5 Mis­con­cep­tions

Se­cu­rity, scal­a­bil­ity, con­nec­tiv­ity, im­ple­men­ta­tion and upgra­da­tion are the per­ceived bot­tle­necks

Voice&Data - - CONTENT - Vikram ku­mar CEO & Founder, Let­strack

IIoT – In­dus­trial In­ter­net of Things is cre­at­ing a buzz in the man­u­fac­tur­ing in­dus­try. In­dus­trial IoT in­cor­po­rates a lot of tech­ni­cal­i­ties sim­i­lar to in­dus­trial set­tings that have ex­isted for many years in au­to­mo­tive in­dus­try. By com­bin­ing sen­sor data with the ma­chine to ma­chine com­mu­ni­ca­tion, pro­cesses can be learned, re­fined and im­ple­mented in lim­it­less ap­pli­ca­tions.

In­dus­trial IoT is ex­tremely ben­e­fi­cial for OEMs. Use of data and dig­i­tal an­a­lyt­ics can not only help OEMs in smoother op­er­a­tions but can also in­crease ef­fi­ciency in the main­te­nance of their port­fo­lio. IoT in the au­to­mo­bile in­dus­try is bring­ing a shift for op­er­a­tors from re­ac­tive re­sponses to pre­dic­tive re­sponses. OEMs can drive real-time in­tel­li­gence where op­er­a­tors can ef­fi­ciently re­ceive the right in­for­ma­tion at the right time and place.

Many OEMs, how­ever, are hes­i­tant to im­ple­ment IoT in their of­fer­ings. De­spite the many ben­e­fits, OEMs are not tak­ing com­plete ad­van­tage of IoT and still have mis­con­cep­tions about it.

Mis­con­cep­tion 1: IoT is Not Se­cure

Since IoT is all about con­nect­ing things and col­lect­ing data, a lot of OEMs show their con­cern about its se­cu­rity.

When data is moved from IoT de­vices to the cloud, the chances of at­tacks are in­creased.

Many start-up com­pa­nies are com­ing up with highly en­crypted se­cu­rity sup­port sys­tems which will help make an IoT de­vice or app more se­cure. Var­i­ous tech en­thu­si­asts and de­vel­op­ers are tak­ing full ad­van­tage of tech­nol­ogy by mak­ing sure their IoT en­abled prod­ucts are bug-free and se­cure.

Mis­con­cep­tion 2: IoT is Only About Con­nect­ing Things

These days, IoT is be­com­ing an overused term in the mar­ket de­spite its true us­age and im­por­tance is still un­clear not only to the reg­u­lar cus­tomers but also to the OEMs. The mis­con­cep­tion about IoT is only used for con­nect­ing things and peo­ple is mak­ing the term over dra­matic and hin­der­ing its ca­pa­bil­i­ties to boost com­pany rev­enues.

For prod­uct man­u­fac­tur­ers, IoT holds a great po­ten­tial to in­crease revenue, re­duce un­nec­es­sary costs and im­prove af­ter-mar­ket ex­pe­ri­ence for their cus­tomers. Analysing sen­sor data in the right way can help OEMs to have a bet­ter un­der­stand­ing of the cus­tomer’s ac­tual en­gage­ment and im­prov­ing the sales and mar­ket­ing strate­gies of their prod­ucts.

Mis­con­cep­tion 3: Im­ple­men­ta­tion of IoT is Com­pli­cated

IoT in­volves sev­eral dig­i­tal pro­cesses to es­tab­lish its func­tion­al­i­ties prop­erly. OEMs find the im­ple­men­ta­tion of IoT com­plex due to the de­ploy­ment of a vast num­ber of pro­to­cols. A mesh of var­i­ous net­works and wire­less tech­nolo­gies make IoT a com­pli­cated af­fair for OEMs.

There is no doubt that the num­ber of pro­to­cols en­abling de­ploy­ment of IoTis ex­ten­sive. But it is also a fact that there is no set stan­dard for com­pa­nies to fol­low. This gives OEMs sense of lib­erty to de­ter­mine their own cor­rect pro­to­cols mak­ing sure that the tech­nol­ogy they use is com­pat­i­ble with their over­all plat­form. In ad­di­tion, this also al­lows them to re­place or up­grade their own of­fer­ing in a bet­ter way.

Mis­con­cep­tion 4: It is Bet­ter to Build your Own IoT Anal­y­sis Team

OEMs un­der­es­ti­mate the re­sources that are re­quired to build an­a­lyt­ics. Ac­cord­ing to their es­ti­mates, it is eas­ier, quicker and bet­ter to build an in-house team for data an­a­lyt­ics. But the prod­uct man­u­fac­tur­ers must un­der­stand that hav­ing good soft­ware or hard­ware skills are just not enough for de­ploy­ing IoT.

Real IoT de­ployed projects re­quire the unique set of peo­ple in a team with vast ex­pe­ri­ence of work­ing with the dif­fer­ent tech­ni­cal el­e­ments. De­vel­op­ing and de­ploy­ing an­a­lyt­ics and in­sights in IoT prod­ucts re­quire the to­tally dif­fer­ent skill set than those tra­di­tional soft­ware prod­ucts.

Mis­con­cep­tion 5: It is Bet­ter to In­vest in Up­grad­ing Prod­uct Of­fer­ing

The ma­jor­ity of OEMs be­lieve that de­ploy­ing IoT in their prod­uct of­fer­ings means in­vest­ing in the Re­search and De­vel­op­ment of a new prod­uct al­to­gether. It is the mind­set of ev­ery man­u­fac­turer to make in­vest­ments in up­grad­ing their of­fer­ings rather than putting money to­ward adding new prod­ucts.

To­day, most of the au­to­mo­tive com­pa­nies are in­vest­ing heav­ily in up­grad­ing their ex­ist­ing port­fo­lio. The fact is if they are go­ing to in­vest in IoT, there will be a new va­ri­ety of mo­bil­ity and tech­nol­ogy with se­cu­rity in their port­fo­lio.

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