June is Pride Month, and this year EBCONT accompanied it with various activities. Once again, it was celebrated appropriately with an EBCONT Pride boat trip, featuring around 150 internal guests, to promote greater visibility.

For the first time, the internal EBCONT Rainbow Run took place, with 26 participants raising almost &euro;1,000 for an LGBTIQ+ organization, marking a resounding success.

The rainbow month was also complemented by participation in prominent panel discussions on EBCONT&#39;s Diversity Best Practices and lessons learned, such as at the <a href="https://businesscircle.at/human-resources/konferenz/inclusive-business-diversity-excellence-summit/" style="text-decoration:none">DEI Summit</a>, the <a href="https://rainbow-day.de/" style="text-decoration:none">Rainbow Day</a>,&mdash;a career and networking fair for those who live and appreciate diversity&mdash;and at Pride partner events organized by Microsoft and Drei, where EBCONT experts are now welcome guests and contributors.

Carina Skladal, co-initiator of the EBCONT Diversity Initiative, is proud of what has been achieved so far: &quot;I am delighted that we can once again conclude June with this very special EBCONT Pride Boat Lounge and hopefully carry this vibe beyond June. Today on the Danube, we will make a statement for acceptance, respect, and equal rights. Furthermore, the many vibrant colors should ensure visibility.&quot;

Johannes Litschauer, Managing Director of EBCONT, supports this clear statement: &quot;We are a family business and bring together many cultures and diversities with our over 600 employees. We want to offer our colleagues a diverse home free from hate and discrimination.&quot;

Visibility was also the keyword for one of the evening&#39;s highlights. This year&#39;s Pride Boat Opening was highlighted by two community representatives: EBCONT colleague Daniel Schabauer, aka <a href="https://www.erikaempire.eu/" style="text-decoration:none">Erika Empire</a>, and Felix Schiller, also known as drag artist and DJ, <a href="https://www.instagram.com/dieschillerin/" style="text-decoration:none">Die Schillerin</a>.

Unvarnished and to the point, the two addressed in an interview the issues of private and professional coming out, legislation, and threats surrounding the community, and where we can collectively work for more respect and acceptance.

Daniel Schabauer: &quot;There are homosexual and queer individuals everywhere. Being able to be a Drag Queen at your employer is not something taken for granted by God. We are a minority and we need support from straight allies!&quot;

This support exists at EBCONT as well, where they show understanding and solidarity for the rights and equality of LGBTIQ+ (Lesbian, Gay, Bisexual, Transgender, Intersex, Queer, and others) individuals. They actively fight against discrimination and advocate for the recognition and acceptance of LGBTIQ+ people in society.

&nbsp;

EBCONT Pride Boot 2024

,,Pride ship ahoy!" was the call at the end of June on the Vienna Danube towards Greifenstein. This year, Danube cruise ship MS Kaiserin Elisabeth became the exclusive venue for the monthly lounge event of the Austrian IT company EBCONT.

June 2024 – a clear sign from the EBCONT Pride Team!


Generative AI, particularly through the use of Large Language Models (LLMs), represents a significant leap forward in AI development. These models are capable of generating human-like text, making them valuable for a wide range of applications from chatbots to content creation. LLMs learn from vast amounts of data, allowing them to perform complex language tasks and provide sophisticated responses.

While Generative AI offers immense potential, it also brings challenges, with privacy being a paramount concern. Instead of exposing sensitive data to public websites or external sources, entities must ensure their data remains within their own secure environments. When LLMs are trained on public environments, there is a risk that data could be used to inadvertently learn and memorize confidential information, potentially leading to privacy breaches. Ensuring data privacy and compliance with regulations becomes a complex issue, necessitating advanced solutions to safeguard sensitive information.

The Revolutionary Impact of Generative AI

Retrieval-Augmented Generation (RAG) systems have emerged as a robust and widely embraced solution for tackling the privacy concerns inherent in LLMs. These systems combine the power of LLMs with vector search capabilities, enhancing their ability to retrieve and generate relevant information quickly and securely. RAG systems can transform ingested images, documents, and audio into embeddings, which are then represented with dense vectors. These vectors can be efficiently compared with user queries through similarity measures, ensuring that private data is not memorized by the model. RAG systems excel in indexing and searching large datasets, making them powerful tools for information retrieval.

