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+++ b/.gitignore
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/node_modules
/.pnp
.pnp.js
+.docusaurus
# testing
/coverage
diff --git a/blog/2023-03-21-the-4th-industrial-revolution.md b/blog/2023-03-21-the-4th-industrial-revolution.md
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----
-title: The 4th Industrial Revolution
-authors: ferid
-tags: [industrial-revolution, technology]
----
-
-The 4th Industrial Revolution heralds a new era of technological fusion, where the boundaries between physical, digital, and biological realms blur. This revolution is defined by groundbreaking advancements in artificial intelligence, robotics, IoT, 3D printing, blockchain, and biotechnology. From AI-driven automation to the Internet of Things connecting our devices, the impacts are far-reaching. Jobs are transforming, businesses are digitizing, and ethical considerations are paramount. As we navigate this era, understanding the key technologies and their societal impacts becomes crucial. Let's delve into the essence of this transformative revolution and its implications for our future.
-
-
-
-In recent years, there has been a dispute regarding whether we have already entered the 4th industrial revolution.
-Obviously, the 3rd industrial revolution that started in 1969 was characterized by the formation and rise of
-electronics, computers, the internet, and automated production. Reflecting on the latest developments, since that time
-period, is it too early to say that we achieved enough to consider being in the 4th industrial revolution? The idea
-behind this article is to discover the recent singular and collective achievements of humans. We will dive into various
-technologies that are currently being used in the world of business as well as science, in order to discover new
-concepts that might define our future.
\ No newline at end of file
diff --git a/blog/2023-03-22-introduction-to-the-4th-industrial-revolution.md b/blog/2023-03-22-introduction-to-the-4th-industrial-revolution.md
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----
-title: Introduction to the 4th Industrial Revolution
-authors: ferid
-tags: [industrial-revolution, technology]
----
-
-The 4th Industrial Revolution heralds a new era of technological fusion, where the boundaries between physical, digital, and biological realms blur. This revolution is defined by groundbreaking advancements in artificial intelligence, robotics, IoT, 3D printing, blockchain, and biotechnology. From AI-driven automation to the Internet of Things connecting our devices, the impacts are far-reaching. Jobs are transforming, businesses are digitizing, and ethical considerations are paramount. As we navigate this era, understanding the key technologies and their societal impacts becomes crucial. Let's delve into the essence of this transformative revolution and its implications for our future.
-
-
-
-The **4th Industrial Revolution** is characterized by the fusion of technologies that blur the lines between the physical, digital, and biological spheres. This revolution is marked by breakthroughs in fields such as artificial intelligence, robotics, the Internet of Things (IoT), 3D printing, genetic engineering, quantum computing, and more.
-
-## Key Technologies of the 4th Industrial Revolution
-
-- **Artificial Intelligence (AI)**: Machines and systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
-
-- **Internet of Things (IoT)**: The interconnection of everyday objects via the internet, enabling them to send and receive data. This includes smart devices, wearables, home automation systems, and industrial sensors.
-
-- **Robotics**: Advanced robots and robotic systems that can automate processes in industries ranging from manufacturing to healthcare. Collaborative robots (cobots) are designed to work alongside humans, enhancing efficiency and safety.
-
-- **Blockchain**: A decentralized, secure, and transparent system of recording transactions. It has applications in finance, supply chain management, healthcare, and more.
-
-- **3D Printing**: Additive manufacturing technology that creates objects layer by layer from digital designs. This enables rapid prototyping, customized production, and cost-effective manufacturing.
-
-- **Biotechnology and Genetic Engineering**: Innovations in manipulating biological systems at the molecular level, leading to advances in healthcare, agriculture, and environmental sustainability.
-
-## Impacts on Society and Economy
-
-The 4th Industrial Revolution has profound implications for society, the economy, and the workforce:
-
-- **Job Transformation**: Automation and AI are changing the nature of work, creating new job roles while rendering some traditional roles obsolete. Upskilling and reskilling are crucial for individuals to thrive in this new era.
-
-- **Digital Transformation**: Businesses across industries are embracing digital technologies to improve efficiency, customer experiences, and innovation.
-
-- **Ethical and Social Challenges**: Issues such as data privacy, cybersecurity, algorithmic bias, and the digital divide require careful consideration and regulation.
-
-## Conclusion
-
-As we navigate the complexities of the 4th Industrial Revolution, it is essential to harness these technologies for the benefit of all. Collaboration between governments, businesses, academia, and communities will be key to shaping a future that is inclusive, sustainable, and innovative.
