AI Use Cases

GenAI Accelerator

loT & Edge Plat­forms as the basis for new
innov­at­ive products


The Inter­net of Things (IoT) enables innov­at­ive products in areas such as insur­ance, drug optim­iz­a­tion, facil­ity man­age­ment and energy effi­ciency. Sup­ple­men­ted by edge plat­forms, data pro­cessing is car­ried out dir­ectly on the devices, which enables faster ana­lysis and reac­tion in real time. 

Descrip­tion


The Inter­net of Things (IoT) enables innov­at­ive products in areas such as insur­ance, drug optim­iz­a­tion, facil­ity man­age­ment and energy effi­ciency. Sup­ple­men­ted by edge plat­forms, data pro­cessing is car­ried out dir­ectly on the devices, which enables faster ana­lysis and reac­tion in real time. 

Ser­vices

Com­pon­ents of an IoT and Edge Platform




The cent­ral build­ing blocks of an IoT and edge plat­form are device man­age­ment, integ­ra­tion man­age­ment, data man­age­ment, apps and ser­vices, edge ana­lyt­ics, report­ing and ana­lyt­ics as well as security. 

The first step is the import­ant make-or-buy decision when select­ing an IoT and edge plat­form. Edge plat­forms such as AWS IoT Green­grass or Azure IoT Edge com­ple­ment cloud solu­tions by per­form­ing cal­cu­la­tions and ana­lyses dir­ectly on devices or close to the data source. With synvert, you gain a part­ner with expert­ise in lead­ing cloud- and edge-based tools spe­cific­ally designed for com­plex IoT environments. 

Com­pon­ents

The path to loT- and Edge-based products



Pro­cessing a high volume of data from dif­fer­ent devices in real time edge plat­forms – enable local pro­cessing of data dir­ectly at the source. This reduces latency times, relieves the bur­den on cent­ral cloud sys­tems and optim­izes decision-mak­ing in real time.

Data integ­ra­tion of dif­fer­ent IoT data sources – the added value of an IoT solu­tion is cre­ated by com­bin­ing dif­fer­ent data sources from dif­fer­ent devices. Edge plat­forms take over the local pre-pro­cessing of the data and trans­fer it to cent­ral sys­tems in a tar­geted and effi­cient manner.

Ana­lysis of IoT data – edge ana­lyt­ics iden­ti­fies pat­terns and anom­alies dir­ectly on edge devices. This enables pre­dict­ive main­ten­ance, real-time mon­it­or­ing or auto­matic responses, such as optim­iz­ing the cus­tomer exper­i­ence through local sensor data analysis.

Secur­ity & Com­pli­ance – the secur­ity of IoT and edge applic­a­tions requires robust mech­an­isms for device authen­tic­a­tion and data encryp­tion. Stand­ards such as IEEE 2413–2019 and proven best prac­tices help to secure dis­trib­uted devices and edge nodes.

Optim­iz­a­tion of band­width and net­work load – local pro­cessing on edge devices sig­ni­fic­antly reduces data traffic to the cloud. This saves band­width, reduces costs and ensures that only rel­ev­ant and pre-filtered data is trans­ferred to cent­ral systems.

Reli­ab­il­ity and resi­li­ence – edge plat­forms ensure con­tinu­ous data pro­cessing, even with lim­ited net­work con­nectiv­ity. Decent­ral­ized ana­lyses and decision-mak­ing pro­cesses ensure that sys­tem func­tion­al­ity remains reli­able and stable regard­less of the cloud.

Advant­ages

Our main advant­ages


With our extens­ive exper­i­ence in all lead­ing cloud tech­no­lo­gies, the use of diverse com­put­ing clusters and state-of-the-art ana­lysis meth­ods, synvert is the ideal part­ner for your next IoT and edge plat­form pro­ject. We sup­port you in select­ing the optimal tech­no­lo­gies and work with you to design the required data infra­struc­ture so that you can exploit the full poten­tial of your data. Our goal is to help you gen­er­ate real added value from your IoT applic­a­tions. Rely on our expert­ise to suc­cess­fully imple­ment your IoT project. 



Ana­lysis of a use case 


Our team is on hand to ana­lyze your IoT and edge use case in depth and work with you to define the desired out­comes of your pro­ject. Using edge plat­forms, we invest­ig­ate what data can be pro­cessed dir­ectly on-site to ensure fast res­ults and optim­ized sys­tem oper­a­tions. We help you answer key ques­tions and identify tar­geted solu­tions that integ­rate both cloud and edge com­pon­ents. We also sup­port you in cre­at­ing a proof-of-concept that assesses the feas­ib­il­ity of your idea and provides a tan­gible demon­stra­tion. This ana­lysis pro­cess ensures that your IoT and edge ini­ti­at­ive is built on a solid found­a­tion and meets your spe­cific requirements. 


Design of a cloud and edge architecture


With our wealth of exper­i­ence in cloud and edge archi­tec­ture, we can help you man­age the large volumes of data typ­ic­ally asso­ci­ated with IoT pro­jects. Our team of experts will design a cus­tom­ized, hybrid archi­tec­ture that optim­ally com­bines cloud resources with edge plat­forms. This ensures that data pro­cessing and ana­lysis take place dir­ectly at the point of ori­gin, while cent­ral cloud sys­tems are used for fur­ther ana­lysis and long-term stor­age. We place par­tic­u­lar emphasis on scalab­il­ity, secur­ity and per­form­ance in order to cre­ate real added value for your company.


Ana­lysis of loT and edge data


Ana­lyz­ing loT and edge data Would you like to graph­ic­ally dis­play or mon­itor heat­ing and usage data for indi­vidual office spaces in real time? With edge plat­forms, such data can be pro­cessed and ana­lyzed loc­ally, enabling real-time responses. Are you inter­ested in fore­casts, such as the clean­ing require­ments of cer­tain areas? Our experts use state-of-the-art tools and tech­niques such as machine learn­ing and edge AI to provide you with both local and cloud-based ana­lyses. Together, we can help you gain valu­able insights and use your IoT data effi­ciently and in a tar­geted manner. 

Tools

Our tools




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