Tag: innovation

Innovation & Business Jochen Werne Society & Diplomacy

Mind over Machine

Jochen Werne April 7, 2024

Mastering the Power of AI and Large Language Models for Business Success and Positive Social Impact

By Jochen Werne

Düsseldorf, 6 April 2023.

Throughout human history, transformative technological innovations have heralded new eras, reshaping our societies, economies, politics, and daily lives in ways previously unimaginable. The printing press, introduced by Johannes Gutenberg in the 15th century, serves as a profound testament to the sweeping power of innovation. Not just a tool for mass-producing books, the printing press birthed the dawn of widespread literacy, transforming workplaces as manual scribes became obsolete and creating new vocations in publishing and literature.

The press also catalyzed a socio-political upheaval. As literacy rates surged, so did the empowerment of the masses. Ideas, once confined to the elite, became accessible to many, seeding the Renaissance, and later, the Reformation. Niall Ferguson, in his seminal work, “The Square and the Tower,” eloquently captures this revolution, asserting that the printing press restructured historical hierarchies and networks, shifting power dynamics in unprecedented ways.[1]

In economic terms, the press laid the foundation for capitalist markets. As information became accessible, trade routes expanded, local businesses thrived, and a burgeoning middle class began to wield economic influence. On the societal front, with the proliferation of ideas came the Enlightenment, propelling societies towards principles of liberty, fraternity, and equality.

Fast forward to the close of the 20th century, and another innovation emerged as a harbinger of transformation: the internet. Much like the printing press, the internet redefined workplaces, rendering some jobs obsolete while spawning new professions in digital technology, e-commerce, and online content creation. The globalized economy we witness today, underpinned by intricate supply chains and instantaneous communication, owes its existence to the digital revolution.

Politically, the internet has both empowered and challenged established structures. Grassroots movements, from the Arab Spring to global climate change campaigns, have harnessed online platforms to mobilize support and challenge the status quo. However, it’s also provided a breeding ground for misinformation, deepening societal divides in certain instances.

Yet, as we stand on the cusp of the AI revolution, it’s crucial to reflect on lessons from our past. Both the printing press and the internet came with their boon and bane. Their essence wasn’t inherently good or bad; it was humanity’s application of these tools that rendered them so. As we navigate the realms of AI and Large Language Models (LLM), this adage holds truer than ever: Technology and technological inventions are neither good nor bad – it’s the way we use them that bestows upon them such attributes.

Chronicles of Code – Decoding the Magic Behind Large Language Models

The realm of artificial intelligence is undergoing rapid metamorphosis, and Large Language Models, such as GPT-3 and GPT-4, stand out as the front-runners in this transformation.[2] To truly appreciate the intricate tapestry of LLMs, one must delve deep into their foundational technologies, unravel the plethora of practical applications they enable, and critically evaluate the challenges they pose.

At the nucleus of LLMs is their technological backbone. These models owe their prowess to deep learning and, more specifically, the transformer architecture.[3] This intricate design enables them to sift through colossal amounts of data, synthesizing human-like text that often mirrors our nuanced thought processes. The primary education of these models stems from vast datasets spanning the breadth of the internet, but their true finesse is achieved when they’re fine-tuned using more focused datasets, enabling them to excel in specialized domains.[4]

When it comes to their application spectrum, LLMs have left indelible marks across sectors. In the labyrinthine world of research, where professionals are inundated with vast pools of data and intricate academic papers, LLMs emerge as lighthouses, offering clarity by summarizing and presenting key insights.[5] Language translation, a domain that’s been historically challenging due to the nuances and subtleties of human language, has seen remarkable enhancements with LLMs. They’ve added a layer of contextual depth that was previously lacking in traditional translation tools.[6] The educational sphere is undergoing a renaissance, thanks to LLMs. Their capabilities in offering personalized content, adapting to individual learning curves, and providing immediate feedback promise a future where learning is both tailored and transformative.[7]

Yet, every silver lining has a cloud. The inherent challenges of LLMs are subjects of extensive discourse. Their reliance on training data can be their Achilles’ heel — biases in training data can lead to prejudiced outputs, a significant concern given the widespread influence of AI.[8] Additionally, their textual outputs, while sophisticated, can sometimes lack true human understanding, leading to contextually skewed results.[9] The broader societal implications of LLM adoption, especially the potential displacement of jobs and questions of ethical accountability, are pressing concerns that demand attention.[10]

The tapestry of LLMs in real-world scenarios paints a vivid picture of their transformative potential. Customer service has seen an overhaul, with AI tools streamlining interactions and enhancing user experiences.[11] The corridors of journalism echo with the influence of LLMs, aiding in content creation, editing, and even pioneering new forms of storytelling.[12] The legal world, often bogged down by voluminous documents, benefits immensely from AI’s precision in document reviews, bringing efficiency and reducing human errors.[13]

As we segue into “Redefining Workflows: The Profound Influence of LLMs on the Modern Workforce,” we’ll delve deeper into the myriad ways LLMs are reshaping our professional landscapes.

A New Work Paradigm: LLMs’ Crucial Contribution to Contemporary Business Achievements

The release of Large Language Models has initiated a paradigm shift in our understanding of the workforce dynamics. The ground-breaking research presented in the paper titled “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality,” authored by the illustrious team of researchers including Fabrizio Dell’Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani, brings forth significant insights into this transformation.

Praise is due to this team of researchers for conducting a well-structured, extensive experiment involving 758 consultants from the global management consulting firm, Boston Consulting Group (BCG). Their analysis offers invaluable insights into the applications and limitations of AI in knowledge-intensive tasks. The concept of a “jagged technological frontier” introduced in their paper signifies the nuanced capabilities of AI. It underscores the notion that while AI excels in certain tasks, others that might seem similar in complexity can be beyond its scope.

Their findings show that when consultants utilized AI in the realm of its capabilities, there was a noticeable uptick in productivity, with tasks being completed 12.2% more and 25.1% faster. The quality of results also soared, witnessing an impressive increase of over 40%. These figures paint a vivid picture of the transformative power of AI when applied within its domain of expertise. Yet, it’s essential to note that outside this domain, relying on AI may lead to counterproductive results.

