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Finance

Unify your data: AI and Analytics in an Open Lakehouse

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.

Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Banking on Future Growth: Predictions, Challenges, and Performance for Financial Brands

The COVID-19 pandemic and the resulting economic uncertainty forced businesses to rethink how they approach growth. This especially rang true in the financial services industry, where financial trends have the most direct impact. Curiosity, collaboration, and adaptability all became key to surviving this new climate.

What's the impact of fintech on banking industry?

Are you aware of the fact that India’s overall fintech market opportunity is estimated to be $1.3 Tn by 2025, growing at a CAGR of 31% during 2021-2025? This one statement paved the way for the FinTech revolution in India and is still growing… In just a few years, the emergence of fintech-powered technologies has revolutionized the financial sector, affecting how both large and small firms deal with their finances and transactions.

10 Fintech App Security Solutions [Complete Guide]

Design, speed, and simplicity are the winning flavors for any mobile banking app. By possessing these characteristics, the fintech app can entice any smartphone enthusiast, the number of whom is steadily increasing. The industry’s major players recognize that the pervasiveness of mobile phones in our lives must be used as a tool to win loyal users for FinTech businesses.

Discover Financial Services Automates Data Ingestion for Real-Time Decision-Making at Scale

Making operational decisions in a tight timeframe is critical to the success of an organization. Real-time data ingestion enables quicker data availability, in turn enabling timely decision-making. Real-time ingestion is foundational to our digital transformation at Discover Financial Services. As a senior manager leading the streaming and real-time data platforms at Discover, I don’t want to be in the data replication business manually.

Exploring the Future of User Experience in Banking and Fintech

It’s Monday morning, and Sam woke up to a gentle sound on his phone. It’s not an alarm but his new financial pal—a voice-activated AI assistant. This friendly voice, tailored to his financial goals, provides a personalized morning briefing of his accounts, highlights upcoming bills, and even suggests budget-friendly options for his breakfast. After a busy workday, Sam stared at his evening coffee.

Basel 3.1: Strengthening Global Financial Framework

The financial crisis of 2008 exposed vulnerabilities in the global banking system. In response, the Basel Committee on Banking Supervision (BCBS) introduced the Basel III reforms, a set of regulations designed to strengthen banks’ capital adequacy and risk management practices. Basel 3.1, the latest iteration of these reforms, is set to be implemented in major jurisdictions like the EU and UK in 2025.

How EPM Solutions Increase Efficiency in Data Management and Reporting

In today’s data-driven business environment, the finance team plays a critical role in transforming raw data into actionable insights that inform strategic decision-making. However, the prevalence of disconnected data sources, often referred to as data silos, creates significant bottlenecks that hinder your team’s ability to operate efficiently and generate reliable financial information.

Countly's Privacy-Focused Approach to Analytics for The Finance Industry

While our discussions have previously highlighted the unique analytics challenges and opportunities within industries such as automotive, healthcare, and kids' gaming, today, we turn our focus to the finance sector. In this article, we’ll zoom in on analytics challenges in the finance world, and we’ll answer why Countly is exceptionally suited for product analytics in the financial sector.