- The document summarizes a presentation given by Traian Kaiser of XING AG on software development productivity and effectiveness.
- It discusses balancing effectiveness, which is doing the right things, and efficiency, which is doing things right. Effectiveness and efficiency cannot be optimized independently and their interaction is complex.
- Metrics can provide feedback but should not replace trust, and certain metrics used incorrectly can be dysfunctional. Productivity metrics need to be used carefully and coupled with effectiveness metrics.
Did You Shanzhai Today? The Cathedral and the Bazaar in China. virginiacha
A look at Shanzhai Innovation from an applied research point of view. This PPT was shared with the 2011 Innovation Update Seminar seminar at the Institute of Systems Science, National University of Singapore. The story behind Shanzhai is about fast external learning and low cost of experimentation - it is not about copy bandit.
Peter Boersma's presentation "UX Beyond UCD" from UX Camp Europe 2012. Shows deliverables that influence the user experience that are not part of the standard User Centered Design set. Includes deliverables from business, strategy, (project) management, and process design.
Did You Shanzhai Today? The Cathedral and the Bazaar in China. virginiacha
A look at Shanzhai Innovation from an applied research point of view. This PPT was shared with the 2011 Innovation Update Seminar seminar at the Institute of Systems Science, National University of Singapore. The story behind Shanzhai is about fast external learning and low cost of experimentation - it is not about copy bandit.
Peter Boersma's presentation "UX Beyond UCD" from UX Camp Europe 2012. Shows deliverables that influence the user experience that are not part of the standard User Centered Design set. Includes deliverables from business, strategy, (project) management, and process design.
Stakeholder Persuasion - How to quantify your gut feelingUser Intelligence
Using User Research to Convince Stakeholders
Everyone who has worked with large corporate clients knows how hard it can be to align a group of stakeholders and get them all to agree. They’re often hardly engaged in the project itself, and they are hard to convince when it comes to design decisions. In the past, we’ve worked with a number of these types of clients, and we have found a few ways to get the stakeholders more engaged. Next to that, we have learned to speak their language (sort of), which helps tremendously when you need to convince them that your solution is actually better.
In this presentation Jacco and Martijn will tell you how they have used different forms of user research to address these issues and use examples from recent project to illustrate their way of working.
The slides (in English, expect the title) of our "How to test an AI application?" webinar. Presenters in Finnish were Mark Sevalnev and Kari Kakkonen, using English slides. The webinar slides are partially from Knowit and partially (with permission) from Knowit's AI testing course material provider STA Consulting.
We gave a quick overview to AI/ML today, as such understanding is needed to be able to test software that has AI in it. Then we discussed how to test such an AI application with some examples.
More about this topic at ISTQB AI Testing course by Knowit at Tieturi
https://www.istqb.org/certifications/artificial-inteligence-tester
https://www.tieturi.fi/koulutus/istqb-ai-testing/
https://www.knowit.fi/kurssit-ja-tapahtumat/
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
Gramener's Chief Decision Scientist & Co-Founder Ganes Kesari conducted an exciting webinar on how to measure ROI on your data science initiatives.
In this webinar people from the C-suite level CEO, COO, Directors, Managers across various industries joined.
Ganes Kesari covered the following points with industry examples:
-Identifying business use cases with a high impact
-Choosing effective success indicators
-Ascertaining that the consequences may be traced back to your data project
The attendees had a good time. Learnings from the webinar:
-Why do businesses struggle to get a return on their data investments?
-A straightforward framework for calculating the return on investment from your data projects
-Benchmarking of typical payback from data initiatives in the industry
To check out the complete recording of the webinar please visit:
https://info.gramener.com/5-steps-to-measure-roi-on-your-data-science-initiatives
To know more about data advisory check out:
https://gramener.com/advisory-consulting/
This is the deck of a webinar that I presented at the OpenGroup. The focus of this webinar is on the challenge of using these standards in practice to build a strong architecture capability in organizations.
DrupalDay 2014 - Ecology of value and DRUPAL@Engineering: the experience of a...SpagoWorld
The presentation supported the speech given by Gabriele Ruffatti -Head of Engineering Group’s Open Source Competency Center- at DrupalDay, taking place in Milan (Italy) on 14th and 15th November 2014. www.spagoworld.org
UX IS ABOUT SATISFACTION.
UX IS DESIGNING FOR USER TO COME BACK THE SITE.
UX FOCUSES ON THE STRUCTURE & LAYOUT OF CONTENT, NAVIGATION AND HOW USERS INTERACT WITH THEM.