The paper also identifies two distinct ways in which consultants engaged with AI. Some consultants acted as “Centaurs,” seamlessly dividing and delegating tasks between themselves and the AI, while others emerged as “Cyborgs,” integrating their workflows with the AI in an ongoing symbiotic interaction. Such observations are pivotal as organizations strive to harness the optimal potential of AI, while also understanding its limitations.

LLMs like ChatGPT, as highlighted in the research, have redefined the frontiers of automation, demonstrating capabilities in areas previously reserved for the most educated, creative, and highly paid workers. The research suggests that these models are more than mere tools; they are evolving entities with vast yet unpredictable capabilities. Their potential to transform workflows and elevate the quality of work output in the consulting realm, and possibly across other industries, is profound.

Yet, for all their potential, the research astutely underscores the risks associated with the blind adoption of LLMs. Misplacing trust in these systems for tasks outside their capabilities can lead to inaccurate results and compromise the integrity of the work. The inherent opacity of these models further complicates this dynamic. Without a clear understanding of their strengths and weaknesses, professionals may be navigating a minefield without a map.

The “jagged technological frontier” metaphor therefore poignantly encapsulates the ever-evolving landscape of AI capabilities. This invaluable research serves as a compass, guiding professionals and organizations on how to integrate LLMs efficiently into their workflows, optimize productivity, and elevate the quality of outputs. The ripple effects of LLMs on the workforce are profound, and as we traverse this technological frontier, it is paramount to tread with both enthusiasm and caution. The dedication and rigor of the research team in shedding light on this complex subject deserve commendation. Their work has undoubtedly laid a solid foundation for further exploration in the transformative world of AI and its implications on the workforce.[14]

The importance of discerning the “jagged technological frontier” concept is crucial. While some tasks may appear similarly intricate on the surface, not all can be executed efficiently by AI. Drawing from own research and the extensive studies by the German AI platform “Plattform Lernende Systeme“, it’s pivotal to distinguish which tasks are best tackled with human-AI collaboration.[15]

Harnessing the Power of LLMs: Best Practice approach from a global data insights market leader

Experian[16], as a global data leader, recognizes the transformative essence of information. Through AI and Machine Learning, Experian gleans significant insights from data, empowering businesses to make enlightened decisions. Additionally, the principle of ‘data for good’ resonates profoundly with the philosophy. By responsibly channeling data, the company not only catalyze economic progress but also mitigate societal challenges.

Experian has not only acknowledged the transformative potential of Machine Learning and Large Language Models but also fervently acted upon it.

Alex Lintner,[17] CEO of Experian Software Solutions, recently provided insights into the evolving role of artificial intelligence (AI) in the financial sector during a video conversation.[18] Lintner emphasized how AI, especially carefully constructed large language models, offer an unprecedented opportunity for the industry. He elucidated the scalability of such technologies, noting the potential to leverage machine learning for monitoring market trends and preempting credit risks as market circumstances change. This technological evolution allows machines to autonomously create prompts for decision makers, automate routine model monitoring processes, and even forecast variables that should be included in models in the future, thus enabling humans to channel their resources towards creating innovative solutions and supporting strategic initiatives.

Moreover, Lintner shed light on the vast potential of AI in financial services. He highlighted the importance of agile risk detection and swift response mechanisms, indicating that this is just scratching the surface. Experian alone has pinpointed over 200 potential use cases. However, the immense capabilities of AI also beckon significant accountability. Lintner underscores the paramount need for rigorous compliance, governance, and transparency measures to guarantee AI’s ethical and judicious application.

On the ethical front, Lintner asserted, “Protecting data and ensuring responsible use of generative AI is not just a priority; it’s an imperative.” Given Experian’s pivotal role in handling sensitive financial information, establishing and maintaining trust is of utmost importance. Therefore, integrating stringent ethical standards, principles, and methodologies is crucial to the successful and responsible rollout of AI technologies.

As for steering the future, Lintner offers a clear roadmap: focus on acquiring talent in the AI domain, consistently gather customer feedback, and astutely prioritize opportunities. He believes that truly innovative solutions emerge from a profound understanding of customer necessities—a philosophy that resonates deeply in his perspectives.

In data companies globally every decision, every product, every innovation stems from the intricate understanding of the numbers. As the vast amounts of data they manage continue to grow, there’s an increasing need for more sophisticated ways to handle, analyze, and extract insights from it. Enter Machine Learning (ML) and, more specifically, Large Language Models (LLMs).

Ahead of the Curve: Cultivating a Workforce Fit for the Future

It’s important to understand that the use of LLMs isn’t just about improving backend processes; it’s especially about equipping the workforce for the future. When I took the helm on August 1st, 2023 as the new CEO of Experian DACH, one of the first directives on day one – inspired by the example of other Country Managers within the group – was to motivate all employees in Germany, Austria and Switzerland to undergo the corporate GenAI training. This wasn’t just a nod towards technological advancement; it was a strategic move to ensure that the very culture of the company was aligned with the digital transformation wave sweeping across industries.

By doing so, Experian isn’t merely training its employees on a new tool; it was nurturing a mindset of innovation and adaptability. With hands-on experience from the GenAI training, employees were encouraged to conceptualize practical roll-out use cases. For example, marketing professionals can incorporate insights from LLMs into their engagements, delivering more personalized and impactful messages to clients. In the meantime, the sales teams were able to use LLM-generated insights to identify potential markets or niches that had not yet been tapped – today, the vast majority of Experian employees worldwide are not only trained, but use GenAI in their daily work and develop new use cases on the fly.

Training and Learning is not just about immediate benefits. It is a forward-thinking strategy to ensure that new technologies, as LLMs continue to evolve and their applications grow, the company’s workforce would not be left behind. It is about fostering a culture of continuous learning, adaptability, and leveraging cutting-edge technology to stay ahead in highly competitive industries.

Redefining an Industry’s Future

Large Language Models (LLMs) like GPT-4 are at the forefront of the AI revolution, harnessing the capability to understand, generate, and augment human-like text at a scale previously unimaginable. This progression in AI has significant implications for businesses, especially for data-centric industries that are looking to derive actionable insights from vast data volumes.