However, vector-only RAG systems face significant limitations. They often struggle with bias, lack of context understanding, and the potential for inaccuracies in their responses, commonly referred to as &quot;hallucinations&quot;, issues that were already inherent in LLMs. Bias arises because these models can perpetuate the biases present in their training data, leading to skewed outputs that reflect existing patterns rather than objective and deterministic calculations. Furthermore, vector-only RAG systems have difficulty grasping nuanced meanings beyond textual information alone, lacking the deeper contextual understanding required for more complex reasoning.

These challenges stem from the complexities of natural language processing and the limitations of current algorithms, which may not always represent the full context and underlying relationships accurately. While vector-only RAG systems mitigate privacy concerns, we still require advancements in contextual understanding and bias reduction to fully realize the Generative AI potential.

The Strengths and Limitations of Vector RAG Systems

Graphs offer a compelling solution to the challenges faced by LLM-based and vector-only RAG systems. Unlike traditional data models, Graphs excel at representing and consolidating heterogeneous and interconnected knowledge from diverse business domains.&nbsp;

A key strength of Graphs is their ability to represent relationships between nodes - documents, concepts, entities - offering a holistic view of interconnected data points. This relationship structure allows for a more comprehensive understanding of the context and dependencies within the data, which is crucial for contextual reasoning and generating deterministic relevant responses.

Furthermore, leveraging Graphs can significantly reduce bias, as they incorporate a broader context and a more nuanced understanding of the relationships between data points. This helps in providing more balanced and unbiased outputs compared to traditional vector-only approaches. Additionally, Graphs enhance content relevance by ensuring that the information retrieved and used is contextually accurate and pertinent to the user query. They also maintain privacy more effectively by structuring data in a way that minimizes the exposure of sensitive information.

By addressing the limitations of vector-only RAG systems, Graphs offer a powerful framework for developing more transparent, interpretable, and responsible AI systems, ultimately leading to better decision-making.

The Unique Strengths of Graph Technology

Illustration of a complex international money laundering process. Funds are transferred from source accounts through multiple hops and participating accounts, facilitated by an offshore bank, before reaching the target accounts. The true value lies in the connections within the ecosystem, and Graph Analytics enhances fraud detection through comprehensive network tracing and analysis.

&nbsp;

A Graph serves as a perpetual hub of a business&#39;s expertise digitized, seamlessly integrating domain-human knowledge with enterprise processes data. By representing these two pillars of organizational intelligence in a structured and interconnected manner, Graphs become invaluable assets that can be leveraged across various business processes. This comprehensive digital blueprint of an organization allows businesses to:

<ul>
	<li style="list-style-type:disc">Preserve Expertise: Safeguard the specialized knowledge of experts, ensuring that critical information is not lost due to employee turnover or organizational changes.</li>
	<li style="list-style-type:disc">Enhance Decision-Making: Provide decision-makers with a holistic view of interconnected data points, enabling more informed and strategic choices.</li>
	<li style="list-style-type:disc">Optimize Processes: Streamline and improve business processes by integrating contextual knowledge into everyday operations, from customer service to product development.</li>
	<li style="list-style-type:disc">Support Innovation: Foster innovation by making it easier to identify patterns, correlations, and opportunities within the vast amounts of data that businesses generate.</li>
</ul>

By leveraging Graphs, organizations can ensure that their accumulated expertise and integrated data assets continue to drive value and innovation. This digital transformation not only enhances the efficiency and effectiveness of business operations but also ensures that the organization&#39;s knowledge remains an enduring and dynamic asset.

