How to share, retain and protect knowledge in the gig economy

The gig economy. The sharing economy. The collaborative economy.

Whichever name you opt for, ‘on-demand’ employment is changing the way we work. Uncertain economic times are forcing companies to constantly strive to achieve better productivity using fewer resources, shifting to a transactional model of using increasingly short term and less demanding forms of labour with contractors and gig workers. In order to cut costs, freelancers are seen as a favourable replacement for the ongoing commitment of full time employees, with many workers now finding themselves reluctantly working in the gig economy for want of secure, skilled positions.

But by regularly exchanging lasting employee development  for ‘pay as you go’ stop gaps, are companies losing the core of the wider strategy they wish to execute – the institutional knowledge that is embedded into the long term workforce and culture of an organisation?

The risk of frequent changeovers

These frequent changeovers at the front-line of a business means there is a risk that valuable knowledge is retained only at the top of the hierarchy. With so many gig workers now coming and going through the doors, temporary workers are bringing, and taking, knowledge which is just that – temporary. Every time a new joiner leaves again, knowledge is lost. The type of knowledge that is escaping can be categorised as that which can be written down, and that which can’t, the latter being the form that will simply ‘leak’ out of the organisation without better knowledge retention activity.

As such, is this ‘knowledge leakage’ negating our interest in fully training and engaging with temporary staff, knowing as we do that they will be leaving us shortly? Without emphasising the need to retain knowledge at ground level, no matter how long a contract is, independent workers become interchangeable, learning nothing of the institutional knowledge that is integral to the entire operation.

As well as discouraging us to impart value through knowledge, it may be that the use of gig workers isn’t giving us the ultimate value in receiving knowledge in return.

“Are you a giver or taker? Success is not about competition- it’s about contribution.” by Adam Grant

Adam Grant just recently gave a TED Talk about strategies to promote a culture of generosity and keep self-serving employees from taking more than their share. Watch here: TEDTalk

Contractors may be hired in a targeted manner based on the outcomes they can produce and the skills and experience they bring, but is such a short time frame limiting our ability to truly discover and utilise the extent of what our freelancers really know?

A centralised approach does not work

In this light, a centralised approach to document management does not work – our attempts must be to encourage our gig workers to be transparent in the sharing of their knowledge. Contractors are unlikely to submit their documents and ‘give away’ their knowledge to centralised areas where they have no control over the end user who accesses it once they have moved on. In this new sharing economy, it is essential to have the best systems at our disposal for efficient accessing, retrieval and transfer of the things we know, and the documents they’re stored in.

But it isn’t just external knowledge workers that need to be given the most relevant and practical tools for sharing their information within a gig economy. The most accurate insights and information are often to be found from within the company – the internal workforce and management structure that experience the product, customers and business transactions on a daily basis, over the course of years are likely to provide the best ideas for the progression of the organisation as a whole. When continually outsourcing for strategies and concepts, businesses run the risk of actually outsourcing all of their knowledge, and overlooking the assets of their own network of thinkers and employee intelligence. Ensuring that these resources are located and utilised correctly with transparent information sharing will allow organisations to keep institutional knowledge alive during a gig economy, and leverage the knowledge of in-house and temporary workers alike.

Noggle is the knowledge management solution that works with the gig economy.

In a contractor climate, you need document management software that suits the way we do business today, not yesterday. Noggle creates a secure peer network that syncs and connects disparate locations, so that locating and retrieving files is now the work of moments, not minutes, allowing you to make the most of the knowledge brought to you by freelancers and employees alike. Search and share new depths of content, and easily collaborate on inspiring ways of working. To see how Noggle could make a difference to the way that you manage the files that matter, install our free trial.

Internet of Things – Trends to Watch 2017


Additional material available via link at the bottom

Download Code: vy5jd1tu4up

Map name: Internet of Things – Trends to Watch 2017
Documents in collection: 1983
Total cluster count:101

Search Topic: “internet of things” or IOT
Used Libraries: Patents (EPO)

Top 5 Cluster:
1. Machine to Machine (133)
2. Antenna and second Antenna (99)
3. Computer Connection (99)
4. Chip Connects (96)
5. Controlling a Vehicle (93)

