Innovation is one of the key enablers for European enterprises to compete in global markets. The term ‘innovation’ is constantly used in speeches of managers, politicians, public administrators. However, in the large majority of cases, the term is used as a generic 'place holder', a sort of container whose actual content is left to the intuition. For this reason it is important to deeply elaborate, specifically on the notion of Enterprise Innovation, to better understand the essence and meaning of innovation.
Innovation stems from a virtuous mix of intuition, creativity, and a solid background knowledge. Each innovation endeavour has its own characteristics, largely different from previous experiences. It falls in the category of ‘wicked problems’, i.e., problems difficult to solve because of incomplete, fuzzy, changing requirements. Nevertheless, there are recurring patterns and it is possible to conceive systematic methods, and supporting information systems, to promote and manage innovation avoiding the risk to close it in a ‘cage’, risking depressing the fundamental creativity and fantasy. This talk will present an innovative framework for enterprise innovation that includes a methodology and an innovation management platform which is based on an generic behavioural pattern (i.e., independent of the industrial sector), a strong knowledge orientation, and an innovation monitoring system funded on a number of Key Performance Indicators, to constantly keep the progress of the innovation project under control.
While open innovation is a defined concept, its methodology differs based on what companies are using it. Two cases - Inwido and Tetra Pak - take an open innovation approach to solving their internal challenges. Having chosen different approach to implement open innovation practices, both projects arrive to successful outcomes. Success factors for open innovation include involvement of top management, setting clear strategy for openness and participation and creation of open ecosystem. his presentation was held at the "Hands On - Open Innovation" one day workshop arranged by Ideon Open in Lund, Sweden.
More information about the event is at http://www.ideonopen.com/events
Innovate UK is to offer up to £10 million in loans to SMEs for innovative late stage projects. The aim of this competition is to provide loans to help SMEs to undertake game-changing innovations with strong commercial potential across any sector or industry. Innovation loans will offer affordable, patient, flexible, repayable funding for later-stage research & development projects with a clear route to commercial success.
More information can be found here: https://ktn-uk.co.uk/news/innovation-loans-open-competition-briefing-dates-announced
Or watch the webcast here: https://youtu.be/vAOV4tFHFmE
The deadline for registration for this Open Innovation Loans competition is 29th August and the application deadline is noon on 5th September 2018.
Mastering the Dynamics of Innovation by Bernt Kristian Jensen and Tore Hundsn...Mobilskole AS
Presentation during the Gründerskolen Alumni event on September 12 2009. See grunderskolenalumni.wordpress.com.
Mastering the Dynamics of Innovation by Bernt Kristian Jensen and Tore Hundsnes, CapGemini Norway
While open innovation is a defined concept, its methodology differs based on what companies are using it. Two cases - Inwido and Tetra Pak - take an open innovation approach to solving their internal challenges. Having chosen different approach to implement open innovation practices, both projects arrive to successful outcomes. Success factors for open innovation include involvement of top management, setting clear strategy for openness and participation and creation of open ecosystem. his presentation was held at the "Hands On - Open Innovation" one day workshop arranged by Ideon Open in Lund, Sweden.
More information about the event is at http://www.ideonopen.com/events
Innovate UK is to offer up to £10 million in loans to SMEs for innovative late stage projects. The aim of this competition is to provide loans to help SMEs to undertake game-changing innovations with strong commercial potential across any sector or industry. Innovation loans will offer affordable, patient, flexible, repayable funding for later-stage research & development projects with a clear route to commercial success.
More information can be found here: https://ktn-uk.co.uk/news/innovation-loans-open-competition-briefing-dates-announced
Or watch the webcast here: https://youtu.be/vAOV4tFHFmE
The deadline for registration for this Open Innovation Loans competition is 29th August and the application deadline is noon on 5th September 2018.
Mastering the Dynamics of Innovation by Bernt Kristian Jensen and Tore Hundsn...Mobilskole AS
Presentation during the Gründerskolen Alumni event on September 12 2009. See grunderskolenalumni.wordpress.com.
