Small talk with Siri, Alexa & Co.

What role does humans play in times of exponential technological developments and how does this influence our society?

Author: Jochen Werne / first published May 2019 @LinkedInPulse

Siri or Alexa? Who can offer us more help in our daily life? Who provides the better answers and leads the more eloquent conversation? A legitimate question, because both Smart Devices are now so technically mature that it is difficult to make a simple distinction. Alexa was only launched in November 2014 in the USA and at the end of October 2016 in Germany.

Our world is changing from analogue to digital. While the invention of the printing press in 1450 by Gutenberg was a true milestone on the timeline of human development, we now live surrounded by smartphones and cloud applications in which we can store, share and retrieve even the most private information from anywhere in the world. Smart support is omnipresent: Siri accompanies us through everyday life in the form of Apple products and Alexa awaits us – Amazon powered – with a familiar voice when we get home. The intelligent speech assistance systems are only one of many modern applications of Machine & Deep Learning technologies and are therefore more broadly defined by artificial intelligence. With the extremely dynamic and rapid development of smart robotics and learning systems, some people are asking themselves what role humans will play on the stage of these technologies in the future.

The emerging technological possibilities, like all technological achievements in the past, have an impact on our daily personal lives, but their potential unfolds when we consider this impact in a scaled way and when it comes to our society as a whole. The Tübingen professor of media science, Bernhard Pörksen, even speaks of the fact that we have long since been able to be described as a “digital society” – this change took place in an extremely short time and without us being prepared for it. As a result, we would first have to learn competences to understand our actions in this new digital world and also to learn how to deal with the resulting effects. The learning of these skills takes place at different speeds in the case of digitisation issues, even against a demographic background. In contrast to the digital natives of the 21st century, some parts of our population with fewer points of contact with digital media find it more difficult to deal with the challenges of new technological standards and to adapt to the changed conditions in the service sector. The efficiency of the technical possibilities that permeate all areas of our lives is impressive, but it is crucial for success in the service sector not to ignore one factor: human empathy. 

An example of this is the financial sector. Your own money is an issue that most people are most personally concerned about. However, plagued by fears of loss, personal biases and an extremely complex oversupply of investment alternatives, many investors seek personal support that goes beyond enumerating facts. We are talking about human support and empathic accompaniment, which machines (so far) have not been able to provide. A service that ideally covers not only the technical aspects of financial consulting, but also the behavioural finance aspects.

Undoubtedly there are already developments like Google Assist, in which attempts are made to incorporate empathic components into the developments, but the ability of the machines to simulate emotions and accordingly cause emotional reactions in humans (still) reaches its limits.

The upcoming technological developments will help us to solve many hitherto unsolvable problems in e.g. medicine, in environments hostile to humans or in a World Food Programme in a relatively short time. But as always with new technologies, it is also important to limit the abusive possibilities of use and to educate population that have little contact with modern instruments and technologies, because otherwise there is the danger of creating a feeling of inequality, which in turn can lead in extreme cases to a division of society. The desired progress would thus be reversed into its opposite: a step backwards based on a lack of communication at the micro and macro levels. 

“It will certainly be our task in the future to ensure that developments in technological progress, artificial intelligence and the role of man go hand in hand. To advance optimizations through technology and digitization, as well as a parallel enlightenment of the individual with regard to his uniqueness in relation to technological development, as well as his social responsibility in this context.” 

Jochen Werne

The following comparison should simplify the problem between strengths and limitations of automated systems: In 2012 an autopilot would probably not have let the Costa Concordia collide with a rock – the reason was human, emotionally driven behaviour. But an autopilot could not have landed an Airbus 320 on the Hudson River in 2009 either. This required human experience and spontaneous creativity. Something that our brain can do, but that still allows the technical possibilities of AI to reach hard limits for the foreseeable future.

It remains to be said that smart devices like Alexa and Siri provide valuable support and even provide entertainment with the increasingly mature question-and-answer game. We can ask the digital companions anything. We also get – within the scope of technical possibilities – a cheeky answer. But we have to deal with the extent to which these answers provide us with what we expect, also on an emotional basis. Because our expectations often go beyond a technical answer. 

More in-depth insights on this topic can be found, for example, at the Platform for Learning Systems (https://www.plattform-lernende-systeme.de/home.html ).

Recorded: EIC19 keynote. The impacts of artificial intelligence on business and society. Disruption or just progress?

