IBM Client Center
Think Lab

Businesses aiming to digitally transform their processes face the challenge of bridging the gap between their analog and digital data. The Vienna-based tech company Anyline works to solve this problem by developing optical character recognition (OCR) solutions. 

Using a smartphone, tablet or embedded camera, Anyline clients can scan and digitize vital information such as IDs, utility meters and even vehicle tire numbers with high accuracy. Now, the company aims to improve its own process for creating new scanning solutions, with the help of IBM Cloud.

In this webinar with Anyline Head of Delivery, Hannes Duchkowitsch, finds out:

• How Anyline is developing a ‘Trainer’ platform to automate their process for creating customised OCR solutions
• How Anyline is using Red Hat OpenShift Services on IBM Cloud to achieve this, and:
• How the company plans to incorporate ‘dynamic machine learning’ into the Trainer to enable live accuracy improvements supported by IBM Watson Technology

Are you faced with constantly changing markets and customer needs? Do you need to transform and innovate and are you looking for options? See how participants with different backgrounds learned to deploy IBM’s Enterprise Design Thinking framework in seven half-day sessions. Two virtual teams worked on a complex human-centered customer challenge presented by our partner NGO Aiducation. Listen to testimonials of the fun and satisfaction of learning in a team and working on a real case while doing good and creating a client experience “that rocks”.
Experience how tools and technology enable collaboration across organisational and geographic boundaries. Become a passionate storyteller and broaden your business network. Participate without neglecting your daily work or generating travel cost. How? Join a virtual Enterprise Design Thinking education of the IBM Client Center.

We are entering a new phase on cloud adoption, with mission critical workloads being moved to the cloud. This move requires cloud evolution to continue and to run not only cloud native application, but a variety of workloads like HPC, AI, and more legacy applications. Security and compliance of the cloud platform are a key enabler to moving these mission critical applications to the cloud. Our new hybrid cloud world is going run on public cloud, private platforms, edge, and more. To realize the hybrid cloud transformation, we need one platform that can run everywhere, is able to run all type of workloads, offers easier and more heterogeneous developer experience, and has one easy manner of operations across different deployments. This talk will explain how Kubernetes and RedHat OpenShift are evolving to make this hybrid cloud platform a reality. You’ll learn about various aspects of this platform, its current functionality, and the future evolution. We will give examples of how IBM Research has extended Kubernetes to run VMs on the hybrid cloud, how we are running high performance computing workloads on the cloud, and the things that are just around the corner for the hybrid cloud platform.

Data is growing at an ever increasing pace.  And a lot of this data is being produced outside of the corporate data centers and is thus naturally stored in the cloud.  However, there are several challenges in how to get value from this data: touching only the right data, dealing with rich data types, securing the data and governing access in a hybrid, multi-cloud environment.  IBM Research has been developing innovative technologies to address these challenges.  In this talk, we describe the challenges and how we are answering them, presenting IBM Research innovations along a range of time lines.

The model of a single cloud doesn’t work anymore and IBM Research is helping pave the way for hybrid cloud transformation. By using AI and cloud innovation, researchers in Haifa are helping to accelerate cloud growth, transform the future of computing, and position IBM as the leading cloud company. This talk introduces two practical examples of how IBM is solving enterprise concerns regarding the move to the cloud. The first talks about the use of AI to build and operationalize a reliable cloud computing. The second example new ways based on AI to modernize legacy applications and move them to the cloud.

Red Hat's Enterprise Kubernetes platform comes to IBM Z and LinuxONE. The first part of the webinar introduces you to IBM's Hybrid Multi-Cloud Strategy. Followed by new concepts in OpenShift 4. In the second part of the session, you get technical information for deploying Red Hat OpenShift Container Platform in your IBM Z & LinuxONE environments.