Mastering the Dynamics of Innovation by Bernt Kristian Jensen and Tore Hundsnes, CapGemini Norway
iicie.com is a global centre of innovations and entrepreneurs offering training,
certifications and membership in the fields of Technology, Biotech, Green Energy,
Gaming and New Media.
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
Invention to Innovation - Journey of a High Tech Product SavitaKini
Presented at Institute of Product Leadership Webinar - Oct 8, 2014. Discussed the various aspects involved in taking a new product into market. Audience - Wanna be Product Managers, Product Marketers.
Innovation journey study final report - october 2013 - summaryAlastair Ross
Summary of study into innovation approaches of technology based businesses in the UK and Denmark by Codexx, University of Exeter and the University of Aalborg.
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
Innovation should not be accidental, it can be managed! This short presentation walks us through different drivers, models, processes and engagement types around innovation.
Content of the presentation was tailored for Shared Service Centers.
The business model innovation process: a temporal perspectiveNiamh O Riordan
This presentation reports on a proposal to view business model innovation as a process that was recently presented at the Australasian Conference on Information Systems
2014.05.08 MC1 From Open Innovation to Innovation EcosystemsNUI Galway
Professor Wim Vanhaverbeke, University of Hasselt, Belgium, presented this InterTradeIreland Innovation master class entitled "From Open Innovation to Innovation Ecosystems" at the Whitaker Institute on 8th May 2014
Managing Director Dr. Giordano Koch shows how to run successfull innovation labs and how to integrate them into a longterm innovation strategy for businesses.
iicie.com is a global centre of innovations and entrepreneurs offering training,
certifications and membership in the fields of Technology, Biotech, Green Energy,
Gaming and New Media.
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
Invention to Innovation - Journey of a High Tech Product SavitaKini
Presented at Institute of Product Leadership Webinar - Oct 8, 2014. Discussed the various aspects involved in taking a new product into market. Audience - Wanna be Product Managers, Product Marketers.
Innovation journey study final report - october 2013 - summaryAlastair Ross
Summary of study into innovation approaches of technology based businesses in the UK and Denmark by Codexx, University of Exeter and the University of Aalborg.
Innovation is the glue between invention and investment, and transforms ideas into businesses. The process of innovation shapes your idea into something people will value and ultimately purchase.
The innovation process cycles through 4 key steps:
1) Ideas and Solutions
2) Business propositions
3) Business feasibility
4) Business planning
Innovation should not be accidental, it can be managed! This short presentation walks us through different drivers, models, processes and engagement types around innovation.
Content of the presentation was tailored for Shared Service Centers.
The business model innovation process: a temporal perspectiveNiamh O Riordan
This presentation reports on a proposal to view business model innovation as a process that was recently presented at the Australasian Conference on Information Systems
2014.05.08 MC1 From Open Innovation to Innovation EcosystemsNUI Galway
Professor Wim Vanhaverbeke, University of Hasselt, Belgium, presented this InterTradeIreland Innovation master class entitled "From Open Innovation to Innovation Ecosystems" at the Whitaker Institute on 8th May 2014
Managing Director Dr. Giordano Koch shows how to run successfull innovation labs and how to integrate them into a longterm innovation strategy for businesses.
2014.01.30 Innovation overview by Glenn WintrichNUI Galway
Glenn Wintrich, Innovation Leader at Dell, presented this seminar entitled Innovation Overview on 30th January 2014 at the Whitaker Institute, NUI Galway.
The traction that met Michu and Telebirr early on highlights the massive demand for uncollateralized digital credit in Ethiopia. New entrants such as Kacha Digital Financial services have also announced they’re eying the micro-credit market. The impending entrance of Safaricom’s M-PESA is undoubtedly going to have an impact, but the telecom operator must wait until the National Bank of Ethiopia (NBE) sets rules before it can enter the fray.