It has been greatly inspiring giving a keynote on the impacts of AI on business and society and to discuss with some of the 800 thought leaders, leading vendors, analysts, visionaries and executives at the highly recognised Kuppinger Cole European Identity & Cloud Conference 2019.

Jochen Werne

Find more inspiring keynotes from the #EIC19 here

Impressions

digital thoughts 2019: Expeditions into the digital world – technologies, ongoing change, leadership

On May 23, ec4u will present innovations and trends for the customer experience and innovative applications for marketing, sales and service together with customers, experts and opinion formers and address the challenges of digital leadership in the midst of (agile) transformation:

  • How, for example, AI and other innovations can support marketing, sales and service both on the customer side and internally. 
  • How executives can deal with digital change in order to grow with their company. 
  • What communication, organization and culture in agile transformation can and must look like to provide a stable foundation for your business.

LEARN MORE HERE

“It’s greatly inspiring giving a real keynote in an innovative virtual conference like Digital Thoughts 2019”

Jochen Werne

Messekongress Kundenmanagement in Versicherungen

Speaker Engagement
 
“Es is ein besonderes Vergnügen zur Premiere des Messekongresses Kundenmanagement in Versicherungen, mit dem Expertenauditorium über die Zukunft des Versicherungssektors und ‘KundenBEZIEHUNGEN in Zeiten exponentieller Technologie’ zu reflektieren. Gratulation an das Team der Versicherungsforen Leipzig zur Schaffung dieses neuen Konferenzformats”
 
Jochen Werne, Direktor & Prokurist der Bankhaus August Lenz & Co. AG
 
 
 
Impulsgeber page2image3791479472
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2019 öffnet der Messekongress Kundenmanagement in Versicherungen erstmals seine Tore für Sie und Kollegen aus der Versicherungswirtschaft. Dabei fügen sich erfolgreiche Veranstaltungskonzepte der Versicherungsforen Leipzig, zu den The- men Vertriebsmanagement, Beschwerdemanagement, Social Media und Kunden- management, ineinander und formen diese neue Plattform für die Assekuranz.

Als IMPULSGEBER vereint der Messekongress die innovativsten Ideen und Lösun- gen und garantiert Ihnen an zwei Tagen strukturierten Erfahrungsaustausch und maximalen Wissenstransfer zu allen Themen rund um das ganzheitliche Kunden- management. Nutzen Sie das spannende Vortragsprogramm, die vielschichtige Ausstellung und interaktive Formate, um die Themenfelder Kundenmanagement, Beschwerde- und Qualitätsmanagement, Vertriebsmanagement sowie Social Me- dia mit Kollegen aus der Branche zu diskutieren. Wir freuen uns auf Sie!

Digital Thoughts 2019

Wir haben immer weniger Zeit und müssen immer mehr wissen. Da bietet sich digitales “Lernen” statt das Besuchen von Konferenzen an. Aber rein lineare Webinar-Reihen sind irgendwie auch langweilig. Wir wollen mit der Digital Thoughts 2019 die Atmosphäre einer Veranstaltung vor Ort mit den Vorteilen einer digitalen Begegnung vereinen.

Die Digital Thoughts 2019 ist deshalb eine ganztägige, rein virtuelle Konferenz. Ihr Ziel ist, die Einflüsse von Technologien und digitalen Themen auf Unternehmen, Geschäftsmodelle und Märkte zu beleuchten. Dabei betrachten Experten in Interviews, Vorträgen, Use Cases, Podiumsdiskussionen und mehr die Auswirkungen auf die Zusammenarbeit und Organisation, auf neue Geschäftsmodelle und auf das Führungsverhalten.

Die Digital Thoughts 2019 richtet sich an Führungskräfte und Experten in Marketing, Sales und Service und beleuchtet mit Hinblick auf die einzelnen Herausforderungen die Innovationen und Trends für die Customer Experience, Produktivität, Kommunikation sowie innovative Anwendungen im Kundenmanagement.

Am 23. Mai stellen wir gemeinsam mit Kunden, Experten und Meinungsmachern Innovationen und Trends für die Customer Experience und innovative Anwendungen für Marketing, Sales und Service vor und gehen auf die Herausforderungen einer digitalen Führung inmitten einer (agilen) Transformation ein:

  • Wie zum Beispiel KI und andere Innovationen sowohl auf Kundenseite als auch intern Marketing, Sales und Service unterstützen können. 
  • Wie Führungskräfte mit dem digitalen Wandel umgehen können, um zusammen mit ihrem Unternehmen daran zu wachsen. 
  • Wie Kommunikation, Organisation und Kultur in der agilen Transformation aussehen können und müssen, um eine stabile Grundlage für Ihr Unternehmen zu liefern.