Detected Cluster Labels:
Machine to Machine, Antenna and second Antenna, Computer Connection, Chip Connects, Controlling a Vehicle, Integration platform is Disclosed, Internet of Things Platforms, Cloud Data, Switch Module, Connecting Plate, Lock Controlling, Management platform Server, Smart home based on Internet of Things, Controlling Smart, Lighting Modules, Smart home Service, Chip Module, Chip Controls, Controlling Electronic, Data of the Smart, Disclosed a Computing, Computer system Module, Network Node, Production Data, Production Process

Click here for detailed article and infographic

Background information, making-of and original material for download is available


Document management software: 5 smart ways to manage your files

5 smart ways to manage your files

We all use documents – documents that we store in a multitude of different places, and access in a variety of different ways. But having files spread across different locations can leave you struggling to find the content you need, when you need it, leading to a loss of valuable time and effort throughout your working day. Unfortunately, current document management software projects often fail.

Time spent searching for documents all adds up, so it’s important to make sure you’re managing your files as effectively as possible. Luckily, Noggle is on-hand to provide five simple solutions for getting your documents in order, and making the most of the knowledge that they contain.

1. Consider software that connects your content

Manually sorting, organising and locating files is a time-consuming and never-ending process – the best results for improved workflows are to be found by using dedicated document management software. Noggle connects all your file locations together, ensuring that whether your documents are in the cloud, on your desktop, attached to emails, or on the computer of a colleague, everything is instantly accessible, and easily shareable. No restructuring, reformatting or reorganising required.

2. Search for knowledge, not files

With Noggle, you’ll find more than just documents. Cognitive technology goes beyond simply retrieving files, but actively recommends new content based on your interests and needs. You’ll be shown a whole host of relevant and targeted results to support the content you’re searching for, and with external databases to search, such as Ted Talks libraries, you’ll discover much more than just documents.

3. Simple sharing in seconds

Once you’ve created a library of your documents, there’s a good chance that you’ll need to share your collection of files with others. But sharing a library of documents is about more than just passing on documents – it’s about communicating your knowledge, making your knowledge retrievable and encouraging others to communicate their knowledge with you. All of this without the need to share physical documents and or to manage “access rights”.

Whether you’re sending items to a co-worker, or collaborating on a project and all need access to the same material, our document management software will offer a speedy and secure way to pinpoint and distribute the files you need via shared libraries. Sharing your document libraries through Noggle promotes discussion and encourages the development of new ideas, whilst allowing you to retain complete control over who accesses and views your content.

4. See your information, visually

Documents don’t just have to be all about words. Sometimes, having a visual image in front of us can help us to better see exactly what we already know, and how to find out more. Noggle has created Knowledge Maps, acting as graphic representations of how your documents relate to each other – you’ll be able to view the bigger picture of content you’re searching for, with associated ideas and topics to support your research.

5. Get more out of a digital library

Managing your files using the latest technology will save you time and resources – you’ll be able to collate and curate your own digital library of the content that matters to you, all in a few clicks. Noggle uses intelligent processes to extract valuable information from large volumes of data, allowing you to have detailed insights and process content and knowledge in totally new ways.

With software this smart, you can let Noggle do the thinking for you.

Document management software has never been more intelligent. Noggle creates a secure peer network that syncs and connects disparate locations, so that locating and retrieving files is now the work of moments, not minutes. Search and share new depths of content and knowledge, and easily collaborate on inspiring ways of working. To see how Noggle could make a difference to the way that you manage the files that matter, install our free trial.

What is an “Insight Engine”?

Insight engine’s are cognitively enabled platforms. They interact with users in a more natural fashion, learn and progress as they gain more experience with data and user behavior, and proactively establish links between related data from various internal and external sources.

Gartner states:

“Enterprise search has dominated the way people find information, but significant changes in what is available and what is desired are gathering pace. Digital content leaders must embrace a new technology that is redefining the market around search, one that Gartner terms the ‘insight engine.’” (Source)

A cognitive insight engine provides a combination of indexing, natural-language processing, and machine-learning technologies to review an increasingly relevant corpus of knowledge from all sources of unstructured and structured data. These engines use naturalistic or visual query interfaces to deliver knowledge to people via text and cognitive visualizations.

How do searches via insight engines deliver relevant knowledge?

Insight engines extract valuable information from large volumes of complex, diverse data sources. It is important to tap into all available sources, whether they are internal or external, structured or unstructured, to provide deeper insights to users so they can make better decisions. Cognitive search provides this connection and provides comprehensive insights.