[DSC Europe 22] The Making of a Data Organization - Denys HolovatyiDataScienceConferenc1
Data teams often struggle to deliver value. KPIs, data pipelines, or ML driven predictions aren't inherently useful - unless the data team enables the business to use them. Having worked on 37 data projects over the past 5 years, with total client revenue clocking at about $350B, I started noticing simple success factors - and summarized those in the Operating Model Canvas & the Value Delivery Process. With those, I branched out into what I call data organization consulting and help clients build their data teams for success, the one you see not only on paper but also in your P&L. In this talk, I'll share some insight with you.
‘Managing People Change in the Digital Era’ with Mr. Manoj Prasad, V.P. – Digital Transformation & People Change, Reliance Industries. He will be discussing why Digital Transformation is important in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world, change management and the key to adopt a digital mind-set.
About Manoj Prasad: An HR Industry veteran with more than 21+ years of global work experience, he has been managing end to end complex HR Transformation & Organization Change program across globe. He is currently leading the recreate, redesign & transform e-digital platform initiatives across Reliance.
Facebook- https://www.facebook.com/NMIMSSCE/
Twitter- https://twitter.com/NMIMS_SCE
LinkedIn- https://www.linkedin.com/school/nmims/
For projects like building a power plant or a train tunnel, tough project managers are needed. But when it comes to developing digital or physical products, the role of a project manager has an increasingly difficult standing. During agile or digital transformations, new roles emerge to take over project management tasks. So, are project managers needed in these areas in the future?
Prototyping is not a new concept, but the role it plays in the design process has changed dramatically in the last few years. Proliferation of agile methods and the grassroots nature of design thinking have opened up new opportunities where research and design happen simultaneously. New tools for building digital prototypes have given design teams numerous options from very simple demos to complex proof of concepts.
The Devbridge Design team shares their experience and explore cases where prototyping has driven the design and research process. With varying levels of complexity and fidelity, each has had a different outcome.
IxDA October Event: Prototyping Approaches and OutcomesIxDA Chicago
Prototyping is not a new concept, but the role it plays in the design process has changed dramatically in the last few years. Proliferation of agile methods and the grassroots nature of design thinking have opened up new opportunities where research and design happen simultaneously. New tools for building digital prototypes have given design teams numerous options from very simple demos to complex proof of concepts.
Learn about the Devbridge Design team's experience as they explore cases where prototyping has driven the design and research process. With varying levels of complexity and fidelity, each has had a different outcome.
Stakeholder Persuasion - How to quantify your gut feelingUser Intelligence
Using User Research to Convince Stakeholders
Everyone who has worked with large corporate clients knows how hard it can be to align a group of stakeholders and get them all to agree. They’re often hardly engaged in the project itself, and they are hard to convince when it comes to design decisions. In the past, we’ve worked with a number of these types of clients, and we have found a few ways to get the stakeholders more engaged. Next to that, we have learned to speak their language (sort of), which helps tremendously when you need to convince them that your solution is actually better.
In this presentation Jacco and Martijn will tell you how they have used different forms of user research to address these issues and use examples from recent project to illustrate their way of working.
The slides (in English, expect the title) of our "How to test an AI application?" webinar. Presenters in Finnish were Mark Sevalnev and Kari Kakkonen, using English slides. The webinar slides are partially from Knowit and partially (with permission) from Knowit's AI testing course material provider STA Consulting.
We gave a quick overview to AI/ML today, as such understanding is needed to be able to test software that has AI in it. Then we discussed how to test such an AI application with some examples.
More about this topic at ISTQB AI Testing course by Knowit at Tieturi
https://www.istqb.org/certifications/artificial-inteligence-tester
https://www.tieturi.fi/koulutus/istqb-ai-testing/
https://www.knowit.fi/kurssit-ja-tapahtumat/
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
Gramener's Chief Decision Scientist & Co-Founder Ganes Kesari conducted an exciting webinar on how to measure ROI on your data science initiatives.
In this webinar people from the C-suite level CEO, COO, Directors, Managers across various industries joined.
Ganes Kesari covered the following points with industry examples:
-Identifying business use cases with a high impact
-Choosing effective success indicators
-Ascertaining that the consequences may be traced back to your data project
The attendees had a good time. Learnings from the webinar:
-Why do businesses struggle to get a return on their data investments?
