University Guest Lectures

Extreme Automation - RPA and AI

The extension of RPA with embedded AI capabilities epitomizes this statement. AI utilizes information gathered from various sources and feeds that information to tools and products to increase the value of their interactions. RPA provides value in automating processes based …

Enable & Empower Universities/Educational Institutes with IBM's Academic Iniaitive Program

Provide overview of IBM's Academic Initiative program and enable university with step by step enablement & activation with SSO/University SSO integration process. Please look at California State University example
e.g. https://www.csun.edu/it/ibm-cloud-services-csun

IBM Cloud Capability Overview

IBM Cloud Capability Overview includes IBM Cloud Portal DEMO/Catalog review and deep dive walk with IaaS, PaaS, Watson AI, Blockchain, PowerVS, SAP, DB, IoT, MFA etc..

Data Transformation - building blocks

In this lecture we will discuss about the trends around data exponatial growth and the stakes to create the foundations to generate value from data.
We will talk about the different types of data and their usage and discuss the challenges …

AI @ Scale - How to manage AI deployment and industrialization

AI innovation transformation and operational excellence request to set up an operating model to increase industrialization.
In this lecture we will talk about global trends on AI deployment, adoption challenges, platform transformation and operating model.

Ethique de l'informatique: les fondements juridiques médévaux de l'informatique

A partir du Moyen-Age, les juristes ont voulu "suivre la méthode des mathématiciens." Il s'agissait de rendre les règles de droit plus objectives, et de les améliorer formellement pour renforcer leur déductibilité. Ce projet mène lointainement à l'informatique. Dans les …

Data and AI in Use

This session will explore real data and AI use cases. Through real customer situations and example we will cover the impact on business, whether operational excellence or growing business and customer satisfaction. We will also uncover learnings such as key …

Blockchain usages & benefits for the Industrial Sector

In this session we will explore customer pain points and how blockchain can help solves them. We will look at real case around vehicle quality and certification in the automotive industry : why is it a problem, how big of …

Cross Roads of Machine Learning and Data Science

Perhaps a better way to think of AI is that of prediction machines. To gain insights from what it is that you don't know that you don't know. Watson Studio and AutoAI is designed to take the coding off your …

Blockchain Today and Tomorrow

Leading-edge leaders have built blockchain networks to reinvent their businesses, but the potential of this technology goes far beyond what we see today in production.
In this session, Carlos Rischioto, IBM's Blockchain technical leader in Brazil, will present the concept of …

How Artificial Intelligence (AI) May Improve Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future.

Learning …

Artificial Intelligence (AI) and it's Role in Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future. …

The Role of Artificial Intelligence (AI) in Improving Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future. …

Clinical 3D Printing in Healthcare - A Clinician's Perspective

Abstract:

The rise of advanced 3D cross-sectional imaging such as CT scans has allowed unprecedented volumetric imaging of the internal structures of the body. At the same time the rise of extremely high-performance additive manufacturing technologies, of which 3D printers are …

Natural Language Processing in Healthcare - A Clinician's Perspective

Abstract:

Healthcare data is heavily stored in narrative form of unstructured text. Unlike non-medical text, the language used in healthcare is often extremely complex, filled with complex negation, hypotheticals, and jargon, but at the same time using this data requires high-precision …

The Role of Artificial Intelligence (AI) in Medical Imaging

With more images to manage, sites to connect, and people sharing data, enterprise imaging is critical to patient care. Learn about the role of AI and its application in Medical Imaging. This session will focus on the role of AI …

IBM Global University Programs with a Focus on Healthcare

Healthcare is transforming and emerging technology is playing a significant role. Learn about the resources that IBM Global University Programs offers to medical, nursing, pharmacy, and public healthcare schools and really any student who is interested in healthcare.

Learning objectives:
After …

A Day in the life at a Tech Compay and why do softs skills matter

Zaki is an inspiring manager at the biggest Systems/TSS Client Innovation Center in IBM and currently part of the University Relations program in Bulgaria. As having more than 10 years in the IT industry, being an engineer, people manager and …

IT Service Management - future trends

What are the future trends of ITSM from three perspectives - the process, collaborative and integration perspective?
Is there a place for latest ITIL version or is it definitely outdated?
How the cloud technologies adoption changes the ITSM?
The Cognitive …

AI for Breast Cancer Screening

Breast cancer is the second leading cause of cancer-related deaths, and the most commonly diagnosed cancer among women across the world. As treatment options improve, early detection has an increasing impact on mortality, as earlier diagnosis can offer more options …

Quantum computing and Artificial Intelligence

Tendencies in this so interesting crossroads between Quantum Computing and Artificial Inteligence

Design Thinking

In the world we live in today, we are faced with a myriad of complex problems that are best solved with a blended approach of traditional and non-traditional problem solving methods.

