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Finance, Adisory, Accounting
Blog 

In Österreich herrscht Meinungsfreiheit. Obwohl ich Mitglied diverser Lobbyvereinigungen, Kammern und auch politischen Organisationen bin, blogge ich als freier Blogger, Journalist und Autor.  

Alle Beiträge dürfen geteilt und mit Weblinks verwiesen werden. Ich kopiere keine Inhalte von anderen, sondern verwende eigene Ideen, Gedanken und Visionen um kritische Beiträge und Themen die mich beschäftigen und interessieren zu beschreiben. Ich verwende Künstliche Intelligenz und versuche dabei ethische Standards zu halten und kein copy und paste von anderen Autoren zu machen. 

In diesem Blog finden sich dutzende Beiträge mit Analysen der wirtschaftlichen Lage und Datenanalysen. Meine Youtube Videos haben teilweise mehr als 50.000 Views. Schaut daher auch gerne dort nach. Analysen der Finanzmärkte sind auf keinen Fall eine Empfehlung zum Kauf oder Verkauf eines Wertpapierproduktes. 

Die Wahl des "richtigen" GPT hängt davon ab, wofür du es nutzen möchtest. Hier sind einige Tipps, die dir helfen können, das passende GPT-Modell oder die passende Konfiguration zu finden:


1. Zweck festlegen


Überlege dir, was du mit dem GPT erreichen möchtest:


Textgenerierung (Blogposts, Artikel, Geschichten)?


Analysen und Datenverarbeitung?


Kreative Unterstützung (Design-Ideen, Brainstorming)?


Code-Generierung oder technische Unterstützung?



Jedes Modell kann zwar Vieles, aber einige Anwendungen erfordern spezifische Fähigkeiten.



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2. Größe des Modells wählen


GPT-Modelle gibt es in verschiedenen Größen (z. B. GPT-3.5 oder GPT-4):


GPT-3.5: Schnell und kosteneffizient. Gut für alltägliche Anwendungen.


GPT-4: Besser für komplexe Aufgaben, wie tiefgründige Analysen oder kreative Projekte. Hat oft bessere Antworten, benötigt aber mehr Rechenleistung.




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3. Interface und Funktionen


Überlege, welches Tool du nutzen willst:


ChatGPT von OpenAI: Intuitiv und direkt im Browser nutzbar.


API-Zugriff: Wenn du GPT in eigene Anwendungen integrieren möchtest.


Plattformen mit angepassten GPT-Integrationen: Manche Plattformen (z. B. Notion oder Jasper) bieten spezialisierte GPT-Modelle für bestimmte Aufgaben.




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4. Testen und Feinjustierung


Experimentiere mit unterschiedlichen Prompts, um die Ergebnisse zu optimieren.


Falls du spezifische Anforderungen hast, wie technisches Fachwissen oder Kreativität, formuliere deine Anfragen entsprechend klar.


Du kannst auch Custom Instructions verwenden, um das Modell an deinen Arbeitsstil anzupassen.




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5. Budget berücksichtigen


Überlege, wie viel du bereit bist, auszugeben:


Kostenlose Varianten: Für einfache Zwecke oft ausreichend.


Bezahlte Abos (z. B. ChatGPT Plus): Ermöglichen Zugriff auf leistungsstärkere Modelle wie GPT-4.


API-Zugriff: Kosten richten sich nach dem Verbrauch (Tokens).




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6. Alternative Modelle erkunden


Neben GPT gibt es auch Alternativen wie Google Bard, Claude (Anthropic) oder lokale Modelle wie Llama 2, die je nach Aufgabe besser passen könnten.


Falls du mir mehr über deinen Anwendungsfall erzählst, kann ich dir spezifischere Empfehlungen geben.




Heute poste ich eine Aufnahme mit dem Klavier, bearbeitet in Logic Pro X.



Filmmusic Trailer, Autum 2024




Pega, or Pegasystems Inc., is a global software company that specializes in developing software for customer relationship management (CRM), digital process automation, and business process management (BPM). It provides technology solutions that help organizations optimize their customer interactions and streamline their operations. Here are some key points about Pega:


1. Platform and Technology


Pega Platform: The core product of Pegasystems is the Pega Platform, which allows businesses to develop and manage applications for automating workflows and processes. It’s designed to be highly flexible, enabling companies to create tailor-made solutions without extensive coding.

Low-Code Development: Pega is known for its low-code/no-code platform, which empowers users to create applications with minimal programming knowledge. This helps reduce development time and costs.

AI and Decisioning: Pega incorporates artificial intelligence (AI) to enhance customer engagement through real-time decision-making and predictive analytics. The platform can adapt and optimize customer interactions based on data-driven insights.

Case Management: Pega excels in case management, allowing organizations to manage complex, end-to-end customer journeys and processes seamlessly.


2. Industries and Use Cases


Industries: Pega solutions are used in various industries, including financial services, healthcare, insurance, telecommunications, and public services. This widespread use is due to its adaptability in handling complex business rules and processes.