-A straightforward framework for calculating the return on investment from your data projects
-Benchmarking of typical payback from data initiatives in the industry
To check out the complete recording of the webinar please visit:
https://info.gramener.com/5-steps-to-measure-roi-on-your-data-science-initiatives
To know more about data advisory check out:
https://gramener.com/advisory-consulting/
This is the deck of a webinar that I presented at the OpenGroup. The focus of this webinar is on the challenge of using these standards in practice to build a strong architecture capability in organizations.
DrupalDay 2014 - Ecology of value and DRUPAL@Engineering: the experience of a...SpagoWorld
The presentation supported the speech given by Gabriele Ruffatti -Head of Engineering Group’s Open Source Competency Center- at DrupalDay, taking place in Milan (Italy) on 14th and 15th November 2014. www.spagoworld.org
UX IS ABOUT SATISFACTION.
UX IS DESIGNING FOR USER TO COME BACK THE SITE.
UX FOCUSES ON THE STRUCTURE & LAYOUT OF CONTENT, NAVIGATION AND HOW USERS INTERACT WITH THEM.
[DSC Europe 22] The Making of a Data Organization - Denys HolovatyiDataScienceConferenc1
Data teams often struggle to deliver value. KPIs, data pipelines, or ML driven predictions aren't inherently useful - unless the data team enables the business to use them. Having worked on 37 data projects over the past 5 years, with total client revenue clocking at about $350B, I started noticing simple success factors - and summarized those in the Operating Model Canvas & the Value Delivery Process. With those, I branched out into what I call data organization consulting and help clients build their data teams for success, the one you see not only on paper but also in your P&L. In this talk, I'll share some insight with you.
‘Managing People Change in the Digital Era’ with Mr. Manoj Prasad, V.P. – Digital Transformation & People Change, Reliance Industries. He will be discussing why Digital Transformation is important in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world, change management and the key to adopt a digital mind-set.
About Manoj Prasad: An HR Industry veteran with more than 21+ years of global work experience, he has been managing end to end complex HR Transformation & Organization Change program across globe. He is currently leading the recreate, redesign & transform e-digital platform initiatives across Reliance.
Facebook- https://www.facebook.com/NMIMSSCE/
Twitter- https://twitter.com/NMIMS_SCE
LinkedIn- https://www.linkedin.com/school/nmims/
For projects like building a power plant or a train tunnel, tough project managers are needed. But when it comes to developing digital or physical products, the role of a project manager has an increasingly difficult standing. During agile or digital transformations, new roles emerge to take over project management tasks. So, are project managers needed in these areas in the future?
Prototyping is not a new concept, but the role it plays in the design process has changed dramatically in the last few years. Proliferation of agile methods and the grassroots nature of design thinking have opened up new opportunities where research and design happen simultaneously. New tools for building digital prototypes have given design teams numerous options from very simple demos to complex proof of concepts.
The Devbridge Design team shares their experience and explore cases where prototyping has driven the design and research process. With varying levels of complexity and fidelity, each has had a different outcome.
IxDA October Event: Prototyping Approaches and OutcomesIxDA Chicago
Prototyping is not a new concept, but the role it plays in the design process has changed dramatically in the last few years. Proliferation of agile methods and the grassroots nature of design thinking have opened up new opportunities where research and design happen simultaneously. New tools for building digital prototypes have given design teams numerous options from very simple demos to complex proof of concepts.
Learn about the Devbridge Design team's experience as they explore cases where prototyping has driven the design and research process. With varying levels of complexity and fidelity, each has had a different outcome.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
11. Value of developed and distributed software
solutions for business requirements
(including quality and time).
Productivity Output
In SW Development Input
Cost of created and distributed software
solutions trough people, services and other
resources needed.
12. „Do the right things.“
things.“
Effectiveness
Erfolg
Efficiency
„Do the things right“
right“
13. Business Models Time to market
Do the right things
Domain expertise Innovations Market knowledge
Coordination-
Coordination- & communication efforts
System cost Service Costs
Staff costs
Do the things right
Development efforts Maintanance efforts
14. Thesis:
Software development is a creative and
complex process. Effectiveness and efficiency
can not be optimized independently of each
other and the interactions are not detectable in
their entirety.
Effectiveness
Efficiency
15. Example 1 – Discovery Process
Balancing effectiveness vs. efficiency by having
a pre-phase finding out if our user like what we
pre-
plan to do
16. Example 2 - Staffing
Performance differences between mediocre
contributors and „artists“ can be huge.
artists“ huge.
In addition, working team patterns and team
addition,
productivity is another game to play.
play.
17.
18.
