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How Quickly Are Industries Adopting the Internet of Things?

Kai Goerlich

Science fiction writer William Gibson is credited with saying, ”The future is already here—it’s just not evenly distributed.” Such is the case with the Internet of Things (IoT).

Digital business requires both data and the equipment to capture, store, manage, and analyze that data before enterprises can better inform their decisions, automate actions, and improve operations. IoT technology provides a way.

According to IDC, companies are ramping up their IoT investments rapidly, which can be seen in seven major industries with high levels of physical products or assets. Overall, the market research firm forecasts that IoT spending will increase 19% on average through 2018. Some industries, such as discrete manufacturing, have already invested significantly; others, such as healthcare, have spent less to date but are expected to expand quickly in the future.

Opportunities for Connection

The IoT is poised for rapid growth across a wide variety of industries that are connecting physical assets 2016_Q1_charted_09
Download the infographic here.

The IoT Creates New Revenue Models

The Internet of Things represents a new course for automation and data-enabled decision making. Companies can use data collected from sensors on machines to create new business processes and revenue models.

It’s no wonder the numbers that researchers at Gartner cite—6.4 billion connected things in use in 2016, an increase of 30% over 2015—sound both large (billions, up 30%) and small at the same time (we’re just getting started). The future is being distributed unevenly, but it will reach just about everywhere, eventually.

2016_Q1_charted_02Utilities

Utilities are still in the early stages of connecting their physical assets, a McKinsey Global Institute analysis finds. Deregulation and new market entrants are expected to prompt greater investments in the future. For example, smart metering systems and renewable energy sources, both growing activities in this industry, require IoT connections.

And to compete, utilities will need to invest in systems that monitor and analyze data from smart devices at homes and businesses, Tata Consultancy Services notes. IDC predicts that eventually this industry will see a high impact from its IoT investments because both utility companies and consumers have a stake in making energy production and use more efficient.

2016_Q1_charted_03Healthcare

The industry as a whole has been slowed by regulatory and privacy concerns, Tata Consultancy Services research finds. But as healthcare providers install more equipment to connect medical devices to networks, they, too, will adopt more data-driven devices. Ultimately, IDC suggests that the IoT will have a high impact through monitoring applications and sensors that enable patients to manage their health and fitness.

2016_Q1_charted_04Wholesale

The IoT promises to bring new capabilities to distributors, including new opportunities to sell goods through industrial vending machines and automated transportation systems. However, the industry as a whole has been what McKinsey Global Institute calls a medium-level player on
the road to digitization.

 

2016_Q1_charted_05Discrete Manufacturing

Companies ranging from consumer goods makers to industrial manufacturers are applying IoT investments to monitor production and the flow of goods. Sensors enable predictive applications to schedule maintenance for jet engines, for example. And consumer goods makers are starting to experiment with marketing applications enabled by machine sensors and smartphones, Tata Consultancy Services notes.

2016_Q1_charted_06Retail

As VDC Research Group points out, the drive to digitize business has been going on since well before 2013. Prices for RFID transponders have dipped over the past decade, which has enabled retailers to affix tags to goods, speeding up inventory tracking and shipments processing and reducing shrinkage, RFID Journal reports.

 

2016_Q1_charted_07Logistics

Logistics firm DHL and networking vendor Cisco predict that there will be 50 billion connected devices by 2020, while making the point that this “represents only a tiny fraction of what could be connected—something on the order of 3% of all connectable things.” The resulting connectivity will reshape how decisions are made about the way goods are stored, monitored, serviced, and delivered. According to IDC, the IoT will have a high impact on the logistics industry because the benefits are clear and easy to measure.

2016_Q1_charted_08Process Manufacturing

Companies in process industries have been heavy investors in technologies that make their assets more productive, including enterprise resource planning and supply chain management software. Leading players see the IoT as a way to extend the value of these investments. For example, Deloitte researchers note that oil and gas companies can wring more efficiency from resource processing and distribution by collecting and analyzing data from sensors and by monitoring equipment to reduce unplanned equipment outages.

By Michael S. Goldberg and Kai Goerlich

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Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Idea Director of Thought Leadership at SAP. His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation. Share your thoughts with Kai on Twitter @KaiGoe.