A Graph as the Digital Business Intelligence Hub

Graphs are already making a tangible impact across various industries. By leveraging the unique strengths of Graphs, organizations can address specific challenges with precision and reliability. Here are some key verticals where this technology is transforming operations:

Making Faster Decisions

Graphs enable more agile and informed decision-making by providing a comprehensive view of interdependencies and relationships. Key applications include:

<ul>
	<li style="list-style-type:disc">Digital Twins: Creating digital replicas of physical assets with detailed interdependencies, enabling better monitoring, simulation, and optimization of operations.</li>
	<li style="list-style-type:disc">Supply Chain Management: Enhancing visibility across the supply chain by mapping out complex relationships between suppliers, manufacturers, and the natural interdependencies of products and their components. This leads to more efficient and responsive supply chain operations.</li>
	<li style="list-style-type:disc">Inventory Management: Optimizing inventory levels and reducing waste by understanding the relationships and dependencies between different inventory items and their usage patterns.</li>
</ul>

&nbsp;

Deepening Personalization

For customer-centric businesses, Graphs enhance personalization and customer engagement by providing deeper insights into customer behavior and preferences. Applications in this vertical include:

<ul>
	<li style="list-style-type:disc">Product and Service Recommendations: Analyzing purchase patterns and user behavior to deliver highly personalized product and service recommendations, improving customer satisfaction and sales.</li>
	<li style="list-style-type:disc">Customer 360: Building comprehensive, 360-degree profiles of customers by integrating data from various touchpoints, enabling more personalized and effective customer interactions.</li>
	<li style="list-style-type:disc">Customer Insights: Gaining deeper insights into customer preferences and behaviors, allowing businesses to tailor their strategies and offerings to meet the unique needs of their customers.</li>
</ul>

&nbsp;

Uncovering Hidden Networks

Graphs can uncover hidden networks and relationships that are crucial for detecting and preventing fraudulent activities. The applications include:

<ul>
	<li style="list-style-type:disc">Fraud Detection: By analyzing complex transaction networks, Graphs can identify unusual patterns and suspicious activities, enhancing the accuracy of fraud detection systems.</li>
	<li style="list-style-type:disc">Entity Resolution: Graphs can consolidate data from various sources to resolve ambiguities and correctly identify entities, improving data quality and reliability.</li>
	<li style="list-style-type:disc">Know Your Customer: Enhancing KYC processes by integrating diverse data points to build comprehensive profiles of customers, ensuring compliance and reducing risk.</li>
	<li style="list-style-type:disc">Anti-Money Laundering: Identifying and analyzing intricate financial networks to detect and prevent money laundering activities, ensuring regulatory compliance and safeguarding financial institutions.</li>
</ul>

Solving Real-World Problems with Graphs

The integration of Graphs with Generative AI creates a powerful synergy, hereby defined as Augmented Intelligence. This approach enhances GenAI systems by providing contextualized business reasoning, leading to interpretable, explainable, and ethically responsible AI outcomes. Moreover, it democratizes access to data-driven insights, ensuring that the users can comprehend and leverage them effectively.

Graphs improve contextual understanding by capturing relationships between entities, which enables AI systems to retrieve contextually relevant information from diverse knowledge sources. This enriched context enhances the relevance and accuracy of AI responses, making the systems more effective in handling complex queries and providing valuable insights and enabling users to ask direct queries and receive complete answers based on the enterprise data landscape. Drawing on verified and specialized knowledge sources, AI delivers more accurate and relevant information crucial for decision-making processes.

By combining the strengths of Graphs with the generative power of LLMs, organizations can develop AI systems that not only perform exceptionally well but also adhere to high standards of transparency and ethical responsibility. This synergy supports better decision-making, strategic planning, and operational efficiency, ultimately leading to more informed and reliable outcomes.

Augmented Intelligence: Combining Graphs with Generative AI

Implementing the advanced approach of combining Graphs with Generative AI involves a well-defined data governance pipeline. This process ensures that data is accurately integrated, contextually enriched, and ethically managed. The key components of this pipeline include:

