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1. Le radiateur intelligent Lancey, probable futur « pilier » des smart grids2. Bosch, Cisco and Foxconn join blockchain and IoT consortium3. Why artificial intelligence could be key to future-proofing the grid4. Energy Harvesting Extends The IoT To Billions Of Smart Assets5. The Distributed Energy Resource Management System Comes of Age6. Avec Scale Zone, IBM et Sigfox industrialisent les start-ups IoT

Le radiateur intelligent Lancey, probablefutur « pilier » des smart gridsSource URL: http://www.les-smartgrids.fr/innovation-et-vie-quotidienne/28012017,le-radiateur-intelligent-lancey-probable-futur-pilier-des-smart-grids,2021.htmlRédigé par Mélissa Petrucci | Le 28 janvier 2017 à 15:38

Une jeune entreprise basée à Grenoble a mis au point un radiateur intelligent,alternative moderne au convecteur classique. Ce dernier est équipé d'une batterieet présente des caractéristiques qui lui ont permis de remporter le prix « Vitrine de

l’Innovation » lors du salon Pollutec 2016.

Des recherches publiées par l'INSEE en 2015 démontrent que plus d'un ménage françaissur cinq est victime de précarité énergétique. C'est ce phénomène qui a poussé lesfondateurs de Lancey Energy Storage, start-up grenobloise, à mettre au point cetéquipement de chauffage intelligent.

Pour Raphaël Meyer, président de cette start-up, le fait d'avoir inclus un système destockage dans le radiateur permet à terme de faciliter l'intégration des énergiesrenouvelables.

Ainsi, le radiateur embarque une batterie au lithium qui stocke suffisamment d'énergiepour lisser les pics de consommation quotidiens (entre 18h et 20H). Pour l'optimisation desa consommation, le radiateur communique avec le compteur intelligent Linky, mais estégalement capable d'interagir avec un boîtier Wifi. Au final, les données deconsommation vont pouvoir être plus précises et personnalisées selon les usages dufoyer. Une aide non-négligeable dans la course aux économies d'énergie.

Selon Lancey Energy Storage, une des premières possibilités d'économie concerne lefonctionnement intrinsèque de la batterie, qui optimise elle-même les pertes. Pour lesspécialistes des domaines de la maîtrise de l'énergie et de la rudologie , cela s'appellela « chaleur fatale », qui représente une perte de 15% d'énergie. Mais le système deLancey permet de la valoriser, assure Raphaël Meyer. Le coût global du radiateur estégalement moindre grâce à l'absence de moduleur, une pièce onéreuse qui favorisel'usure des appareils de chauffe classiques.

Le radiateur Lancey est ainsi un élément essentiel des smart grids de demain, car ilproduit une interaction en le distributeur d'électricité et le consommateur final. La batteriepeut par exemple se recharger à la demande du réseau hors des périodes de pointe afinde limiter la surcharge.

Une facture divisée par deuxLes tests montrent que le radiateur Lancey consomme 30% d'énergie de moins qu'unradiateur classique, ce qui permet au final de diviser par deux la facture de chauffage, dequoi réfléchir à cet investissement. Le modèle sera lancé très prochainement, avec dansun premier temps une distribution par lots, auprès de bailleurs.

Lancey espère vendre 2 000 unités en 2017, pour accélérer en 2018, avec un objectif de10 000 unités à écouler.

Bosch, Cisco and Foxconn joinblockchain and IoT consortiumSource URL: http://www.ibtimes.co.uk/bosch-cisco-foxconn-join-blockchain-iot-consortium-1603508

Intéressants témoignages.

Group includes BNY Mellon, Bosch, Cisco, Gemalto, and Foxconn, aswell as a host of blockchain start-ups.

A new industrial blockchain initiative has been launched to define the standards andprotocols for distributed ledger and the 'internet of things' (IoT), including Fortune 500firmsBNY Mellon,Bosch,Cisco,Gemalto, andFoxconn, as well as a host of blockchainstartups.