IBM Quantum is an industry first initiative to build universal quantum computers for business, engineering and science. This effort includes advancing the entire quantum computing technology stack and exploring applications to make quantum broadly usable and accessible.
In this session you  learn how to use the IBM Quantum Experience, a platform where you can run experiments on a real IBM Quantum Computer. You also build a quantum program using Qiskit an open-source quantum computing software development framework.

IBM researchers in Haifa, Israel are using augmented reality (AR) in the form of visual operation guidance to help people remotely access knowledge and expertise through 3D navigation, object recognition, and deep learning. Visual Operation Guidance can provide easy-to-use, step-by-step procedures, that guide even an inexperienced technician at the physical scene. 
The Visual Operation Guidance is an augmented reality platform to improve the efficiency of technical staff and preserve their knowledge, making it reusable over time. It includes three types of components: peer-guidance that lets a technician get help from a remote expert, self-guidance for independent work, and a ‘studio’ that can be used to create AR experiences for self-guidance. It’s all about making the data and knowledge visually easy to access and easy to follow. Self-guidance is done by using object recognition to add a layer of annotations on top of the images on the technicians’ mobile device. For peer guidance, these annotations are sent to the technician’s device from a remote expert. 

This exciting voice assistant technology allows technicians to conduct voice-enabled inspections modeled in Maximo’s Inspections Work Center. Technicians don't need to look at the screen or use their hands to interact with the system. Their eyes and hands are free to perform the task at hand. For the organization, no programmers or conversation designers are required to voice enable an inspection/process. All you need to do is follow simple guidelines to model your inspection forms in a voice-friendly way. Then you export the inspection form, using the existing Maximo interface, and send us the form. We feed the form to the dialog creator. Our technology does the rest. It customizes the speech-to-text engine so it understands the technical terms in your form and creates a Watson Assistant Skill that enables the technician to fill out the form using voice. The conversational interface allows the technician to use natural language. The technician can report, query or change values, and get guidance while filling the form - all without taking their eyes off the asset and the environment, and without taking off their gloves, or putting down tools. 

Technology and demographic changes are driving a transformation in the role of the technician. Equipment is becoming more complex and more connected, a retiring workforce leads to loss of tribal knowledge, and a new digital-native workforce expects consumer-grade capabilities. Our technicians will demand and require next-generation technology and skills.
At IBM Research we develop AI-powered tools that help maintenance technicians and reliability engineers be more productive, engaged, and safe. Our work leverages new and state-of-the-art technologies including: augmented reality (AR), Internet of Things (IoT), conversational interfaces, machine learning, and drones to build a new class of assistants for technicians.

IBM Db2 Analytics Accelerator is a very well-established Analytics solution which has been adopted by Mainframe clients to support business-critical reporting and analytic workloads. Since 2017, clients can also deploy the Accelerator as a Secure Service Container Image on IBM Z. This opens up interesting new possibilities. With the version 7.5, IBM has introduced new capabilities, for instance the Integrated Synchronization which is designed to enhance real time capabilities for mission critical Analytics workloads and to deliver true Hybrid Transaction and Analytics Processing (HTAP) support in a more optimized way. Join us for this session to learn from our Data and AI experts about Integrated Synchronization and further important Db2 Analytics Accelerator enhancements available now with V7.5.

Retail has become truly digital. Customers demand frictionless always-on experiences across all devices and all channels. Trends such as Touchless Retail and Buy-Online Pick-up Curbside or in-store are only accelerating in the current environment. At the same time, technologies such as Edge Computing, Machine Learning, and Augmented Reality are driving innovation and disruption.

IBM, Intel, and Hazelcast are working together to deliver integrated solutions to meet these challenges. In this webinar, they will discuss the Modern Digital Platform that meets these needs, leveraging In-Memory Computing, Cognitive and Edge Computing, and Innovative hardware advances such as Intel Optane Persistent Memory to deliver a platform that is easy to operate and always-on. Topics will include top use-cases such as Touchless Retail, Smart Kiosk/Vending, and Personalized Experiences and architectures to support them.

