IBM Client Center Madrid

As healthcare systems around the world consider how to sustain access, quality and efficiency in the face of relentlessly increasing demand, there is intense interest in understanding where value is delivered. Value measurement must be centered on patients, both groups and individuals. To enable this to happen the system requires capture and aggregation of local and global data, and analysis of this data to uncover value, including the use of predictive analytic models to help clinicians and care managers anticipate problems before they develop, and mitigate health issues before they worsen. Our study sets out why healthcare systems need to move quickly to measure and reward outcomes and value; provides a roadmap for clients which will deliver faster results, including automation tools and uncovers who is most ready to collaborate in this journey.

This webinar is an opportunity to hear from IBM Research what it takes to develop AI-powered prediction technologies for enterprise applications. With AI on the rise, faster and better prediction tools will soon change entire industries. They will create new opportunities but also bring new challenges. The quality, impact and acceptance of prediction technologies don’t only depend on the availability of “good and fair” input data but also on responsible design and their ability to explain themselves. IBM researchers Abdel Labbi, Anika Schumann and Dorothea Wiesmann provide insights into the state-of-the-art in AI technologies, prospects and boundaries. You will also learn about current research efforts aimed at creating AI systems, which are explainable, fair, secure, robust and scalable. The talks were recorded at the "Power of Predictions" Conference (https://www.gdi.ch/en/events/power-predictions), jointly organized by GDI, Swiss Re and IBM Research.

Hear the panel of clinical AI leads and practicing oncologists from Guy's and St Thomas' NHS Foundation trust and IBM Watson Health discuss how to tackle the challenge of unwarranted variation in cancer care, the role that advanced technologies such as AI have to play, and the benefits to patients, healthcare systems and governments across Europe.

Digital is reinventing new structures, new types of customer relationships and new ways of building financial institutions, all of which are impacting the ability of financial services organisations to perform effectively. Traditional banking services have become increasingly commoditized as a result. In response, banks are componentising their business and functional activities to seek out greater value. A platform economy is emerging, to enable much closer collaboration, radically lower costs, and a highly energetic focus on the customer, at scale, for banks and multiple industries alike.

To understand where the banking industry is heading, and how it can thrive in the new environment of converged industries and competition, we surveyed 850 banking and financial markets executives across all major geographies and a variety of C-suite roles. In this webinar we share insights from our research findings and share three key recommendations to guide executives in reorganizing the way they do business to compete successfully in an age of cross-industry platform business models.

The international economic landscape is being fundamentally altered by the twin impacts of changing trade regimes and digital disruption. This session covers the major findings from IBM's 2019 Global Location report which highlights historical trends and shifts in foreign investment which are directly impacting the global economy.

Digital technologies and consumer expectations are having a profound impact on the automotive industry. Digital experiences of the past will not suffice for the future. In order to succeed or even survive, 50% of automotive executives say their organizations need to digitally reinvent themselves. Even the brand which was once sacred, is now in question.

More than twenty years after deregulation, and despite impressive growth, the Indian insurance industry is still at less than 4% insurance penetration and a density of USD 60 per capita – much lower than for example China.  Where are the road blocks to more success, and what can India’s insurance industry do about it? Join us in this webinar, as the authors discuss how customer centricity, the paradigm that is driving much of the insurance industry elsewhere in the world, can help India’s insurance sector tap its full potential. It will need to unlock the huge groups of unserved and underserved customer bases. As relative late comers to the game, Indian insurers have the chance to leapfrog many of the issues their Western counterparts have been facing, moving directly to Digital Reinvention, and learning from global best-in-class examples.

In today’s digital economy, vast amounts of value are trapped inside processes and organizations that don’t connect. Do not miss that unique opportunity to hear about a few of the key lessons learned in designing and deploying solutions that break down those barriers to create new business networks with more trust and transparency using blockchain technology. Whether you are getting started with your journey, looking to accelerate or innovate further, this webinar touches upon each step of the journey, the common pitfalls as well as the less obvious lessons in building and scaling blockchain-based solutions.

Throughout economic history, talented humans have been a source of innovation and advancement – their skills the impetus for economic growth. Today, multiple factors are creating a perfect storm that is affecting the value, need, and availability of workforce skills. The result is a looming global talent shortage with the power to impact individuals and economies worldwide. Over the past several years, the IBM Institute for Business Value has conducted significant research on this critical topic. Our research reveals the increasing importance of workforce skills, the challenges organizations across industries and geographies face in developing and maintaining skilled workers, and the tactics they employ to combat those challenges. On this webinar we share insights from our research findings and share three key strategies to guide executives in closing the skills-related gaps in their organizations. 

