How to Scale for IoT?
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How to Scale for IoT?
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How to Scale for IoT?
- 1. 1 Internet of things Scaling IoT implementations more securely to get faster returns on IoT initiatives
- 2. IoT projects are evolving across industries But are these IoT initiatives delivering ROI yet? 2
- 3. Make better business decisions Many business leaders think of IoT initiatives as setting up devices to help them make better business decisions ..but a return on any IoT initiative depends on successfully generating actionable insights from the data to make better business decisions Collect data from disparate devices Generate actionable insights Ingest Process Analyze 3
- 4. Are you generating these insights fast enough? Gartner research recommends targeting an 18 month financial payback on any IoT initiative2 18 months Invest in IoT Collect data Make better business decisions Collect data Poor insights, limited impact 1: Internet of Things Primer 2018, Gartner 4
- 5. What leads to delays in scaling an IoT initiative? 5
- 6. Hidden issues increase cost and risk of failure Complex Infrastructure Security fears ML / AI capabilities No standard protocols What leads to delays in scaling an IoT initiative? 6
- 7. IoT initiatives at scale are generating huge volumes of data across industries Manufacturing Connected devices shop floor Connected products in field 0.5-4Tb/machine annually Healthcare Personalized medicine Asset tracking ~1Tb/mth Transportation Telematics Risk assessment 2-25Gb/hr Retail Marketing personalization Connected products ~4Gb/day/product line 7
- 8. 25 Bn devices by 2021, costing $5 Tn Of data gathered is properly analyzed1 Of IoT initiatives are failing275% 1% 1: Straight Talk About Big Data, McKinsey2: 75% of IoT projects are failing due to lack of expertise, Business Journal How much do you risk by overlooking this data and not achieving ROI quickly? 8
- 9. Master Big Data How would you use the huge amount of data being collected from devices? 9
- 10. Supercharge Innovation How would you use Machine Learning on your IoT data to provide answers to complex problems? 10
- 11. IoT is more than just connecting devices How would you unveil the real value of IoT projects by leveraging data to generate actionable insights? Securely connect things Scale big-data Generate actionable insights 11
- 12. Sensors determine availability of parking spaces Data routed wirelessly to cloud-based platform and aggregated with other sensors Creates a real-time parking map for drivers IoT initiatives can reduce parking & traffic congestion.. 12
- 13. ...but are these initiatives making full use of the data available from the devices to identify real innovation opportunities and create real ROI? Meter time extension High priority enforcement Efficient parking space utilization Real-time parking map for drivers 13
- 14. Scale your IoT implementations more securely with an innovative cloud platform Shorten your payback period0 18 14
- 16. Oil and GasManufacturing Utilities Smart Transportation Healthcare Retail 16
- 17. Reduce downtime with Predictive Maintenance Overall process optimization by real-time monitoring Supply Chain Optimization Increase the yield across your manufacturing lines Manufacturing
- 18. Predictive Maintenance of resources and machineries on production sites Optimize resource discovery using Machine Learning Remote Asset Tracking of expensive resources Oil and Gas
- 19. Real time fleet tracking on campus and remote monitoring Telematics and fleet management Condition based Predictive Maintenance Smart Transportation
- 20. Real time energy usage by neighbourhood and region, Smart-grid and Smart Meters Energy Demand Forecasting, Transmission and Distribution Ops and Predictive Maintenance Utilities
- 21. Proactive and Connected Asset Monitoring for assets like wheelchairs and beds Patient Re-admittance, Early Detection and Diagnostics Remote Tracking and Monitoring, wearables Healthcare
- 22. RFID based Inventory Management Beacons, Cameras, Geo-location based notifications Footfall Analytics and Promotion Automated Checkouts Retail
- 27. IoT initiatives are complex and expensive investments Public lighting represents 40% of a city’s utility costs Using IoT street lighting solutions could reduce these costs But setting up these IoT devices is just half the story, this project must scale quickly to ensure ROI
- 28. Internet of things Connect, manage and ingest IoT data Anticipate & respond to business needs Generate actionable insights Internet of Things
Notes de l'éditeur
- Warmer: IoT continues to evolve and morph with no true standards among the various technologies and vendors. It can be difficult to find a solution that works for you; one that gives you a true business return in a reasonable timeframe.
- Reframe: Many business leaders think of IoT initiatives as setting up devices to help them make better business decisions. Most do not understand how to make full use of the data being generated by these IoT devices for real innovation. They struggle with realizing the real return on investment that only comes from unlocking the power from generating actionable insights.
- Reframe: In fact, recent Gartner research recommends a target financial payback period of no more than 18 months or two years to achieve a solid financial return on your IoT investment. When payback timelines slip to multiple years or longer the likelihood of an ultimate positive return for the initiative falls dramatically. (Gartner)
- Reframe: In an effort to improve business returns most organizations think of scaling the initial IoT pilot. Many business leaders push hard to connect devices and collect data to generate relevant insights for critical business decisions in a timely manner. However, what many don’t fully appreciate are hidden delays that arise from managing a complex infrastructure, dealing with a specialized tech learning curve (ML/AI), security fears, having no standard protocols etc. Each of these hidden issues can increase cost, time and risk of failure.