Design Thinking offers that sought after blended approach to innovative …

A tale of adversarial attacks & out-of-distribution detection stories

Most deep learning models assume ideal conditions and rely on the assumption that test/production data comes from the in-distribution samples from the training data. However, this assumption is not satisfied in most real-world applications. Test data could differ from the …

Fairness, Explainability & Robustness in Machine Learning

Recent years have seen an overwhelming body of work on fairness and bias in Machine Learning (ML) models. This is not unexpected, as fairness is a complex and multi-faceted concept that depends on context and culture. Particularly in machine learning, …

Towards clinical relevance: Predictive modeling applied to brain imaging

The application of machine learning methods to the increasingly larger observational studies of neurological and psychiatric disorders provides the opportunity of generating individualized assessments for people with a given condition, while also enabling the detection of brain correlates of disease. …

IBM Ponder This And Other Challenges

Challenges provide fun and happiness.

They provide a way to feel busy and a way to feel part of a Community when you know other people all over the world or next door are trying to find the same key …

Optimization : Doing more with less

AI and data science are all around but in many use cases they’re not enough since they provide insight and forecast but not the "what should we do next?".

That is the purpose of decision optimization aka prescriptive analytics or …

The path to inherently safer technology: tackling domestic abuse

Imagine being terrified of technology. Knowing that if you leave the home, connect with friends or dare to break even the smallest rule, the all-seeing devices will know - and so will your abuser. As society evolves and technology becomes …

Analyse & renseignement : initiation et présentation

Passé d’une société de l’objet à une société de l’action, le monde se pense aujourd’hui en réseaux, et l’analyse en liens. Cette nouvelle situation conduit à revoir la chaîne du traitement de l’information.
Cette lecture est une réponse à toutes les …

Supplier Diversity Insights

Provided insights into IBM's Supplier Diversity program, definition of a diverse business, challenges and success stories

to students at University of Fribourg, Switzerland - American College Program

Holistic automation approach with Digital Business Automation @ IBM

Lecture on the holistic automation approach @ IBM with the Digital Business Automation / Cloud Pak for Automation platform.

Cybersecurity Operations Law & Policy

This lecture introduces law students to legal aspects of US government cyberspace operations by examining international law and norms and US law and policy. Full spectrum cyberspace operations are conducted by multiple disciplines, each with their own and sometime overlapping …

Cybersecurity Law & Policy

This lecture introduces law students to legal aspects of US government cyberspace operations by examining international law and norms and US law and policy. Full spectrum cyberspace operations are conducted by multiple disciplines, each with their own and sometime overlapping …

Digital Transformation: 9 years of business astuteness

Organizations with digital mastery are the nirvana for all those involved in Digital Transformation, due to superior business execution and results. This type of astuteness deals with aligning organization's capabilities to an improved business value proposition, leveraged by the use …

Using Python to tackle Data Science challenges

This lecture makes the link between the profession of the Data Scientist, with the practical application using Python and its visualization libraries. So, not only the data collection and manipulation aspects are discussed, but also the analysis and visualization tasks …

Numérique responsable, Design durable et éco-conception web

En 2019, le numérique a émis deux fois plus de gaz à effet de serre que l’ensemble du trafic aérien mondial.

Et pourtant, son impact environnemental est bien souvent sous-estimé car peu visible face aux multiples avantages et bénéfices dont on …

El potencial de Pandas

Es un paneo general de la libreria pandas con distintas funciones y propiedades que nos ayudaran a realizar la fase de preprocesamiento de nuestros datos. Vemos conceptos como las estructuras de datos principales, su construccion, sus propiedades, funciones para muestreo, …

Optimizacion y Comparacion de Modelos de Clasificacion en Python

Es un template basico de como es que encaramos la ultima fase del modelado de datos optimizando lo mas posible los modelos elegidos para obtener mejores resultados y realizar una comparacion final. Lo que mas valor aporta de este lab …

