Artificial Intelligence: Yes! But no Dependencies on Data Scientists!

You can reach a lot with Artificial Intelligence (AI). But which follow up costs will occur to adapt your AI solution to changed processes?

One thing is clear: Data Scientists are rare and expensive. Therefore, our self-learning AI standard software PREDICTIVE INTELLIGENCE is automating some time-consuming tasks which Data Scientists execute, normally.

On the one hand, this reduces implementation costs for your AI solution and on the other hand, also your operating costs. How does this work? Our self-learning algorithms, which have been awarded many times, represent the core of our standard software PREDICTIVE INTELLIGENCE.

In this way, your AI solutions get scalable and can be used over years, without hidden follow up costs.

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Maturity Model for IT Analysis

With self-learning predictive AI analytics, IT analysis has reached highest maturity level.

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PREDICTIVE INTELLIGENCE

Unsuspected Possibilities with Self-Learning Artificial Intelligence (AI) and Cognitive Robotic Process Automation (RPA)

On the one hand, nowadays, companies are exposed much more to cost pressure, quality requirements, unpredictability and increasing process complexity. On the other hand, companies have more and more data available form their processes, machines and resource operations. However, availability of (big) data does not yet realize efficiency increases, hoped for – only smart data discover inefficiencies and disturbing factors in both, business and technical processes.

Predictive Analytics and Control: Scalable, Self-learning and Un-supervised

PREDICTIVE INTELLIGENCE is an unsupervised self-learning AI standard software. Even in complex processes and dynamic data structures, you get foresighted recommendations for daily operations. Machine to machine communication allows direct process and machinery control – with proven efficiency increase. Dynamic simulation methods discover hidden optimization potentials. Disturbing factors are discovered early. In this way, you avoid inefficiencies before they occur!

In contrast to other AI approaches (i.e. Deep Learning), PREDICTIVE INTELLIGENCE gives transparency which factors influence your processes in a positive or negative way. Thus, you can sustainably improve your processes.

Our solutions, which have been granted with various innovation awards, increase efficiency of humans, machineries, materials as well as energy.

  • Predictive Quality (Production)
    Assess and predict quality of production steps. Discover interwoven disturbing factors and hidden machine anomalies. Control machinery in a predictive way (machine-to-machine control or as recommendation for machine operators).
  • Predictive Maintenance
    Understand initial signs of future machine failures. Discover reasons for wear and tear. Recommend action for machine maintenance and machine control.
  • Predictive Energy (Industry)
    Predict energy. Discover disturbing factors for energy efficiency. Automate energy trading in a predictive way.
  • Predictive Energy Grid
    Realizing full potential of renewable energy usage. More precise energy purchase and sale, also for renewable energy. Predictively automated energy trading.
  • Predictive Building
    Control buildings in a predictive and adaptive way.
  • Predictive Sales
    Predict product sales. Discover influences on selling. Enable client-specific advertising. Reduce return shipment. Recommend optimal prices.
  • Streaming Analytics
    Predictions and recommendations with real time data without loosing time.
  • Software Modules
    Analytics Discovery, Anomaly Detection, Predictive Control, Prediction, Analysis, Simulation, Data and User Management

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Predictive Quality (Production)

Excellent production quality is the figurehead of each production company. Innovative companies which are ready for the future avoid minor quality and discover disturbing factors on quality or on machinery, early in advance.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of quality optimization:

  • Assess and predict quality of production steps
    You can skip time consuming quality checks (i.e. ultrasonic). Instead of checking only a fraction of critical production steps, 100% off all relevant production steps is checked. Manual checks, which might be required by ISO standards, are targeted to borderline processing.
    Result:
    Significant cost reduction of quality tests and, at the same time, 100% test coverage.
  • Discover interwoven disturbing factors and hidden machine anomalies
    Our self-learning algorithms discover complex disturbing factors, for example in complex variant diversity which normally hardly give you a chance to find out reasons for minor quality. Or in processes, which are exactly the same (same machineries, same calibrations, same supplier material, …), but still deliver – sometimes – bad quality.
    Result:
    Sustainable adjustment of production process to avoid low quality.
  • Predictive control of machinery
    Machinery should always run in such a way that it produces high quality. However, batch changes or high variant diversity often make it difficult to always produce high quality. Our self-learning algorithms discover complex and interwoven correlations.
    Result:
    Machine operator is given recommendations for optimal machinery set up. Or it is possible to automatically control machines.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine behavior (i.e. changed production or machinery utilization). Customized algorithms are automatically rolled out to all machinery instances.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