Applications: Companies use Pega for customer service operations, onboarding processes, workflow automation, compliance management, and more. The software helps in building customer service desks, claim processing systems, and other business-critical applications.


3. Key Features


Intelligent Automation: Pega’s tools help businesses automate repetitive tasks while ensuring complex processes are handled efficiently.

Customer Engagement: The platform provides personalized customer experiences by utilizing AI-driven insights, making it easier to improve customer satisfaction and loyalty.

Unified Platform: Pega consolidates various aspects of digital transformation, from workflow automation to AI insights, into a single platform that integrates seamlessly with existing enterprise systems.

Scalability and Flexibility: The platform supports scaling to meet the needs of growing organizations and adapting solutions as business needs evolve.


4. Competitors and Market Position


• Pega competes with other software companies like Salesforce, Appian, ServiceNow, and IBM in the BPM and CRM markets. Pega is distinguished by its robust decisioning capabilities and deep automation features.

Gartner Recognition: Pega is frequently recognized in Gartner Magic Quadrants as a leader in BPM, case management, and CRM categories.


5. Training and Certification


Pega Academy: Pegasystems offers training and certification programs through the Pega Academy, which help professionals develop expertise in the platform. Certifications range from business architect and system architect to more advanced developer and decisioning consultant roles.

Professional Growth: Pega skills are in high demand, especially for roles like Pega developers, Pega architects, and consultants specializing in digital transformation and workflow automation.


Overall, Pega is considered a powerful tool for organizations looking to enhance operational efficiency, improve customer service, and accelerate digital transformation through its comprehensive, AI-enabled, low-code platform.



Pega is used across a wide range of industries due to its versatile capabilities in workflow automation, customer relationship management (CRM), and business process management (BPM). Some of the main industries where Pega is heavily utilized include:


1. Financial Services and Banking


Customer Onboarding: Automates the complex process of onboarding new customers, ensuring compliance and reducing time to service.

Loan Processing: Streamlines loan approval processes and ensures consistency and accuracy.

Risk Management and Compliance: Supports regulatory compliance and risk management efforts through automated workflows.

Fraud Detection: Integrates AI to identify and flag potential fraudulent activities.


2. Insurance


Claims Processing: Enhances efficiency in claims management by automating the workflow, ensuring faster resolution and fewer errors.

Underwriting: Supports underwriters with AI-driven insights and data collection to assess risks more accurately.

Customer Service: Delivers personalized and seamless customer service experiences.


3. Healthcare and Life Sciences


Patient Engagement: Facilitates better communication and personalized care by managing patient data and interactions efficiently.

Case Management: Streamlines processes for handling patient cases, clinical trials, and treatment plans.

Compliance: Helps ensure adherence to healthcare regulations and standards.


4. Telecommunications


Customer Service Management: Automates customer service processes to reduce response times and improve issue resolution.

Order Management: Simplifies and automates the handling of customer orders, from initiation to fulfillment.

Billing and Payment Systems: Enhances the accuracy and efficiency of billing processes.


5. Public Sector and Government


Citizen Services: Modernizes and automates public service processes, making them more efficient and citizen-centric.

Regulatory Compliance: Helps government agencies manage regulations and compliance efforts more effectively.

Program Administration: Manages complex programs like social services or public health initiatives through automated workflows.


6. Manufacturing


Supply Chain Management: Optimizes supply chain operations by automating processes related to procurement, inventory management, and logistics.

Quality Control: Supports automated tracking and reporting on quality assurance processes.

Customer Support: Improves post-sale support and customer engagement.


7. Retail and Consumer Goods


Customer Engagement and Loyalty Programs: Personalizes customer experiences and enhances loyalty programs with AI and automated workflows.

Order Fulfillment: Streamlines processes from online orders to in-store pickups and deliveries.

Marketing Automation: Facilitates targeted marketing campaigns through predictive analytics and real-time customer data.


8. Utilities and Energy


Customer Service Automation: Manages service requests, billing, and customer support efficiently.

Field Service Management: Coordinates field operations, maintenance, and issue resolution in real-time.

Regulatory Compliance: Assists in meeting industry standards and regulatory requirements through automated systems.


9. Travel and Hospitality


Personalized Customer Journeys: Enhances customer interactions with personalized recommendations and engagement.

Booking and Reservations: Simplifies and automates booking and reservation processes.

Customer Support: Improves the efficiency of customer service operations with automated responses and case handling.


10. High Tech and Software


Customer Service and Support: Enhances support for technology companies dealing with complex products and multiple channels.

Sales Automation: Supports sales teams with automated lead management and customer data insights.

Product Lifecycle Management: Assists in tracking the development, launch, and updates of technology products.


Pega’s adaptability and its robust suite of features, including AI-driven decision-making, case management, and low-code development, make it a popular choice for organizations seeking to streamline processes and enhance customer engagement across various sectors.


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