One of the key challenges for data-centric companies is extracting meaningful insights from massive data sets. Traditional methods are often cumbersome, and while they can yield valuable results, the increasing volume, velocity, and variety of data have made these methods less efficient. Machine Learning offers a solution to this challenge. By leveraging algorithms that can learn from and make decisions based on data, ML has revolutionized the way companies interpret complex data structures.

Therefore, as data continues to be the backbone of our digital age, companies that can harness its power most effectively will lead the charge. For data insights giants like Experian, integrating Machine Learning, and especially Large Language Models, isn’t just a technological upgrade; it’s a transformative strategy to redefine their industry’s future.

Conclusion: The Harmonization of AI and Humanity

Throughout history, innovations have undeniably transformed societies, leaving a lasting impact on the course of human progress.[19] Whether we consider the revolutionary impact of the printing press or the transformative power of the internet, each technological leap has reshaped our world and the way we live. In the face of these profound changes, humanity has consistently demonstrated its ability to adapt, evolve, and harness these tools for our collective betterment.[20] In this context, artificial intelligence and with-it large language models emerges as the latest frontier where the intricate interplay between humans and technology is being examined and refined.

Rather than surrendering to the allure of extreme narratives, such as an AI-dominated dystopia or a utopian world of boundless prosperity, it is imperative to acknowledge that the future most likely rests within the delicate equilibrium of harmonizing AI and humanity.[21] This harmonization goes beyond mere coexistence; it encompasses collaboration and synergy, merging human intuition and the computational prowess of AI to create a potent force capable of driving profound transformations in all aspects of our lives.

As we venture further into this uncharted territory, the wisdom of great thinkers continues to guide us. Albert Einstein once remarked, “Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution”.[22] In the context of AI and humanity, this sentiment resonates profoundly. Our imagination and creativity serve as the catalysts for progress, and AI serves as the tool that can amplify and expedite our ability to transform imaginative ideas into reality.

The future may indeed be obscured by uncertainty, but it is unquestionably a future that we, as a collective humanity, possess the power to shape.[23] It is a canvas waiting for us to paint our hopes and aspirations upon, guided by principles of meticulous consideration and ethical responsibility.[24] The horizon of AI’s potential is expansive, and the possibilities it presents are as vast as the human imagination itself.

To achieve this harmonization, several key principles must be prioritized. First and foremost is ethics.[25] The development and deployment of AI must be grounded in a robust ethical framework that ensures fairness, transparency, and accountability. We must diligently guard against biases and discrimination, guaranteeing that AI benefits the entirety of humanity, leaving no one marginalized.[26]

Second, education and empowerment are paramount.[27] As AI becomes increasingly integrated into our daily lives, it is essential that individuals have access to the knowledge and skills necessary to navigate this new landscape. Education empowers us to harness AI’s potential while mitigating its associated risks.

Lastly, collaboration forms the linchpin of success.[28] Governments, businesses, researchers, and individuals must collaborate, transcending borders and sectors to harness the full potential of AI. Interdisciplinary collaboration can pave the way for breakthroughs that benefit society as a whole.

The harmonization of AI and humanity offers a promising path forward.[29] It is a journey that requires us to draw upon the wisdom of the past, the imagination of the present, and the ethical considerations of the future.[30] As we navigate this uncharted waters, we must remember that the power to shape our destiny resides within our collective hands.[31]

With knowledge, responsibility, and a harmonious integration of AI with human expertise, the future horizon is indeed one filled with promise and potential. It is a future where the partnership between humans and AI can lead to a brighter and more equitable world for all.

[1] Ferguson, N. (2018). The Square and the Tower: Networks and Power, from the Freemasons to Facebook. Penguin Press.

[2] Brown, T. B., et al. (2020). “Language Models are Few-Shot Learners.” OpenAI

[3] Vaswani, A., et al. (2017). “Attention is All You Need.” NeurIPS

[4] Devlin, J., et al. (2018). “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” Google AI

[5] Chui, M., et al. (2018). “Notes from the AI frontier: Tackling Europe’s gap in digital and AI.” McKinsey Global Institute

[6] Hale, S. A. (2016). “Commercial Applications of Machine Translation.” The Oxford Handbook of Translation Studies

[7] Luckin, R. (2017). “Towards artificial intelligence-based assessment systems.” Nature Human Behaviour

[8] Bender, E. M., & Gebru, T. (2021). “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” Proceedings of FAccT.

[9] Lipton, Z. C., & Steinhardt, J. (2018). “Troubling Trends in Machine Learning Scholarship.” arXiv preprint

[10] Russell, S. (2019). “Human Compatible: Artificial Intelligence and the Problem of Control.” Viking

[11] Huang, M. H., & Rust, R. T. (2018). “Artificial Intelligence in Service.” Journal of Service Research

[12] Graefe, A. (2016). “Guide to automated journalism.” Tow Center for Digital Journalism, Columbia University

[13] Surden, H. (2014). “Machine Learning and Law.” Washington Law Review

[14] Dell’Acqua, F. et al. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business Review.

[15] acatech. Plattform Lernende Systeme (2023) https://www.plattform-lernende-systeme.de/home-en.html

[16] Experian Corporate website: https://www.experianplc.com

[17] About Alex Lintner: https://www.experianplc.com/about-us/board-and-senior-management/senior-management/alex-lintner/

[18] Lintner, A. (2023) Transforming Financial Services with AI and Automation – A video interview. YouTube https://youtu.be/_QnZf3FlNq0?si=Y4WditFgkX-aGaGt

[19] McKinsey Global Institute. (2021). “AI in the post-pandemic world: Five key trends.” https://www.mckinsey.com/capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2021

[20] Pew Research Center. (2019). “Americans and Privacy: Concerned, Confused and Feeling Lack of Control Over Their Personal Information.” https://www.pewresearch.org/internet/2019/11/15/americans-and-privacy-concerned-confused-and-feeling-lack-of-control-over-their-personal-information/

[21] World Economic Forum. (2020). “The Future of Jobs Report 2020.” https://www.weforum.org/reports/the-future-of-jobs-report-2020

[22] Einstein, A. (1931). “The Cosmic Religion: With Other Opinions and Aphorisms.”