- Reframe: In an effort to improve business returns most organizations think of scaling the initial IoT pilot. Many business leaders push hard to connect devices and collect data to generate relevant insights for critical business decisions in a timely manner. However, what many don’t fully appreciate are hidden delays that arise from managing a complex infrastructure, dealing with a specialized tech learning curve (ML/AI), security fears, having no standard protocols etc. Each of these hidden issues can increase cost, time and risk of failure.
- Rational Drowning: Not only are devices being connected and are generating extremely large volumes of data, it is happening in virtually every industry. If we look at manufacturing, we are seeing impact to every aspect of the business - from connected devices on the shop floor to connected products in the field. From a paper machine you know one that makes diapers, generating 4Tb of data per machine annually or perhaps a gas/steam turbine generating a Tb annually. Remember, this is per machine so if you have a fleet that you are managing, this can become substantial amounts of data. We have also seen IOT solutions in healthcare. Whether it is personalized medicine or asset tracking in the hospital. Continuous monitoring glucose today sends 10K compressed hourly posts expected to grow to about 1Tb per month. This is the compressed size. The extracted data will likely be 10X the compressed content. If we look at the transportation industry, we are seeing significant changes (but not just in self-driving technology). We are seeing applications in commercial vehicles and their suppliers. For example, we are seeing the use of telematics (with added sensors) to improve customer service by responding to early signs of failure in commercial vehicles and avoiding unexpected breakdowns and towing. The use of telematics and maps data to optimize the performance of commercial vehicles particularly when there is hybrid technology and they are entering cities, the last mile. Telematics data is being used not only in the transportation itself, but also in the insurance industry for better driver risk assessment - actual mileage driven, tire pressures, harsh/frequent acceleration, braking, turning. There is emerging new business models: insurance charged per mile and in-vehicle coaching. The amount of data expected from telematics is estimated between 2-25Gb/hr. If we look at the consumer products industries, we are seeing a number of use cases around marketing personalization, a large toy manufacturer would focus on re-inventing their business driving innovation and disruption can truly bring new meaning to connected cars. The expected potential data ~4Gb/day/product line.
- Rational Drowning: Gartner predicts the number of IoT devices will grow to an install base of near 25 billion devices globally by 2021. The investment value of those devices will be close to $4 trillion. In that same year the services spending to connect, implement and operate IoT will be near an additional trillion dollars. (Gartner) That’s a lot of money chasing the benefits of IoT, and can be a risky bet. Companies and consumers are spending significant sums on devices, hooking them up and gathering oceans of data, but how much of that data is bringing a return on the investment? It’s commonly stated now that only 1% of data gathered is properly analyzed (Mckinsey). Perhaps that’s why researchers recently estimated that 75% of IoT implementations are failing (Business Journal). What investments are you planning in IoT over the next five years? What do you foresee as your payback timelines on those investments? What plans do you have to most effectively use the data you plan to gather?
- Rational Drowning: There is data on a gigantic scale coming out of your IoT initiatives. Connecting IoT devices to collect data is just a part of the project, a rather small and easier one. Real challenges are in scaling your initiative to make more business sense, by using that data to generate meaningful and actionable insights.
- Rational Drowning: Would you rather invest in developing more use for your data to deliver better functionalities for your customers or invest resources in developing AI capabilities?
- Rational Drowning: IoT is more than just connecting devices, Mastering Big Data and ML in short amount of time is going to be a challenge as you scale IoT initiatives.
- Emotional Impact: Parking and traffic congestion are sources of frustration for drivers, merchants and public officials in most cities around the world. In the age of “smart” and the Internet of Things (IoT), it’s easy to see why smart parking solutions are considered innovative. Sensors determine whether the parking spaces are occupied or available. This data is routed wirelessly to a cloud-based smart parking platform. It is aggregated with data from other sensors to create a real time parking map, that is not where the real innovation lies. IoT innovation is not in the solution, but in what it allows organizations to become – agile, intelligent, and adaptive. Real problems, Real Opportunities, Real Innovations, Real Return on Investments: Meter time extension - What if smart parking solutions were configured to notify the driver that their parking meter is expiring soon, and allows them to extend the parking time through their phone? High value, high priority enforcement - What if the smart parking solutions can efficiently identify violators that pose potential safety risks? Parking incentives to drive business - What if merchants could offset their customer’s parking costs as incentive to get them in? Efficient citywide parking space utilization - Using historical parking and traffic information, parking analysts can adjust meter enforcement times, rates, and maximum parking times to fill up normally unoccupied spaces.