Bosch: Predictive Quality Analytics in Production T-Systems: Predictive Quality Control ZF: Self-learning AI Improves Production Quality in Complex Variant Processing Koehler Paper Group: Predictive Quality Analytics in Production
Bosch: Predictive Quality Analytics in Production

Bosch

Predictive Quality Analytics in Production

T-Systems: Predictive Quality Control

T-Systems

Predictive Quality Control

ZF: Self-learning AI Improves Production Quality in Complex Variant Processing

ZF

Self-learning AI Improves Production Quality in Complex Variant Processing

Koehler Paper Group: Predictive Quality Analytics in Production

Koehler Paper Group

Predictive Quality Analytics in Production

Learn more with our videos.

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Predictive Maintenance

World-class products require world-class production line management. Increase machinery availability and optimize technical service management by predictive and demand-oriented maintenance. Maintaining machinery on the basis of pre-defined cycles and condition monitoring belongs to the past.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of predictive maintenance:

  • Discover anomalies in machine behavior.
  • Get transparency which factors influence machine inefficiencies. In this way, you can optimize machine operation and sensor usage.
  • Predict accurate machine failure and inefficiencies.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine behavior (i.e. changed production or machinery utilization). Customized algorithms are automatically rolled out to all machinery instances.

Both, machinery operators and machinery producers benefit from next generation maintenance. New business models are created to offer value add services for predictive maintenance analytics, i.e. via cloud.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

German Rail: Avoiding total damage thanks to predictive maintenance T-Systems: Predictive Quality Control Siemens: Predictive Analytics Partner for Predictive Services NTT Facilities: Failure Prediction for Critical Air-conditioning System Wittenstein: Predictive Maintenance
German Rail: Avoiding total damage thanks to predictive maintenance

German Rail

Avoiding total damage thanks to predictive maintenance

T-Systems: Next Generation Maintenance

T-Systems

Next Generation Maintenance

Siemens: Predictive Analytics Partner for Predictive Services

Siemens

Predictive Analytics Partner for Predictive Services

NTT Facilities: Failure Prediction for Critical Air-conditioning System

NTT Facilities

Failure Prediction for Critical Air-conditioning System

Wittenstein: Predictive Maintenance

Wittenstein

Predictive Maintenance

Learn more with our videos.

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Predictive logistics

Transporting people and goods requires good planning and reliable execution. Adversities should be avoided in advance, or – if ad hoc decision are required – solutions should be found in a predictive way.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels:

  • Perspicacious capacity planning
    Highly accurate predictions are the basis for self-learning simulation algorithms to optimize planning processes in a predictive way. Either, recommendations are given to planning staff or planning processes are automated.
  • Predictive maintenance of critical infrastructure
    Discover anomalies in machine behavior, get transparency which factors influence machine inefficiencies. In this way, you can optimize machine operation and sensor usage. Predict accurate machine failure and inefficiencies.
  • Predictive energy cost reduction
    Predict energy demand in high accuracy, calculate machinery efficiency, and thus, also costs; simulate best possible multi-asset control and give this either as recommendations to operator or automatically control planning or assets.

PREDICTIVE INTELLIGENCE algorithms understand changes. Algorithms adjust automatically and thus, always provide optimal logistics, despite changed processes.

Both, logistics supplier as well as logistics clients benefit directly from next generation of predictive logistics solutions.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

German Rail: Avoiding total damage thanks to predictive maintenance Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading BASF: Capacity Planning Mobil saar: Research project Mobility 4.0
German Rail: Avoiding total damage thanks to predictive maintenance

German Rail

Avoiding total damage thanks to predictive maintenance

Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

Opel

Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

BASF: Capacity Planning

BASF: Capacity Planning

Capacity Planning: 5 – 10 % Cost Reduction Potential

Mobil saar: Research project Mobility 4.0

Mobil saar

Research project Mobility 4.0

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Predictive Energy (Industry)

Without energy, production stops. Electricity, heat, compressed air, … are significant for production processes. For energy intensive industries like steel or aluminum production, energy costs are ca. 25% of entire production costs. Thus, it is obvious that saving energy costs is mandatory. However, how can it be done without having negative effects on your production processes and product quality?