[23] The Guardian. (2022). “The Uncertain Future of Artificial Intelligence.”

[24] World Economic Forum. (2018). “Ethics by Design: An Organizational Approach to Responsible Use of Technology.” https://www.weforum.org/whitepapers/ethics-by-design-an-organizational-approach-to-responsible-use-of-technology/

[25] The Royal Society and the British Academy. (2020). “Data Management and Use: Governance in the 21st Century.” https://royalsociety.org/topics-policy/projects/data-governance/

[26] AI Now Institute. (2019). “Discriminates in AI Hiring Tools and the Role of Human Oversight.” https://ainowinstitute.org/wp-content/uploads/2023/04/AI_Now_2019_Report.pdf

[27] UNESCO. (2020). “I’d Blush if I Could: Closing Gender Divides in Digital Skills Through Education.” https://unesdoc.unesco.org/ark:/48223/pf0000367416.page=1

[28] Stanford HAI. (2021). “AI Index 2021 Annual Report.” https://aiindex.stanford.edu/wp-content/uploads/2021/11/2021-AI-Index-Report_Master.pdf

[29] McKinsey & Company. (2018). “Notes from the AI Frontier: Insights from Hundreds of Use Cases.” https://www.mckinsey.com/~/media/mckinsey/featured%20insights/artificial%20intelligence/notes%20from%20the%20ai%20frontier%20applications%20and%20value%20of%20deep%20learning/notes-from-the-ai-frontier-insights-from-hundreds-of-use-cases-discussion-paper.ashx

[30] The Hastings Center. (2019). “Is Ethical AI an Oxymoron?” https://www.thehastingscenter.org/news/hastings-president-addresses-the-question-is-ethical-ai-an-oxymoron/

[31] United Nations. (2019). “The Age of Digital Interdependence.” https://digitallibrary.un.org/record/3865925?ln=en

Innovation & Business Jochen Werne Press & Publications

FinanzBusiness: THE SIX TOP CHALLENGES FOR BANKS THIS YEAR

Jochen Werne February 24, 2024

It was a great pleasure speaking with Torben Schröder of FinanzBusiness about “THE SIX TOP CHALLENGES FOR BANKS THIS YEAR”.

He writes in his article: In an increasingly regulated market environment, providers who use their data intelligently will be the most successful, says Jochen Werne from Experian in an interview with FinanzBusiness.

Data is the new oil, they say: “The quality of data will become the kingmaker in the credit risk market of the future and open the way to new market opportunities,” says Jochen Werne, CEO of data service provider Experian DACH. In an increasingly regulated market environment, providers who use their data intelligently and master the balance between data protection and customer experience will be the most successful.

Werne names six “top challenges” for this year. These arise from regulations from the European Banking Authority (EBA) – and from technological developments. On the one hand, risk management is to be significantly improved and sustainability criteria verified at the behest of the European Central Bank and the EBA supervisory authority. On the other hand, artificial intelligence (AI) is opening up completely new opportunities in an increasingly complex market environment.

Read the full article in original at FinanzBusiness

Innovation & Business Jochen Werne Press & Publications

Hot off the press: Data quality is crucial

Jochen Werne February 4, 2024

Original published in German by IT Finanzmagazin – find here. Translation provided by DeepL.com. Photos provided by Pixabay, Experian, Jochen Werne. Collage design by Canva

STRATEGY 23 January 2024

EBA deadline of 30 June: data quality will be decisive in the assessment of credit risks

Financial institutions are facing a significant change in the assessment of credit risks this year. Now comes 30 June: the deadline for new standards in credit risk assessment. Jochen Werne (CEO Experian DACH) is convinced that data quality will become the kingmaker in the credit risk market.

by Jochen Werne, CEO Experian DACH

Since 2021, financial service providers have been required to implement the supervisory priorities of the ECB and EBA. These priorities include the comprehensive improvement of credit risk management practices and the integration of new risk factors, particularly in the area of climate and the environment, into their risk management strategies. At the same time, the requirements for data management in the context of credit scoring are increasing. Artificial intelligence (AI) will play a key role here and banks will have to adapt to the new EU AI Act.


“By the deadline of 30 June 2024, large banks must have adapted their systems and infrastructures in accordance with the EBA Loan Origination and Monitoring Guidelines (EBA-GL LOM) for effective credit risk management and monitoring.”

This also includes closing data gaps. However, smaller, nationally supervised financial institutions must now also comply with these new guidelines, as additional elements of the 7th MaRisk amendment came into force on 1 January 2024, which are based on the EBA guidelines, among other things. Financial organisations must review their existing practices in 2024 and adapt their credit risk assessment standards accordingly. In future, credit assessment models will have to take much greater account of transparency, fairness and sustainability, particularly from an ESG perspective. The game changer for this is increasing their data quality.

All of this leads to five important changes:

1. Profitability strategies in a challenging market environment

In view of the weak economic momentum, the expected increase in non-performing loans and challenging margin developments, financial institutions must develop new growth strategies.

“Investments in technologies such as generative AI and forward-looking risk management are becoming increasingly important.”

Advanced data analytics support organisations in various phases of their customer lifecycle. Already in the application phase, high data quality enables a more efficient assessment of creditworthiness. In portfolio management, advanced data analysis helps to proactively manage risks and dynamically manage the credit portfolio. Advanced analytics and high data quality help to strengthen resilience to risks, including data-based early risk identification and an optimised dunning and collection process.

2. Digitalisation for resilience, including against novel risks

“Over the next 12 months, strengthening business resilience through automation and digitalisation will be key to responding to new risks such as AI, cyber threats and geopolitical tensions.”

These challenges not only affect the target customer landscape, but are also of great importance in the context of new ESG requirements. Due to their complexity and innovative nature, traditional approaches based on historical data cannot cope with these risks: Traditional approaches to data analysis and model preservation increasingly have to deal with slow regulatory processes on the one hand and a more dynamic macroeconomic environment and growing cyber risks on the other. In order to cope with this competitive situation, new strategies in the utilisation of all relevant data are urgently required, which place advanced analytics and the improvement of data quality at the centre.