<ol>
	<li style="list-style-type:decimal">Data Integration from Domain Experts:
	<ol>
		<li style="list-style-type:lower-alpha">Collection: Gather data from various sources, including databases, documents, and expert knowledge.</li>
		<li style="list-style-type:lower-alpha">Normalization: Standardize data formats to ensure consistency and compatibility.</li>
		<li style="list-style-type:lower-alpha">Validation: Verify the accuracy and reliability of the data through domain-experts review and automated checks.</li>
		<li style="list-style-type:lower-alpha">Annotation: Enrich the data with metadata and annotations that capture domain-specific knowledge and nuances.</li>
	</ol>
	</li>
	<li style="list-style-type:decimal">Graph Creation:
	<ol>
		<li style="list-style-type:lower-alpha">Modeling: Design the schema of the Graph to represent entities, relationships, and attributes relevant to the domain.</li>
		<li style="list-style-type:lower-alpha">Population: Ingest data into the Graph, linking entities and establishing relationships based on the schema.</li>
		<li style="list-style-type:lower-alpha">Optimization: Optimize the Graph for performance, ensuring efficient querying and retrieval of information.</li>
		<li style="list-style-type:lower-alpha">Maintenance: Regularly update and refine the Graph to incorporate new data and improve accuracy.</li>
	</ol>
	</li>
	<li style="list-style-type:decimal">Vector Search Integration:
	<ol>
		<li style="list-style-type:lower-alpha">Embedding Generation: Convert text, images, documents, and audio into high-dimensional vector embeddings using machine learning models.</li>
		<li style="list-style-type:lower-alpha">Indexing: Organize these embeddings in a vector database to enable fast and efficient similarity searches.</li>
		<li style="list-style-type:lower-alpha">Query Processing: Implement algorithms to compare user queries with the indexed embeddings, retrieving the most relevant information.</li>
		<li style="list-style-type:lower-alpha">Relevance Tuning: Continuously refine the search algorithms to improve the relevance and accuracy of search results.</li>
	</ol>
	</li>
	<li style="list-style-type:decimal">Application of Language Models:
	<ol>
		<li style="list-style-type:lower-alpha">Model Selection: Choose appropriate LLMs that can interact with the Graph and vector search systems.</li>
		<li style="list-style-type:lower-alpha">Fine-Tuning: Customize the LLMs to align with the specific requirements and contexts of the enterprise.</li>
		<li style="list-style-type:lower-alpha">Integration: Seamlessly integrate the LLMs with the Graph and vector search to enable enriched and context-aware responses.</li>
		<li style="list-style-type:lower-alpha">Monitoring: Continuously monitor the performance of the models, ensuring they deliver accurate and reliable outputs.</li>
	</ol>
	</li>
	<li style="list-style-type:decimal">User Experience:
	<ol>
		<li style="list-style-type:lower-alpha">Interface Design: Develop user-friendly interfaces that allow users to interact with the system easily and intuitively.</li>
		<li style="list-style-type:lower-alpha">Personalization: Implement features that personalize the user experience based on individual preferences and behavior.</li>
		<li style="list-style-type:lower-alpha">Feedback Mechanisms: Incorporate feedback loops that allow users to provide input on the system&rsquo;s performance, which can be used to make ongoing improvements.</li>
		<li style="list-style-type:lower-alpha">Training and Support: Provide training and support to users to ensure they can effectively utilize the system and understand its capabilities.</li>
	</ol>
	</li>
</ol>

Enterprise-Ready Implementation

The integration of Graph Technology with Generative AI represents a transformative step in AI development. By addressing critical challenges in privacy, bias, and contextual understanding, this approach enhances the transparency and responsibility of AI systems. As we advance, the continued focus on these principles will ensure that AI remains a force for positive and ethical progress in our data-driven world. The Graph will be at the heart of this transformation, providing a stable foundation for leveraging human expertise in every aspect of business operations. This synergy of advanced AI and structured knowledge will pave the way for more reliable, responsible, and innovative solutions in the future.

&nbsp;

Conclusion

In today's data-driven world, Artificial Intelligence (AI) is transforming industries by providing unprecedented capabilities in automation, prediction, and decision-making. However, as we integrate AI systems more deeply into our lives and businesses, the need for explainability, interpretability, and ethical responsibility becomes critical. This article written by Diogo Braga, Machine Learning Expert at EBCONT explores why leveraging Graphs can enhance these aspects, creating a more reliable and ethical AI landscape.