The initiative was born at a meeting back in December, New Horizons: Blockchain x IoTSummit. Participants in the discussions included blockchain companies Ambisafe, BitSE,Chronicled, ConsenSys, Distributed, Filament, Hashed Health, Ledger, Skuchain, andSlock.it.

The initiative, according to a statement, was motivated by the leaps made by startups andlarge, blue-chip IT firms in deploying blockchain-registered tamper-proof hardware forvarious use cases and making new blockchain-based software systems available toenterprises.

The group agreed that security, trust, identity, and registration and verification would bethe cornerstones of any common protocol, while also acknowledging the need forintegration and inter-operability across multiple chip types, communication protocols,proprietary platforms, cloud-service providers and blockchain systems.

A blockchain-technology industry consortium emerging from the meeting would moveforward in defining the scope and implementation of a smart-contracts protocol layeracross several major blockchain systems, with elective steer from the attending Fortune500 companies. The functioning of the group is voluntary at this stage with intent toemphasise nimble and fast-moving open source collaboration with any formalmembership or governance structures emerging if and when necessary, it said.

Skuchain Co-founder Zaki Manian said: "We called together leaders in blockchain,hardware, software, venture capital, technology and finance to discuss the barriers tointeroperability and security within IoT and how we can complement existing IoTplatforms with a blockchain back-end. We believe there is a real value proposition here forIoT, supply chain and trade finance."

Dirk Slama, chief alliance officer at Bosch Software Innovations, said "We are seeingtremendous potential for the application of blockchain in industrial use cases. Being ableto create a tamper-proof history of how products are manufactured, moved andmaintained in complex value networks with many stakeholders is a critical capability, egfor quality assurance and prevention of counterfeits. This must be supported by a sharedblockchain infrastructure and an integrated Internet of Things protocol."

"Blockchain has the power to improve resiliency and efficiency in a fully connectedworld," said Alex Batlin, head of blockchain at BNY Mellon. "What 's missing today is asolution that provides trusted, tamper-proof guarantees for any title deed, public record,compliance event, or transaction, building on the way paper documents are used

currently."

Joe Pindar, in the CTO's office at Gemalto, said: "Securing identity for physical propertyand packaging is going to be a big business opportunity over the next decade, high valueparts of logistics supply chains and regulated industries like energy, pharmaceuticals, andcold chain could all see a blockchain component over the next decade."

Jack Lee, managing partner at HCM Capital, an investment arm of Foxconn TechnologyGroup, said: "We are excited to see leaders in the Blockchain and IoT space comingtogether from America, China, France, and Germany to develop a standard BlockchainIoT protocol. This is a positive step towards industry confidence, momentum, andinteroperability. We're looking forward to collaborations in this space in the near future."

"In order to power the sharing economy, door locks, autonomous vehicles, and electriccharging stations will need to have secure identities," said Slock.it co-founder and CTOSimon Jentzsch. "We are already working on a number of use cases; by teaming up withthis consortia, we can create common primitives to register and verify hardware identitieson blockchain."

BitSE CTO Patrick Dai said: "If we want to secure the internet of things we need tostandardise how we identify, manage and communicate with internet-enabled devicesthrough blockchain technology. With a standardised protocol, more people will be able toshare in these benefits."

Joseph Lubin, founder and CEO of ConsenSys, said: "ConsenSys is very excited to bepart of a group pursuing rationalisation and standardisation of the interfaces linkingblockchain and a potentially very wide variety of devices. This group has the expertise tocraft sufficient yet elegant interfaces, and our energy-projects group and supply-chainmanagement projects group are eager to see how we can apply these to our ownsystems."

Ambisafe co-founder and CEO Andrei Zamovskiy said: "We are excited to be a part of aninitiative to create a secure, transferable, notary-enabled and payments-enabled identityfor any physical thing, object, device or machine."

Ledger CTO Nicolas Bacca added: "We are building a new generation of hardware withsecure elements, strong cryptography and open firmware to secure the IoT. We're excitedto contribute to innovative identity protocols extending the concept of "object passports"to blockchain technologies."