It provides contextually relevant information. Finding relevant knowledge across all available data requires cognitive systems that use natural-language processing (NLP) to understand what unstructured data from texts (e.g., documents, social media blogs, engineering reports, market research) and rich-media content (e.g., videos, scans) is about. Machine-learning algorithms help refine the insights gained from data. Trade and company dictionaries and ontologies help discover synonyms and relationships between different terms and concepts. That means there’s a lot of intelligence and horsepower under the hood of a system providing relevant knowledge or insight.

It leverages machine-learning capabilities to continuously improve the relevancy of search results. Machine-learning algorithms (e.g., collaborative filtering and recommendations, clusterization, similarity calculations for unstructured contents, and predictive analyses) provide added value by continuously refining and enhancing search results to provide the best relevancy to users.

Cognitive searches in insight engines give data-driven organizations a new generation of search functionality, enabling them to go far beyond the traditional search box and allowing users to get immediate, relevant knowledge at the right time on the right device.

Gartner Reviews for Insight Engine platforms: Gartner Vendor Reviews

Get Insights from the European Patent Office

Patent Insights

Crosslink and discover patents related to trends, clusters or your own documents

Using this patent search tool, you can search 90 million patents in the European Patent Office database. The data is provided by

Patent Search Tool

Why Explore Patent Data?

Our noggle managed patent library inspires the exploration and enhanced understanding of intellectual property (IP). Together with private noggle libraries, it allows to discover and visualize trends and patterns across the innovation landscape. As a result, we hope researchers and developers alike will explore and identify related knowledge.

What you will be doing with the patent search tool, at least in the first instance, is a keyword search. However, it is essential to try a variety of different keywords in your search. Once you stumble on the proper keyword combination the doorway starts to open to explore in combination with our cognitive clustering tool.

However, to do a competent patent search you must do more: For example, once you receive manageable results you need to read the patents and see which ones are relevant. So, always remember to try various search terms to make sure you are covering all possible descriptions of the invention. Along the way, as you read the patents and identify related ones, keep track of the numbers and identify the classification that relates to the type of invention you are searching.

A. Simple queries:

Query Example I

A search [cloud security] returns records matching cloud OR security in publication title or abstract, or inventor/applicant name.

Query Example II

A search [cloud AND security] returns records matching cloud AND security in publication title or abstract, or inventor/applicant name.

B. Complex queries:

Query Example III

A search [(“Internet of Things” OR IoT) AND IBM] returns records for IBM matching the phrase “Internet of Things” OR the term IoT .

 Example Screenshot for IBM “IoT” Patent search request. (Click for full view):

IBM IoT Patent Search

IBM IoT Patent Search

Data provided by EPO Open Patent Service (OPS)

Open Patent Services (OPS) is a web service which provides access to the EPO’s raw data via a standardised XML interface. It contains data on more than 90 million patent documents from around the world.

How-To: Maps Of The Worlds Digital Knowledge

Digital Knowledge

If we could join the dots between all the research articles that have been published digitally, what would happen?

Academics have already suggested that if we could only make the right connections between all the pieces of digital knowledge already available, we could tackle the most pressing questions facing society.

It is not about generating more and more content. It is about connecting the dots between pieces of material already in existence. The problem is not having digital knowledge “somewhere”. Our problem is retrieving knowledge when we need it.

Examples are already available of experts identifying key information about diseases like Alzheimer’s by data mining relevant literature. [1]

Stop talking! Let’s start putting Big Data and Text Mining into practice

You’ve already come across the buzzwords ‘big data’ and ‘text mining,’ right? But do you have this technology on your desktop ready to use? I bet not. At least, only a few of us will.

We can change that. I’ve started to produce an application which brings text mining, indexing and cognitive clustering right to your fingertips. I’ve kept it simple. Its “Google-like” interface with cognitive technologies can analyze private and deep-web content sources.

The technology is just one side of the story. The other side is the ability to analyze personal, private knowledge sources as well as external content libraries.

We need access to an entire body of knowledge, across all content sources

Nowadays, we want easy access to an entire body of domain knowledge stored digitally. Unfortunately, external publishers’ collections represent knowledge silos, because nobody wants to blend together different publishers.

So let’s move forward and join the dots.

The goal is to solve the following two problems:

A. Unify the search experience to different content sources

The good news is that many publishers nowadays offer open access to their content via APIs interfaces. The bad news is that they all look different.

I want to unify these different technical API access points. This will bring all content into one simplified search front-end to enable a search for term-based knowledge domains. Be it Patents, Open Access Science, IEEE or TEDTalks or …

Together with private knowledge sources from different storage locations, this would create a cool search experience.

