SOLUTIONS


Explore Semantic Visions innovative solutions and see how they can help you succeed in the networked economy.

By Industries

Information does not have to be secret to be valuable. The Internet has emerged permanently as the world’s dominating media platform and provides an endless supply of information that contributes to our understanding of the world. The Intelligence Community generally refers to this information as Open Source Intelligence (OSINT). OSINT plays an essential role in giving the national security community as a whole insight and context at a relatively low cost.

source: cia.gov

Four global macro-trends will be crucial in shaping the new equilibrium for capital markets in 2020: global instability, the rise of state-directed capitalism, technology and war for resources. Technology will be the disruptive force for the next five years, permeating innovation and change. We will see it as a disruptive enabler of new products, services, business models and operating structures, as well as a catalyst for the entry of new players which we would not have seen just five years ago.

source: pwc.com

Current developments in the aerospace and defense industries have transformed the risk landscape, making supply chains vulnerable to disruptions. Supply chain disruptions are prevalent root causes of operational delays. They can result from natural disasters (e.g. earthquakes, volcano eruptions, floods) and subsequent logistical challenges as well as from manmade risks. Financially distressed suppliers, resource constraints and socio-political reasons (e.g. strikes, political unrest) can likewise halt a production line.

source: ethz.ch

Today’s economies are dramatically changing, triggered by development in emerging markets, the accelerated rise of new technologies, sustainability policies, and changing consumer preferences around ownership. Digitization, increasing automation, and new business models have revolutionized other industries, and automotive will be no exception.

source: mckinsey.com

Innovation in financial services is deliberate and predictable; incumbent players are most likely to be attacked where the greatest sources of customer friction meet the largest profit pools. Innovations are having the greatest impact where they employ business models that are platform based, data intensive, and capital light. The most imminent effects of disruption will be felt in the banking sector; however, the greatest impact of disruption is likely to be felt in the insurance.

source: weforum.org

By Use Cases

Minimize supplier risk by gaining situational awareness of complex supplier networks.

THE CHALLENGE

In recent years, corporations have been increasingly prioritizing supplier and vendor management activities. Consequently, the discipline of supplier risk management (SRM) now offers great potential to benefit from big data and predictive analytics. Traditional approaches to tracking supplier quality with operational key performance indicators have already been done, and companies are now looking for ways to incorporate additional data sources and analyze the entire ecosystem of each individual supplier, such as: geopolitical risk, brand reputation risk, regulatory risk, and environmental risk. The key challenge is to effectively manage these risk categories that hitherto have not been effectively incorporated into supplier risk assessment methods.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions runs a system optimized for detecting risk scenarios applicable to millions of individual suppliers which is powered by data available on the Internet.

That’s why our supplier risk detection service based on VEGA is especially attractive for large corporations with tens or even hundreds of thousands of suppliers across the globe.

Our priority is to detect hundreds of specific threats to supply chains and to provide data for integration into an existing risk management system or model.

Our supplier risk data enhance the picture of supplier bases and provide key elements to the supplier 360 view. In addition to real-time risk detection – continuous monitoring – Semantic Visions also provides supplier history data with contextual information about all supplier related events. This enables more comprehensive analysis at the stage of supplier on-boarding and overall risk assessment.

CPOs benefit from access to a self-service information pool with well-structured data derived from a massive selection of online sources, which cannot be derived from internal data only. It’s a priceless tool in the quest to create the best value from a world-class supply base.

Semantic Visions provides risk detection for SAP Ariba – the largest business commerce network, which drives over $1 trillion in commerce.

Trawl the vast amount of data on the Internet to detect signals indicating emerging problems that could potentially result in default by a borrower.

THE CHALLENGE

Banks can no longer manage loan portfolios in isolation. The challenging economic environment puts significant pressure on banks and financial institutions to address credit risk in a more effective and risk-averse way. The current tools for corporate loan monitoring lack the flexibility and agility to perform in real-time and exploit all available sources. This results in significant loan losses for practically all banks and lending institutions. Under current practices, corporate loans are typically monitored between 1 to 4 times a year during quarterly, semi-annual or annual reviews.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions introduces the capability to process publicly available sources and detect threats and upcoming economic difficulties of a debtor. The relevant detected instances are transformed into smart signals. Integrating Semantic Visions signals with existing insolvency register data dramatically increases the effectiveness of corporate loan monitoring systems.