Why artificial intelligence could be key tofuture-proofing the gridSource URL: http://theconversation.com/why-artificial-intelligence-could-be-key-to-future-proofing-the-grid-71775A recent Conversation piece pointed out that the British electricity mix in 2016 was thecleanest in 60 years, with record capacity from renewable energy, mainly from wind and

solar power. But one problem with this great expansion in renewables is they areintermittent, meaning they depend on weather conditions such as the wind blowing or sunshining. Unlike conventional power, this means they can’t necessarily meet surges indemand. Hence many press headlines in recent years about the “lights going out”.

National Grid, the UK grid operator, has several ways of ensuring supply can always meetdemand. For shorter gaps in generation, it asks electricity suppliers to run theirconventional power stations at below maximum potential output and ramp up as needed.

For longer gaps, it ensures power stations, particularly gas-based ones, are kept onstandby. Some stations may only be asked to generate power for between several dozenand a few hundred hours a year. Besides contributing to carbon emissions, operatingpower plants for such short interventions is expensive.

The question is what to do about this problem. We could build less renewable power andmake conventional power “greener” instead by removing the CO₂ and burying itunderground. Opinion divides on when these carbon capture technologies can be madecommercially viable on a large scale. In the UK, unfortunately two government kickstarterprojects have floundered due to concerns about costs and departmental disagreements.

An alternative is to install very big (“grid scale”) batteries capable of storing renewablepower to be released when required. This has generated a lot of interest lately. But giventhe costs of current battery technology, grid-scale storage requires expensive upfrontinvestments.

Solutions on demandWhile researchers study these problems, the UK is developing an alternative knownasdemand-side response. One aspect involves rewarding certain electricity consumers forreducing their usage at short notice. This can range from large industrial customers tosmaller consumers using power for heating rooms, cooling, lighting or even refrigeration.

The other aspect of demand response involves asking customers who own equipmentthat can store power to help balance surges in demand. For example, the owners of ahouse equipped with solar panels and corresponding battery storage might reducerepayment costs on the equipment by making the battery units available to the grid. Otherequipment in this category includes electric vehicles and hospital/universityuninterruptible power supply (UPS) units.

Both types of demand response are happening already. Some industrial power customersand certain other companies such as hotel operators have contracts for reducing power,while National Grid has been attracting much bidder interest for power storage schemesand has some underway in parts of the country. This storage is an alternative to deployinglarge-scale batteries, and promises to be much more economical if we can make it workon a large enough scale.

The problem is that these schemes get more complicated once the pool of customersgets beyond a certain size. Knowing which customers to sign up and what tariffs to offerrequires understanding to what extent devices will be available and at what cost, forexample.

Once a pool of customers is set up, some devices might not always be available forstorage or reducing demand when needed. This needs to be factored into the calculationsboth to minimise grid disruption and incentivise customers to participate at these times.

There can also be undesired effects, such as large simultaneous rebounds inconsumption. For example many refrigerators will draw extra power to get their internaltemperature below the required level when a demand response period ends.

Finally there’s a potential major security issue: a central system that collects data aboutenergy usage from many devices may be prone to malicious attacks and informationtampering. This could undermine both grid balancing and keeping track of whatcustomers are owed.

How AI can help

Emerging artificial intelligence technologies look like providing answers to thesechallenges. To select the best participants, for example, grid operators will be able to usesophisticated machine-learning techniques to model the behaviour of individual devicesand battery storage units by reviewing data from smart meters and sensors.

Once signed up for grid storage, it should be possible to estimate the useful lifetime of abattery pack or unit by applyingprognostic algorithmsto its charging/discharging data.Owners will then receive appropriate compensation, plus the added incentive of knowinghow long their battery will last.

When it comes to managing devices in the pool, people used to think we could useindividual smart meters or control devices to feed a central server in the cloud. But metersare expensive and the short response times require the cloud server to analyse data inmilliseconds, which looks unfeasible once many thousands of units are in a pool.