\ No newline at end of file
diff --git a/blog/2023-03-23-case-studies-in-the-4th-industrial-revolution.md b/blog/2023-03-23-case-studies-in-the-4th-industrial-revolution.md
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----
-title: Case Studies in the 4th Industrial Revolution
-authors: ferid
-tags: [industrial-revolution, case-studies, technology]
----
-
-Embarking on a journey through case studies, we witness firsthand the transformative power of the 4th Industrial Revolution. Smart manufacturing plants hum with the integration of IoT sensors and AI analytics, optimizing efficiency. Biotechnology revolutionizes healthcare, offering tailored treatments through gene editing and personalized medicine. Precision farming, empowered by data analytics, reshapes agriculture for sustainability. Meanwhile, autonomous vehicles promise a future of efficient, safe urban mobility. These cases illuminate the tangible impacts of advanced technologies across industries. Join us as we explore these innovations, their implementations, and the promising future they pave in this era of industrial revolution.
-
-
-
-## 1. Smart Manufacturing with IoT and AI
-
-In the manufacturing sector, the integration of IoT sensors and AI-driven analytics has revolutionized operations. Factories equipped with IoT devices can collect real-time data on machinery performance, production rates, and inventory levels. AI algorithms analyze this data to predict maintenance needs, optimize production schedules, and reduce downtime. Companies like Siemens and Bosch are leading the way in smart manufacturing solutions.
-
-## 2. Healthcare Innovations through Biotechnology
-
-Advances in biotechnology are transforming healthcare delivery and patient outcomes. Gene editing technologies such as CRISPR-Cas9 offer precise treatments for genetic disorders. Personalized medicine, enabled by genomic sequencing and AI analysis, tailors treatments to individual patients. Startups like Tempus and 23andMe are at the forefront of these medical breakthroughs.
-
-## 3. Sustainable Agriculture with Precision Farming
-
-The agricultural sector is embracing precision farming techniques powered by IoT and data analytics. Farmers use drones and satellite imagery to monitor crop health, soil conditions, and water usage. AI algorithms provide insights into optimal planting times, fertilizer application, and pest control. This data-driven approach enhances yields, reduces waste, and promotes sustainable farming practices.
-
-## 4. Urban Mobility with Autonomous Vehicles
-
-Cities worldwide are exploring autonomous vehicles (AVs) to improve transportation efficiency and reduce emissions. AVs, equipped with AI navigation systems and sensors, can optimize routes and respond to traffic conditions in real time. Companies like Waymo and Tesla are testing self-driving cars that promise safer and more accessible urban mobility solutions.
-
-## Conclusion
-
-These case studies highlight the transformative power of the 4th Industrial Revolution across various sectors. From smart manufacturing to personalized healthcare and sustainable agriculture, innovative technologies are reshaping industries and improving lives.
diff --git a/blog/2023-03-24-challenges-and-opportunities-of-the-4th-industrial-revolution.md b/blog/2023-03-24-challenges-and-opportunities-of-the-4th-industrial-revolution.md
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----
-title: Challenges and Opportunities of the 4th Industrial Revolution
-authors: ferid
-tags: [industrial-revolution, challenges, opportunities]
----
-
-Within the realm of the 4th Industrial Revolution lie both challenges and opportunities that shape our socio-economic landscape. Job displacement looms as automation and AI redefine work, highlighting the urgent need for upskilling. Concerns over data privacy and cybersecurity escalate as data becomes the new currency. Yet, amid these challenges, there are immense opportunities. Innovation flourishes, propelling economic growth and market competitiveness. Technologies promote sustainability, offering solutions for a greener future. Advancements in healthcare promise personalized treatments and improved access. As we navigate this landscape, understanding these dichotomies becomes pivotal for harnessing the potential of this transformative era.
-
-
-
-## Challenges
-
-### 1. Job Displacement and Skills Gap
-
-- **Automation** and **AI** technologies are expected to replace many routine tasks, leading to concerns about job displacement.
-- The **skills gap** between existing workforce capabilities and the skills demanded by new technologies poses challenges for individuals and businesses.
-
-### 2. Data Privacy and Security
-
-- The **collection** and **analysis** of vast amounts of data raise questions about **privacy** and **ethical use**.
-- **Cybersecurity** threats become more sophisticated, requiring robust defenses against data breaches and cyberattacks.
-
-### 3. Digital Inequality and Access
-
-- The **digital divide** widens as some communities lack access to **broadband** internet and essential technologies.
-- Ensuring **equitable access** to digital tools and education is crucial for inclusive growth.
-
-## Opportunities
-
-### 1. Innovation and Economic Growth
-
-- The 4th Industrial Revolution fosters **innovation** in products, services, and business models.
-- It drives **economic growth** through increased efficiency, productivity, and market competitiveness.
-
-### 2. Sustainable Development
-
-- Technologies like **IoT**, **renewable energy**, and **smart infrastructure** promote **sustainability** and **environmental conservation**.
-- The shift towards **green technologies** creates opportunities for **clean energy** and **resource efficiency**.