The map of business data has been revolutionised by cloud, edge, and AI. The current pace of change requires managing more data with greater mobility and easy access, without compromising data protection and cyber resiliency. IBM data storage provides simple storage solutions that address these modern data requirements and provide the key to your hybrid multicloud strategy. Bringing together software-defined storage flexibility, innovative all-flash solutions, and the most flexible deployment and purchasing options, IBM Storage makes capital, operations, and teams more efficient and agile. Join IBM Israel storage team as we review recent milestones and lay out the IBM Storage Made Simple and Modern Data Protection offerings.

With the introduction of Hyper Protect Services as part of IBM's public and private cloud offerings, we are putting data protection at the center of our focus. This family of services, containers and IaaS runtimes supports the construction of cloud solutions on cloud native technologies and patterns to inherit many of the protection capabilities of the hyper protection profile. We are enabling developers to build secure cloud applications seamlessly using a portfolio of cloud services powered by IBM LinuxONE. It is now easier than ever to fortify data protection with increased customer control of access (including from privileged users) and encryption of data at rest and in flight and extend this protection to data in use.

Cyberthreat is a recurrent risk, which is accelerated with the Covid-19 situation: “There’s no containment for cyberthreats...” 

Why are doctors, nurses, researchers, administrative and IT teams not sufficiently prepared and equipped to cope with cyber-threats? 

Through a demonstration of phishing we will see what happens after “the fatal click” and how IBM solutions improve cyber resiliency: 

• IBM X-Force labs 
• IBM Security Threat management solutions 
• IBM Security Services

This session will help you understand the risk, how to prepare and train users and IT site administrators, in order to: 

• protect data, 
• detect and prevent threats,
• manage small and complex crisis.

Faster, smarter, more connected, always-on, boundary-less – this is the experience now expected from financial institutions. Users are demanding today what was considered exceptional yesterday – touchless banking, instant payments, mobile control of all aspects of their finances. Speed and performance have become more critical while reducing costs and increasing agility remains critical.

This webinar provides a technology overview and demonstration of IBM PAIRS Geoscope – a powerful data curation and analytics platform for geospatial-temporal data.  This data, which is enabled by satellites, the Internet of Things, and drones, is growing exponentially. To enable a quantum leap in the exploitation of this massive data, IBM Research developed the IBM PAIRS Geoscope platform. What used to take months to obtain insights from such data, can now be achieved within minutes. The technology has already been successfully piloted with key clients: helping an agribusiness to make better trading decisions, a distribution and transmission electric operator to protect their assets, and an aerospace company to derive insights using satellite information. In the webinar, IBM Researchers are discussing use cases across several industries. What does the exploitation of such data with PAIRS mean to your business?

In this IBM Research webinar, Teodoro Laino provides an exclusive insight into IBM RoboRXN – a first-of-a-kind cloud-based AI-driven autonomous chemical lab. This cutting-edge IBM Research technology combines AI and robotics in a cloud service that can support chemists in predicting and synthesizing new molecules and compounds in a safe, automated environment. The core of this technology is a series of neural network architectures that IBM researchers trained on millions of published chemical reactions drawn from patents. The AI model suggests a route for synthesizing a specific molecule as well as the sequence of operations needed by to perform the reactions. RoboRXN is an example of AI automation that opens up new possibilities to scale and accelerate materials discovery. It has applications across many industries, e.g. to develop pharmaceuticals, fragrances, dyes, and more.

In this webinar, we will discuss what the future brings for AI, what the researcher and developers are working on and how technology companies, enterprises who use AI and politics must collaborate to ensure trustworthiness of AI solutions. We will also talk about the different trustworthiness aspects, e.g. explainability, fairness and more. Finally, we'll show how you can experience "Trustworthy AI" in a virtual, but also face-to-face setting in the IBM Watson Center Munich.