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Real-time Insight in All Data, Present and Past

The promise of data-driven working is great: risk-based inspection, finding new revenue models, reducing costs and delivering better products and services. Every company wants this, but it often fails.
The most important business data cannot be fully unlocked by traditional analysis tools. Why does it go wrong and how do you manage to convert all data into insight?

The more you know, the more efficient and better you can make your products and services. That is why data-driven working is high on the agenda of many organizations. But an Artificial Intelligence or BI tools deliver, only partially or not at all, on the promise of data-driven work. That’s because they can only analyze part of the entire mountain of data. And what is an analysis worth if you can only examine half or a quarter of the data you have.

Insights are hidden in unstructured data

Many organizations started measuring processes in ERP and CRM systems over the past 20 years. They store financial data, machine data and all kinds of sensor data. These measurement data are easy to analyze, but do not tell where things go wrong during the entire operation.
This so-called structured data provides only partial insight, while you look for answers in the analysis of all data. It is estimated that 80% to 90% of all data from organizations is unstructured: we are talking about uncategorized data that stored in systems, notes, e-mails, handwritten notes on work-drawings and all kinds of documents across the organization. This valuable resource remains unexplored.

The unexplored gold mine of unstructured data

Organizations have terabytes of it: project information, notes, invoices, tenders, photos and films that together can yield an enormous amount of insights. This fast-growing gold mine is more of a data maze. Over the years, digitization took place step-by-step, process-by-process and department-by-department. During this digitization in slow motion, no one thought that it was useful to coordinate all information in such a way that you can easily analyze it later.

Artificial Intelligence and BI tools get lost

Departments of factories, offices or government agencies created their own data world through this so called ‘island automation’. Separate silos of application data, process data such as spreadsheets, presentations, invoices, tenders, and texts in all kinds of file formats. Moreover, departments and people all categorize information differently, and not structured like a computer would. Not everyone administers equally neatly, or categories are missing, so that colleagues simply write a lot of data away in the “other” field. The problem is that BI and AI tools cannot properly look into this essential and unstructured information. They lack signage, so they get lost in the maze of unstructured data.

Turning archives into accessible knowledge (and skills)

For many companies the future lies in the past. Because most organizations have boxes full of archived material from the pre-digital era, they are now digitizing at a rapid pace. Decades of acquired knowledge and experience are stored but hidden in these archives. Because, like many digital files, these are not well structured. Who categorized their project notes or files neatly into different categories, if they were available at all? If you want to use this unstructured data now, it will take you hundreds of hours of manual work to analyze. SynerScope’s technology searches terabytes or petabytes of data within 72 hours and provides immediate answers from all data.

Unstructured data harbor new revenue models

How that works? A non-life insurer did not know exactly where 25% of their insurance payments went. That is why SynerScope automatically examined the raw texts of millions of damage claims of the last 20 years. The word broken screen came up immediately for claims above 100 euros. The graph showed that screen breakage was rare until 2010, but then grew explosively. What happened? The insurer had never made the category of smartphones or tablets. As a result, they missed a major cost item, or to put it positively: for years they overlooked a new revenue model.


Turn data into progress

Thanks to the power of cloud computing in Azure, SynerScope is able to analyze large amounts of data in real time. And it doesn’t matter what kind of data it is. Spreadsheets, meeting minutes, drone images, filing cabinets full of invoices, you name it! Do you have hundreds of terabytes or even petabytes of satellite or drone data? Then it will be in the model tomorrow! Thanks to the analysis of the present and the past, organizations with SynerScope’s software live up to the promise of data-driven working. Leading companies such as Achmea, ExxonMobil, Stedin, VIVAT and De Volksbank are converting their data into progress with the solution from SynerScope.
Do you also want insight into your present & past to get a grip on the future?
Then request a demo!

The Art of Adding Common Sense To Data And knowing When To Dismiss It…

SynerScope

At Synerscope, helping people and notably domain experts, making sense of data is our core business. We bring both structured and unstructured data to use and we focus on combining the most advanced and innovative technologies with the knowledge and brainpower of the people in our customers’ business. Our specially developed visual interface allows domain experts to be directly plugged into the AI analysis process, so they can truly operate side-by-side with data scientists to drive results.

Thinking of the first needs in business continuity following on from the corona outbreak, we recently developed a GDPR compliant Covid-19 radar platform (https://www.synerscope.com/). Our Covid-19 radar supports the tracking and tracing of your personnel and provides HR specialists with ways for rapid and targeted intervention in the event an outbreak should hit your company after having come out of lockdown. Returning to work safely requires your HR departments to be equipped with more information to act upon. We can deliver these insights through our novel ways of handling all the data at hand.

Data, Artificial Intelligence & Common Sense

Due to Covid-19, data and the insights it provides have become an absolute must, as organizations base their decisions on data & analytics strategies in order to survive the outfall of the pandemic.

Making sense of the enormous influx of corona related data that is coming our way, we need Artificial Intelligence and Machine Learning to help master this. However, human common sense & creativity are equally needed in order to teach AI its tricks, as data becomes only meaningful when there is context.

It will be extra impactful as the call to rescue the economy and open up companies sooner rather than later is getting stronger. We have to take into account that we need to track, trace and isolate any cluster of direct contacts around new corona cases as quickly as possible, as not to hinder any progress made while also adhering to the prevalent GDPR rulings in Europe.

 AI Wizardry: it all stems from common sense

For any automated AI to deliver its best value, the models need training and the data input needs to be well selected. Training AI and selecting data are both dependent on human sense making, thus are best applied early on in the process. The quality and speed of human information discovery and knowledge generation depends on both the expertise and the richness of context in the data. Luckily that same AI can help experts to digest a much wider context faster than ever before. When you couple large diversity of expertise with a wider context of data the outcome of the analytical process clearly wins.