How big data & artificial intelligence solutions deeply transform enterprises business to enhancing client experience & operation efficiency

The digital transformation of any business should lead to developing an enhanced client experience, an improved operation effectiveness while transforming the company internally to be more agile and quickly adapt to new customer demand. One of The key challenges to …

The Why, What and How of Digital Reinvention. And the 30+ shots we have made in the Journey of promoting, selling and delivering it in Nordics

Presentation originally delivered to Nordic Technical Council (TEC) 2017. Main sections including:

Why: Strategic context
Selected materials from IBM Global C-suite study 2015
Example from the Swedish retail ecosystem

What: IBM Digital Reinvention™ Framework
Seven drivers
Blended iterative strategy & technology process – …

Resource-based strategy and Component Business Modelling

09:15 Introduction
09:25 Component Business Modelling: an introduction
09:40 Component Business Modelling: an application (case)

Resource-based strategy theory: Theory - Research - Consulting

- Point of departure and key concepts
- Process perspectives and dynamic approaches
- Ideas on empirical RBV-inspired studies
- Examples from one empirical study: E-business capability

The Strategy Club 12: Problems with Strategy

14:00 Introduction & Context
14:15 Problem with Strategy: Gross list
14:30 Design Thinking: Empathy map (emphasizing with strategy consultants)
15:15 Summary & Conclusions
15:30 End

The Strategy Club 11: Mission->Vision->Goals->Strategy->TOM->Execution->KPIs

15:00 Introduction
15:15 Mission, Vision, Goals
15:45 Strategy & Target Operating Model (TOM)
16:00 Execution & KPIs
16:15 The Big Picture: How it all fits together
< 16:30 End

The Strategy Club 10: Strategic Management and Economic Analysis

13:00 Introduction
13:15 Strategic Management and Economic Analysis
13:30 The toolbox: Ways of working, methods and approaches
13:45 Cases from our practice
14:15 Discussion
14:30 End

The Strategy Club 9: Digital Strategy

13:00 Introduction: What is "Digital" and what is Strategy?
13:15 Digital strategy from a business model perspective
14:00 Typical digital opportunities and challenges

The Strategy Club 8: How IBM does strategy

15:00 Introduction and context
15:10 How IBM does strategy
15:50: Q&A
16:00 Club discussion and conclusions

- This session on special request only and run together with Ian Watson, GBS Global Strategy

The Strategy Club 7: Level-two Strategies

16:30 Introduction and Context
16:45 Level-two strategies, what are they?
17:05 Examples and discussion
17:45 Conclusions
< 18:00 End

The Strategy Club 6: Strategy Processes - How to run them

16:30 Introduction and Context
16:45 Who run strategy processes and why?
17:05 How to run strategy processes
17:45 How to get traction
< 18:00 End

The Strategy Club 5: Business Models and Value Creation

16:30 Introduction and Context
16:40 What is a Business Model?
17:00 Fundamental modes of Value Creation
17:50 So what?
< 18:00 End

The Strategy Club 4: Customer Offering and Value Proposition

16:30 Introduction & Context
16:40 Customer Offering and Value Proposition
17:20 Tools to develop, clarify and redefine Customer Offerings and Value Propositions
17:50 So what?
18:00 End

The Strategy Club 3: Resource-based Strategy

16:45 Introduction to resource-based strategy

17:25 So what – application through CBM

< 18:00 End

The Strategy Club 2: Industry Analysis

16:30 Intro
16:50 Premises of the Industry Point of View
17:05 Industry Analysis framework: Five Forces
- Video
- Overview of the five fores
17:30 Case discussion
- Group analysis of industry forces
- The Strategy Club's synthesis regarding industry analysis
< 18:00 End

The Strategy Club 1: What is Strategy?

16:30 Introduction and platform sketch

16:45 What is Strategy?

17:15 Case: IBM's transformation
- 5 min introduction to the case
- 20 min discussion and comments
- 5 min what happened?

17:45 Summary and ideas

What is it like to hold a PhD and work in Industry?

Agenda:
- What we have in common
- Career
- Making use of a PhD in industry Over- and ’underlaps’: Exploitation vs Exploration
- Poem

Join Consulting - See the World

--- Lecture given multiple times to students at Master's level in Strategic Management and Information Systems ---

13:15 Intro
13:25 Digital Reinvention and e commerce Business Models - The Pierce case: How to become an Experience Leader
13:45 The Glamour of Management …