An alternative is to have metering devices which detect demand levels on the gridthemselves and reduce power accordingly. These take pressure off the central server andit only requires metering at site level, rather than for every electrical device. But it stillleaves you with a complex control problem in coordinating all these individual decisions.We at Heriot-Watt are working on a solution to this using AI-based algorithms.

Another line of AI research draws on insights from algorithmic game theorytodevelopreward/penalty mechanisms which ensure enough customers in the pool arewilling to participate, and actually respond when necessary. Researchers are alsooptimistic that blockchain protocols, using the same technology as Bitcoin, couldunderpin a decentralised ledger system that would get round the security risk of having asingle storage point for user data.

Numerous AI research groups, both in the UK and elsewhere, have been addressing thesechallenges, while a number of start-ups have started developing such systems in practice– relatively simple versions of machine learning are now beginning to be used, forinstance. The UK has a good chance to be at the forefront of international efforts to makesmarter demand response a reality over the next few years.

Energy Harvesting Extends The IoT ToBillions Of Smart AssetsSource URL: http://www.mbtmag.com/article/2017/01/energy-harvesting-extends-iot-billions-smart-assetsShare to FacebookShare to TwitterShare to ImprimerShare to EmailShare to Plusd'options...Bill Stevenson

The promise of the Internet of Things (IoT), termed by some to be part of an “Industry 4.0”revolution, is that it can extend a digital life to tens of billions of endpoints, create smartassets and smart infrastructure, and ultimately turn operational functions into strategicimperatives. If Industry 4.0 is to grow and flourish as envisioned it will be dependent, atleast initially, on endpoints and networking infrastructure that is much less expensive todeploy and easier to manage than the “always on” IP infrastructure that’s come to definethe opportunity. Rather, it needs to have a useful life equaling that of the assets on whichit is deployed.

Smart assets are changing the economics of manufacturing. It is common for equipmentto be instrumented to measure usage, energy consumption, efficiency, fluid levels andother operational characteristics. No doubt, the return on investment has made itrelatively cost-neutral to deploy IP networking for metric monitoring. Remote trendanalysis now facilitates improvements in scheduling, utilization, and maintenance, oftenproviding measurable improvements in production economics.

Technology is now enabling the smart asset opportunity to be extended from measuringoperational characteristics of capital equipment to managing the lifecycle of the parts andcomponents that make up that equipment. Data about specifications, configuration,authenticity, usage, wear and maintenance, are just a few examples of realizing value byadding data to the component itself. This provides information that can facilitateequipment assembly, configuration, maintenance, safety and compatibility, whichfundamentally improves the lifecycle management of the components of the capitalequipment.

But it is energy harvesting technology that enables the extension of smart assettechnology to billions of components at the edge of the IoT. IP networking has becomemuch cheaper and more efficient, but an always-on network endpoint device is going torequire a source of power — either hardwired or from a battery. This is not a problem forinstrumenting a large piece of equipment, which will typically either be connected to apower source or may be itself a source of power, such as an aircraft engine. But it iscertainly an issue if the objective is to distribute data to the hundreds or thousands ofcomponents that make up the device. These smart assets require simple, low cost, long-lived data storage and networking devices. Having to hardwire or manage batteries insuch use cases would destroy the economics.

RFID tags that harvest power from radio signals have been used for almost two decadesnow. But the small amount of power available means that these tags had very limitedfunctionality, responding only with an identification number that had to be matchedagainst a central database to be meaningful.

Moore’s Law now makes it possible to build small, low cost, rugged RF-enabled passivedata platforms that can be connected to and power sensors to provide distributed dataand periodic sensor readings and network communications. These devices can harvestpower from the radio waves used to communicate with them, and have sophisticatedpower management circuity that enable extremely small amounts of energy to power avery large volume of internal memory, a connected sensor and data communication overan RF network.