3. PSD3, PSR and FIDA: Banks between risk and opportunity

Since the end of 2023, the EU Commission has been aiming to drive forward the “Consent Driven Economy” with new regulations such as PSD3 (Third Payment Services Directive), PSR (Payment Services Regulations) and FIDA (Access and Use of Financial Data) and to give consumers more opportunities to use the data available about them.”

As one of the players with the greatest wealth of data, this presents banks with a high risk in the face of new competitors. At the same time, however, it also offers them an opportunity to become a trusted partner for consumers. These regulations, which focus on the promotion of open banking services, greater control of data access and measures against online fraud, represent a starting point for financial institutions to think about the further use of transaction data. In addition to combating fraud, advanced analytics of transaction data, even taking into account all compliance requirements, opens up additional opportunities for interaction with end customers to improve the customer experience or the chance to monetise data.

4. Growth driver EU AI Act

“The EU AI Act will have a significant impact on the use of AI in the financial sector and further strengthen the financial sector’s technology focus.”

AI and machine learning (ML) will further automate decision-making processes in the future and strategic investments in this area will therefore become even more crucial for growth in the future. According to a study by Forrester Consulting commissioned by Experian, 60 per cent of German companies already take a similar view and have a comprehensive AI-based risk management programme in place. By using these technologies, credit and fraud risks can be assessed more precisely and efficiently, even in uncertain economic times. Companies that implement these developments are positioning themselves as pioneers in a rapidly developing, technology-driven financial sector: 78 per cent of the companies surveyed in the study in Germany also state that they are prioritising the use of further AI and ML applications.

5. Continuation of cloud migration in the financial world

Cloud integration remains a significant but unfinished transformation challenge in the world of finance.

“The ongoing implementation of continuous development and continuous improvement, particularly in the areas of business, analytics and IT, is becoming increasingly important.”

This includes identifying core business processes that will benefit significantly from cloud migration and defining clear priorities and objectives for the migration process. Cloud-based data analytics plays a central role in gaining valuable insights from customer behaviour, market trends and operational data to improve business processes and make more informed decisions.

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About the author: Jochen Werne has been CEO DACH at Experian since August 2023. Previously, he served as Managing Director at Prosegur Crypto and as Chief Development & Chief Visionary Officer at Prosegur, where he was responsible for the development and implementation of strategies in the areas of business development, innovation and international sales. Werne’s career includes significant leadership positions at Bankhaus August Lenz & Co. AG, Mediolanum Banking Group, where he served as Director and Authorised Representative and was instrumental in the company’s digital business transformation. His academic career includes a FinTech programme at the University of Oxford (2017-2018) and a Diploma in International Banking at Goethe University Frankfurt (1997-2000).

Jochen Werne – Chief Executive Officer Experian DACH
Innovation & Business Jochen Werne Press & Publications

Frontline Defense: Outsmarting Fraudsters and Shaping the Future of Fraud Prevention

Jochen Werne December 26, 2023

The rise of AI and ML in fraud prevention can lead to a new era of digital trust and compliance

Author: Jochen Werne / 26.12.2023

In an era marked by rapidly advancing technology and increasing global interconnectivity, the fight against online fraud has become a paramount concern for financial institutions, businesses, and regulators worldwide. Part of my professional work revolves around understanding and mitigating the risks associated with financial fraud. The Experian Forrester Fraud Research Report 2023, which was recently released, sheds light on the escalating threat of online fraud and the evolving strategies to counter it, particularly through the use of Machine Learning (ML) and Artificial Intelligence (AI).

The report’s findings are stark: a 74% increase in fraud losses in Germany, reflecting nearly the global increase rate. This surge is not just a statistic; it’s a clear indication of the sophisticated and pervasive nature of modern financial fraud. Companies across various sectors are feeling the impact, with financial services bearing the brunt. This trend is deeply concerning not only for the economic health of individual businesses but also for the broader stability and security of the financial system.

From a geopolitical perspective, the rise in online fraud is a multifaceted challenge. It’s a threat that transcends borders, affecting relations among nations, and has become a significant factor in international policy and security discussions. Countries, including Germany, are increasingly recognising the need for cooperative international efforts to combat this scourge. The geopolitical implications are profound, as fraud undermines economic stability and erodes public trust.

Turning to the German banking sector, the issue of compliance and reputation risk under the framework of Minimum Requirements for Risk Management (MaRisk) is particularly pertinent. Banks are finding themselves at the forefront of the battle against online fraud, necessitating robust risk management strategies that align with regulatory requirements. Under MaRisk, the mandate is clear: implement effective, comprehensive controls to detect, prevent, and manage fraudulent activities. The reputational risk for banks and their board members is immense; a single lapse can lead to significant financial losses, legal consequences, and lasting damage to customer trust.

In this challenging landscape, AI/ML-based fraud prevention methods stand out as beacons of hope. These technologies offer the promise of enhancing detection capabilities, reducing false positives, and adapting swiftly to new fraudulent tactics. However, their implementation must be undertaken with a clear understanding of the ethical implications and potential biases inherent in AI systems. As we embrace these technologies, we must also commit to transparency, accountability, and continuous improvement to ensure they serve the interests of all stakeholders fairly and effectively.

Despite the challenges, I believe there is a path forward that balances the need for security with the imperative for innovation and growth. The key lies in embracing a multi-faceted approach to fraud prevention that leverages the best of technology, human expertise, and regulatory compliance. ML, with its ability to learn and adapt to new patterns, offers a powerful tool in this fight. However, its effectiveness hinges on the quality of data, the integrity of algorithms, and the wisdom of the humans who guide its evolution.

The German companies surveyed in the study are acutely aware of the challenges and opportunities presented by AI/ML in fraud prevention. The overwhelming majority recognise the efficacy of ML-based approaches and anticipate their increasing dominance in the field. Yet, they also acknowledge the hurdles, including the costs associated with deploying advanced fraud prevention solutions, the need for continuous adaptation, and the importance of addressing the ethical considerations of AI use.

In my experience, one of the most critical factors for success in this endeavour is collaboration. Tackling online fraud is a collective effort that requires the involvement of businesses, regulators, technology providers, and consumers. By working together, sharing knowledge, and fostering a culture of innovation and vigilance, we can stay ahead of fraudsters and protect the integrity of our financial systems.

