Project Pulse Chart by Ijaz Haider Malik

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.

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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.

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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.

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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.

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Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

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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

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Project Pulse Chart by Ijaz Haider Malik

2. HIGH LEVEL PLAN Phases Name Phases Plan Date Actual Date PHASE-A Define Phase 15-Feb-14 15-Mar-14 Design Phase 15-Jun-14 15-Aug-14 Build/Dev. Phase 15-Oct-14 15-Sep-14 UAT Phase 15-Nov-14 15-Nov-14 Implementation Phase 31-Dec-14 20-Jan-15 PHASE-B Define Phase 15-Feb-15 15-Mar-15 Design Phase 15-Jun-15 15-Aug-15 Build/Dev. Phase 15-Oct-15 15-Sep-15 UAT Phase 15-Nov-15 15-Nov-15 Implementation Phase 31-Dec-15 20-Jan-16 Copyright: Ijaz Haider Malik –TOGAF 9.1® PRINCE2® ProjPulseChart©

3. DEFINE DESIGN BUILD UAT PRODUCTION DEFINE DESIGN BUILD UAT PRODUCTION Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Phase-A Phase-B 15Feb Planned OFF TRACK Sep-14 Oct-14 Nov-14 Dec-15 Jan-16 Feb-16 Mar-16 Apr-16 15Jun 15Oct Ijaz Haider Malik (TOGAF 9.1 ,Prince2 ) 15Nov 31Dec On-time /Before Time 15Feb 15Jun 15Oct 15Nov 31Dec

4. ProjPulseChart© ProjPulseChart© IS COPYRIGHT BY IJAZ HAIDER MALIK weboriez@Hotmail.com Ijaz.haider@ptcl.net.pk (+9251) 3335690567 Note: If you need Power point’s editable version, send an email and I shall share with you (Free of cost)

5. 15-Jan-14 14-Feb-14 16-Mar-14 15-Apr-14 15-May-14 14-Jun-14 14-Jul-14 13-Aug-14 12-Sep-14 12-Oct-14 11-Nov-14 11-Dec-14 10-Jan-15 Cost Plan (Million) 50 100 150 200 250 300 350 400 450 500 550 600 650 Cost Actual (Million) 10 20 40 60 150 250 350 450 500 550 570 610 700 0 100 200 300 400 500 600 700 800 1-Jan-14 1-Feb-14 1-Mar-14 1-Apr-14 1-May-14 1-Jun-14 1-Jul-14 1-Aug-14 1-Sep-14 1-Oct-14 1-Nov-14 1-Dec-14 1-Jan-15 COST CHART Cost Plan (Million) Cost Actual (Million) ADDED INFO If you would like draw Cost Line chart in Excel, create a table mentioned below and rest Excel will do the magic

Project Pulse Chart by Ijaz Haider Malik

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Project Pulse Chart by Ijaz Haider Malik