In deze presentatie leest u over de volgende onderwerpen:
• Big Data in Real Life
• How to approach Big Data in general
• Why is the Unstructured part of Big Data important
• Typical scenario’s for the Unstructured Part of Big Data
• Different approaches for different scenarios
• Conclusion
This document compares the protocol composition frameworks Appia and Cactus. Both frameworks use a layered model with sessions/protocols that communicate through events. However, they differ in their composition, interaction, concurrency and environment interface models. An atomic broadcast service was implemented on both frameworks to compare performance and identify each framework's strengths and weaknesses. The conclusion is that an optimal new framework could combine the best aspects of both while also including additional features.
Wireless Application Protocol (WAP) allows devices to access the Internet over wireless networks. There are three main categories of protocols for managing shared access to wireless networks: fixed assignment, demand assignment, and random assignment. Fixed assignment divides resources like frequency bands or time slots and allocates them exclusively. Demand assignment allocates resources only to nodes that need them. Random assignment does not preallocate resources and relies on collision detection and retransmission to manage shared access. Common protocols that fall under these categories include FDMA, TDMA, CDMA, ALOHA, and CSMA.
This document discusses network topologies. It defines network topology as the physical or logical layout of a network, including how nodes are arranged and connected. There are two main types: physical focuses on device placement, while logical focuses on data transfer patterns. The six basic network topologies covered are bus, ring, star, tree, mesh, and hybrid. Each has its own unique structure for connecting nodes and routing data. Advantages and disadvantages of each type are provided.
Epic, GE Healthcare, 3M Health Vernieuwende Information Systems, Philips Healthcare en Infor Libraries en vele andere maken gebruik van de technologieën van InterSystems om zelf baanbrekende applicaties te ontwikkelen, te implementeren en te beheren.
Big data breakthroughs in healthcare: from re-active to pro-active careInterSystems Benelux
1. The document discusses how analyzing unstructured healthcare data through techniques like iKnow text analysis can help drive more proactive care by enabling early detection of conditions like hepatitis C, sepsis, and delirium from nursing notes.
2. Results show the approach achieved AUC scores of 0.801-0.823 for detecting delirium and 0.809-0.823 for detecting sudden patient deterioration using nursing notes, outperforming traditional bag-of-words methods.
3. Further research opportunities include analyzing more data, reducing the number of features through techniques like latent semantic indexing and autoencoders, and combining structured data with current prediction methods to improve early detection of conditions from clinical notes.
This document compares the protocol composition frameworks Appia and Cactus. Both frameworks use a layered model with sessions/protocols that communicate through events. However, they differ in their composition, interaction, concurrency and environment interface models. An atomic broadcast service was implemented on both frameworks to compare performance and identify each framework's strengths and weaknesses. The conclusion is that an optimal new framework could combine the best aspects of both while also including additional features.
Wireless Application Protocol (WAP) allows devices to access the Internet over wireless networks. There are three main categories of protocols for managing shared access to wireless networks: fixed assignment, demand assignment, and random assignment. Fixed assignment divides resources like frequency bands or time slots and allocates them exclusively. Demand assignment allocates resources only to nodes that need them. Random assignment does not preallocate resources and relies on collision detection and retransmission to manage shared access. Common protocols that fall under these categories include FDMA, TDMA, CDMA, ALOHA, and CSMA.
This document discusses network topologies. It defines network topology as the physical or logical layout of a network, including how nodes are arranged and connected. There are two main types: physical focuses on device placement, while logical focuses on data transfer patterns. The six basic network topologies covered are bus, ring, star, tree, mesh, and hybrid. Each has its own unique structure for connecting nodes and routing data. Advantages and disadvantages of each type are provided.
Epic, GE Healthcare, 3M Health Vernieuwende Information Systems, Philips Healthcare en Infor Libraries en vele andere maken gebruik van de technologieën van InterSystems om zelf baanbrekende applicaties te ontwikkelen, te implementeren en te beheren.
Big data breakthroughs in healthcare: from re-active to pro-active careInterSystems Benelux
1. The document discusses how analyzing unstructured healthcare data through techniques like iKnow text analysis can help drive more proactive care by enabling early detection of conditions like hepatitis C, sepsis, and delirium from nursing notes.
2. Results show the approach achieved AUC scores of 0.801-0.823 for detecting delirium and 0.809-0.823 for detecting sudden patient deterioration using nursing notes, outperforming traditional bag-of-words methods.
3. Further research opportunities include analyzing more data, reducing the number of features through techniques like latent semantic indexing and autoencoders, and combining structured data with current prediction methods to improve early detection of conditions from clinical notes.
The document discusses how analyzing social media data can provide actionable insights. It provides examples of how the company's social media analysis helped clients like Nespresso, Budweiser, and Nedbank understand consumer sentiment and make informed marketing decisions. The document also discusses how the company is able to generate these insights by analyzing big social media data in real-time using InterSystems technology to understand language. This allows them to produce business value from big data through actionable insights.