Another vital aspect is education and awareness. Both consumers and employees must be informed about the risks of online fraud and the steps they can take to prevent it. Regular training, robust policies, and a culture of security are essential in creating a resilient defense against fraud.

Finally, we must recognize that the fight against fraud is an ongoing battle. As technology evolves, so too will the tactics of fraudsters. We must remain agile, constantly updating our strategies, investing in new technologies, and adapting to changing regulatory landscapes. This dynamic approach is not just about defense; it’s about building a stronger, more secure future for everyone.

The Experian Forrester Fraud Research Report 2023 is a call to action. It highlights the urgent need for enhanced strategies, stronger collaboration, and a steadfast commitment to ethical, innovative solutions in the fight against online fraud. As leaders in the financial services industry, we have a responsibility to take the helm, steering our organisations towards safer waters in this tumultuous sea of digital threats. By harnessing the power of AI/ML, prioritising ethical considerations, and fostering a culture of collaboration and continuous learning, we can not only mitigate the risks of online fraud but also pave the way for a more secure, prosperous, and trustworthy financial ecosystem.

#fraudprevention #dataliteracy #machinelearning

Innovation & Business Jochen Werne Press & Publications Society & Diplomacy

Unpacking Transformation: A European perspective

Jochen Werne October 24, 2023

By Jochen Werne

I had the distinct honor, alongside CCO Björn Hinrichs, to represent Experian DACH at the Gala event 2023. Our heartfelt gratitude goes to acatech for their warm invitation.

It’s clear that fostering a robust relationship between science and industry is paramount. The National Academy of Science and Engineering stands as a beacon, guiding and correcting, making technological innovation the cornerstone of transformation. This union of strong research, pioneering companies, and forward-thinking policies is the backbone of what acatech and countless others strive for. In this journey, while competition fuels our drive, it is cooperation that offers the platform for greatness.

In the infinite expanse of space, we are but astronauts on a tiny speck called Earth. Regardless of our political and geopolitical landscape, science and research must always be the bridge, the “Bridge over Troubled Water” that connects us and ensures progress, says Jan Wörner, President of acatech, wisely.

In reflecting on this, Germany’s Federal President Frank-Walter Steinmeier’s words resonate deeply: “I think we should base our perspective more on Max Frisch and trust ourselves as individuals and society alike to be able to shape the future. And that means developing perspectives, broadening our horizons and, yes, always daring to try something new. We need all this in the phase of upheaval we are in. Holding on to the past, ignoring change, refusing change, that is not an option – especially not in an open society like ours. But: We have to give change – that is the task of politics, business and science – a direction!”

Drawing from these profound insights and looking through the lens of our work at Experian DACH, the era we are entering can be aptly described as a new Age of Enlightenment, where data and therefore data literacy is paramount. As the Enlightenment thinker Voltaire astutely pointed out, “Judge a man by his questions rather than by his answers.” It’s a sentiment that is even more relevant today. Taking cues from Immanuel Kant’s wisdom, enlightenment is about emerging from our limitations. In the context of our time, achieving data literacy and harnessing data effectively signifies our evolution from technological naivety.

While AI stands as a monumental tool to decipher this data, its effectiveness lies in the quality of the data it is fed. It brings to the fore the urgent need for data literacy. An AI is only as good as its data. Thus, a distorted understanding could lead to distorted outputs. The onus is on us, leaders in data, to champion the responsible use of AI and advance the narrative on the symbiotic relationship between data and AI.

This new Enlightenment is our journey towards an era where society is mature and informed, utilizing the strength of data and AI for the betterment of all. Knowledge, in this context, isn’t just power but the foundation for positive societal transformation.

Concluding with my personal reflection, data isn’t merely a quantified entity; it’s a potent instrument to comprehend and address pressing challenges. Our collective aim should be to cultivate an understanding of data – its collection, utilization, and, importantly, its ethical application.

Our commitment at Experian DACH, backed by our ‘data for good’ principle, is to be at the forefront of this change, guiding, and contributing to this transformative journey.

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More about the acatec Gala #FV2023 including the keynotes by Frank-Walter Steinmeier, Marion Merklein, Jan Wörner and Thomas Weber can be found here

Innovation & Business Jochen Werne Press & Publications

Efficient use of AI determines the competitiveness and thus the future of German companies

Jochen Werne October 1, 2023

Artificial Intelligence: The German Economy on the Cusp of Transformation

By Jochen Werne

1st October 2023, Düsseldorf

The “Experian 2023 Business Insights” report, released in September 2023, provides a revealing insight into the priorities of the global business community in the coming year. Particularly of interest to us in Germany is the insight into the transformative influence of Artificial Intelligence (AI) on areas such as analytics, risk assessment, and customer experience in the EMEA/APAC region.

Our German decision-makers are well aware of the pivotal role of AI in innovations. An encouraging finding: 60 percent of businesses in our country have already taken active steps to integrate AI into their processes.

However, the report also shows that not all executives in Germany are fully convinced of the benefits of using AI. The efficiency of AI in companies will determine how Germany stands as an economic location in an increasingly digital age. The transformation of raw data into meaningful insights and analyses will become a crucial competitive advantage for us.

It’s heartening to see that many of our international counterparts already recognise the benefits of AI. For more than half of the global companies, the productivity gains from AI already outweigh the initial costs.

One thing is clear: Our data infrastructure and the amount of data available will play a key role in the successful implementation of AI. Here, we as German businesses have some hurdles to overcome, especially regarding the availability of relevant data for critical business decisions.

In conclusion, I want to stress that, even with all the technology and data, we must never forget our ethical responsibility. AI must be employed in a transparent and responsible manner. The fact that already 61 percent of businesses in the EMEA/APAC region have a comprehensive AI risk management programme in place is promising.

The future is clear: businesses that properly harness AI will lead the competition. They’ll be able to leverage process efficiency and automation to unlock new growth opportunities.

For those who wish to read the full “Experian 2023 Business Insights Report”, you can find it here.

https://experianacademy.com/Forrester-Research-Report-2023

Innovation & Business Society & Diplomacy

60 years Economic Council (Wirtschaftsrat)

Jochen Werne May 26, 2023

It was a great pleasure for me, as a member of the Economic Council, to be invited to its 60th anniversary in Berlin.