Why Graph Technology for AI Reasoning

In the realm of data management and analysis, spreadsheets have long been a go-to tool for businesses of all sizes. However, what starts as a simple solution can quickly evolve into a tangled web of complexity, leading to what is commonly referred to as technical debt. This accumulation of shortcuts, quick fixes, and inefficient practices can hinder productivity, scalability, and overall performance. So, how do we address this issue and reduce the burden of technical debtt.

<h4>One effective strategy is to deconstruct complex spreadsheets into well-structured data models. By transitioning from the ad-hoc nature of spreadsheets to a more standardized and scalable architecture, businesses can mitigate technical debt and pave the way for smoother operations. Let&#39;s explore this approach through two real-world scenarios:</h4>

Client 1: The Web Agency 
Imagine a scenario where a web agency compensates its sales team based on commissions. To manage this process, they rely on a bidirectional spreadsheet where account managers input various metrics to calculate their compensation. However, as the agency grows, so does the complexity of the spreadsheet. Each account manager has unique objectives and cost points, resulting in a convoluted and difficult-to-maintain system. 
By converting this spreadsheet into a well-understood data model, the agency can streamline the commission calculation process. Implementing a standardized architecture allows for clearer data management, easier scalability, and reduced maintenance overhead. Account managers can still input their metrics, but the system ensures consistency and reliability, mitigating the risks associated with technical debt.

<h4>Client 2: The Security Matrix</h4>

Another common scenario involves using spreadsheets as security matrices for applications. Initially effective for managing a limited number of users and roles, these spreadsheets become unwieldy as the application scales. Clients may find themselves hiding numerous columns to navigate the complexities of user permissions, leading to confusion and inefficiency. 
By transitioning to a structured data model for managing security permissions, businesses can regain control over their access control mechanisms. Hierarchical relationships and complex configurations can be more effectively modeled and managed, improving both security and usability. By addressing the underlying technical debt, businesses can ensure that their systems remain robust and adaptable in the face of change.

Cutting Technical Debt: Transform Spreadsheets into Data Models

Technical debt inside of common applications and documents&nbsp; is a hidden cost that can accumulate over time, weighing down businesses and stifling innovation. By converting spreadsheets into well-structured data models, organizations can untangle the complexities of their systems and pave the way for smoother operations. Whether it&#39;s commission calculations or security management, embracing change and investing in efficient data architectures are essential steps towards reducing technical debt and ensuring long-term success.

Concluding on Technical Debt: Embrace Structured Data Models

In the realm of data management and analysis, spreadsheets have long been a go-to tool for businesses of all sizes. However, what starts as a simple solution can quickly evolve into a tangled web of complexity, leading to what is commonly referred to as technical debt. This accumulation of shortcuts, quick fixes, and inefficient practices can hinder productivity, scalability, and overall performance. So, how do we address this issue and reduce the burden of technical debt?

<h4>Converting Spreadsheets to Data Models</h4>

One effective strategy is to deconstruct complex spreadsheets into well-structured data models. By transitioning from the ad-hoc nature of spreadsheets to a more standardized and scalable architecture, businesses can mitigate technical debt and pave the way for smoother operations. Let&#39;s explore this approach through two real-world scenarios:

Client 1: The Web Agency 
Imagine a scenario where a web agency compensates its sales team based on commissions. To manage this process, they rely on a bidirectional spreadsheet where account managers input various metrics to calculate their compensation. However, as the agency grows, so does the complexity of the spreadsheet. Each account manager has unique objectives and cost points, resulting in a convoluted and difficult-to-maintain system. 
By converting this spreadsheet into a well-understood data model, the agency can streamline the commission calculation process. Implementing a standardized architecture allows for clearer data management, easier scalability, and reduced maintenance overhead. Account managers can still input their metrics, but the system ensures consistency and reliability, mitigating the risks associated with technical debt.

<h4>Client 2: The Security Matrix</h4>

Another common scenario involves using spreadsheets as security matrices for applications. Initially effective for managing a limited number of users and roles, these spreadsheets become unwieldy as the application scales. Clients may find themselves hiding numerous columns to navigate the complexities of user permissions, leading to confusion and inefficiency. 
By transitioning to a structured data model for managing security permissions, businesses can regain control over their access control mechanisms. Hierarchical relationships and complex configurations can be more effectively modeled and managed, improving both security and usability. By addressing the underlying technical debt, businesses can ensure that their systems remain robust and adaptable in the face of change.

