By: John Gonsalves
According to Gartner, more than $440 billion will be spent on Internet of Things initiatives by 2020. Yet networking company Cisco recently found that only 26% of organizations so far have completed an IoT initiative they consider a success. That percentage isn’t pretty. And companies don’t have much time to climb a steep learning curve and thus avoid costly failures.
So what is preventing companies from getting IoT right? Much of the challenge derives from focusing on implementing technologies without a comprehensive, holistic plan. Sensors? Smart devices? Data analytics? Cloud-based processing? All necessary and helpful. But how will they operate together? How will they collectively transform data into usable information – delivered in time to act in real time? That takes thought. And the thinking must be in the C-suite.
Today’s IoT industry is maturing from stand-alone point applications to integrated systems that capture and process data to derive business insights and even quality of life outcomes. Smart parking solutions, for example, now leverage IoT to analyze parking inventory and guide drivers to available spaces, an outcome with great potential value projected to save hours, miles and even gallons of gas.
A more complex IoT “system of systems,” however, might integrate that parking platform with other IoT-enabled systems, exchanging data that leads to actionable insights. An owner/operator of parking structures could then optimize lighting use in different spaces, control climate for peak and off-peak times and temperatures, assess risks and security needs, respond to staffing shortfalls quickly, and even adjust prices for a particular facility based on volume, previous usage patterns, scheduled local events and consumers’ real-time needs.
An optimal pace to value
Companies have been slow to take their IoT solutions to this next level because they face genuine challenges. How to quantify the potential value to justify the investment? How to stay ahead of security risks? How to understand and leverage multiple complex technologies? Or identify physical installation and support services? Or aggregate, synthesize, store, analyze, act on and monetize their data?
To many, the feasibility of bringing partners and service providers together to create an end-to-end ecosystem is not yet clear. There is the pressure to anticipate integration points and ensure components and people work together. as well as understand and plan for the potential disruptive impact on the organization, customers and business models.
Nevertheless, developing an integrated IoT constellation of devices, sensors, actuators, gateways and network and cloud service providers, a new breed of IoT platform providers, along with analytics, specialty visualization and integration with enterprise applications – all designed to work together – is the best way to optimize results.
The IoT Value Chain
Components of the IoT value chain should include:
- Data capture. Data originates from sensors, actuators, controllers, devices and hardware in the field, but companies quickly learn that implementing a transformational IoT solution involves far more than adding sensors to their packaging, products and the machines that manufacture, deliver and service them. Sensors must collect data spatially (i.e., throughout a space) and temporally (i.e., across time), and be instrumented in such a way that vital signs can be signaled, collected and analyzed for downstream action. Such massive amounts of data must be cloud- and network-agnostic to ensure compatibility with various platforms.
- Data communication and storage. To maximize their value, cloud and network services platforms need to deliver operational insights by working with devices at the edge – that is, where the data is gathered. They must be multilingual (able to talk to any sensors using any communications protocol) and hardware agnostic, so that data can be integrated, synthesized and stored, making it available for future context-aware analysis.
- Data analysis and insights. Making sense of vast amounts of data and taking action is key to unleashing the power of IoT. Predictive analytics providers identify patterns, network effects or anomalies so undesirable outcomes can be anticipated and prevented. Such analytics prompt prescriptive action: Companies can course-correct on the fly – replacing a part or stopping an engine from overheating, for example – to optimize operational efficiency through improved asset performance and employee productivity. World-class algorithms must be domain-sensitive and industry-aware so they can be meaningfully applied to unique use cases; advanced visualization of data may be required in certain situations.
- Infrastructure & security. Beyond cloud and network service providers, IoT solutions at scale need end-to-end security from device to edge to the cloud (and the apps), distributed device management and distributed data management.
- Coordination between IoT components and systems of engagement. Systems of engagement may vary from mobile devices to advanced augmented/virtual reality (AR/VR), mixed-reality or other user interfaces. The focus of IoT solutions is now migrating beyond operations optimization to enable new business models (e.g., pay per use), imagine new products and services (e.g., software-based services), monetize data, etc. Indeed, the opportunities are massive as we develop and benefit from “system of systems.”
- Partners. The variety and range of technologies for the IoT is enormous, yet still immature. Each participant would do well to understand its role in the IoT ecosystem and get to know adjacent players to partner with to deliver smart, connected IoT solutions at scale. Scale implementations need physical deployment of sensors (and device instrumentation), the operations technology and the digital value chain. And they require a skilled system integrator that also knows the associated IT and heritage systems, to develop and orchestrate the combined ecosystem and, thereby, realize business value.