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of energy optimization:

  • Predicts highly dynamic energy demands and energy generations.
  • Analyzes machinery behavior and gives transparency which influences have negative effects on energy demand.
  • Gives recommendations for machinery operator how to produce the same product volume and quality with less energy. Or automatic control is done directly, machine-to-machine.
  • Gives recommendations for plant operator.
  • Gives recommendations for energy trading, which products should be sold in which volume and price at energy trade.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine behavior (i.e. changed production or machinery utilization).

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading German Rail: Energy Peak Cutting Dillinger Hütte: Energy Demand Analysis EVO: Machinery Control / Simulation Bartz Werke: Reduction of Energy Resources in Casting Hager Group: Predictive Energy Flow
Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

Opel

Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

German Rail: Energy Peak Cutting

German Rail

Energy Peak Cutting

Dillinger Hütte: Energy Demand Analysis

Dillinger Hütte

Energy Demand Analysis

EVO: Machinery Control / Simulation

EVO: Machinery Control / Simulation

Heat Recovery saves 25 % of Energy

Bartz Werke: Reduction of Energy Resources in Casting

Bartz Werke

Reduction of Energy Resources in Casting

Hager Group: Predictive Energy Flow

Hager Group

Predictive Energy Flow

Learn more with our videos.

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Predictive Energy Grid

Different energy generators and consumers, which are combined to a multi-utility control center, should simply run in an optimal way. However, what is “optimal”? There are conflicting targets, like increasing usage of own power supply, reducing energy costs overall, cutting peaks, using machinery more efficiently, ...
If renewable energy is also generated, complexity is increased. Energy trading can be a lucrative building block, too, if trade fair risks are reduced.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of predictive energy grid:

  • Predict energy demand and generation.
  • Calculate machinery efficiency, and thus, also costs.
  • Simulate best possible multi-utility control center and control machinery accordingly, either by recommendations to operator or by automated machinery control.
  • Realizing full potential of renewable energy usage.
  • More precise energy purchase and sale, also for renewable energy.
  • Predictively automated energy trading.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in machine / human behavior. Customized algorithms are automatically rolled out.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

EnBW: Full Potential For Renewable Energy Usage Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading German Rail: Energy Peak Cutting Stadtwerke Saarlouis: Renewable Energy Prediction Stadtwerke Saarlouis: Gas Prediction Dillinger Hütte: Energy Demand Analysis Hager Group: Predictive Energy Flow
EnBW: Full Potential For Renewable Energy Usage

EnBW: Full Potential For Renewable Energy Usage

Innovative analytics approach enables future-oriented solutions for renewable energy

Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

Opel

Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

German Rail: Energy Peak Cutting

German Rail

Energy Peak Cutting

Stadtwerke Saarlouis: Renewable Energy Prediction

Stadtwerke Saarlouis: Renewable Energy Prediction

Flexible and Precise Predictions despite High Volatility

Netzwerke Saarlouis: Gas Prediction

Netzwerke Saarlouis: Gas Prediction

Twice as Precise than State of the Art Solution

Dillinger Hütte: Energy Demand Analysis

Dillinger Hütte

Energy Demand Analysis

Hager Group: Predictive Energy Flow

Hager Group

Predictive Energy Flow

Learn more with our videos.

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Predictive Resource Planning

Resource planning is required for all industrial branches, whether the planning concerns staff, logistic resources, energy or other goods and material. The more influencing factors are having effect on planning, the more difficult is reliability. However, to avoid ad hoc activities and ensure smoothly running operation, you need reliability in your planning. Then, both, you clients and your staff are satisfied, as well as your material and assets are used in an optimal way.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all planning areas:

  • Prediction of future demands.
  • Optimal allocation of staff, machinery, material and energy.
  • Recommendations for planners, team leads and machine operators, or automated execution of planning, purchasing and control processes.