Weitere Veranstaltungsinformationen finden Sie auch unter: https://www.xing.com/communities/groups/digital-thoughts-be58-1108570 

Wichtig: Bitte melden Sie sich auf der verlinkten Registrierungsseite an: https://www.ec4u.com/digital-thoughts-2019/ Herzlichen Dank. 

Programm

VORMITTAGS:

  • What’s next? Expeditionen ins Digitalreich.Technologien, Ongoing Change, Digital Leadership.  Jochen Werne, Direktor Marketing & Business Development Bankhaus August Lenz 
  • I like to move IT. Agile Transformation mit, durch und in Beratungsunternehmen. David Laux, CEO ec4u; Mario Pufahl, CSO ec4u; Jens Wilhelms, Manager CEM Swisscom 
  • Entmystifizierung Blockchain: Chancen für die Customer Journey. Erol Jasaroski, Principal Consultant ec4u 
  • Menschenversteher– wie Content dank Künstlicher Intelligenz im richtigen Moment beim Kunden landet. Christian Bahrendt, Head of Business Development Germany Advertima 
  • Effektiv ohne Chef – Mit Holokratie zur Responsiven Organisation. Melanie Vones, Transformator OOTW  

NACHMITTAGS

  • Alles im Loop: Customer Connection. Frank Müller, Manager Professional Services ec4u 
  • Von Stroh zu Gold:Wie Sie Kundendaten nutzen, um in Aktion zu treten. Bianca Sünkel, COO cx/omni 
  • Alle für einen, einer für alle:Intelligent Workplace for Sales. Mario Pufahl, CSO ec4u;  Vincent Aydin, Messe München 
  • Role of Conversational User Interfacesin CX. Sebastian von Gregory, Solution Architect Oracle;  Alexander Varro, CEO 8reasons Digital 
  • How to be a digital leader– Selbstverständnis als Mensch und Führungskraft. Ingo Kallenbach, Inhaber Reflect;  Cyrill Luchsinger, Manager CEM Die Schweizerische Post;  Céline Flores Willers, Personal Branding 
  • Der Moment der Wahrheit– Volvo und die Customer Journey. Harry Wessling, Manager Professional Services ec4u 

Was Sie mitnehmen werden:

  • Einblicke in spannende Uses Cases neuer Technologien
  • Erste Ansätze zur Integration von Use Cases in das eigene digitale Geschäftsmodell und die Integration in Ihre Customer Experience
  • Anreize zur persönlichen Weiterentwicklung als Digital Leader und Erfahrungsaustausch mit anderen Teilnehmern
  • Handlungsimpulse für die Begleitung und Führung von virtuellen Teams im Ongoing-Change
  • Möglichkeit zum fachlichen Austausch, integriert in Ihren Berufsalltag

 

 

 

 

“Google, how’s my portfolio performing and what to do now?” AI in the financial sector – the next big thing?

Original published in German in the Handelsblatt KI-Summit “KI-Business Guide”. Translation performed by DeepL.com

“Google, how are my stocks doing and what to do?” AI in the financial sector – the next big thing? by Jochen Werne, Bankhaus August Lenz

AI is making its way into every industry, but banks, insurance companies and FinTechs in particular are seeing a renaissance for their data-based business models in disruptive times. Jochen Werne, director and head of the innovation team at Munich-based private bank Bankhaus August Lenz, explains the role that the human factor will play in banking and consulting in the future.

Google, Apple, Facebook and Amazon (GAFA) have long seen artificial intelligence as the technology of the future. Banks and insurance companies also see the potential in machine and deep learning approaches to be a relevant player in the future in an increasingly technology-driven market environment. After “FinTech”, “Blockchain” and “Crypto-currencies”, “AI” is the new buzzword of the industry. From the AI-optimized chatbot to highly complex, self-learning, investment algorithms – the omnipresence of the term suggests that the integration of Artificial Intelligence into one’s own business model seems to be virtually necessary for survival. But is that really the case, where do we stand and which factors cannot be replaced by technology?

What becomes possible in times of exponential technologies is de facto nothing less than a revolution. The financial industry holds a vast amount of valuable and already processed data. Not only do they reflect our daily and extremely private life, from buying tickets for the subway via apps to the preference of our garments – but they reflect also the payment flows of entire companies and industries, and therefor our entire economy. Maturing AI systems not only make it easier to prepare and process this data, they also make it much cheaper, faster and more targeted. AI will not only enable banks to make their services more customer centric, it will also transform most areas of the financial industry – from asset management to business operations and money laundering prevention to marketing.