How to get started
A good systems integrator will start by asking the question, “What business problem do you want to solve?” From there, the company can help to create the business case for an IoT solution by articulating its value, be it cost reduction, revenue enhancement, asset optimization, customer experience transformation or increased safety.
Then it’s on to the heart of the engagement: defining new operational processes, recommending IoT-enabling information and operational technologies, identifying and classifying the right ecosystem players in the IoT value chain, and assembling and integrating them based on who plays best where.
Challenges certainly remain, but the opportunities for new revenue streams, increased operational efficiency and improved customer engagement have never been greater for companies that leverage end-to-end IoT solutions in consumer, commercial or industrial settings.
This article originally appeared on the Digitally Cognizant Blog
Cognizant (Nasdaq: CTSH) is dedicated to helping the world’s leading companies build stronger businesses — helping them go from doing digital to being digital.
Robot delivery: Bots will be bringing parcels to your home
Ford, FedEx and Amazon are each at an advanced stage with autonomous robot delivery vehicles, designed to bring packages to the doors of businesses and homes. Several successful pilots have been completed.
Each robot looks different but the objective is similar — getting a package to a customer using an autonomous machine. The aim of these new robot delivery tools is to boost efficiency and eliminate the need to pay people to carry out the final part of the delivery process.
Ford / Agility Robotics
Ford, more commonly associated with cars and trucks, is partnering with legged locomotion specialist Agility Robotics to assess how self-driving car deliveries can be improved. The project objective is to ensure self-driving vehicles can accomplish something that’s been very difficult to accomplish: carrying out the last step of the delivery, from the car to the recipient’s front door.
The two companies hope the answer is a two-legged robot called “Digit”.
Digit has been designed to approximate the look and walk of a human. The robot is constructed from lightweight material and it is capable of lifting packages that weigh up to 40 pounds. In tests, Digit has been shown to be capable of going up and down stairs and to negotiate uneven terrain, thanks to the use of LiDAR and stereo cameras.
The courier delivery services company FedEx is developing an autonomous delivery robot designed to assist retailers make same-day and last-mile deliveries to their customers. The device is called the FedEx SameDay Bot, and the aim is to deliver packages by bot directly to customers’ homes or businesses the same day. The device has been developed in collaboration with DEKA Development & Research Corp., run by Dean Kamen, the inventor of the Segway.
The FedEx device is the most adventurous of the three, in that it will cross roads and is destined to cover longer distances. The interaction with roads is supported by machine-learning algorithms to help the robot to detect and avoid obstacles, plot a safe path, and to follow road and safety rules.
Amazon’s autonomous delivery robots are about to begin rolling out on California sidewalks. Amazon Scout will begin with delivering packages to the company’s Prime customers residing in Southern California. The new Amazon device will work during daylight hours, providing small and medium-sized packages to customers. The Amazon Scout is a six-wheeled electric-powered vehicle around the size of a small cooler. In terms of movement, the Scout rolls along sidewalks at what’s described as a walking pace.
Amazon began testing out the Scout in January 2019, running a pilot program using six machines to deliver packages in Snohomish County, Washington. Vice president of Amazon Scout Sean Scott said: “We developed Amazon Scout at our research and development lab in Seattle, ensuring the devices can safely and efficiently navigate around pets, pedestrians and anything else in their path.”
Following the success of the pilot — where the Scout autonomously navigated the various obstacles commonly found in residential neighborhoods like trashcans, skateboards, lawn chairs, the occasional snow blower and more — the device is ready for a wider launch.
The wider launch will feature a small number of Amazon Scout devices, delivering Monday through Friday, during daylight hours in the Irvine area of California, according to Smart2Zero. Customers will order items as they would normally, but in some cases their Amazon packages will be delivered by an Amazon Scout. To make sure things go smoothly, each Scout will initially be accompanied by a human “Amazon Scout Ambassador.”
Amazon adds fear detection and age ranges to its facial-recognition tech as the Border Patrol looks to award a $950 million contract
- Amazon Web Services has added several new features to its facial-recognition technology, Rekognition.
- This includes expanded age-recognition capabilities and the new ability to recognize fear.
- Rekognition is a controversial technology and has been the subject of much criticism and protests — from both inside and outside Amazon.
- These new features drew some flack from commenters on Twitter.
- Meanwhile, the US Customers and Border Patrol is looking for quotes on a sweeping new border protection system that includes more facial-recognition tech.
Amazon Web Services has expanded the capabilities of its controversial facial-recognition technology called Rekognition.
It now better detects more age ranges and it can also detect fear, the company announced in a blog post on Monday.