PREDICTIVE INTELLIGENCE algorithms understand changes. Algorithms adjust automatically and thus, always provide optimal planning, despite changed processes.

Both, staff as well as clients benefit directly from next generation of predictive logistics solutions.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

German Rail: Avoiding total damage thanks to predictive maintenance Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading BASF: Capacity Planning NTT Facilities: To dispatch engineers during daytime in a regular manner (→ decrease OPEX) EnBW: Flexible Heat Power
German Rail: Avoiding total damage thanks to predictive maintenance

German Rail

Avoiding total damage thanks to predictive maintenance

Opel: Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

Opel

Self-Learning Predictions for optimizing Power Plant Operation and Energy Trading

BASF: Capacity Planning

BASF: Capacity Planning

Capacity Planning: 5 – 10 % Cost Reduction Potential

NTT Facilities: To dispatch engineers during daytime in a regular manner (→ decrease OPEX)

NTT Facilities

To dispatch engineers during daytime in a regular manner (→ decrease OPEX)

EnBW: Flexible Heat Power

EnBW

Flexible Heat Power

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Predictive Building

Digitalization does not stop in front of buildings. Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE discovers needs of building users and equipments, like future maintenance demand for air conditioning systems. Self-learning algorithms optimize maintenance, energy efficiency, comfort, security, building usage and quality of living.

  • Discover behavior patterns
    Building operators and users have individual requirements. PREDICTIVE INTELLIGENCE Solution for Smart Building discovers these behavior patterns, even in highly dynamic environments.
  • Simulate optimum
    All possibilities of available building control are simulated in order to reach optimization goals. For conflicting gloas, dynamic conflict resolution strategies are applied.
  • Predictive building control
    Best strategies for reaching defined targets are realized. Depending on the individual building, this can be automated, for example for energy-efficient control of heating/cooling or for optimal comfort. However, also recommendations are given to building users, such as for predictive maintenance of machinery or how to use office resources most efficiently.

PREDICTIVE INTELLIGENCE automatically adjusts algorithms to understand changes in building and machine behavior. Customized algorithms are automatically rolled out to all building and machinery instances.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

NTT Facilities: Failure Prediction for Critical Air-conditioning System LG: Predictive Heating/Cooling Hager Group: Predictive Building Control Hotels: Reduced Operating Costs Guided AB: Predictive and self-learning house automation EnBW: Flexible Heat Power
NTT Facilities: Failure Prediction for Critical Air-conditioning System

NTT Facilities

Failure Prediction For Critical Air-conditioning System

LG: Predictive Heating/Cooling

LG: Predictive Heating/Cooling

Adaptive Hotel Solution to Minimize Energy Costs

Hager Group: Predictive Building Control

Hager Group

Predictive Building Control

Hotels: Reduced Operating Costs

Hotels: Reduced Operating Costs

Innovative software reduces heating costs > 10 %

Guided AB: Predictive and self-learning house automation

Guided AB

Predictive and self-learning house automation

EnBW: Flexible Heat Power

EnBW

Flexible Heat Power

Learn more with our videos.

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Predictive Sales

Even the best products or services are successful only if they meet your clients' demand. Therefore, it is essential to understand your clients.
Here, too, self-learning PREDICTIVE INTELLIGENCE can help because more and more sales-related data is available. Self-learning algorithms learn your clients' behavior and predict with high accuracy, for example, how your client will behave in the future.
This enables you to adjust to individual client wishes, although your clients have not mentioned them. In addition, it is possible, to partly automate customer sales care, for example in placing client-specific advertisements in online shops.

Our self-learning Artificial Intelligence Software Solution PREDICTIVE INTELLIGENCE supports you on all levels of Predictive Sales:

  • Predict product sales.
  • Discover influences on selling.
  • Enable client-specific advertising.
  • Reduce return shipment.
  • Recommend optimal prices.