Data protection has top priority

Every major technological leap has historically been accompanied by a positive and an abusively usable development. TIME magazine recently published an article by Apple CEO Tim Cook entitled “It’s time for action on privacy. We all deserve control over our digital life”. Every electronic transaction generates customer-specific data. These structured data sets, which have been collected for many years, are now becoming the most valuable raw material. It’s important to create meaningful use-cases especially when it comes to the enrichment of existing structured data sets with external, possibly unstructured data. However, this is exactly where the risk lies. If sensitive data falls into the wrong hands and is deliberately misused, cyber attacks can cause considerable damage to individuals and groups. Trust is and remains therefore one of the most important assets of a credit institution or financial service provider. Consequently, the protection of customer data in a digital banking world has absolute priority today more than ever before. When using AI technology, it is therefore essential to use private and sensitive data in the interests of the customer. And this is where not only IT and cyber security departments of banks come into play, but also politics: their primary task must be to find meaningful solutions for handling the effects of the use of AI on society, the economy and thus on our lifes and the work of tomorrow. And this without endangering the competitiveness of our own country. The fact that this topic is taken seriously is evident not only in national initiatives such as the German Platform for Artificial Intelligence “Lernende Systeme”, but also, for example, in the European Artificial Intelligence shoulder-to-shoulder approach, which is being pushed forward at full speed by France and Germany.

The ideal model for private customer business: Connection of AI and human-based advise

In order to advance the acceptance of AI in the financial sector, it is important that existing digital tools are even better adapted to customer needs. The successful symbiosis between people and digital technology is indispensable. With the help of online financial forums, banking apps, vlogs and digital industry comparisons, private individuals can now achieve basically the same level of knowledge as financial professionals, but what is usually lacking is the successful filtering of the “information overload” and the consideration of the behavioral finance problem.

A realistic model for the successful transformation of the financial sector is therefore quite simple: streamline business models and processes, use data efficiently and always place the needs of customers at the centre of all activities. Taking advantage from technological progress always comes with successful deployment scenarios. Consequently, the technological revolution associated with the use of AI systems can only succeed if it is accepted by society – meaning, by us humans.

Germany’s platform for artificial intelligence “Lernende Systeme”

It’s greatly inspiring and an honour being part of this unique platform which is concentrating knowledge and illustrating perspectives in the field of artificial intelligence and self learning systems

The Plattform Lernende Systeme brings together expertise from science, industry and society for fostering Germany‘s position as an international technology leader. It understands itself as a forum for exchange and cooperation.

Click here for more insight views:https://www.plattform-lernende-systeme.de/home-en.html

Designing self-learning systems for the benefit of society is the goal pursued by the Plattform Lernende Systeme which was launched by the Federal Ministry of Education and Research (BMBF) in 2017 at the suggestion of acatech. The members of the platform are organized into Working Groups and a Steering Committee which consolidate the current state of knowledge about self-learning systems and Artificial Intelligence. They point out developments in industry and society, analyse the skills which will be needed in the future and use real application scenarios to demonstrate the benefit of self-learning systems. A Managing Office at acatech coordinates the work of the platform.

Concept and aims of the platform

Self-learning systems are increasingly becoming a driving force behind digitalisation in business and society. They are based on Artificial Intelligence technologies and methods that are currently developing at a rapid pace in terms of performance. Self-learning systems are machines, robots and software systems that learn from data and use it to autonomously complete tasks that have been described in an abstract fashion – all without specific programming for each step.

Self-learning systems are becoming increasingly commonplace supporting people in their work and everyday lives. For example, they can be used to develop autonomous traffic systems, improve medical diagnostics and assist emergency services in disaster zones. They can help improve quality of life in many different respects, but are also fundamentally changing how humans and machines interact.

Self-learning systems have immense economic potential. As digitalisation takes hold, they are already helping companies in certain sectors to create entirely new business models based on data usage and are radically changing conventional value creation chains. This is opening up opportunities for new businesses, but can also represent a threat to established market leaders should they fail to react quickly enough.

Developing and introducing self-learning systems calls for special core skills, which need to be carefully nurtured to secure Germany’s pioneering role in this field. Using self-learning systems also raises numerous social, legal, ethical and security questions – with regard to data protection and liability, but also responsibility and transparency. To tackle these issues, we need to engage in broad-based dialogues as early as possible.