-
-### 3. Healthcare Advancements
-
-- Biotechnology and AI enable **personalized medicine** and **precision healthcare**.
-- Remote patient monitoring and telemedicine improve **healthcare access** and **patient outcomes**.
-
-## Conclusion
-
-The 4th Industrial Revolution presents a mix of challenges and opportunities for societies worldwide. Addressing issues of job displacement, data privacy, and digital inequality is crucial for inclusive growth. At the same time, embracing innovation, sustainability, and advancements in healthcare can lead to a brighter future for all.
\ No newline at end of file
diff --git a/blog/2026-05-05-docwire-returns.md b/blog/2026-05-05-docwire-returns.md
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+---
+title: Docwire - The Engine Behind Secure Data Pipelines
+authors: krzysztof
+tags: [C++20, technology, document processing, data security]
+---
+*“Persistence turns a bar of iron into a needle”*, Nguyễn Phan Quế Mai, *Dust Child*
+
+
+
+In the course of human history, there has not been a time like the present era when Information has become of paramount importance. As James Gleick observes in his book “The Information”, information is what our world runs on: the blood and the fuel, the vital principle. Information pervades all domains of science, transforming every branch of knowledge. And Information needs to be inferred in its purest form to act as Intelligence.
+
+Away from the noise, contemplating in silence, working through perseverance, Docwire SDK was being evolved into an infrastructure layer for modern data workflows to sustain the demands of modern-day information processing. The journey has been long and arduous but the result has been equally satisfying. And it is time we present to you the much more evolved Docwire SDK, along with anecdotes about the philosophy behind it and the direction forward.
+
+## The Invisible Engine
+Every interface we interact with is a surface level reality, but the entity itself is supported by an engine which remains invisible. The same is true for the virtual world. Some of the most important software is never seen. When you tap a payment card or rely on an embedded medical device, complex logic runs quietly in the background. Document processing plays a similar role in many systems — critical, yet hidden. And Docwire has been designed to serve exactly the same purpose. An engine that extracts, normalizes, and transforms unstructured documents into structured, usable data — locally, securely and reliably. And it still adheres to its “Plug and Play” philosophy. Developers integrate it once and it simply works! Only better this time, with support for more file formats and a fluent ingestion layer for building data processing pipelines.
+
+
+## What Changed since 2023
+We started this journey of evolving Docwire with following ideas as underlying philosophy:
+- Broader format support and improved parsing stability.
+- Supporting real-world usage in enterprise environments.
+- Deeper involvement in client projects as core processing layer.
+- Easy integrations with local LLM runtimes and AI pipelines.
+
+💡And with each execution, one insight (or intuition) became clear:
+*The need for secure and reliable data processing on local premises is increasing in the LLM era.*
+
+And this is where Docwire shines. Docwire is not simply AI-based or AI-driven, but AI-integrated SDK, which handles your document data processing requirements. It gives the user enough flexibility to process the data across various file formats and integrate it further with AI models of their choice, be it local or through APIs
+
+## From Files to Pipelines
+Docwire's evolution is not limited to supporting various file formats but integrating more workflows. In its inception, it was a file parsing tool and in its evolution, it is becoming a pipeline construction SDK with various tools at your disposal:
+Documents → Extraction → Normalization → Transformation → Output
+
+These pipelines can feed search, analytics, knowledge bases, or AI systems, often running entirely within controlled environments.
+This shift defines the next phase of DocWire.
+
+## Watch: The Invisible Engine Concept
+To explain this direction visually, we prepared a short concept video introducing DocWire as the invisible engine behind secure data pipelines.
+
+
+
+## What’s Next
+Now that we are back, look out for communications from the Docwire team frequently on this forum. We will start sharing:
+- Engineering deep dives
+- Integration experiments
+- Lessons from real deployments
+- Previews of upcoming features
+
+DocWire is evolving from an SDK toward a broader processing framework — and this space will document that journey.
+## Explore DocWire
+If you’re building systems that depend on reliable document processing or secure data pipelines, we invite you to explore:
+- [GitHub repository](https://github.com/docwire/docwire)
+- [Documentation](https://docwire.readthedocs.io/en/latest/)
+- [Recent releases](https://github.com/docwire/docwire/releases)
+
+Or simply reach out — we are always curious about what others are building behind the scenes, and eager to support the cause in any way possible.
diff --git a/blog/authors.yml b/blog/authors.yml
index 9aad571..ca0bcba 100644
--- a/blog/authors.yml
+++ b/blog/authors.yml
@@ -1,4 +1,5 @@
-ferid:
- name: Ferid Obeidat
- title: Author
- image_url: /img/Ferid-headshot.png
+krzysztof:
+ name: Krzysztof Nowicki
+ title: Chief Business Officer, Founder - Docwire
+ image_url: /img/kryz-headshot.png
+
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