Enterprise IT is at a major inflection point in its evolution, as organizations move toward a hybrid, heterogeneous and distributed multi-cloud model. In addition, the rapid adoption of AI-based strategies, with the need to process large amounts of data in near real time, is causing us to rethink the entire value chain of how data is – responsibly– collected, curated, stored, protected, analyzed and used. In this future cloud, an open platform approach will clearly be the strongest technological game changer. Businesses need to be able to manage and integrate workloads as well as internal and external data securely and efficiently across their public and private clouds, on-premise and across edge devices. As a result, today’s CTOs/CIOs are challenged not only to steer a course in their organization’s adoption of an AI application, systems and cloud strategy, but to also keep an overview of what is happening throughout the supporting technologies and platforms. All this, even as the underlying business models of their organizations continue to evolve!

In this webinar, Dr. Alessandro Curioni, IBM Fellow, Vice President Europe and Director, IBM Research – Zurich, will share his perspective on how enterprises can harness AI and data in the multi-cloud era.

Everyone in the connected car ecosystem needs to consider privacy a key element of connected cars, from designers and suppliers of subsystems, sensory environment, and applications; to manufacturers who integrate these components. While some manufacturers and suppliers anticipate the demand for privacy, all too often, their actions are reactive. To address privacy challenges and evolving regulatory requirements, a paradigm shift has now become essential. The automotive ecosystem can’t wait to react. Instead, it needs to proactively plan and design for privacy, an approach that is embodied in the privacy by design and default principle.

In this webinar, you can have a quick overview of two business solutions available at IBM Client Center in Vienna:

• Digital Reinvention: Disrupt your Business with Emerging Technologies
  Franz Dornig, Manager of IBM Cognitive Solutions at IBM in Austria, is going to introduce Digital Reinvention from IBM's perspective. He offers exclusive insights on how a possible business transformation could look with the help of the IBM Client Center in Vienna.
• Disrupting Businesses: Digital Transformation with Linguistic Analysis Technologies
  Judit Langer, Healthcare Consultant at IBM Austria is going to introduce this asset to you and explains how companies can benefit from linguistic analysis technologies based on different use cases. She is going to give exclusive insights on how you can identify possible transformation projects for your industry in the field of natural language processing with the help of the IBM Client Center in Vienna.

When insurance stops being a mandatory requirement – how do insurers stay relevant to their customers? This is the main question this webinar explores. 

Already we are seeing non-traditional players carving out niches in the industry, such as insurtechs, adjacent businesses and digital giants. For insurers to thrive in this “big squeeze,” they need to reframe their roles to generate better business outcomes using customer segmentation and improved risk profiling. More importantly, they need to generate better customer outcomes with more individual tailoring and personalized communications, improved transparency and holistic solutions that actually meet customer needs.

How can insurers do this? The short answer is “by becoming a Cognitive Insurer.” That means shifting from “react and pay” to “predict and prevent.” The foundation for this is data – owned, bought or shared –the smart use of that data and the associated technologies.

The Earth’s population will cross the eight billion mark for the first time in the coming years. Our complex food supply chain—already stressed by climate change and a finite water supply—will only be tested further. To meet the demands of this crowded future, IBM researchers are working to transform the food supply chain as we know it. They are exploring new technologies and devices, scientific breakthroughs, and entirely new ways of thinking about food safety and security. For example, IBM Researchers are helping farmers maximize crop yields and developing ways to curb the epidemic of waste that destroys 45 percent of our food supply. Our scientists are working to create a safety net to catch pathogens and contaminants before they make people sick. And they’re inventing ways to keep plastic out of our landfills and oceans.

In the webinar, you will hear about the 2019 edition of the Next 5 in5 – five predictions made by IBM Research about innovations that will change our lives within the next five years.

In the first webinar “A Journey with John”, we follow an avatar named John & put ourselves in the shoes of a patient who discovers how digital solutions can support an end-to-end health journey from detection to cure & prevention.

In that follow-up webinar, we now focus on the important elements that enable to deliver that journey: technologies, change management and missing components to close existing gaps.

This scenario is supported by architectural diagrams and real-life examples.

Discover through entertaining examples how electronic shelf labels (ESL) can improve customer satisfaction and revenues in the retail industry.

This webinar includes a live demonstration of Bison’s weather infused ESL to drive more impulse purchases of wine and garden supplies.

Bison Schweiz AG is an IBM Business Partner specializing in retail solutions. Their ESL Manager solution makes shelf labels weather-aware, enabling retailers to create dynamic promotions that enrich the in-store experience and help customers choose the right products at the right time.

By 2050 the world's population will be close to 10 billion. Those people must be fed from the same space of arable land we have today, using more sustainable growing methods to meet the climate challenges. This will require smart irrigation and energy management, selective crop protection and soil fertilization methods, higher transparency to verify the use of sustainable practices; all driven by consumer requirements and government regulations. The 5 trillion USD Agriculture industry is in the beginning of an extremely challenging transformation process, primarily driven by digitization.

