectively using machine learning and artificial intelligence. Implement these business use cases and make your organization smarter, more efficient, and more profitable.
What Is a Correlation Matrix? How to Use it in Taking Business Decisions?
Reading Time: 10 mins What is a correlation matrix? What is it used for? This post will shed some light to these questions and show you the steps to use it in order to take your business decisions forward.
6 Best Practices To Use DOMO The Right Way
Reading Time: 7 mins This blog covers the best practices one needs to keep in mind while designing a BI dashboard using DOMO. Do give a read if you are planning to build a BI dashboard for your business unit.
How To Set Up Data Analytics Process For Enterprise Data?
Reading Time: 10 mins Do you feel that your company is not making the best out of its data? If yes, this blog will guide you in setting up the data analytics engine for your enterprise data.
What Is Data Governance? What Is Its Importance?
Reading Time: 11 mins Want to be a data-driven organization? Then get data your governance in place. This blog will take you through what is data governance, the Importance of data governance, why is data governance not optional, best practices for data governance, 7 principles of data governance, and lastly, data governance challenges.
How Is Data Analytics Used In Finance And Banking Sector?
Reading Time: 12 mins Learn how banks and financial institutions use data analytics to overcome issues and challenges they face today, such as low revenues, security threats, and heavy workloads in various areas of demand, supply, and risk management.
Top 5 Challenges When Scaling Machine Learning
Reading Time: 7 mins If you're building ML systems for your business, you should check out these 5 common mistakes companies usually make while scaling their ML projects.
The Future Of MLOps: A Must Read For Data Science Professionals
Reading Time: 6 mins Learn why machine learning is a magical tool in data sciences and for operations managers. How machine learning is related to operations management and what kind of problems operation managers should also consider in order to better use machine learning technology.
Future Of AI And Machine Learning In Banking
Reading Time: 7 mins If you are interested in what the future of AI and Machine Learning will shape the future of the banking and finance sector, this blog is for you.
Transformed risk assessment of loan portfolios for a leading Asian bank
Reading Time: 39 mins Read More
Data-Driven Banking: How Is Data Changing The Banking Landscape?
Reading Time: 14 mins This blog post will briefly introduce how banks and financial institutions can transform customer centricity into a competitive advantage through data-driven banking. What are the different data-driven banking use cases? And lastly, how to get started.
Building An Integration Center Of Excellence (ICoE) With ZIO
Reading Time: 6 mins Want to build an Integration Center of Excellence (ICoE)? Unify all your data and overcome silos with true integration across systems. Check out how ZIO can swiftly build you an ICoE.
The Curious Case of building a “Data Analytics” Strategy
Reading Time: 5 mins While many organizations are paying attention to data analytics projects, very few are fully aware of what should organizations consider when building a data analytics roadmap or strategy? This blog will answer all your questions.
What Is A Data Integration Platform?
Reading Time: 5 mins Learn all about data integration and the need for it in a business-to-consumer scenario and business-to-business scenario.
What Is A Data Pipeline – How Does It Work?
Reading Time: 8 mins Confused about what is a data pipeline? And how does it work? Well, this blog explains everything you want to know about data pipelines with some examples.
Data Integration Costs Pulling You Down? Try ZIO
Reading Time: 6 mins There are multiple options available through which one can achieve data integration. But how do you choose the right option which cuts down your cut integration costs. Well, this blog can help you with all of that.
Implemented a scientific solution to underwrite gold loans for a century old bank
Reading Time: 41 mins Read More
Predictive analytics to optimize acquisition cost for Singapore enterprise
Reading Time: 33 mins Read More
How HALO helped automate underwriting for a Financial Institution in South Dakota
Reading Time: 24 mins Read More
Anomaly detection for Alabama based trading firm
Reading Time: < 1 minute Read More
HORUS – Digital Enablement And Beyond
Reading Time: 4 mins
Not asking the right questions when you begin your digital transformation journey could cost you. Here's how you can do it right.
Data Sciences: The Tech-Quant Integration
Reading Time: 6 mins
Having built data sciences solutions for financial institutions, traders and capital markets clients, one of the challenges we have experienced during the past 12 months is extracting the tacit knowledge that quant teams possess and applying it from the technology side.
Data Sciences, Machine Learning And AI: Identifying The Need
Reading Time: 5 mins
As we were demonstrating a data anomaly solution for our client using “R” and “Python” today, my thoughts went back to a recent article that I read titled, “India’s mess of complexity is just what AI needs” written by Varun Aggarwal, co-founder of Aspiring Minds in the MIT Technology magazine during June 2018.
Stay tuned for more updates on our upcoming webinars
How is data changing the banking landscape?
Reading Time: 7 mins Know More
Non-functional testing in the shift-left world
Reading Time: 8 mins Know More
Soorarai Pootru (Praise the warriors) Founder Series – EP 03 with Mr. Phaneesh Murthy
Reading Time: < 1 minute Watch Now
15 Engineering Metrics to Measure Digital Readiness
Reading Time: 7 mins Watch Now
The Role of iPaaS in IT Modernization
Reading Time: 7 mins Watch Now
7 Reasons why you should adopt Low-Code platform now
Reading Time: 6 mins Watch Now
Demystifying Cybersecurity for C-Suite Executives
Reading Time: 7 mins Watch Now
Future Tester Skills: Less Logistics, More Thinking
Reading Time: 7 mins Watch Now
Usability Testing: A Game Changer to Customer Experience
Reading Time: 7 mins Watch Now
How Financial Institutions can leverage AI?
Reading Time: 7 mins Watch Now
How AI is changing Defect Detection?
Reading Time: 5 mins Watch Now
Webinar – How AI is changing Defect Detection?
Reading Time: 6 mins Watch Now
Webinar – Misconceptions about AI for Financial Institutions
Reading Time: 6 mins Watch Now
Event information could not be updated due to the COVID-19 crisis.
Details will be updated after the confirmation from the event organizers.
Lend 360 – Connect with Zuci to Learn, Collaborate and Grow
Reading Time: 3 mins We are determined towards persistent innovation in FinTech and are always looking at a step further. Join us at the Lend360, 2019 event in Dallas from September 25th onwards.
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Build, Test, And Deliver Quality Software – A Talk At Quest 2019
Reading Time: 4 mins At Zuci Systems, we apply Agile methodologies, cognitive quality automation and AI to offer comprehensive Quality Engineering without increasing costs or software release cycles.
Digital Lending – Build, Buy, Or Partner?
Reading Time: 6 mins
A comprehensive study by American Bankers Association reported that “efficiency” was the leading concern (72 percent) for banks in consumer lending ...