Remove Compliance Remove Customer Experience Remove Data Remove Innovation
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A Bank Automation Summit Preview: Key 2023 Banking Automation Trends

Perficient

AI is increasingly being used to automate a variety of tasks in financial services institutions, including customer service, fraud detection, and loan applications. Banks are using AI to analyze large amounts of data, make predictions, and automate complex processes. We’re observing the banking industry’s growing use of RPA.

Trends 474
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Top 6 Trends for the Banking Industry in 2024

Perficient

Banking institutions are responding by integrating advanced technologies, particularly artificial intelligence and data analytics, into their lending operations to enhance efficiency and adaptability. Explore and integrate alternative data sources and innovative scoring models to offer fairer assessments of creditworthiness.

Trends 221
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Crowe Horwath: ‘Risk Sandboxes’ Bolster Innovation While Managing Compliance

PYMNTS

Innovation implies a break from the conventional ways of operating a business. Ultimately, innovation is oxygen for companies in almost any vertical, as competition demands new products and services, improving customer experiences in unexpected ways.

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Enabling Innovation in Customer Experience while Optimizing the Multi-Cloud: Part Two

Cisco

As you read in part one of this blog, due to the pandemic and the resultant exponential increase in digital transactions, Customer Experience is far more paramount than ever before, across all demographics. This is mainly due to the fact that existing individual cloud-provided tools are not integrated and create data silos.

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Deep Dive: How Biometrics And AI Are Improving Banks’ Customer Experiences

PYMNTS

Hacks and data breaches have become all too common, with fraudsters turning to “brute force” attacks and plugging in commonly used passcodes to gain access to users’ accounts. Unfortunately, FIs are often caught between balancing more stringent security tools and offering the seamless experiences consumers crave.

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How Can Real-Time Decisions Improve the Customer Experience?

PYMNTS

Businesses are utilizing massive amounts of data and spending countless dollars and hours implementing the analytics tools needed to make sense of it all. But what if the way companies are going about big data and analytics is wrong? CEO, Market Platform Dynamics.

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Big Data Explosion

Cisco

The future of financial services will be shaped by the ability of financial institutions to extract and deliver more customer value from data. Those opportunities will rely on data and analytics for real-time decision making. Creating new customer value from AI. What Lies Ahead.

Big Data 147