There is no single company with solutions to all these challenges. IBM will play an essential role in this transformation through the industry's best global hyper local weather data solutions, a new geo-spatial and -temporal analytics engine and our Watson Decision Platform for Agriculture, applying cognitive and machine learning technologies on top of our weather data and analytics services. IBM will be a key enabler of key technologies needed to address several of the key recurring use cases to meet the challenges for the next thirty years in this industry.

It’s been 10 years since the 2008 global financial crisis, and the world’s largest economies are at a tipping point. With global uncertainty threatening economic growth, how can the world’s largest economies stay competitive? In this webinar we discuss the three areas where nations must focus to foster economic vitality.

e-Health is a more than digital transformation, it is a real digital disruption. Due to medical deserts and lack of professionals & specialists, the Healthcare industry had to totally rethink its business model moving from a full “face to face/paper” model to a new way of managing patients by using digital solutions.

The aim of this webinar is to present where digital is now introduced, and what are associated benefits. We also dive into the e-Health evolution from a system of care to a system of prevention.

Following our avatar John, you can put yourselves in the shoes of a patient and discover how digital solutions can support an end-to-end health journey from detection to cure & prevention, including real life examples.

In Africa and parts of Asia, agriculture tech startup Hello Tractor and scientists from IBM Research in Kenya are piloting an advanced agricultural analytics and decision-making tool that cuts across the mechanization ecosystem. Utilizing artificial intelligence, the IBM blockchain and IBM Cloud, farmers on the Hello Tractor platform gain access to timely and relevant information to increase their yields, tractor fleet owners receive insights to save time and earn more, and banks are empowered with information for better underwriting and portfolio management. The idea is to create a digital wallet that enables data to be captured, tracked, and shared instantly across parties involved in the agribusiness value chain including financial institutions to help farmers gain access to credit.

In the webinar, you hear about the innovative partnership from CEO and founder of Hello Tractor, Jehiel Oliver, IBM scientists Solomon Assefa, Juliet Mutahi and Andrew Kinai, who presented the work at TechCrunch Battlefield in Lagos on 11 December 2018.

Newest digital technologies keep changing how people, businesses and governments interact. Companies need to bring together transformational technologies, that can drive optimized outcomes by adapting and learning from user selections and responses.

For some time now, IBM has invested in the development of an asset for the healthcare and life sciences industry based on IBM Watson. International experts in medical linguistic, machine learning and data modelling got together to design a solution, that can summarize medical records of patients on one structured dashboard.  By doing so, physicians can focus more on treatment options by quickly identifying relevant key information.

In this webinar, Judit Langer -Healthcare Consultant at IBM Austria- introduces this asset and explains how companies can benefit from linguistic analysis technologies based on different use cases. She gives exclusive insights on how you can identify possible transformation projects for your industry in the field of natural language processing with the help of the IBM Client Center in Vienna.

Join this webinar and find out why organizations participate in Global C-suite Study interviews, its latest insights and upcoming conversation topics.

Are you interested in the remarkable progress of cognitive computing? Do you want to get a glimpse of what the future may look like? Then, do not miss that webinar.
Cognitive Computing is the new frontier of the information age. Computers have evolved into indispensable tools of our modern societies. They have revolutionized many aspects of our everyday lives.
Cognitive systems mimic the way we humans reason, allowing us to express in unstructured ways, such as speech and vision. They can debate with us, test our ideas against incredible volumes of data. They give us insights that ultimately free us, enabling us to focus on our deepest of human capabilities: intuition and intelligence.
Pharmaceuticals and materials discovery, attacking cancer, understanding complex natural ecosystems, economy and technology: all this is now possible in a small fraction of the previously required time.

As Artificial Intelligence (AI) technologies advance, and humans and AI systems increasingly work together, it is essential that we trust these systems and the outputs they generate. IBM is leading the way in developing trusted AI systems for business. Alongside policy considerations and business efforts, our researchers have a central role to play: They are creating AI innovations that address transparency, detect and remove bias - and ensure security and reliability of the systems. In this webinar, you gain more insights into how IBM Research is building trust and transparency in AI.

AI : The end of Code !

We are moving from a programmatic world to a learning world. In this webinar, our subject matter experts explain how this is happening. They introduce IBM’s cognitive landscape covering 6 main domains and explain how, through AI, we are reshaping the customer experience, enhancing the knowledge of workers and building a new era of smart processes.

Have you already heard about the IBM Machine Learning solution on Mainframe? If not, then this webinar is your chance to understand what it is all about. It introduces the key trends in Analytics and Data Management where machine learning represents one of the key elements. It explains Machine Learning concepts, the typical challenges encountered by Data Scientists and how many of those challenges can be addressed using the IBM machine Learning for z/OS. We also highlight the offering capabilities designed to make data scientists’ life easier and take you into relevant Machine Learning use cases on IBM Z.