Among the most significant recent developments in the digital lending sphere is credit cards. Awash Bank has announced it will start issuing credit cards to its clients in both secured and unsecured loan forms. Clients will be able to access as much as a few hundred thousand Birr in credit from the bank, with limits depending on the loan type.
It is a significant milestone for the Ethiopian financial sector, and the development is likely to be followed up by even more big changes.
Central bank regulators are working on a digital lending framework that will likely see micro-credit providers gain a step up in the financial sector. As it stands, mobile money providers are the only non-traditional financial institutions allowed to engage in micro-credit service but are still required to partner with banks or MFIs to access loanable funds.
The central bank, however, has recently expressed intentions to allow fintechs to loan out funds sourced from entities other than banks or MFIs. Common practice in other countries indicates that these other sources are usually private equity firms, individuals or development institutions. This model is practiced in various countries across the globe.
For instance, In Kenya, Digital Credit Providers (DCPs) were not regulated by the central bank until recently and sourced funds from various sources without having to disclose them to the central bank.
Nonetheless, close to 300 DCPs have applied for licenses from the Kenyan central bank this year after regulators put out a call following a decision that compels lenders to disclose their source of funding. Ten of them have already been licensed. Development Financial Institutions, commercial banks, private equity firms and high-net-worth individuals are some of the popular sources of funding that Kenya-based DCPs use for lending.
The implementation of various models of lending come with their own advantages and disadvantages. Here are the possible opportunities and threat that the Ethiopian market will experience as a result of the upcoming changes:
Opportunities
Encourages the development of new lending models such as peer-to-peer (P2P lending). Countries with advanced digital lending models have progressed to be able to offer a slew of innovative lending products. Diversifying the source of funds would allow creditors to experiment with innovative use cases based on their own risk appetite as they’ll be able to retain the risk on their own.
Provides a more attractive business case for fintechs. With the current arrangement, fi
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
A recent direction in Business Process Management studied methodologies to control the execution of Business Processes under several sources of uncertainty in order to always get to the end by satisfying all constraints. Current approaches encode business processes into temporal constraint networks or timed game automata in order to exploit their related strategy synthesis algorithms. However, the proposed encodings can only synthesize single-strategies and fail to handle loops. To overcome these limits I will discuss a recent approach based on supervisory control. The approach considers structured business processes with resources, parallel and mutually exclusive branches, loops, and uncertainty. I will discuss an encoding into finite state automata and prove that their concurrent behavior models exactly all possible executions of the process. After that, I will introduce tentative commitment constraints as a new class of constraints restricting the executions of a process. Finally, I will discuss a tree decomposition of the process that plays a central role in modular supervisory control.
In his ignite talk „The Digital Transformation of Education: A Hyper-Disruptive Era through Blockchain and Generative AI,“ Dr. Alexander Pfeiffer delves into the intricate challenges and potential benefits associated with integrating blockchain technologies and generative AI into the educational landscape. He scrutinizes consensus algorithms and explores sustainable methods of operating blockchain systems, while also examining how smart contracts and transactions can be tailored to meet the specific needs of the educational sector. Alexander underscores the importance of establishing secure digital identities and ensuring robust data protection, while simultaneously casting a critical eye on potential risks and vulnerabilities. The topic of digital identities, facilitated through tokenization, forms a bridge between storing data using blockchain-based databases and the increasingly urgent need for content verification of AI-generated material.
Alexander explores the profound alterations occurring in teaching methodologies, assignment creation, and evaluation processes, shedding light on the hyper-disruptive impact these changes are having on both research and practical applications in education. The production of textual content by educators and students is analyzed with a focus on ensuring clear traceability of content sources and editors, and its proper citation, a critical aspect in the responsible use of AI. In addition to generative text and graphics, AI plays a crucial role in future learning and assignment practices, particularly through adaptive game-based learning and assessment. Alexander will provide a brief glimpse into his game „Gallery-Defender,“ a prototype demonstrating how AI and blockchain can be effectively implemented in serious gaming scenarios.