PREDICTIVE INTELLIGENCE algorithms understand behavior changes and algorithms adapt automatically.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

Customer Analytics and Recommendations Customer Analytics and Recommendations Customer Analytics and Recommendations Customer Analytics and Recommendations Customer Analytics and Recommendations
Customer Analytics and Recommendations

IRL

Customer Analytics and Recommendations

Customer Analytics and Recommendations

DFKI

Customer Analytics and Recommendations

Customer Analytics and Recommendations

Vicar

Customer Analytics and Recommendations

Customer Analytics and Recommendations

Schirra IT

Customer Analytics and Recommendations

Customer Analytics and Recommendations

AWSi

Customer Analytics and Recommendations

Learn more with our videos.

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Streaming Analytics

Big Data turns into Smart Data if you analyze large data streams for highly complex data patterns in real time. In this way, you can avoid - future – inefficiencies.

PREDICITVE INTELLIGENCE analyzes extreme data masses which are delivered, for example, by machinery sensors. You get results at once, without time delay, even for complex analytics. Our solutions are specialized for highly-complex and fast calculation methods.

5,000 billion gigabyte of data was produced in 2003, worldwide. Only 8 years later, the same data volume was created in just 2 days. Today, it takes around 7 minutes to gather the same amount of data. Data – on its own – does not deliver value add. Intelligent analytics optimizes processes and cuts off inefficiencies before they occur.

However, it is important not to lose time with data management and analyzing. In many processes, time is the critical success factor, i.e. in machinery operation, in service level monitoring or tracking of logistics processes. Big data streaming is analyzed according to required rules and anomalies or (future) inefficiencies are discovered, at hoc. You are informed in real time, or your operative control is improved, automatically and at once. You can define your own rules in a flexible way, or you can use self-learning algorithms to discover hidden rules and generate them automatically.

Below mentioned reference projects prove which value add our self-learning analytics software solution PREDICTIVE INTELLIGENCE realized:

Discovering Communication Patterns Hager Group: Predictive building control Wittenstein: Predictive Maintenance Predictive and self-learning house automation
Police: Discovering Communication Patterns

Police

Discovering Communication Patterns

Hager Group: Predictive building control

Hager Group: Predictive building control

Wittenstein: Predictive Maintenance

Wittenstein: Predictive Maintenance

Guided AB: Predictive and self-learning house automation

Guided AB

Predictive and self-learning house automation

Learn more with our videos.

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Software modules

Our standard software PREDICTIVE INTELLIGENCE with its self-learning Artificial Intelligence algorithms delivers highly accurate predictions even in complex processes and discovers hidden anomalies in machine and human behavior. In addition, recommendations are given to avoid future inefficiencies. These recommendations are given to humans, i.e. machine operators in production, or control is done without human interaction, thanks to machine-to-machine communication. Depending on your analytical task, relevant modules are made available.

USP: When your processes change, our software understands future consequences of those changes, automatically. Therefore, no Data Scientist has to modify your Artificial Intelligence solution, anymore.

Analytics Discovery

  • Initial discovery of complex patterns
  • Continuous learning of changes
  • Automatic adjustment for instances

Analysis

  • Discovery of complex root causes
  • Transparency how to improve processes sustainably

Prediction

  • Highly accurate prediction of complex KPIs
  • Reliable planning of even strongly interwoven processes
  • Avoiding inefficiencies before they happen

Anomaly Detection

  • Discover anomalies in processes or machine behavior
  • Clearly assess process anomalies and those anomalies which lead to bad performance, failure, ...

Simulation

  • Assess changed processes before implementing organizational or technical changes
  • Execute What If Scenarios and find best solution for future process execution

Predictive Control

  • Integrating optimization into operative control
  • Automatic and continuous optimization of operative processing

Data + User Management

  • Interface management
  • Data processing
  • Data cleaning
  • User management

PREDICTIVE INTELLIGENCE has a flexible architecture. It can be run on Linux or Windows, can use SQL or SAP HANA© and is GPU-enabled for high performance.
It can be easily integrated into your IT architecture (cloud, on premise, edge), either with own user interfaces, or as analytics core to send results into your existing systems.

Learn more with our videos.

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Awards - Innovation is Key

Although IS Predict is still a young company, its software solutions have been awarded with several innovation awards. This acknowledges our solutions' innovative character.

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Due to IS Predict's highly innovative solutions, the company is integrated into Professor August-Wilhelm Scheer´s innovation network Scheer Holding.