IoT Can Keep You Healthy — Even When You Sleep [VIDEO]

Christine Donato

Today the Internet of Things is revamping technology. IoT image from American Geniuses.jpg

Smart devices speak to each other and work together to provide the end user with a better product experience.

Coinciding with this change in technology is a change in people. We’ve transitioned from a world of people who love processed foods and french fries to people who eat kale chips and Greek yogurt…and actually like it.

People are taking ownership of their well-being, and preventative care is at the forefront of focus for both physicians and patients. Fitness trackers alert wearers of the exact number of calories burned from walking a certain number of steps. Mobile apps calculate our perfect nutritional balance. And even while we sleep, people are realizing that it’s important to monitor vitals.

According to research conducted at Harvard University, proper sleep patterns bolster healthy side effects such as improved immune function, a faster metabolism, preserved memory, and reduced stress and depression.

Conversely, the Harvard study determined that lack of sleep can negatively affect judgement, mood, and the ability retain information, as well as increase the risk of obesity, diabetes, cardiovascular disease, and even premature death.

Through the Internet of Things, researchers can now explore sleep patterns without the usual sleep labs and movement-restricting electrode wires. And with connected devices, individuals can now easily monitor and positively influence their own health.

EarlySense, a startup credited with the creation of continuous patient monitoring solutions focused on early detection of patient deterioration, mid-sleep falls, and pressure ulcers, began with a mission to prevent premature and preventable deaths.

Without constant monitoring, patients with unexpected clinical deterioration may be accidentally neglected, and their conditions can easily escalate into emergency situations.

Motivated by many instances of patients who died from preventable post-elective surgery complications, EarlySense founders created a product that constantly monitors patients when hospital nurses can’t, alerting the main nurse station when a patient leaves his or her bed and could potentially fall, or when a patient’s vital signs drop or rise unexpectedly.

Now EarlySense technology has expanded outside of the hospital realm. The EarlySense wellness sensor, a device connected via the Internet of Things, mobile solutions, and supported by SAP HANA Cloud Platform, monitors all vital signs while a person sleeps. The device is completely wireless and lies subtly underneath one’s mattress. The sensor collects all mechanical vibrations that the patient’s body emits while sleeping, continuously monitoring heart and respiratory rates.

Watch this short video to learn more about how the EarlySense wellness sensor works:

The result is faster diagnoses with better treatments and outcomes. Sleep issues can be identified and addressed; individuals can use the data collected to make adjustments in diet or exercise habits; and those on heavy pain medications can monitor the way their bodies react to the medication. In addition, physicians can use the data collected from the sensor to identify patient health problems before they escalate into an emergency situation.

Connected care is opening the door for a new way to practice health. Through connected care apps that link people with their doctors, fitness trackers that measure daily activity, and sensors like the EarlySense wellness sensor, today’s technology enables people and physicians to work together to prevent sickness and accidents before they occur. Technology is forever changing the way we live, and in turn we are living longer, healthier lives.

To learn how SAP HANA Cloud Platform can affect your business, visit It&Me.

For more stories, join me on Twitter.

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Christine Donato

About Christine Donato

Christine Donato is a Senior Integrated Marketing Specialist at SAP. She is an accomplished project manager and leader of multiple marketing and sales enablement campaigns and events, that supported a multi million euro business.

Size Doesn't Matter For Businesses In The Digital Economy

Christine Donato

SAP_Talks_Banner_2When I first entered the job market, I interviewed at a few different companies, one of which was a small insurance firm outside Philadelphia. My interviewer was a C-level executive, and he gave me a piece of advice I’ll never forget. He said, “You know, at a large corporation, you’re going to learn a lot about a little. Here with us, at a small business, you will learn a lot about a lot.”

He meant, of course, that employees of small to mid-sized companies wear many hats.  And usually, their organizational leaders are accessible resources and serve as CEO, CMO, CIO, CFO, and more all at one time.

Size doesn’t matter

Today, small businesses can be just as successful as, if not more successful than, their larger competitors. Why? Because with the right technology, small businesses can easily cause positive disruption in the market.

Within the boom of the digital economy, small businesses now have the power to reshape their markets and industries. A couple popular examples of this are Uber disrupting the transportation industry and Airbnb disrupting the hospitality industry.