The smart signals are detected on a continual basis, which makes it possible to raise warning flags at the very moment relevant information is published. This is achieved thanks to the underlying Semantic Visions platform that processes an extraordinary quantity of published information from the entire web.

Therefore, our credit risk detection service based on VEGA is especially attractive for large banks managing the credit portfolios of millions of corporate loans.

Our priority is to detect hundreds of specific threats to credit portfolios and provide data for existing risk management systems or models.

Continual analysis of online sources adds enormous functionality and greatly increases the effectiveness to thoroughly perform regular client reviews. The benefits to a financial organization go beyond improving the overall effectiveness of credit risk management.

Understand events and actions within the context of national laws, international regulations, ethics and best practices, and detect instances where compliance is violated.

THE CHALLENGE

Today’s global and economic environment presents numerous and diverse challenges to all corporate departments, and regulatory compliance is perceived as one of the highest legal risk areas. Corporations are seeking ways how to establish efficient compliance oversight and monitoring of their own actions and processes as well as those of their partners and suppliers.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions solution is now an essential component of innovative governance, risk and compliance for a number of corporations and institutions. It enables organizations to leverage a new wealth of information enabling substantial improvements to enterprise risk management.

Our system provides real-time detection of situations and events with potentially negative impact on compliance of a given company, including those affecting the company’s suppliers and partners. The resulting data are transformed to smart signals which are efficiently integrated into the tools used by GRC departments.

Our smart signals help to identify compliance challenges and issues across multiple jurisdictions around the world and within differing regulatory regimes. We integrate an agile plug-in into existing compliance monitoring and reporting tools. The solution enables customized dashboards for transparent, real-time compliance reporting to decision makers and regulatory authorities.

Semantic Visions’ effective and innovative approach to compliance monitoring is proven to greatly reduce the risk of non-compliance.

Harness facts that are openly available on the Internet and which can have more added value than classified reports.

THE CHALLENGE

Open Source Intelligence (OSINT) has become an acknowledged intelligence discipline with a decisive role in detection and analysis frameworks. Currently, intelligence agencies and law enforcement authorities have to cope with the challenge of collecting and analyzing immense volumes of OSINT data.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions is contributing to further technology advances in OSINT and WEBINT (Web Intelligence) in particular. Our system crawls the Internet for relevant big data and performs sophisticated semantic categorization of the content collected. The actual collection runs continuously on a scale of millions of articles per day.

Our system rapidly provides any amount of categorized (tagged) data formats that are easily indexed by internal systems. As such, the Semantic Visions system is fully autonomous from an agency’s system and thus data transfer is strictly one way – to the client.

The defined semantic metadata produce optimal efficiency in query definition by the client (e.g. search by author), while the accuracy of the intelligence is enhanced with large amounts of collected documents. Our system enables customers to produce both operational and executive level strategic analysis of entities of interest or even entire countries.

Semantic Visions OSINT provides a frame for classified data, and places it within context. The solution enables the detection and verification of hundreds of alert signals and threats. Thanks to a fully automated collection and semantic tagging system, analysts have more time to read, digest and evaluate relevant data. This effectively solves the unwanted situation whereby analysts routinely spend 90% of their time searching for information, rather than analyzing acquired information.

Vast amounts of semantically analyzed collected data are just a few mouse clicks away, waiting to be utilized by analysts and policymakers.

Detect and analyze disinformation and propaganda as it is disseminated throughout the world, and influences people’s attitudes, beliefs and behaviors.

THE CHALLENGE

Online media has greatly accelerated the dissemination of ideas and rumors for the purpose of promoting a particular cause. Governments, think-tanks and organizations which uphold democratic principles need an efficient way to deal with the growing mass of malicious information made available to entire populations and which distorts reality.

SEMANTIC VISIONS’ SOLUTION

The Semantic Visions system processes an extraordinary amount of published information and identifies what constitutes public opinions. What media publish is what people read; what people read is what they are inclined to believe; what they believe is what they think.

We identify information patterns and ideas and discover where and when they originate. We also detect the context of such information and its relevance to political leadership and geographic regions. We identify the trends and developments over long periods of time. The first step in the process of responding to disinformation is to identify its presence and create awareness about its aims.

We also believe in the good cause of educating people, providing them with unbiased information and providing them with information to make balanced and independent decisions.