Power harvested from ambient RF signals will typically be measured in microwatts. Today,it may be insufficient to power always on devices. To do so requires devices that areextremely efficient in capturing storing, and managing the use of power. Devices need tobe small, inexpensive and very rugged, allowing them to be manufactured into manytypes of structures. They can be read from and updated by simple readers based onSmartphones or tablets, providing information at the point of use, and providing capabilityto synch with a cloud database if required. Data on specs, configuration, maintenancehistory, and sensor readings like corrosion and stress need not be real time. Weekly,monthly or even annual updates may be sufficient. In return they provide a distributeddata platform that can be the foundation for dramatic improvements in componentmanagement and maintenance over years- or decades-long lifecycles.

Airbus pioneered the use of distributing data to smart components on its airframes usingthousands of distributed data tags that harvest power from RF signals, rather thanbatteries. The smart components improve the assembly process — product metadatabecomes part of componentry, so as to greatly simplify managing them through thesupply chain and validating proper installation. Airline customers are now beginning touse these smart components to improve operational and maintenance processes — suchas validating that all required cabin equipment is on board, and that time- or use-limitedproducts are airworthy. Maintenance history becomes available to service organizationsanywhere in the world. Because the distributed tags are powered by the RF signals of thereaders, they are only “on” and transmitting when interrogated. This limits the RF noise onthe aircraft, a requirement in aviation applications.

Infrastructure such as highways and pipelines can use energy harvesting data tags andsensors to provide periodic reporting on stress or corrosion, or to provide maintenancehistory and configuration data to field service personnel, even in remote locations.Intriguingly, equipment like electrical meters or cell phone base stations (which aretypically instrumented to report on usage and other data) often still rely on paper recordsto maintain specification, configuration, and maintenance data. Embedding thisinformation in the equipment using inexpensive energy harvesting tags greatly facilitatesthe field service and maintenance process.

Devices and sensors that rely on power harvesting provide an ideal platform fordistributing and maintaining operational data at the “edge” and can provide thisdistributed data to users with inexpensive smart phone readers. This greatly extends theIoT opportunity to deploy smart assets in a much wider range of new use cases, morequickly.

The Distributed Energy Resource

Management System Comes of AgeSource URL: https://www.greentechmedia.com/articles/read/the-distributed-energy-resource-management-system-comes-of-ageABB picks Enbala to extend grid controls to behind-the-meter energy assets, andSiemens launches a unified DERMS platform.January 31, 2017

It’s the first day of the big DistribuTech conference in San Diego. Grid giants and startupsare unveiling their latest products aimed at connecting utilities with the grid edge.

Let’s start with Enbala, the Vancouver, Canada-based startup that has deployed itssoftware platform to turn industrial energy loads like pumps and refrigerators intomegawatts' worth of fast-responding grid assets. On Tuesday, it announced its biggestpartner yet: Swiss grid giant ABB, which has tapped Enbala’s Symphony softwareplatform as part of a new, jointly developed distributed energy resource managementsystem (DERMS).

The term "DERMS" applies to software that can integrate the needs of utility gridoperators with the capabilities of flexible demand-side energy resources at the edges ofthe grid. DERMS platforms come in all shapes and sizes, from grid giantslikeSiemensandGeneral Electric, to startups likeAdvanced Microgrid Solutions, BluePillar,AutoGrid,Opus One,Power Analytics,Spirae,Smarter Grid Solutions, and therecentlyacquired Viridity Energy.

But for the most part, they’ve typically been organized in two different ways -- top-downextensions of utility or grid operator controls out to customer endpoints, or bottom-upaggregations of customer loads into grid energy markets. Enbala and ABB’s comboDERMS platform intends to erase this distinction, Enbala CEO Bud Vos said.

Bridging the utility-customer energy divide with data and controls

On the utility side, ABB brings a well-known set of tools, like its advanced distributionmanagement software (ADMS) with its “single network model” and “unified geospatialcontrol center operator environment." These are tools used by utility operators to monitorand respond to changes on their distribution grids. “Our platform is an extension of theADMS platform, and tightly integrated with that ADMS framework,” Vos said. ”It providescohesiveness, from an operational standpoint and from a data standpoint.”