Plattform Lernende Systeme brings together leading experts in self-learning systems and Artificial Intelligence from science, industry, politics and civic organisations. In specialised focus groups, they discuss the opportunities, challenges and parameters for developing self-learning systems and using them responsibly. They derive scenarios, recommendations, design options and road maps from the results.

Handelsblatt AI Summit: Revolutionary technology & the impact on our society

AI thought leaders met on the 21st and 22nd at the #HBAISummit not only to discuss the latest developments in machine and deep learning programming but especially real use-cases, trends in the start-up scene, the role of Germany and Europe in the AI race and the impact of AI on our society. Read more here

It has been a great pleasure discussing and being inspired by a highly engaged auditorium during two sessions:

AI in Finance

Fireside Chat: Es geht immer Meer

Handelsblatt KI-Summit – Thoughtleaders in AI meet in Munich

It’s a great pleasure having the chance to meet international experts and supporting the Summit as Speaker on AI in Finance and with an evening fireside chat about leadership, transformation and the sea.

HANDELSBLATT KI-SUMMIT

DETAILS & LINK TO THE SUMMIT
Fireside Chat in der Future Lounge about Leadership in times of transformation

KI-INsights Businessguide

Read interviews and articles from experts in the KI-Businessguide published by the Handelsblatt for the Summit and free to download on this website

It was a pleasure supporting the publication with reflection on AI developments in the Financial Industry called: “Google, how are my stocks doing and what to do?” AI in the financial sector – the next big thing?
AI in Finance Session in the Handelsblatt KI-SUMMIT
AI in Finance Session in the Handelsblatt KI-SUMMIT

New ways – Artificial Intelligence in Cyber Security

Defense against cyber attacks through new technologies

Author: Jochen Werne – published by Der Bank-Blog – 15 February 2019

Cyber crime has become a serious threat to business, politics and private individuals since a long time. New technologies based on the use of artificial intelligence might offer more security.

The fight against cyber threats has become significantly more complex for global government organisations, businesses, and individuals in recent years. Technical protection of IT systems and infrastructures and thus data security in the narrower sense are no longer the only issues. Companies, for example, need to address the much broader concept of information security.

Solutions based on artificial intelligence could prove helpful in the fight against cybercrime. According to a study by the IBM Institute for Business Value, the spread of intelligent, AI-based security solutions will increase significantly in the coming years.

Technical protective measures have long since been based on machine learning, for example, to identify spam or phishing e-mails or to record trends and anomalies in large amounts of data – both in data traffic within the corporate network and in its external connections.

Jochen Werne
Jochen Werne

AI systems for the identification of cyber attacks

In future, for example, systems might also be able to identify hidden channels in the corporate network through which cyber criminals attempt to acquire data. AI’s greatest strength, pattern recognition, enables automated detection of a wide range of anomalies and security incidents. For this purpose, however, AI-based systems must also learn to distinguish between common IT failures and cyber attacks. In addition, self-learning algorithms need to take internal corporate processes into account to come up with precise results.

In the near future, according to a forecast by Christian Nern, former Head of Security Software DACH at IBM Germany and today Partner at the Consulting firm KPMG, AI-based security analysis systems will be able to detect and fend off attacks proactively. Then, according to the former IBM security software chief, the confrontation between cyber criminals and security officers could possibly take place directly between the AI systems they use.

Germany as a pioneer country

Germany, which considers itself a pioneer country in the fields of learning systems and artificial intelligence, has already launched a platform for artificial intelligence on this topic initiated by the Federal Ministry of Education and Research (BMBF): “Learning Systems”. The platform with its 200 members brings together leading experts from science, business and society and deals with technological, economic and social issues relating to the development and introduction of learning systems on an interdisciplinary and cross-sector basis.

One of the seven working groups deals in particular with IT security, privacy, law and ethics. The composition of the topics in this group shows the interwoven culture-specific discussions that will later lead to scenarios, recommendations, guidelines and roadmaps.

Intelligent combination of available modules

As often in cyber security topics, there is no patent solution for the numerous questions and challenges. A company-wide risk management system, which establishes appropriate technical and organisational measures and also takes into account findings from psychology and cultural studies, seems to be a sensible way forward.

The right balance between security awareness and security, individual freedom paired with increased personal responsibility as well as support through technology and organisational structure is probably the most promising approach in the current state of research and technology to effectively meet the challenges for information and IT security.