B. Provide cognitive guided visual maps to explore the results

Often, so much content is returned in response to generic search terms that we ending up having to browse endless listings. But browsing linear listings is not a way of learning our brain can manage efficiently. Confronting hit after hit in a list—when lists don’t end—is not the way our brain works best. Our brain works more associatively. We need different forms to visualize the search result listings.

Forget about boring search result listings – use KnowledgeMaps

What would you think of a search result visualization tool that provides essential information about the structure of topics within the search results? Let’s call it a “KnowledgeMap” of similar terms in the documents from your initial search.

And it does so in a visual way like how our brain works – not with pure “listings.”

It looks like this: A clustering algorithm scans internal relations and linguistic patterns among documents according to how similar they are to the initial search request. Then it presents you with a visual map of these clusters and documents. You can now unearth new groups or cross-document relationships, which might guide you to new, interesting areas that build upon the initial search request.

Example 1: TED Talks – Predictions and future projections

The following infographic-like knowledge map was created by searching TED Talks for future projections and predictions. This allows you to browse 500 TED Talk predictions in clusters like “Future Energy,” “Social Change,” “Education,” or “Medical Research”:

TED Talks

Picture 1: KnowledgeMap of Clusters for TED Talks Predictions [2]

  • The Technology cluster includes a talk by Nicholas Negroponte, “5 predictions, from 1984.”
  • The Social Change cluster ranks the talk “The future of money” about how crytopcurrencies will change the banking landscape as #1.
  • The Politics cluster contains the top ranked talk “A prediction for the future of Iran,” which is based on a mathematical analysis for predicting human events.

These clusters have been auto-generated based on cognitive analysis and each talk is listed in the Noggle KnowledgeMap browser with a link to the original TED website.

Isn’t it a beautiful map of 500 predictions from the world’s most inspiring leaders?

Example 2: How drones are changing our lives

While there is a lot of “social noise” on the “airborne fulfillment centers” patent from Amazon [3], there is not just this one patent in that area. But it will hard to get it by just scrolling large listings in patent databases.

The following infographic-like knowledge map was created by searching the US patent library for “UAV and drone” with additional cognitive clustering based on the search result, which contained over 350 patents.

The KnowledgeMap spotted a cluster with 20 patents on the subject of “delivery” via drones!

Picture 2: KnowledgeMap of Clusters of US Patents on UAVs and Drones [4]

You can now unearth new groups or cross-document relationships, which may guide you to new, interesting areas that build upon the initial search request.

In milliseconds, thousands of documents located for the initial request are analyzed to build cognitive guided clusters. In addition, a new visual search experience is created by using KnowledgeMaps to present and browse the retrieved documents.

Generate stunning knowledge maps on your own

Now the fast and final part of the story: Let’s connect the unified search to access different content sources with the stunning KnowledgeMap feature: There it is, right at your fingertips… Generate stunning maps of the world’s digital knowledge by yourself.

Whether it’s patents, inspiring TED Talks, or open-access science articles—it is all now in front of you. Now you can discover links that could help us tackle whatever question or issue you can think of, in whatever area you choose.

Final 4 How-To steps to do it on your own

1.    Browse available KnowledgeMaps at

2.    Download and install the free application via

3.    Create or select libraries to execute a research request

4.    Generate cognitive clusters and maps on your own

The creative potential of this technology offers new ways of research and digital knowledge discovery. The produced maps are open to share, so it allows the retrieved KnowledgeMaps to be published and shared in your teams.

Now, share the news and lets start to make the right connections between all the pieces of information to tackle the most pressing questions facing society!

Happy Knowledge Mapping!

Yours, Lars von Thienen

Drone UAV Trends – US Patents

Download Code: 1z4kuzl3zts

Map name: Drone UAV Trends – US Patents
Documents in collection: 349
Total cluster count:53

Search Topic: UAV drone
Used Libraries: US Patents

Top 5 Cluster:
1. Sensor (46)
2. Target (43)
3. Remote Control (42)
4. Communication (41)
5. Launch (32)

Detected Cluster Labels:
Sensor, Target, Remote Control, Communication, Launch, Support, Surface, Piloting, Wing, Camera, Flight Path, Payload, Delivery, Equipment, Structure, Deployment, Object, Airborne, Axis, Images Captured, Mode, Rotor, Antenna, Mission, Radio

Source/License: – CC BY