<h4>Technical debt inside of common applications and documents&nbsp; is a hidden cost that can accumulate over time, weighing down businesses and stifling innovation. By converting spreadsheets into well-structured data models, organizations can untangle the complexities of their systems and pave the way for smoother operations. Whether it&#39;s commission calculations or security management, embracing change and investing in efficient data architectures are essential steps towards reducing technical debt and ensuring long-term success.</h4>

Straddling the line between the ambitious visions we see in the media and the reality of delivering actionable data insights can feel like navigating a maze. But fear not! EBCONT is here to roll up his sleeves and tackle some of the hurdles you might face in today's IT world.
In this series, we're diving deep into the trenches, shedding light on the real-world  challenges and presenting practical solutions. Here comes no 3 of our blog post series!


The Burden of the Magic Spreadsheet

Thomas Mantsch, proud site manager, and EBCONT CEO Johannes Litschauer were pleased about the many visitors at the new EBCONT hub at Marktplatz 1.

In 2008, the first &quot;real Pinkafelder&quot; came on board at the up-and-coming IT family business, then based in Neulengbach, Lower Austria, and many more were to follow. Currently, we count more than 20 colleagues who either come directly from the Burgenland hub or have successfully graduated from the HTL Pinkafeld and have thus left a sustainable and positive footprint at EBCONT for many years.

&nbsp;

So sustainable that we opened our first branch office in sunny Burgenland in September of this year, so that we can be even closer to our future applicants and bring our active colleagues their professional home to their doorstep.

Thus EBCONT stands with 9 locations!

<a href="https://web.ebcont.com/unternehmen/Pinkafeld">https://web.ebcont.com/unternehmen/Pinkafeld</a>

September 8th marks a new era in EBCONTs history. Our new location in Pinkafeld, Burgenland, was ceremoniously opened in bright sunshine in the city center of this traditional school town with politicians, representatives of the local HTL and FH, media, partners and lots of guests from the EBCONT family.


EBCONT IT opens in beautiful Pinkafeld!


Turn your data into strategic resources with EBCONT's AI and data science services. Leverage our expertise in artificial intelligence and data science to analyze complex data and develop innovative solutions.

AI and Data Science Services

Enhance your business processes with EBCONT's AI products. From anomaly detection and semantic search to cloud-based AI solutions - we offer advanced technologies for precise data analysis and efficient automation.

AI Products

Boost your decision making with EBCONT's big data solutions. We offer customized data architectures specifically designed to scale and secure your enterprise data.

Big Data

Search and Semantics

Unlock the full potential of your data with EBCONT's AI, big data and search solutions. Our experts help you analyze big data and implement intelligent search technologies to deliver valuable insights and better decisions.

Use EBCONT's big data services for scalable data storage and pattern recognition to drive the digitalization of your business through advanced analytics methods such as machine learning and geospatial analytics.

AI, Big Data and Search

Optimize your data management strategy with EBCONT's customized database solutions, which include both relational and NoSQL systems to ensure maximum performance and scalability.

Database

EBCONT delivers customized software solutions and comprehensive consulting on the integration of standard software to efficiently drive your digital transformation.

Benefit from EBCONT's expertise in Java and .net development and microservice architectures to create robust enterprise applications that drive your digital transformation.

Enterprise Applications

EBCONT develops customized mobile apps that optimize your business processes, from marketing apps to business applications, supported by seamless integration services.

Mobile Apps

Development

EBCONT improves your IT projects through comprehensive test management services ranging from cost reduction to time savings, supported by innovative, scalable solutions.

EBCONT supports your software projects with specialized performance and security tests to identify risks at an early stage and manage them effectively.

Last, Performance, Security

Benefit from EBCONT's software testing services to effectively optimize your projects, from test analysis to the selection of suitable QA tools.

Software Test

Discover advanced test automation at EBCONT, tailored to your specific requirements to increase software quality and accelerate testing processes.

