Burtch Works Industry Insights

Featured Industry Insights

How Data Drives Cash Flow Underwriting in Modern Lending

Cash flow underwriting isn’t just a buzzword; it’s a necessity for any lender looking to remain competitive in a rapidly evolving financial landscape. The shift to real-time, data-driven decision-making marks a turning point in how credit risk is assessed. By adopting modern tools like open banking APIs and AI-driven analytics, institutions can make smarter, more inclusive lending decisions.

Posted

April 21, 2025

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Upskilling and Retaining Talent in a Rapidly Evolving Field: Strategies for Success

January 28, 2025

Upskilling and retaining talent in rapidly evolving fields require a proactive, strategic approach. By investing in continuous learning, fostering a supportive workplace culture, and leveraging emerging technologies, organizations can build a workforce that is not only prepared for today’s challenges but also poised for future success. The key lies in viewing employees as long-term partners in innovation and growth.

Ethical AI and Data Privacy: Navigating Compliance and Responsible Innovation

January 21, 2025

Ethical AI and data privacy are not optional considerations but essential pillars for sustainable innovation. By adopting proactive measures, fostering interdisciplinary collaboration, and prioritizing transparency, organizations can navigate the complexities of compliance while building AI systems that inspire trust and deliver value.

Cross-Disciplinary Teams for Data and Analytics: Building and Managing Collaborative Success

January 21, 2025

Product Management for AI-Driven Products: Navigating Challenges and Aligning with Business Goals

January 16, 2025

Managing AI-driven products requires a paradigm shift in product management practices. By addressing unique challenges, fostering cross-functional collaboration, and prioritizing ethical considerations, product managers can unlock the full potential of AI while aligning with business goals. The future of product management lies in embracing these transformative technologies and navigating their complexities with innovation and responsibility.

Cybersecurity in the Era of AI: Revolutionizing Threat Detection and Prevention

January 14, 2025

AI is revolutionizing cybersecurity, offering unparalleled capabilities to detect, prevent, and respond to threats. While challenges remain, organizations that embrace AI-driven solutions will be better equipped to navigate the complex and ever-changing cybersecurity landscape. By investing in the right tools, skills, and strategies, businesses can turn AI into a powerful ally in safeguarding their digital assets.

AI in Talent Acquisition: Leveraging AI and Machine Learning for Recruitment

January 9, 2025

AI is revolutionizing talent acquisition by enhancing efficiency, accuracy, and candidate engagement. While challenges exist, adopting best practices and staying updated on emerging trends can help organizations harness the full potential of AI. As the recruitment landscape continues to evolve, integrating AI into your hiring strategy is no longer a luxury but a necessity.

Building a Data-Driven Culture: Strategies for Embedding Analytics Across the Organization

December 27, 2024

Building a data-driven culture is a transformative journey that requires commitment, collaboration, and continuous learning. By embedding analytics into everyday decision-making, organizations can unlock the full potential of their data, driving innovation and growth. With the right strategies and technologies, any organization can evolve into a data-driven powerhouse.

Accelerating Growth for a Media Giant

October 13, 2024

In the competitive entertainment industry, it is crucial to outpace competitors, reduce customer churn, and maximize customer lifetime value (LTV). Our successful partnership with this media giant highlights our ability to align with these objectives.

Contract Data Scientist Hourly Rate: How Much Is It?

September 3, 2024

When companies are looking for ways to increase profit, reduce costs, and improve product/service quality, they turn to data scientists.These experts have the skills to process all kinds of data and turn it into easily digestible insights. However, accessing these skills can be pricey.