Furthermore, he emphasizes the imperative for ongoing education and professional development for educational personnel, advocating for a proactive stance in addressing the (legal) challenges associated with AI-generated images and text. This ignite talk aims to provide a balanced and critically reflective perspective on hyper-disruptive technologies, setting the stage for further discourse and exploration in the subsequent discussion.
The simulation of melee combat is central to many contemporary and traditional strategic games and simulations. In order to elevate this element of play from mere exercises of stats-comparison and dice rolling to a meaningful experience of play, strategy games rely on a rich plethora of cultural motives as deciding factors of their mechanic design. On the example of Samurai-themed skirmishing games, my talk elaborates on the impact that (popular) culture and other inspirations have on gaming experiences. It provides concrete examples from Japanese history, its traditional cinema, and postmodern Western reflections of Japanese cultural practices. Based on these insights, it compares four tabletop strategy games, muses on which phenomena they have adapted in their mechanics, and asks why or why not they may succeed in capturing a cultural essence via their rules.
Ultimately, this comparative approach shall serve to decipher the interplay of dice mechanics and aesthetic properties as the longing for a dramatic ideal in tabletop gaming and encourage participants to reflect on the idea in a subsequent, shared gaming experience.
How does a development team expand on an already existing game?
We will look at the two community driven and committee led expansions to the abandoned Tabletop game 'GuildBall' and explore the stages of development that the game went through. The art and lore driven approach employed will show us how rough sketches and concept ideas become a fully fledged ruleset and ultimately miniatures that can be put on the table. We will also explore pitfalls in rules design like over complicating abilities, the lack of streamlining across the game or simply creating expansions who break the game instead of the mold.
Exploring the development and production pipelines for miniatures in the tabletop wargaming industry. Including a look at the career route taken by the speaker, a case study on developing anatomical archetypes for consistent design outcomes, and a brief look at the various production methods available to the industry.
In recent years, we have experienced an exponential growth in the amount of data generated by IoT devices. Data have to be processed strict low latency constraints, that cannot be addressed by conventional computing paradigm and architectures. On top of this, if we consider that we recently hit the limit codified by the Moore’s law, satisfying low-latency requirements of modern applications will become even more challenging in the future. In this talk, we discuss challenges and possibilities of heterogeneous distributed systems in the Post-Moore era.
In the modern world, we are permanently using, leveraging, interacting with, and relying upon systems of ever higher sophistication, ranging from our cars, recommender systems in eCommerce, and networks when we go online, to integrated circuits when using our PCs and smartphones, security-critical software when accessing our bank accounts, and spreadsheets for financial planning and decision making. The complexity of these systems coupled with our high dependency on them implies both a non-negligible likelihood of system failures, and a high potential that such failures have significant negative effects on our everyday life. For that reason, it is a vital requirement to keep the harm of emerging failures to a minimum, which means minimizing the system downtime as well as the cost of system repair. This is where model-based diagnosis comes into play.
Model-based diagnosis is a principled, domain-independent approach that can be generally applied to troubleshoot systems of a wide variety of types, including all the ones mentioned above. It exploits and orchestrates techniques for knowledge representation, automated reasoning, heuristic problem solving, intelligent search, learning, stochastics, statistics, decision making under uncertainty, as well as combinatorics and set theory to detect, localize, and fix faults in abnormally behaving systems.
In this talk, we will give an introduction to the topic of model-based diagnosis, point out the major challenges in the field, and discuss a selection of approaches from our research addressing these challenges. For instance, we will present methods for the optimization of the time and memory performance of diagnosis systems, show efficient techniques for a semi-automatic debugging by interacting with a user or expert, and demonstrate how our algorithms can be effectively leveraged in important application domains such as scheduling or the Semantic Web.