Test Automation

Improve the quality of your IT projects with strategic test management from EBCONT, which includes quality audits and efficient test environments.

Test Management

Quality Assurance

Benefit from EBCONT's comprehensive expertise in usability testing to make your developments target group-oriented and user-friendly.

Usability Testing

Space to evolve and develop, diverse projects, flexible working hours and a state-of-the-art tech pack are only some of the EBCONT benefits that we agree on with each and every individual.

Benefits

Colleagues report

Start your career now.
We are looking for people who love challenges and want to develop with us.


Many nationalities, a clear focus on women, LGBTIQ+ activities and freedom for development make us what we are as a team.

Diversity, LGBTIQ, Diversity Charta, Diversität, Gleichberechtigung, Akzeptanz

Diversity Charta

Diversity

Job Detail

Job offers

Sustainability begins with the employees, goes through careful doing to e-mobility and IT.

Sustainability

Career

Digital is now.

Treffen Sie das Team von SiteFusion ProConsult LLC - unserem erfolgreichen US Joint Venture - auf der Londoner Buchmesse 2024 und entdecken Sie unsere intelligenten Lösungen für strukturierten Content und adaptive Workflows.

London Book Fair 

In a world shaped by ChatGPT and artificial intelligence, businesses encounter complex challenges in handling service tasks. This article not only illustrates how companies can address these challenges but also introduces an innovative solution with RAG and SquirroGPT. Explore how Squirro not only masters complex structures in documents but also ensures data privacy and transparency.

How to automate your Service Management with RAG and SquirroGPT

Burning soles and tired, yet content. No, I haven’t run a half-marathon. I spent a day accompanying a mail carrier from my district on their route.

A day as a postwoman

We are excited to announce the inauguration of our 11th branch, this time in St. Pölten. With this step, we enhance our local presence and bring ourselves even closer to our customers in this flourishing region.


EBCONT IT opens its doors in St. Pölten

Since the introduction of Chat GPT at the latest, digitalization and artificial intelligence in particular have arrived in the middle of society and have thus become tangible and applicable for the general public without dedicated AI knowledge.

EBCONT shows the benefits of AI in practical use.


It was a very successful three days for EBCONT and the SiteFusion ProConsult team at the Frankfurt Book Fair 2023 last October. The invitingly designed exhibition stand was besieged by numerous interested guests every day and it was great to see how our company's solutions and services aroused so much interest among the public.


EBCONT rocks at Frankfurt Book Fair 2023

"Customer Experiences in the Spotlight" is the new motto at EBCONT. For many years, companies like Schrack Seconet or KSV1870 have been working in partnership with our teams. The secret to success lies in sustainability and tailor-made solutions.


KSV1870 and Schrack Seconet – Customers in the spotlight

On November 9, 2023, three winners from a record number of 39 submissions were honored at a festive gala. And EBCONT more than deservedly took home the victory in the "large company" category.


EBCONT wins the Austrian Diversity Award Meritus!


EBCONT has grown organically and healthily over the last few years. New colleagues from over 40 nations are part of the team.
But new things are also being created regionally and internationally.

Spotlight on our EBCONT locations


"Customer Experiences in the Spotlight" is the new motto at EBCONT. For many years, companies like Schrack Seconet or KSV1870 have been working in partnership with our teams. The secret to success lies in sustainability and tailor-made solutions.

Customers in the spotlight – Successful together for many years

Pride ship ahoy!" was the motto on the Vienna Danube Canal this Thursday. This week, the MS Vindobona became the exclusive venue for the monthly lounge event of the Austrian IT company EBCONT.

EBCONT Pride Team goes on board!

There are many external consultants, but what about their reputation and who are the best?


EBCONT named Top IT Consultant 2023

EBCONT group - top 3 IT service provider in Austria - strengthens with immediate effect with Claudia Fischer as CFO and Markus Stangl as COO the management CEO trio around Johannes Litschauer, Alexander Deles and Leopold Machacek.



EBCONT group - a new era of corporate management

Women@EBCONT Day 2023

We were awarded the kununu Top Company seal again- this means that we are among the top 5% of the most employee-friendly companies in Germany, Austria and Switzerland!