In deze presentatie leest u over de volgende onderwerpen:
• Attributes of Breakthrough Applications
• Some Examples of Breakthrough Applications
• Platform for Breakthrough Applications
• Breakthroughs in Information
• Free the Data: iKnow
InterSystems presentatie: Making sense of non-structured data in the medical ...InterSystems Benelux
In deze presentatie leest u over de volgende onderwerpen:
• Navigation through EPR
• Mapping to UMLS High Level Concepts
• Data Mining with DeepSee Advanced Analytics
InterSystems Presentatie: Breakthrough BI: analyzing all the dataInterSystems Benelux
In deze presentatie leest u over de volgende onderwerpen:
• Introduction: “All the Data”
• What is iKnow?
• iKnow and DeepSee
• Added value
• Feature overview
• Demo
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
The document discusses how analyzing social media data can provide actionable insights. It provides examples of how the company's social media analysis helped clients like Nespresso, Budweiser, and Nedbank understand consumer sentiment and make informed marketing decisions. The document also discusses how the company is able to generate these insights by analyzing big social media data in real-time using InterSystems technology to understand language. This allows them to produce business value from big data through actionable insights.
In deze presentatie leest u over de volgende onderwerpen:
• Attributes of Breakthrough Applications
• Some Examples of Breakthrough Applications
• Platform for Breakthrough Applications
• Breakthroughs in Information
• Free the Data: iKnow
InterSystems presentatie: Making sense of non-structured data in the medical ...InterSystems Benelux
In deze presentatie leest u over de volgende onderwerpen:
• Navigation through EPR
• Mapping to UMLS High Level Concepts
• Data Mining with DeepSee Advanced Analytics
InterSystems Presentatie: Breakthrough BI: analyzing all the dataInterSystems Benelux
In deze presentatie leest u over de volgende onderwerpen:
• Introduction: “All the Data”
• What is iKnow?
• iKnow and DeepSee
• Added value
• Feature overview
• Demo
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
2. Agenda
• Big Data in Real Life
• How to approach Big Data in general
• Why is the Unstructured part of Big Data important
• Typical scenario’s for the Unstructured Part of Big
Data
• Different approaches for different scenarios
• Conclusion
3. Big Data in real life
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What can you do with this ?
4. How to approach Big Data in general
Unstructured
Data
NLP/AI: domain independent
predictive
self learning
Structured
Data
Predictive Analytics:
performance
selectivity
OLAP/Cubes: no warehousing
adaptable
Storage: scalable
transactional
secure
5. Why Analyzing unstructured Data
Objectify and share internal
knowledge
experts
processes
Analyse market
size
needs
adoption drivers
Study customer
behavior
interest
opinion
6. Why Analyzing unstructured Data
Typical Knowledge worker activity/time break down
58 % of time is
spent on
collecting
various tasks
supported by
variety of tools
7. Why Analyzing unstructured Data
Structured versus Unstructured Data per Activity
Producing Useful Output
Planning and Meeting
Structured
Tracking Colleagues
Unstructured
information Search
email
0%
20%
40%
60%
80%
All knowledge oriented activities rely
heavily on unstructured data
100%
8. Why Analyzing unstructured Data
Time Spent on Structured / Unstructured Data
At least 85% of time is spent using or
creating unstructured data
9. Typical Scenario1 : Pile of data
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What to Words ? ?
Key search for
Beauty
How can you know what ‘s in
Ugliness
(because lasts)
here ?
Beauty
Gainsbourg
Serge Gainsbourg
10. Typical Scenario1 : Pile of data : iKnow
With iKnow you can create breakthrough applications
by leveraging knowledge hidden in unstructured text
you
with
iKnow
can
create
breakthrough
applications
based on
knowledge
hidden in
unstructured
text
11. Typical Scenario1: Implementation: iKnow
1 – Create a domain
: logical set of sources
Set up metadata
2 – Add Data
Create dictionaries,
match the data
:
use the appropriate lister and loader (converter)
Setup Filters
3 – Use the query API : queries for Entities, Dominance, Proximity Sources,
CRC’s, Summaries,
12. Typical Scenario 2: Clear Need but no Insight
InterSystems
Caché
Ensemble
iKnow
DeepSee
intersystems
HealthShare
TrakCare
Terry Ragon
Cambridge
1978
13. Typical Scenario 2: Clear Need but no Insight
SQLQuerying
Free
Text
Search
iKnow
iFind
14. Typical Scenario 2: Implementation: iFind
1 – Create an iFind index on %String or %Characterstream property
2 – Launch %BuildIndices($lb(“IndexName”)) in the case the class is
already populated
3 – Write the SQL queries of your choice
15. Typical Scenario 2: Implementation: iFind
Setup
// For any persistent class
Class User.Documents Extends %Persistent
{
Property text As %String(MAXLEN = "");
Index iText On (text) As %iFind.Index (INDEXOPTION = 3, LOWER = 1);;
//...
}
Use
Select id, text from SQLUser.Documents
Where %id %FIND SQLUser.Documents_iTextfind ('drives’)
16. Take Away: Unstructured part of Big Data
Concepts
Relations
Paths
iFind
Dominance
Proximity
Summaries
Attributes
Search+
Concepts
Relations
Paths
Dominance
Proximity
Summaries
Attributes
17. Conclusion
In big data the biggest part of the data is
unstructured
Most tools focus on structured data and size
matters
InterSystems technology integrates superb tools
for both structured and unstructured data
analytics in a secure transactional environment