Function-as-a-Service (FaaS) is the latest paradigm of cloud computing in which developers deploy their codes as serverless functions, while the entire underlying platform and infrastructure is completely managed by cloud providers. Each cloud provider offers a huge set of cloud services and many libraries to simplify development and deployment, but only inside their clouds, often in a single cloud region. With such „help“ of cloud providers, users are locked to use resources and services of the selected cloud provider, which are often limited. Moreover, such heterogeneous and distributed environment of multiple cloud regions and providers challenge scientists to engineer cloud applications, often in a form of serverless workflows. In this talk, I will present our design principle „code once, run everywhere, with everything“. In particular, I will present challenges and our approaches and techniques how to program, model, orchestrate, and run distributed serverless workflow applications in federated FaaS.
As the network softwarization trend started by SDN and NFV keeps evolving, the hardware/software continuum becomes more relevant than ever, offering new offloading/acceleration opportunities at node and network-wide scales. This talk will review evolving transformations behind network softwarization with a special focus on network refactoring and offloading trends leading to “fluid networks planes”, characterized by multiple candidate options for the specific HW/SW embodiment and the location of chained network functions, from the edge to core, from one administrative provider to another, from programmable silicon to portable lightweight virtualized containers. The talk will overview concrete examples from the literature with a special focus on the role of Machine Learning to assist key (automated) decision-making steps. Lastly, the talk will conclude with a glimpse on ongoing ML work applied to Youtube video QoE prediction in live 5G networks.
The dynamics of networks enables the function of a variety of systems we rely on every day, from gene regulation and metabolism in the cell to the distribution of electric power and communication of information. Understanding, steering and predicting the function of interacting nonlinear dynamical systems, in particular if they are externally driven out of equilibrium, relies on obtaining and evaluating suitable models, posing at least two major challenges. First, how can we extract key structural system features of networks if only time series data provide information about the dynamics of (some) units? Second, how can we characterize nonlinear responses of nonlinear multi-dimensional systems externally driven by fluctuations, and consequently, predict tipping points at which normal operational states may be lost? Here we report recent progress on nonlinear response theory extended to predict tipping points and on model-free inference of network structural features from observed dynamics.
When it comes to integrating digital technologies into the classroom in higher education, many teachers face similar challenges. Nevertheless, it is difficult for teachers to share experiences because it is usually not possible to transfer successful teaching scenarios directly from one area to another, as subject-specific characteristics make it difficult to reuse them. To address this problem, instructional scenarios can be described as patterns that have been used previously in educational contexts. Patterns can capture proven teaching strategies and describe instructional scenarios in a consistent structure that can be reused. Because priorities for content, methods, and tools are different in each domain, a consensus-tested taxonomy was first developed with the goal of modeling a domain-independent database to collect digital instructional practices. In addition, this presentation will present preliminary insights into a data-driven approach to identifying effective instructional practices from interdisciplinary data as patterns. A web-based application will be developed for this that can both collect teaching/learning scenarios and individually extract scenarios from patterns for a learning platform.
The advent of fog and edge computing has prompted predictions that they will take over the traditional cloud for information processing and knowledge extraction in Internet of Things (IoT) systems. Notwithstanding the fact that fog and edge computing have undoubtedly large potential, these predictions are probably oversimplified and wrongly portray the relations between cloud, fog and edge computing.
Concretely, fog and edge computing have been introduced as an extension of the cloud services towards the data sources, thus forming the computing continuum. The computing continuum enables the creation of a new type of services, spanning across distributed infrastructures, supporting various IoT applications. These applications have a large spectrum of requirements, burdensome to meet with "distant'' cloud data centers. However, the introduction of the computing continuum raises multiple challenges for management, deployment and orchestration of complex distributed applications, such as: increased network heterogeneity, limited resource capacity of edge devices, fragmented storage management, high mobility of edge devices and limited support of native monolithic applications. These challenges primarily concern the complexity and the large diversity of the devices, managed by different entities (cloud providers, universities, private institutions), which range from single-board computers such as Raspberry Pis to powerful multi-processor servers.
Therefore, in this talk, we will discuss novel algorithms for low latency, scalable, and sustainable computing over heterogeneous resources for information processing and reasoning, thus enabling transparent integration of IoT applications. We will tackle the heterogeneity challenge of dynamically changing topologies of the computing infrastructure and present a novel concept for sustainable processing at scale.