The Internet has become the medium for communicating people’s ideas. A critical mass of ideas and opinions is the ideal formula for detecting shifts in opinion and emerging political and societal movements.

THE CHALLENGE

In order to achieve a competitive advantage, corporations strive to implement innovation. This means that corporations spend resources on conceiving and developing new ideas. Key to this is the ability to expediently produce ideas that are in turn verified for their technological and intellectual potential. Traditional methods for spawning new ideas – such as brainstorming – are no longer sufficient to achieve genuine competitive advantage, because they they have not been designed to process massive information in a rapid succession of iterations.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions brings a solution able to automatically detect groundbreaking ideas that can include concepts that the authors themselves have not even considered. Our system is a continuously running solution capable of instantaneously identifying ideas with potential.

We trawl Big Data to identify emerging trends, concerns and real-life phenomena relating to a given product group. We provide the results in a clearly structured form. This time-saving solution enables corporations to concentrate on key factors, not information discovery, and create their own basis for identifying potential technologies well before they become emerging technologies.

Predict equity, commodity, bond and currency movements and market downturns.

THE CHALLENGE

Predicting movements of share prices is chiefly based on technical indicators. This type of prediction, however, does not accommodate for diverse factors in the real world, which can have a profound impact on share price. Substantial enhancements can be achieved by harnessing advanced sentiment analysis of individual titles, where the challenges include the ability to collect relevant data and perform conclusive semantic analysis which provides high quality inputs to predictive modeling.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions’ solution is founded upon state-of-the-art mass data collection capabilities and the most sophisticated sentiment analysis brain there is. It is able to continuously produce real-time multifaceted sentiment data relating to thousands of listed companies.

Semantic Visions Sentiment Analysis results are instantly delivered as enhancing parameters into existing prediction models and can drastically reduce forecasting error. Our approach complements technical analysis.

The relevance and quality of our semantically generated smart data provides a vanguard method for minimizing the risk of equity market investments. Semantic Visions focuses on delivering information and analytic tools for predicting sudden declines in a given company’s share price, downturns in industry sectors, and even predicting the crash of an entire market.

SOLUTIONS


Explore Semantic Visions innovative solutions and see how they can help you succeed in the networked economy.

By Industries

Information does not have to be secret to be valuable. The Internet has emerged permanently as the world’s dominating media platform and provides an endless supply of information that contributes to our understanding of the world. The Intelligence Community generally refers to this information as Open Source Intelligence (OSINT). OSINT plays an essential role in giving the national security community as a whole insight and context at a relatively low cost.

source: cia.gov

Four global macro-trends will be crucial in shaping the new equilibrium for capital markets in 2020: global instability, the rise of state-directed capitalism, technology and war for resources. Technology will be the disruptive force for the next five years, permeating innovation and change. We will see it as a disruptive enabler of new products, services, business models and operating structures, as well as a catalyst for the entry of new players which we would not have seen just five years ago.

source: pwc.com

Current developments in the aerospace and defense industries have transformed the risk landscape, making supply chains vulnerable to disruptions. Supply chain disruptions are prevalent root causes of operational delays. They can result from natural disasters (e.g. earthquakes, volcano eruptions, floods) and subsequent logistical challenges as well as from manmade risks. Financially distressed suppliers, resource constraints and socio-political reasons (e.g. strikes, political unrest) can likewise halt a production line.

source: ethz.ch

Today’s economies are dramatically changing, triggered by development in emerging markets, the accelerated rise of new technologies, sustainability policies, and changing consumer preferences around ownership. Digitization, increasing automation, and new business models have revolutionized other industries, and automotive will be no exception.

source: mckinsey.com

Innovation in financial services is deliberate and predictable; incumbent players are most likely to be attacked where the greatest sources of customer friction meet the largest profit pools. Innovations are having the greatest impact where they employ business models that are platform based, data intensive, and capital light. The most imminent effects of disruption will be felt in the banking sector; however, the greatest impact of disruption is likely to be felt in the insurance.

source: weforum.org

By Use Cases

Minimize supplier risk by gaining situational awareness of complex supplier networks.