The company explained (emphasis ours):
“Today, we are launching accuracy and functionality improvements to our face analysis features. Face analysis generates metadata about detected faces in the form of gender, age range, emotions, attributes such as ‘Smile’, face pose, face image quality and face landmarks. With this release, we have further improved the accuracy of gender identification. In addition, we have improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’.Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”
Earlier this month AWS also announced that Rekognition can now detect violent content such as blood, wounds, weapons, self-injury, corpses, as well as sexually explicit content.
But it was the news of more age ranges and fear detection that was met with comments on Twitter.
Just last month several protesters interrupted Amazon AWS CTO Werner Vogels during a keynote speech at an AWS conference in New York.
They were protesting AWS’s work with the U.S. Immigration and Customs Enforcement (ICE) and the family separation policy at the Southern Border. Amazon hasn’t acknowledged whether ICE uses its Rekognition technology, but the company did meet with ICE officials to pitch its facial-recognition tech, among other AWS services, as revealed by emails between Amazon and various government officials obtained by the American Civil Liberties Union Foundations.
Amazon’s Rekognition has come under fire from a wide range of groups who want the company to stop selling it to law enforcement agencies. In April, AI experts penned an open letter to Amazon about it. Civil rights group have protested it. 100 Amazon employees sent a letter to management last year asking the company to stop selling Rekognition to law enforcement. Another 500 signed a letter this year asking Amazon to stop working with ICE altogether.
“AWS comes under fire for Rekognition sales to the federal government, who in turn is building concentration camps for children, and AWS’s response is to improve ‘age range estimation’ and ‘fear detection’ in the service? Are you f– KIDDING ME?!” tweeted Corey Quinn from the Duckbill Group, a consultant that helps companies manage their AWS bill. Quinn also hosts theScreaming in the Cloud podcast.
Another developer tweeted, “In 25 years we’re going to be talking about how AWS handled this situation in the same way we talk about how IBM enabled the holocaust. Every engineer and ML researcher who worked on this should be ashamed of themselves.”
The CBP is looking to buy more facial-recognition tech
Meanwhile, the U.S. Customs and Border Protection (CBP), a sister agency to ICE, has put out a new request for quotes on a sweeping new border-security system that includes expanded use of facial-recognition technology.
“Integration of facial recognition technologies is intended throughout all passenger applications,” the RFQ documents say.
The CBP already uses facial recognition at various airports, such as in Mexico City, where it matches passenger’s faces with photos taken from their passports or other government documents, it says.
And the CBP uses other biometric information, such as taking fingerprints of people at the border if it suspects that they are entering the country illegally, it says.
“CBP’s future vision for biometric exit is to build the technology nationwide using cloud computing,” the agency wrote in a 2017 article about the use of facial recognition and finger-print tech.
This new contract for new border security technologies is expected to begin in early 2020 and could be worth $950 million over its lifespan, according to the RFQ documents.
This article was originally published on Business Insider. Copyright 2019.
IBM launches ‘Trust Your Supplier’ blockchain initiative
IBM and Chainyard have announced a new blockchain network called Trust Your Supplier, which is a blockchain-based platform that simplifies supply chain management and improves supplier qualification, validation, onboarding and life cycle information management.
IBM sees the new blockchain-based network as critical to the continued growth and advancement of the global supply chain industry. The technology provides a digital passport for supplier identity on the blockchain. This will enable suppliers to share information with any permissioned buyer on the network to make qualifying, validating and managing new suppliers easier and less time-consuming.
The Trust Your Supplier platform is being pioneered by several leading companies, such as Anheuser-Busch InBev, GlaxoSmithKline, Lenovo, Nokia, Schneider Electric and Vodafone. Each of these founding participants is in the process of onboarding their suppliers. These are leading companies across industries like technology, telecommunications, pharmaceuticals and food and beverage.
By eliminating manual, time-consuming processes, the Trust Your Supplier technology aims to help reduce the risk of fraud and errors by establishing a connected environment among global suppliers. With more than 18,500 global suppliers, IBM itself will begin using and onboarding 4,000 of its North American suppliers to the Trust Your Supplier network. This is expected to be completed during quarter 3 of 2019.
Convening a network of leading companies with shared challenges and goals, Trust Your Supplier has been designed to assist companies working across multiple industries to design and implement more efficient processes to solve a common problem in relation to the supply chain.
Representing one of the first companies to take up the service, Sanjay Mehta, Vice President Procurement, Nokia, states: “Working with IBM and Chainyard on this blockchain initiative represents a great opportunity for Nokia to further enhance our suppliers’ experience and optimize the onboarding process (process of integrating a new supplier into an organization’s network). Using the latest technology to address a classical challenge will be of benefit for everyone, and further increase the speed of using innovative solutions.”
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