Enbala, in turn, brings a software platform that can tap into hundreds of individual loadsper customer, collect and analyze their data, and then start to subtly shift their energy-usepatterns in effective and profitable ways. Sometimes that means moving big water-pumping schedules to times of the day when electricity isn’t in high demand. Other timesit involves turning thousands of water heaters and refrigerators on and off in response to4-second signals to help balance grid frequencies.

So far, Enbala has been aggregating responsive energy loads on behalf of its customers infrequency regulation markets run by mid-Atlantic grid operator PJM and Ontario'sIndependent Electricity System Operator. As one of several partners in the PowerShiftAtlantic project, it has also used its software platform, managed by employees at its

network operations center, to help control customer loads to firm wind power forCanadian utility NB Power.

In the past year or so, Enbala has been getting more into the distribution grid side ofthings. At last year’s DistribuTech, the company was demonstrating pilot projects inHawaiiusing rooftop PV solar inverters, and aproject in Southern Californiamodeling bigindustrial and commercial loads’ potential to help balance grid disruptions.

“We think we’re going to see hundreds of thousands, if not millions, of connected energydeices coming to market,” Vos said. “You’ve got to be able to optimize millions of assetsin seconds, or even sub-second timescales, and with accuracy, to know that power ismoving to the right places at the right time.”

Enbala has also kicked its computing capabilities up a notch with its latest rollout, hesaid. “Under the covers of this release, we’ve updated our learning algorithms andoptimization algorithms,” he said. It is using a software language called Erlang, originallybuilt for the telecommunications industry, that can run millions of simultaneoustransactions at a speed that allows for real-time decision making.

The expanding DERMS landscape: Siemens, ABB, General Electric

It’s hard to define the DERMS competitive landscape, since it’s such a new field. But GTMResearch predicts that the North American DERMS market will reach $110 million by2018, as today’s pilot projects start to become operationalized at utilities in states withlots of distributed energy to handle, like Hawaii and California. And ABB isn’t the only gridgiant trying to colonize the DERMS space.

Take Siemens, which launched its own DERMS product at DistribuTech on Tuesday,complete with “tools that provide data and visibility across the energy system, fromdistribution grid planning to market forecasting.”

The new DERMS platform is built on Siemens’ work on microgrids, a big focus of thecompany's efforts at DistribuTech conferences over the past few years. This workincludes partnerships with startup Utilidata, as well as adaptations of the company’sSpectrum 7 control software into local grid applications.

To date, Siemens has rolled out these capabilities in microgrid projects with universitiesand government partners, such as the Department of Energy-funded microgrid projectwith Case Western Reserve University and NASA. But it’s also linking those microgrids toutility systems, said Mike Carlson, president of Siemens Smart Grid North America, in aninterview.

On the data side, Siemens released an integrated application for its EnergyIP software onTuesday, combining distributed energy management, virtual power plant capabilities anddemand response on one platform. EnergyIP, built on the software of Siemens acquisitioneMeter, “is architected for a true real-time, cloud-based IOT system,” Carlson said,capable of giving grid operators second-by-second control and analysis capabilities.

“What we built is very modular, or scalable, or agile, components that you can bolt ontoexisting capabilities, and scale them based on size, or capability,” he said.

The costs for standing up a microgrid range from the low six figures for simpler

applications, up to the millions of dollars to enable sub-second monitoring required forcertain grid applications, he said. But that’s “about half the cost of a traditional enterprisedeployment,” since it has already combined all the requisite pieces of the microgridpuzzle.

General Electric, which has invested in Enbala through GE Energy Ventures, has also beenpromising a DERMS offering, built on the work it’s been doing with Duke Energy’sCoalition of the Willing, and the Nice Grid project in southern France. GE has also beenworking with Enbala on a project under the Department of Energy’s ARPA-E NODESprogram.