THE CHALLENGE

In recent years, corporations have been increasingly prioritizing supplier and vendor management activities. Consequently, the discipline of supplier risk management (SRM) now offers great potential to benefit from big data and predictive analytics. Traditional approaches to tracking supplier quality with operational key performance indicators have already been done, and companies are now looking for ways to incorporate additional data sources and analyze the entire ecosystem of each individual supplier, such as: geopolitical risk, brand reputation risk, regulatory risk, and environmental risk. The key challenge is to effectively manage these risk categories that hitherto have not been effectively incorporated into supplier risk assessment methods.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions runs a system optimized for detecting risk scenarios applicable to millions of individual suppliers which is powered by data available on the Internet.

That’s why our supplier risk detection service based on VEGA is especially attractive for large corporations with tens or even hundreds of thousands of suppliers across the globe.

Our priority is to detect hundreds of specific threats to supply chains and to provide data for integration into an existing risk management system or model.

Our supplier risk data enhance the picture of supplier bases and provide key elements to the supplier 360 view. In addition to real-time risk detection – continuous monitoring – Semantic Visions also provides supplier history data with contextual information about all supplier related events. This enables more comprehensive analysis at the stage of supplier on-boarding and overall risk assessment.

CPOs benefit from access to a self-service information pool with well-structured data derived from a massive selection of online sources, which cannot be derived from internal data only. It’s a priceless tool in the quest to create the best value from a world-class supply base.

Semantic Visions provides risk detection for SAP Ariba – the largest business commerce network, which drives over $1 trillion in commerce.

Trawl the vast amount of data on the Internet to detect signals indicating emerging problems that could potentially result in default by a borrower.

THE CHALLENGE

Banks can no longer manage loan portfolios in isolation. The challenging economic environment puts significant pressure on banks and financial institutions to address credit risk in a more effective and risk-averse way. The current tools for corporate loan monitoring lack the flexibility and agility to perform in real-time and exploit all available sources. This results in significant loan losses for practically all banks and lending institutions. Under current practices, corporate loans are typically monitored between 1 to 4 times a year during quarterly, semi-annual or annual reviews.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions introduces the capability to process publicly available sources and detect threats and upcoming economic difficulties of a debtor. The relevant detected instances are transformed into smart signals. Integrating Semantic Visions signals with existing insolvency register data dramatically increases the effectiveness of corporate loan monitoring systems.

The smart signals are detected on a continual basis, which makes it possible to raise warning flags at the very moment relevant information is published. This is achieved thanks to the underlying Semantic Visions platform that processes an extraordinary quantity of published information from the entire web.

Therefore, our credit risk detection service based on VEGA is especially attractive for large banks managing the credit portfolios of millions of corporate loans.

Our priority is to detect hundreds of specific threats to credit portfolios and provide data for existing risk management systems or models.

Continual analysis of online sources adds enormous functionality and greatly increases the effectiveness to thoroughly perform regular client reviews. The benefits to a financial organization go beyond improving the overall effectiveness of credit risk management.

Understand events and actions within the context of national laws, international regulations, ethics and best practices, and detect instances where compliance is violated.

THE CHALLENGE

Today’s global and economic environment presents numerous and diverse challenges to all corporate departments, and regulatory compliance is perceived as one of the highest legal risk areas. Corporations are seeking ways how to establish efficient compliance oversight and monitoring of their own actions and processes as well as those of their partners and suppliers.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions solution is now an essential component of innovative governance, risk and compliance for a number of corporations and institutions. It enables organizations to leverage a new wealth of information enabling substantial improvements to enterprise risk management.

Our system provides real-time detection of situations and events with potentially negative impact on compliance of a given company, including those affecting the company’s suppliers and partners. The resulting data are transformed to smart signals which are efficiently integrated into the tools used by GRC departments.

Our smart signals help to identify compliance challenges and issues across multiple jurisdictions around the world and within differing regulatory regimes. We integrate an agile plug-in into existing compliance monitoring and reporting tools. The solution enables customized dashboards for transparent, real-time compliance reporting to decision makers and regulatory authorities.

Semantic Visions’ effective and innovative approach to compliance monitoring is proven to greatly reduce the risk of non-compliance.

Harness facts that are openly available on the Internet and which can have more added value than classified reports.