19. Reduce coordination and
communication efforts
Value adding efforts
to “the right things”
Reduce „Waste“
Waste“
(Efforts without value)
value)
20. 7 Types of Waste to avoid…
… and how to measure them…
Partially Done Work (Blocked Cards/Tickets/Stories)
Not used Documentation
Extra Features (Feature- / Module usage metrics)
Task Switching (Work In Progress)
Handoffs (Cycle Time)
Delays (Lead Time)
Defects (Failure Load, Code Metrics, Test
Coverage, Bugs per Line of Code, … )
21. Communication & coordination
efforts to avoid …
… are they measureable?…
Insufficent or excessive process / framework
Unclear or inadequate division of roles
and responsibilities
Too many dependencies of all kind
Performance to Commit / Deadlines
Productive Time
Throughput / Velocity (Variance)
22. Beware: Efficiency metrics can be
dysfunctional…
Assumed efficiency metrics
Working hours
Utilization
Lines of Code
Relative metrics & metric comparison
Velocity
Metrics as replacement for trust
All Metrics
23. Value adding efforts to increase…
Additonal Sold / used products
Milestone /Project KPIs
Team KPIs
User Impact Indicators
Customer Satisfaction
Net Promoter Score
Number of Customer Complaints / 1000 Customer
User Ratings
30. Visualization is a powerfull instrument
Inventory Started Designed Coded Complete
240
220
200
180
160
Story Points
140 Lead Time
120
100
80
60 WIP
40
20
0
*Example by David J. Anderson
31.
32. Productivity metrics
can be dysfunctional.
Consider Used correctly as
Recognize
software feedback channel,
dependencies
development certain metrics could
between
as a creative provide important
effectiveness
and complex feedback. Coupling
and efficiency
process effectiveness and
efficiency metrics is
essential
33. Thank you
My Profile: http://www.xing.com/profile/Traian_Kaiser
Join our Group: http://www.xing.com/net/leansoftwaredevelopment/
34. CREDITS
• Slide 12: Graph deduced from „Projekteffizienz und Projekteffektivität“ from Dr. Dirk Olufs, Einführung in das
Projektmanagement, SS 2006, Block 1, Universität Siegen, Juni 2006
• Slide 15: http://www.flickr.com/photos/dunechaser/1721982928/in/photostream/
35. DISCLAIMER
This presentation was produced in April 2011 by XING AG (the "Company") solely for use as an information source for
potential business partners and is strictly confidential. It has been made available to you solely for your own information and
may not be copied, distributed or otherwise made available to any other person by any recipient. This presentation is not an
offer for sale of securities in the United States. The distribution of this presentation to you does not constitute an offer or
invitation to subscribe for, or purchase, any shares of the XING AG and neither this presentation nor anything contained
herein shall form the basis of, or be relied on in connection with, any offer or commitment whatsoever.
The facts and information contained herein are as up-to-date as is reasonably possible and are subject to revision in the
future. Neither the Company nor any of its subsidiaries, any directors, officers, employees, advisors nor any other person
makes any representation or warranty, express or implied as to, and no reliance should be placed on, the accuracy or
completeness of the information contained in this presentation. Neither the Company nor any of its subsidiaries, any
directors, officers, employees, advisors or any other person shall have any liability whatsoever for any loss arising, directly or
indirectly, from any use of this presentation. The same applies to information contained in other material made available at
the presentation.
While all reasonable care has been taken to ensure the facts stated herein are accurate and that the opinions contained
herein are fair and reasonable, this document is selective in nature and is intended to provide an introduction to, and
overview of, the business of the Company. Where any information and statistics are quoted from any external source, such
information or statistics should not be interpreted as having been adopted or endorsed by the Company as being accurate.
This presentation contains forward-looking statements relating to the business, financial performance and results of the
Company and/or the industry in which the Company operates. These statements are generally identified by words such as
"believes," "expects," "predicts," "intends," "projects," "plans," "estimates," "aims," "foresees," "anticipates," "targets," and
similar expressions. The forward-looking statements, including but not limited to assumptions, opinions and views of the
Company or information from third party sources, contained in this presentation are based on current plans, estimates,
assumptions and projections and involve uncertainties and risks. Various factors could cause actual future results,
performance or events to differ materially from those described in these statements. The Company does not represent or
guarantee that the assumptions underlying such forward-looking statements are free from errors nor do they accept any
responsibility for the future accuracy of the opinions expressed in this presentation. No obligation is assumed to update any
forward-looking statements.