We did it again! EBCONT is again top employer of 2023.

Ukraine – It's the people that count


Full EBCONT focus on digital accessibility with experts, training and lectures.


What accessibility has to do with IT

Sustainability with a focus on our people

Let’s talk about Health@EBCONT

Under the EBCONT flag, YOU ARE EPIC is a new advertising platform that is actually much more than that and also makes the world a little better!

YOU ARE EPIC at the Gamescom 22

Women in the IT industry must be encouraged, so we as a company want to send a clear signal and help women to become more empowered.

We support strong Women@EBCONT


EBCONT was voted one of the top IT service providers in Austria and is therefore one of the best employers in Austria.

EBCONT was ranked TOP employer 2022 for the third time in a row and one of the top IT service providers in Austria!

“The Scrum Master is accountable for establishing Scrum as defined in the Scrum Guide. They do this by helping everyone understand Scrum theory and practice, both within the Scrum Team and the organization.”
[Scrum Guide, 2020]

5 Tips for Scrum Masters


June is Happy Pride Month. And this year we are clearly flying the flag again.
Since the end of last week, just in time for the Rainbow Parade in Vienna, part of the EBCONT offices, namely the 34th floor of the Millennium Tower in Vienna, has been illuminated in rainbow colours.

EBCONT celebrates Pride and lets the Millennium Tower shine in rainbow colours

In autumn 2021, the Federal Ministry of Justice (BMJ) will finally implement the overall concept developed together with the Austrian IT specialist EBCONT for the automated processing of legal documents and, in particular, their automated anonymization. This is a milestone towards the efficient processing as well as an improvement of the data protection standards of legal documents. The Austrian IT company EBCONT was able to professionally accompany the process as a long-term competent partner with extensive knowledge of both data science and machine learning.

EBCONT succeeds in LegalTech: how the combination of heuristic and AI methods can enrich legal documents

A comparison of currently available tools and methods by Niklas Großmann.

Accessibility & AI: Generating Alt Texts for Images with LLMs? 

Salzburg, June 19, 2024 - EBCONT, a major player in the Austrian IT services industry, continues its success story by opening a brand-new location in Salzburg. With over 700 employees and more than 120 satisfied customers from various sectors – including the public sector – EBCONT offers tailored IT solutions and covers the entire lifecycle of IT projects. Our AI and data science professionals bring the latest technologies directly into our customers' projects.

EBCONT conquers Salzburg: IT power now also in Austria´s cultural capital.

We are pleased to announce that plusserver, one of the leading German cloud providers, is now a partner of EBCONT. plusserver operates four of its own data centers in Germany and stands for European sovereignty and data independence.


German cloud provider plusserver new partner of EBCONT


Straddling the line between the ambitious visions we see in the media and the reality of delivering actionable data insights can feel like navigating a maze. But fear not! EBCONT is here to roll up his sleeves and tackle some of the hurdles you might face in today's IT world.
In this series, we're diving deep into the trenches, shedding light on the real-world  challenges and presenting practical solutions. Here comes no 2 of our blog post series!

Navigating the Pitfalls of Dashboard Design: Enhancing Business Intelligence Success

Straddling the line between the ambitious visions we see in the media and the reality of delivering actionable data insights can feel like navigating a maze. EBCONT is here to tackle some of the hurdles you might face in today's IT world.
In this series, we're diving deep into the trenches, shedding light on the real-world challenges and presenting practical solutions. Whether it's taming unruly data sets or optimizing your IT infrastructure, EBCONT has a roadmap to guide you.

Unlocking Data Unity: Strategies to Tackle the Disconnect Dilemma

Looking for attractive employers? The ,,Salary Satisfaction” ranking by the German SZ Institute in collaboration with kununu provides guidance on which companies truly impress their employees. kununu, in partnership with the Süddeutsche Zeitung (SZ), has identified the top companies in Germany and Austria with the "Top Salary Satisfaction 2024" ranking. We are proud to be among Austria's top 10!

EBCONT IT opens in beautiful Pinkafeld!

Ilse Merkinger-Boira

More articles

Ilse Merkinger-Boira

Gregor Sieber

Gregor Sieber