When and how do you best involve those people that bring context and common sense to the table? They will add the most value when locating useful data resources and validating the outcomes of algorithmic operations. Leveraging AI should therefore be an ongoing process: with the help of automated unsupervised AI domain experts a data scientist can identify data sources, amass and sort the data, then have data scientists add some more AI and ML wizardry. The outcomes will be presented to the people with the best common sense and with plenty of domain experience. Based on their judgment the algorithms can be optimized and repeated. Following this approach, companies are able to accelerate their progress in AI and learn and improve faster. Equipped with the right tooling and a small helping hand from data scientists, the domain experts will for sure find their way in and around the data themselves: we believe these so called citizen data scientists have a big future role to play in gaining more insight from data!

Reasoning by association

People with business sense help to continuously improve AI by injecting their common sense in the AI system. And what’s more: they add a key substance that typical AI is still missing, which is the capability of causal reasoning and reasoning by association. Enhancing AI with associative and creative thinking is groundbreaking. That’s exactly where our SynerScope technology sets itself apart.

We shouldn’t view AI as a black box, it is too important for that. In our vision, humans and technology are complementary: humans should have the overall lead and control but during the analytics process we should recognize for which steps we give the controls to our computer and let technology guide us through the data. Think of the self-driving car for a minute; while its ABS is fully automatic we still keep a finger at the steering wheel.

Unknown unknowns

As always, there is another side to the value of human contribution in AI. People tend to stick to what they already know, to relate to the context they are familiar with, i.e. to keep a steady course. But we want to ‘think out of the box’ and expect AI to help us with that.
Genuine paradigm shifting AI should help us master the ‘unknown unknowns’. Present us hidden insights and business opportunities that traditional ways of thinking will never unearth, like the cure for a disease that nobody ever thought of, or get the best scenario out of a number of variables too large to be handled by the human brain alone.

To select from the patterns of data that AI helps reveal, again you will need people, but a different kind: people that are fresh in the field, without being primed by too much knowledge, and are not encapsulated in corporate frameworks. And with the right technology solutions to help them find their way in the data, they are able to thrive and your company along with them.

Enabling humans to master all data

Synerscope creates and uses technology to augment intelligence on its way to a data-driven universe. We have developed groundbreaking inventions, some of which are patented. Our products & solutions are in use with some of the world’s Fortune 1000 companies. We are happy to partner with the leading Cloud providers of this world. SynerScope’s solutions provide Intelligence Augmentation (IA) to domain expert users that will make them 20-50x faster at extracting information from raw data. We focus on situations and use cases where insight goals and data inputs are by default not well predefined. And in situations where reaching full-context knowledge requires linking data from text, numbers, maps, networked interactions, transactions, sensors and digital images, in short we combine structured data with unstructured data and everything in between.

If you would like to listen & learn more about our view of the data & analytics market and our solutions, please click here to watch a short video (video SynerScope The Movie: a futuristic vision) or you can contact us by email: info@synerscope.com or call us on +31-88-ALLDATA.

SynerScope addresses your “white space” of unknown big data in your data-lake

The Netherlands, April 4, 2017 – As every organization is fast becoming a digital organization, powerful platforms that extend the use of data are imperative to use in the enterprize world.

By implementing SynerScope on top of your Hadoop, you are able to solve the whitespace of unknown data, due to the tight integration between the scalability of Hadoop with the best of SynerScope’s Artificial Intelligence (AI) including deep learning.  The result is a reduced Total Cost of Ownership, working with Big Data and it also creates, extremely fast, great value out of your data-lake.

As data science developments happen in your data lake, you currently encounter data latency problems. Hortonworks covers the lifecycle of data: data moving, data at rest and data analytics as a core infrastructure play.

Ixiwa, SynerScope’s backend product, will support and orchestrate data access layers and it will also make your whole data-lake span multiple services.

Hadoop is a platform for distributed storage and processing.  Place SynerScope on top of Hadoop and you gain advantage from deep learning intelligence, through SynerScope’ s Iximeer. It will bootstrap AI projects by providing out of the box interaction between domain expert, analysts and the data itself.

“AI needs good people and good data to get somewhere, so we basically help AI to make the best decision in parallel with first insight, then basic rules, then tuning”, says CTO Jorik Blaas.

We are proud to announce that as of today Hortonworks has awarded SynerScope all 4 (Operations, Governance, YARN and Security) certifications for our platform, which is a first in the history of their technology partners. 

For more info about the awarded badges go to https://hortonworks.com/partner/synerscope/

If you are interested and want to know more about us, there is the opportunity to visit us at the DataWorks Summit in Munich, April 5-6. We like to welcome you at our booth 1001 as well as at the IBM booth 704 and we will be presenting at the breakout session: “A Complete Solution for Cognitive Business” 12:20pm, room 5.

About SynerScope:

Synerscope enable users to analyze large amounts of structured and unstructured data. Iximeer is a visual analysis platform that represents big insights arising from analyzing AI data into a uniform contextual environment that links together various data sources: numbers, text, sensors, media/video and networks. Users can identify hidden patterns across data without specialized skills.

It supports collaborative data discovery, thereby reducing the efforts required for cleaning and modelling data. Ixiwa ingests data, generates metadata from both structured and unstructured files, and loads data into an in-memory database for fast interactive analysis. The solutions are delivered as an appliance or in the cloud. SynerScope can work with a range of databases, including SAP HANA as well as a number of NoSQL and Hadoop sources.

SynerScope operates in the following sectors: Banking, Insurance, Critical Infrastructure, and Cyber Security. Learn more at Synerscope.com.

SynerScope has strategic partnerships with Hortonworks, IBM, NVIDIA, SAP, Dell.