East-west oriented photovoltaic power system is a new trend in orienting photovoltaic system. This lecture presents an evaluation of east–west oriented photovoltaic power system. A comparison between east–west oriented photovoltaic system and south oriented photovoltaic system in terms of cost of energy and technical requirement is conducted is presented in this lecture. In addition to that, the benefits of using east–west oriented photovoltaic system are discussed in this paper.
Randomized Signature or random feature selection are two instances of machine learning, where randomly chosen structures appear to be highly expressive. We analyze several aspects of the theory behind it, show that these structures have several theoretically attractive properties and introduce two classes of examples from finance (joint works with Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Martin Larsson, and Juan-Pablo Ortega).
We live in a “digital” world, the separation between physical and virtual makes (almost) no sense anymore. Here, the Corona pandemic has also acted as an accelerator/magnifier demonstrating that the future of our digital society is here with all its possibilities, but also shortcomings.
In his talk, Hannes Werthner will briefly reflect on the history of computer science, and then discuss the need for an interdisciplinary response to these shortcomings. Such an answer is the Digital Humanism, which looks at this interplay of technology and humankind, it analyzes, and, most importantly, tries to influence the complex interplay of technology and humankind, for a better society and life. In the second part he will discuss this approach, and show what was achieved since its first workshop in 2019, and what lies ahead.
In the latest years, we have witnessed a growing number of media transmitted and stored on computers and mobile devices. For this reason, there is an actual need to employ smart compression algorithms to reduce the size of our media files. However, such techniques are often responsible for severe reduction of user perceived quality. In this talk we present several approaches we have developed to restore degraded images and videos to match their original quality, making use of Generative Adversarial Networks. The aim of the talk is to highlight the main features of our research work, including the advantages of our solution, the current challenges and the possible directions for future improvements.
Recommendation systems today are widely used across many applications such as in multimedia content platforms, social networks, and ecommerce, to provide suggestions to users that are most likely to fulfill their needs, thereby improving the user experience. Academic research, to date, largely focuses on the performance of recommendation models in terms of ranking quality or accuracy measures, which often don’t directly translate into improvements in the real-world. In this talk, we present some of the most interesting challenges that we face in the personalization efforts at Netflix. The goal of this talk is to sunshine challenging research problems in industrial recommendation systems and start a conversation about exciting areas of future research.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
3. Vision
To overcome the crisis, EU enterprises need a
deep change
Introducing continuous improvement and
innovation to remain competitive in the
globalised economy
Sustainable Innovation rather than expansive
innovation
We need to put Knowledge in the center, to
guarantee
Continuous alignment of Business needs and
Enterprise Software Applications in ever changing
enterprises
3
6. Summarising ... few key questions
Questions are more important than answers...
What are the key needs for manufacturing /
service innovation today?
What are the main boosters / hindrances?
What is the interplay between human intelligence
and supporting technologies?
Where is the border between open knowledge and
new ideas protection?
What can we measure about innovation? Cost?
Expected benefits? Chances of success?
What are the methods/tools already adopted
today? What do you see in the future? 6
7. What is Business Innovation?
Business Innovation is a designed, managed
sustainable transformation of some
aspects of the enterprise (or the society, the
city, etc.) aimed at a substantial change of:
• The nature/quality of delivery products
(goods, services), improving customer
satisfaction
• Production processes and workers
satisfaction
• Cost reduction and/or revenue raise
• The Marketing Strategies / Scope
7
8. Business Innovation: Where?
• Products (goods / services)
• Production / Admin processes
• HR competencies, skills, capabilities
• Organization models, with new delegation patterns
• Enterprise information organization and flow
• Markets and marketing styles
• Customer relationships
• Suppliers and partners strategies and management
• Technology adoption, deployment, renewal
strategies and practice
• Financial and control styles, methods, and tools
• Quality of working life and ambient
• Relationships with the territories, the people, the
environment, local cultures
8
10. Business Innovation: How?
push-mode and technology driven, when
generated on the supply side;
pull-mode and demand driven, when requested by
the market/demand side;
co-creation, when all the stakeholders cooperate
together to generate product or process
innovation.