THE CHALLENGE

Open Source Intelligence (OSINT) has become an acknowledged intelligence discipline with a decisive role in detection and analysis frameworks. Currently, intelligence agencies and law enforcement authorities have to cope with the challenge of collecting and analyzing immense volumes of OSINT data.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions is contributing to further technology advances in OSINT and WEBINT (Web Intelligence) in particular. Our system crawls the Internet for relevant big data and performs sophisticated semantic categorization of the content collected. The actual collection runs continuously on a scale of millions of articles per day.

Our system rapidly provides any amount of categorized (tagged) data formats that are easily indexed by internal systems. As such, the Semantic Visions system is fully autonomous from an agency’s system and thus data transfer is strictly one way – to the client.

The defined semantic metadata produce optimal efficiency in query definition by the client (e.g. search by author), while the accuracy of the intelligence is enhanced with large amounts of collected documents. Our system enables customers to produce both operational and executive level strategic analysis of entities of interest or even entire countries.

Semantic Visions OSINT provides a frame for classified data, and places it within context. The solution enables the detection and verification of hundreds of alert signals and threats. Thanks to a fully automated collection and semantic tagging system, analysts have more time to read, digest and evaluate relevant data. This effectively solves the unwanted situation whereby analysts routinely spend 90% of their time searching for information, rather than analyzing acquired information.

Vast amounts of semantically analyzed collected data are just a few mouse clicks away, waiting to be utilized by analysts and policymakers.

Detect and analyze disinformation and propaganda as it is disseminated throughout the world, and influences people’s attitudes, beliefs and behaviors.

THE CHALLENGE

Online media has greatly accelerated the dissemination of ideas and rumors for the purpose of promoting a particular cause. Governments, think-tanks and organizations which uphold democratic principles need an efficient way to deal with the growing mass of malicious information made available to entire populations and which distorts reality.

SEMANTIC VISIONS’ SOLUTION

The Semantic Visions system processes an extraordinary amount of published information and identifies what constitutes public opinions. What media publish is what people read; what people read is what they are inclined to believe; what they believe is what they think.

We identify information patterns and ideas and discover where and when they originate. We also detect the context of such information and its relevance to political leadership and geographic regions. We identify the trends and developments over long periods of time. The first step in the process of responding to disinformation is to identify its presence and create awareness about its aims.

We also believe in the good cause of educating people, providing them with unbiased information and providing them with information to make balanced and independent decisions.

The Internet has become the medium for communicating people’s ideas. A critical mass of ideas and opinions is the ideal formula for detecting shifts in opinion and emerging political and societal movements.

THE CHALLENGE

In order to achieve a competitive advantage, corporations strive to implement innovation. This means that corporations spend resources on conceiving and developing new ideas. Key to this is the ability to expediently produce ideas that are in turn verified for their technological and intellectual potential. Traditional methods for spawning new ideas – such as brainstorming – are no longer sufficient to achieve genuine competitive advantage, because they they have not been designed to process massive information in a rapid succession of iterations.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions brings a solution able to automatically detect groundbreaking ideas that can include concepts that the authors themselves have not even considered. Our system is a continuously running solution capable of instantaneously identifying ideas with potential.

We trawl Big Data to identify emerging trends, concerns and real-life phenomena relating to a given product group. We provide the results in a clearly structured form. This time-saving solution enables corporations to concentrate on key factors, not information discovery, and create their own basis for identifying potential technologies well before they become emerging technologies.

Predict equity, commodity, bond and currency movements and market downturns.

THE CHALLENGE

Predicting movements of share prices is chiefly based on technical indicators. This type of prediction, however, does not accommodate for diverse factors in the real world, which can have a profound impact on share price. Substantial enhancements can be achieved by harnessing advanced sentiment analysis of individual titles, where the challenges include the ability to collect relevant data and perform conclusive semantic analysis which provides high quality inputs to predictive modeling.

SEMANTIC VISIONS’ SOLUTION

Semantic Visions’ solution is founded upon state-of-the-art mass data collection capabilities and the most sophisticated sentiment analysis brain there is. It is able to continuously produce real-time multifaceted sentiment data relating to thousands of listed companies.

Semantic Visions Sentiment Analysis results are instantly delivered as enhancing parameters into existing prediction models and can drastically reduce forecasting error. Our approach complements technical analysis.

The relevance and quality of our semantically generated smart data provides a vanguard method for minimizing the risk of equity market investments. Semantic Visions focuses on delivering information and analytic tools for predicting sudden declines in a given company’s share price, downturns in industry sectors, and even predicting the crash of an entire market.