“I firmly believe that it is part of the essence of a democracy that citizens, and thus society, are invited to help shape it on a daily basis. The Economic Council and its esteemed members have been working for the economic interests of the Federal Republic of Germany for over 60 years. As one of the many good interest groups in our country, it embodies the essence of civic participation in a modern democracy.”

Jochen Werne

The President of the Economic Council, Astrid Hamke, summarised the event as follows:

“To celebrate our anniversary “60 years of Wirtschaftstag – Werte. Prosperity. Cohesion.”, the Business Day was a two-day event. At the opening, we were able to welcome Federal Chancellor Olaf Scholz, who spoke in a – of course pre-arranged – series of speeches after the Belgian Prime Minister Alexander De Croo, BASF CEO Dr Martin Brudermüller and myself. For all our substantive criticism of the traffic light coalition, I must say that the Chancellor responded to our arguments with aplomb. Germany is facing immense challenges due to the fundamentally changed world situation, which must be mastered in addition to decarbonisation, digitalisation and improving competitiveness.”

Astrid Hamke

About

Source: https://wirtschaftsrat.de/en/

The Economic Council (Wirtschaftsrat der CDU e.V.) is a German business association representing the interests of more than 11,000 small and medium sized firms, as well as larger multinational companies. We provide our members with a platform to engage in a continuous dialogue with leading decision makers, both in Germany and Europe. We advocate economic policies which best reflect the principles of a social market economy as envisaged by Ludwig Erhard, Minister for Economic Affairs in the German Federal Republic between 1949 and 1963 and one of the co-founders of the Economic Council.

Members

Our members are drawn from all sectors of the business and entrepreneurial community, including banking and finance, insurance, the automotive and chemical industries, healthcare and high-tech. Members can be companies, independent business executives or freelance professionals.

The diverse nature of our membership yields significant political weight when addingpolicy proposals to the political agenda. We ensure that the principles of the social market economy are taken into account within the decision making process, not only in Berlin and Brussels but also in the German federal states.

What does the Economic Council do?

We organize over 2,000 events annually at all levels of the council. These range from one-off events aimed at highlighting particular areas of interest to regular annual events such as the Europe Symposium, Conference on Energy Policy and Wirtschaftstag. These events are attended by high ranking politicians, academics as well as members of the business community. They attract significant regional and national media coverage.

The way the economic council works reflects the three tier structure of the association with offices in Berlin, the German federal state capitals (with the exception of Bavaria) and Brussels.

Innovation & Business Press & Publications

Journal of Digital Banking: Same Game – Same Rules?

Jochen Werne March 29, 2023

It was a pleasure contributing once again to a Henry Stewart Publication. This time in co-authorship (Christoph Impekoven & Jochen Werne) we delineate for the Journal of Digital Banking the differences between stablecoins, in particular, and ‘fiat’ currencies, in general. When you have read this paper, you will know what a stablecoin is, what types there are, how it differs from the US dollar or the euro and why the most important currency in all worlds is ‘trust’.

The Journal can be bought online HERE

Journal of Digital Banking

Journal of Digital Banking is the major professional journal publishing in-depth, peer-reviewed articles and case studies on FinTech innovation, digital disruption and how to develop a profitable, customer-focused digital banking strategy – specifically by using technology and automation to deliver efficient, secure and seamless customer experiences with lower operating costs.

Each quarterly 100-page issue – published in print and online – will feature detailed, practical articles showcasing the latest strategic thinking on how to exploit new and existing digital banking markets, business models and FinTech innovations along with actionable advice and ‘lessons learned’ from fellow digital banking professionals on the key business, risk and operational requirements for putting that strategy into practice. It will not publish advertising but rather in-depth analysis of new thinking and practice at a wide range of financial institutions, FinTech innovators and start-ups, investors, central banks and financial regulators worldwide for readers to benchmark their organisation against, with every article being peer-reviewed by an expert Editorial Board to ensure that it focuses on the digital banking professional’s perspective, the challenges they face and how they can tackle them.

Journal of Digital Banking is listed in Cabells’ Directories of Publishing Opportunities.  

Journal of Digital Banking is abstracted and indexed in the Research Papers in Economics (RePEc) database IDEAS

As such Journal of Digital Banking publishes articles on:

  • Innovative digital payment services
  • FinTech innovation
  • Digital payments product management
  • AI and machine learning
  • Mobile banking and apps
  • Blockchain
  • Open banking
  • Customer service, personalisation and user experience
  • Digitisation initiatives and replacing legacy systems
  • Investing in digital banking start-ups
  • Big Data and analytics
  • Risk, fraud and security
  • Regulation and compliance
  • Barriers to consumer adoption and how to overcome them
  • Standardisation initiatives
  • Digital, alternative and cryptocurrencies
  • Business models and partnerships
  • Digital banking operations and services

Rather than publishing advertising or the ‘bite-sized’ articles all too common on the internet, Journal of Digital Banking provides in-depth guidance and analysis on the key issues facing financial services in today’s rapidly evolving digital world, with high-quality articles from leading banks and other financial institutions, FinTech innovators and startups, central banks, financial regulators, investors, consultants and service providers, plus researchers and educators in the field.

Essential reading for Departmental Heads, Directors, Managing Directors, VPs, SVPs, EVPs and Senior Managers of:

  • Digital strategy
  • Digital banking
  • Mobile payments
  • Online banking
  • Payments innovations
  • Marketing
  • Customer insights and analytics
  • User experience
  • Payments
  • Social media
  • Payments strategy
  • Product management/strategy
  • Transaction banking
  • Payments operations and services
  • Payment systems; as well as
  • Presidents, CEOs, CTOs, CFOs, COOs and CIOs
Innovation & Business Press & Publications

New publication: The world’s most important currency 

Jochen Werne March 19, 2023

It was a great pleasure for me to contribute to Roland Eller’s, Markus Heinrich’s and Maik Schober’s latest, much acclaimed publication ”Investing money like the pros”.

As co-authors, Christoph Impekoven and Jochen Werne reflected on the topic ”The world’s most important currency”.