Endogenous, when ideas come from within the
Ecosystems
Exogenous, when ideas come from the rest of the
World
10
11. Risks in innovation
11
Can we avoid? ... or at least minimise? ... or at
least keep all the process under control?
12. Enabling Business Innovation
• Create the right environment, working conditions
• Grassroots innovation (beyond Toyotism ...)
• Open innovation (but controlled), with systematic and
ad-hoc relationships with
• universities , research centres, partners, suppliers and
customers
• Facilitate info / knowledge / ideas circulation within
and outside the enterprise
• Culture of cooperation (tools & rewarding system)
• Scouting
Technology
Market
Excellence centres
• Observatories on opportunities, problems, threats, ...
12
13. Innovation New Knowledge
Knowledge about
• New ideas, reserch results, patents, ...
• enterprise and its organization
• competencies, skills, and capabilities
• problems and improvement opportunities
• products and services
• production processes, methods
• Technologies, systems, and resources
• Markets, clients, partners and competitors
13
15. Innovating Innovation
Towards Open Innovation
A systematic approach to Innovation, nurturing
creativity and ideas generation
Innovation as intangible goods
‘Manufacturing’ approach to Innovation
The need of new production/organization
models
Manage the full Knowledge Cycle (including
Tacit Knowledge, see Nonaka)
Virtual Innovation Factory (VIF), operating
in the Innovation space
15
16. BIVEE Philosophy
Consolidating BIVEE Framework specifications
• Key elements: people, ideas, communication,
collaboration, social behaviour, communities
• Full Value Chain: from innovation to production
improvement
• Innovation as an iterative, goal-oriented, venture
based on 4 Waves: Creativity, Feasibility,
Prototyping, Engineering
• Monitoring & Assessment: integrated formal (KPIs)
and informal (social & crowdsourcing) approaches
• Integration of Human (informal, document-based) &
Computer (formal, semantics-based) Knowledge
16
17. People first, then business and
technology
(http://www.thecontenteconomy.com/) 17
18. Enterprise Model 4 BusInnov
18
BUSSINESS
innovation
STRATEGY
innovation
MARKETING
innovation
PRODUCT
innovation
SERVICE
innovation
PROCESS
innovation
TECHNOLOGY
innovation
ORGANIZATIONAL
innovation
(Scource: BIVEE Deliverable D2.1)
20. BIVEE Tech Solutions
• A Virtual Enterprise Environment, to be integrated
with existing Enterprise Software Applications (ESA)
• Distributed, collaborative, knowledge-intensive
framework
• A Platform for networked, interoperable virtual/real
enterprises
• To be used directly by Business Experts, pushing for
disintermediation (wrt techies) in innovation KM
• Shared Semantic Whiteboard, to guarantee a single
‘ideas shopping’ point.
• Proactive subject-driven knowledge provisioning
• Innovation Observatory to push Open Innovation,
Crowdsourcing, …
20
21. Virtual Innovation Factory
• Virtual Innovation Factory set up
– Definition of objectives:
a) Problem-driven, e.g., proposed by a customer
b) product-driven, e.g., proposed by staff experts
c) tech-driven, e.g., proposed by staff / external
player
– Create a VIF with its Manager
– Create the Innovation teams: composition,
organization, competencies & roles, etc.
– Acquire the material and financial resources
– Start the ad-hoc Collabrative Innovation
Plan
21
28. Conclusions
The main ideas on a new approach for
Innovation have been presented
Future innovation needs to be addressed as a
Knowledge Management venture
But traditional KM is not suited for the purpose
We need to revisiting the existing KM
solutions
Ontologies and Semantic Wikis are
promising tools, together with social media
and cooperation tools (in Open Innovation)
But human intelligence and creativity
remains the key pillar
28