- Emotional Impact: Parking and traffic congestion are sources of frustration for drivers, merchants and public officials in most cities around the world. In the age of “smart” and the Internet of Things (IoT), it’s easy to see why smart parking solutions are considered innovative. Sensors determine whether the parking spaces are occupied or available. This data is routed wirelessly to a cloud-based smart parking platform. It is aggregated with data from other sensors to create a real time parking map, that is not where the real innovation lies. IoT innovation is not in the solution, but in what it allows organizations to become – agile, intelligent, and adaptive. Real problems, Real Opportunities, Real Innovations, Real Return on Investments: Meter time extension - What if smart parking solutions were configured to notify the driver that their parking meter is expiring soon, and allows them to extend the parking time through their phone? High value, high priority enforcement - What if the smart parking solutions can efficiently identify violators that pose potential safety risks? Parking incentives to drive business - What if merchants could offset their customer’s parking costs as incentive to get them in? Efficient citywide parking space utilization - Using historical parking and traffic information, parking analysts can adjust meter enforcement times, rates, and maximum parking times to fill up normally unoccupied spaces.
- New Way: What if you could reduce or eliminate risk and uncertainty in scaling your IoT implementations, increasing the likelihood of an 18 month or shorter payback period and overall initiative success? Companies implementing the most successful IoT initiatives are finding ways to automate implementation steps and they are learning from and leveraging resources from experienced partners whose capability can span the entire implementation end-to-end. Smart Parking Technologies placed smart sensors all over cities around the globe to monitor parking patterns and shared that information with government and end users. SPT cut its implementation time 50% and could go to market and expand much faster than they could before, thereby improving their ROI on IoT implementations quickly.
- use cases: Predictive maintenance - Replaces human intervention and offline processing Predictive failure - Savings in avoiding downtime Asset optimization / resource optimization Asset tracking (real-time monitoring of machine state or object state ) Anomaly detection / fraud detection
- Verticals Manufacturing Overall process optimization by real-time monitoring Reducing downtime by predictive maintenance Utilities Real-time energy usage by neighborhood, region Energy demand forecasting Smart Parking, Energy & Utilities Smart transportation Real time Fleet tracking on campus Oil & Gas Predictive maintenance of resources and machineries on production sites Healthcare Retail
- Manufacturing Overall process optimization by real-time monitoring Reducing downtime by predictive maintenance
- O&G Predictive maintenance of resources and machineries on production sites
- Smart transportation Real time Fleet tracking on campus
- Utilities Real-time energy usage by neighborhood, region Energy demand forecasting
- Healthcare Assets Tracking/wheelchairs/bed tracking Re-admittance
- Retail Home Depot (inventory/RFID)
- Company Operating from New Zealand, Australia, and the United Kingdom, Smart Parking provides end-to-end smart parking management/smart city solutions for cities and businesses globally. Summary Smart Parking has become a data-intelligence solutions business provider running an IoT platform to seize opportunities in smart city developments. Results: Reduced smart parking/smart city IoT installation and operational support effort by more than half Enabled development of a Smart Cloud IoT platform in just four months Democratised data access and use across the organisation
- Company Conrad Electronic is a German online retailer of electronic products based in Hirschau, Bavaria, with approximately 4,000 employees in the Conrad group. It offers more than 1 million products for B2B customers and 750,000 products for B2C customers, including computing equipment, multimedia, modeling, home automation, tools, electronic components, batteries, and power and motoring products. Summary As Conrad transitions from a B2C retailer to an advanced B2B and B2C platform for electronic products, it is using IoT solutions to grow its customer base, develop on a reliable cloud infrastructure, and digitize its workplaces and retail stores. Business Goals / Challenges: Evolve from a traditional B2C retailer to a next-generation B2B platform, becoming the leading European marketplace for technology and electronics Develop a new business model based on the Internet of Things (IoT) Results: With cloud solutions Conrad Electronic is changing old processes and developing new, successful business models: Increases sales and market share with effective omnichannel marketing Offers new services for mobility and connected “smart” devices Empowers employees to provide better customer service Accelerates time to market while reducing IT development and testing time by 25%
- Emotional Impact: Think about everything you need to get right to hit an 18 month payback period on an IOT initiative. For example, let’s look at a big lighting manufacturer that develops IoT solutions for public street lighting. One of the largest fixed expenses for a city is public lighting; it represents approximately 40% of utility costs. With cities under growing budget constraints and more conscious about the environmental impact of energy use, its critical for them to find a way to save money here and conserve energy. IoT management of their street lighting infrastructure makes sense as a solution. However, an IoT implementation of this size is expensive and complex and if it doesn’t show a near immediate return on investment city leaders are at risk of losing their jobs. To give cities a quick return on investment, the lighting manufacturer needed to manage all the complexity of the IoT implementation in a very short period of time.
- Internet of Things Connect and manage devices and analyze data to generate insights Businesses are deploying Internet of Things (IoT) strategies to improve efficiency, respond to changing demands quickly, and explore new business models. Google Cloud offers an integrated set of managed services to help you easily connect, manage, and ingest IoT data from globally dispersed connected devices, then process, visualize, and analyze it in real time to respond to and anticipate business needs.