Vos noted that Enbala’s work with ABB is a non-exclusive partnership, freeing it to workwith multiple partners. Right now the company has six projects, including two contractsfor virtual power plants and two regulated utility DERMS contracts that are focused onoptimization of distribution feeders.

Avec Scale Zone, IBM et Sigfoxindustrialisent les start-ups IoTSource URL: http://www.silicon.fr/avec-scale-zone-ibm-et-sigfox-industrialisent-les-start-ups-iot-168332.htmlIBM et Sigfox ont lancé le programme Scale Zone, pour épauler des start-ups dansl’industrialisation de leurs solutions et accéder aux grands clients.

Il y avait du monde dans les locaux d’IBM France pour inaugurer le programme ScaleZone jeudi 2 février. Le maître des lieux Nicolas Sekaki, président d’IBM France, aprésenté cette initiative à destination des start-ups. « Beaucoup de choses sont faitesautour des start-ups, incubateur, pépinière, accélérateur… nous avons cherché une autrevoie pour les aider », rapporte le dirigeant. Et d’ajouter que « nous avons détecté deuxproblèmes majeurs : l’industrialisation des produits et le penser business avec un accèsaux grands clients ».

La première édition de Scale Zone est dédiée à l’IoT. C’est donc tout naturellementqu’IBM France s’est associé avec Sigfox. Ludovic Le Moan, patron de la pépitetoulousaine, a rappelé que « l’Internet des objets c’est une quantité pharaonique dedonnées qu’il faut valoriser. Il y a donc un intérêt à travailler avec des partenaires commeIBM et Watson IoT ». Sur Scale Zone en particulier, le co-parrain, y voit « une appétencepour la création d’entreprise et la façon de penser grand, Big Scale. Il y a des paris à fairepour l’avenir ». Et d’évoquer l’exemple d’une société qui a inventé un capteur pouranalyser l’eau des piscines et qui, en pensant grand avec le Big Data, est devenue unleader mondial des produits de piscine.

Exemples de start-upsPour cette première promotion, les deux parrains ont choisi 11 start-ups orientés IoT.Elles seront accompagnées pendant 6 mois par un référent business et un référent

technique. L’ambition des jeunes pousses rencontrées est d’industrialiser leurs solutionset acquérir plus de crédibilité vis-à-vis des grands comptes. C’est le cas de Savecode,présent sur scène, qui a développé une plateforme analysant depuis des capteurs lecomportement des automobilistes dans une démarche de réduction de la pollution.Christpohe Meunier-Jacob, CEO et co-fondateur (à droite sur la photo), constate : « Nousavons un problème pour accéder aux gros clients comme les constructeurs automobileset surtout aux gros contrats, car nous ne disposons pas d’un grand service juridique. » Leprogramme Scale Zone va donc lui apporter cette expertise, mais pas uniquement. «Avec la connectivité Sigfox, on va pouvoir mieux valoriser les données en apportant desservices de maintenance prédictive sur l’usure des pièces dans l’automobile en fonctiondu comportement des automobilistes. »

Un autre exemple est celui de Skiply. Cette start-up cible la satisfaction client parl’intermédiaire de boutons (cf illustration). Ces derniers sont connectés via Sigfox et leurprolifération fait émerger de nouveaux business. « Par exemple dans la restauration, ladirection peut changer les menus en fonction de la satisfaction des gens, idem pour leséquipes de serveurs », indique Jérôme Chambard co-fondateur de Skiply. Pour lui, laScale Zone est « une opportunité de travailler avec IBM pour industrialiser notre solution ».

Les autres start-ups ont les mêmes ambitions, nous précise Christian Comtat, patron dela division IoT d’IBM France. « Les projets sont matures et elles ont des clients, mais ellesont besoin d’aide pour passer des PoC (prototypes, NDLR) à la concrétisation industriellede leurs solutions. L’action d’IBM et de Sigfox s’inscrit dans cette démarche », souligne ledirigeant.