Showcasing Our Leading App Collection.pdf

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Showcasing Our Leading App Collection.pdf

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From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

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НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»

QADay

How world-class product teams are winning in the AI era by CEO and Founder, P...

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State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth 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/

Elevating Tactical DDD Patterns Through Object Calisthenics

Dorra BARTAGUIZ

After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!

UiPath Test Automation using UiPath Test Suite series, part 4

DianaGray10

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

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.

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

Breaking the Ruby Performance Barrier with YJIT

maximechevalierboisv1

With each of the past 3 Ruby releases, YJIT has delivered higher and higher performance. However, we are seeing diminishing returns, because as JIT-compiled code becomes faster, it makes up less and less of the total execution time, which is now becoming dominated by C function calls. As such, it may appear like there is a fundamental limit to Ruby’s performance. In the first half of the 20th century, some early airplane designers thought that the speed of sound was a fundamental limit on the speed reachable by airplanes, thus coining the term “sound barrier”. This limit was eventually overcome, as it became understood that airflow behaves differently at supersonic speeds. In order to break the Ruby performance barrier, it will be necessary to reduce the dependency on C extensions, and start writing more gems in pure Ruby code. In this talk, I want to look at this problem more in depth, and explore how YJIT can help enable writing pure-Ruby software that delivers high performance levels.

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

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GraphRAG is All You need? LLM & Knowledge Graph

Guy 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/

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

ODC, Data Fabric and Architecture User Group

CatarinaPereira64715

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Knowledge engineering: from people to machines and back

Elena Simperl

The Art of the Pitch: WordPress Relationships and Sales

Laura Byrne

Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes? All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.

Designing Great Products: The Power of Design and Leadership by Chief Designe...

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Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

Recently uploaded (20)

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»

How world-class product teams are winning in the AI era by CEO and Founder, P...

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Elevating Tactical DDD Patterns Through Object Calisthenics

UiPath Test Automation using UiPath Test Suite series, part 4

Neuro-symbolic is not enough, we need neuro-*semantic*

When stars align: studies in data quality, knowledge graphs, and machine lear...

Breaking the Ruby Performance Barrier with YJIT

UiPath Test Automation using UiPath Test Suite series, part 3

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

GraphRAG is All You need? LLM & Knowledge Graph

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ODC, Data Fabric and Architecture User Group

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Knowledge engineering: from people to machines and back

The Art of the Pitch: WordPress Relationships and Sales

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Showcasing Our Leading App Collection.pdf

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