DO THE SAME RULES APPLY TO CENTRAL BANK AND CRYPTOCURRENCIES WHEN IT COMES TO MONETARY STABILITY? AND HOW DOES AN INVESTOR RECOGNISE THE SAFE HAVEN IN THE CRYPTO WORLD?

FIND OUT MORE IN THE NEW BOOK

The financial market offers numerous opportunities to achieve returns with manageable risk. For anyone who wants to take advantage of these opportunities and make long-term provisions, Geldanlage wie die Profis (Investing like the Pros) offers the knowledge and proven strategies of more than 25 renowned authors, which can be easily transferred to private investment.

On the one hand, the most important topics for beginners are covered: How do you find the right risk class for you? How beginner-friendly are shares, funds and ETFs? What tax issues need to be considered? On the other hand, the current megatrends are explained – alternative energies, cryptocurrencies and the real estate boom – where are high profits to be made, where does risk predominate? An indispensable guide for anyone who wants to make more out of their savings in the long term.

The book can be bought on Amazon – just click here

Innovation & Business Press & Publications

Far-reaching influence: German AI experts quoted in Korean “theSCIENCEplus” blog article “ChatGPT – Breakthrough or Hype?”

Jochen Werne March 19, 2023

In March 2023, the Korean blog “theSCIENCEplus” by Moon Kwang-ju published the article “ChatGPT – Breakthrough or Hype”. The article is based on the argumentation of the scinexx article “ChatGPT and Co – Opportunity or Risk?” by Nadja Podregar and refers to insights from leading German experts such as Johannes Hoffart, Thilo Hagendorff, Ute Schmid, Jochen Werne et al. Most of these experts are also organised in Germany’s leading AI platform “Learning Systems”.

Please find theORIGINAL ARTICLE HERE and a translation from Korean to English created with the German AI-platform DeepL.com below

Read 3’40”

ChatGPT – Opportunity or Risk?

Features and consequences of a new AI system

ChatGPT can write poems, essays, professional articles, or even computer code. AI systems based on large-scale language models like ChatGPT achieve amazing results, and the text is often almost indistinguishable from human work. But what’s behind GPT and its ilk? And how intelligent are such systems really?

Artificial intelligence has made rapid progress in recent years. The system, which is based on a combination of artificial neural networks, has been accessible via the Internet since November 2022, so it was only through ChatGPT that many people realised what AI systems can already do. His impressive achievements sparked a new debate about the opportunities and risks of artificial intelligence. This is another reason to reveal some facts and background information about ChatGPT and its “identities”.

Artificial Intelligence, ChatGPT, and the Results “Breakthrough or Hype?”

“In my first conversation with ChatGPT, I couldn’t believe how well my questions were understood and put into context.” These are the words of Johannes Hoffart, head of SAP’s AI department. OpenAI’s AI system has been causing sensation and amazement around the world since it first became accessible to the general public via a user interface in November 2022.

A flood of new AI systems

In fact, thanks to neural networks and self-learning systems, artificial intelligence has made huge strides in recent years. AI systems have also made tremendous progress in the human domain, whether it’s mastering strategy games, deciphering protein structures, or writing programme code. Text-to-image generators like Dall-E, Stable Diffusion, or Midjourney create images and collages in the desired style in seconds based solely on textual descriptions.

Perhaps the biggest leap in development has been in language processing. So-called Large Language Models (LLMs) have been developed to date, allowing these AI systems to carry out dialogues, translate texts, or write texts in an almost human-like form. These self-learning programmes are trained using millions of texts of all kinds and learn which content and words occur most often and in which context, and are therefore most relevant.

What does ChatGPT do?

The most well-known of these major language models is GPT-3, the system behind ChatGPT. At first glance, this AI seems to be able to do almost anything. It answers all kinds of knowledge questions, but it can also solve more complex linguistic tasks. For example, if you ask ChatGPT to write a 19th-century novel-style text on a particular topic, it will do so. ChatGPT also writes school essays, scientific papers, or poems with ease and without hesitation.

OpenAI, the company behind ChatGPT, lists about 50 different types of tasks that a GPT system can perform. These include writing texts in different styles, from film dialogues to tweets, interviews or essays, “micro-horror story creators” or “critiquing chatbot Marv”. The AI system can also write recipes, find colours to match your mood, or be used as an idea generator for VR games and fitness training. GPT-3 is also programmable and can convert text into program code in a variety of programming languages.

Just the tip of the iceberg

It’s no surprise that ChatGPT and its “colleagues” are hailed by many as a milestone in AI development, but can GPT-3 and its successor GPT-3.5 really make such a quantum leap? “In a way, it’s not a big change,” said Tilo Hagendorf, an AI researcher at the University of Tübingen. Similarly powerful language models have been around for a long time. “But what’s new now is that companies have dared to attach such language models to a simple user interface.”

Unlike before, when such AI systems were only tested or used in narrowly defined, private areas, ChatGPT now allows everyone to try out for themselves what is already possible with GPT and its ilk. “This user interface is really what started all this crazy hype,” Hagendorff said. In his assessment, ChatGPT is definitely a game changer in this regard. Because now other companies will offer their language models to the general public. “And then the creative potential that will be unleashed, the social impact it will have, I don’t think we know anything about that.”

Consequences for education and society

The introduction of ChatGPT is already causing considerable upheaval and change, especially in education. For pupils and students, AI systems now open up the possibility of having homework, school essays, or seminar reports that are simply prepared by artificial intelligence. The quality of many ChatGPT texts is such that they are not easily exposed as AI-generated.

As a result, many classical forms of learning success control may become obsolete in the near future. Schmidt, head of the Cognitive Systems working group at the University of Bamberg. Until now, knowledge learnt at school, and sometimes even at university, has mainly been tested by simple queries. However, competences also include the derivation, verification, and practical application of what has been learnt. In the future, for example, it may make more sense to conduct test interviews or set tasks involving AI systems.

“Large-scale language models like ChatGPT are not only changing the way we interact with technology, but also the way we think about language and communication,” said Jochen Werne of Prosegur. “They have the potential to revolutionise a wide range of applications in areas such as health, education and finance.”