Both have significantly shaken their larger competitors because they are successfully leveraging the Internet of Things to provide customers with a simple and easy way to purchase a service. And according to a recent blog by Vivek Bapat, 70% of consumers will recommend brands that offer a simpler experience.  And 38% of consumers will pay a premium for it (The Digitalist).

Learn more… Listen to #SAPTalks

According to a recent Economist Intelligence Unit study, 59% of executives agree that in order for their businesses to survive with today’s customers, their businesses must embrace and adapt to hyperconnectivity.

To learn more about numerous small and mid-sized businesses that are ditching legacy processes and inside-the box thinking to become disruptive forces in their markets, check out the new podcast series, #SAPTalks…Small to Midsized Business, hosted by David Trites.

In about 20 minutes per episode, guest speakers from small and mid-sized companies share their unscripted and in-depth digital transformation experiences. They explain their industries, challenges, current technology projects, best practices, and lessons learned along the journey.

The first episode will air on the Voice America Channel on Tuesday October 13th and will feature Paula Muesse, CIO and CFO of Zhena’s Gypsy Tea. On the show, Paula will explain how Zhena’s adopted new technology to best sell organic, fair-trade, and competitive teas.

You can follow the conversation on Twitter by hash tagging #SAPTalks and by following @SAPSmallBiz.

Follow the blog series

Read about more companies that have broken the myth that SAP is only for big business:

How to be a World-Leading Publisher in a Digital World

Franklin Valve Shows How Small Business Tackles Rapid Growth

Who is Feeding China’s Half Billion Pigs?

How Prime Meats Cuts Through Business Complexity

High-Tech ERP Helps EvoShield Protect Athletes and Grow Business

Stick to Basics in Family Recipes and the Sausage Business

For more on how you can successfully sell into the small and mid-sized market, please click here.

For more stories, follow me on Twitter and LinkedIn.

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Christine Donato

About Christine Donato

Christine Donato is a Senior Integrated Marketing Specialist at SAP. She is an accomplished project manager and leader of multiple marketing and sales enablement campaigns and events, that supported a multi million euro business.

How Emotionally Aware Computing Can Bring Happiness to Your Organization

Christopher Koch


Do you feel me?

Just as once-novel voice recognition technology is now a ubiquitous part of human–machine relationships, so too could mood recognition technology (aka “affective computing”) soon pervade digital interactions.

Through the application of machine learning, Big Data inputs, image recognition, sensors, and in some cases robotics, artificially intelligent systems hunt for affective clues: widened eyes, quickened speech, and crossed arms, as well as heart rate or skin changes.




Emotions are big business

The global affective computing market is estimated to grow from just over US$9.3 billion a year in 2015 to more than $42.5 billion by 2020.

Source: “Affective Computing Market 2015 – Technology, Software, Hardware, Vertical, & Regional Forecasts to 2020 for the $42 Billion Industry” (Research and Markets, 2015)

Customer experience is the sweet spot

Forrester found that emotion was the number-one factor in determining customer loyalty in 17 out of the 18 industries it surveyed – far more important than the ease or effectiveness of customers’ interactions with a company.


Source: “You Can’t Afford to Overlook Your Customers’ Emotional Experience” (Forrester, 2015)


Humana gets an emotional clue

Source: “Artificial Intelligence Helps Humana Avoid Call Center Meltdowns” (The Wall Street Journal, October 27, 2016)

Insurer Humana uses artificial intelligence software that can detect conversational cues to guide call-center workers through difficult customer calls. The system recognizes that a steady rise in the pitch of a customer’s voice or instances of agent and customer talking over one another are causes for concern.

The system has led to hard results: Humana says it has seen an 28% improvement in customer satisfaction, a 63% improvement in agent engagement, and a 6% improvement in first-contact resolution.


Spread happiness across the organization

Source: “Happiness and Productivity” (University of Warwick, February 10, 2014)

Employers could monitor employee moods to make organizational adjustments that increase productivity, effectiveness, and satisfaction. Happy employees are around 12% more productive.




Walking on emotional eggshells

Whether customers and employees will be comfortable having their emotions logged and broadcast by companies is an open question. Customers may find some uses of affective computing creepy or, worse, predatory. Be sure to get their permission.


Other limiting factors

The availability of the data required to infer a person’s emotional state is still limited. Further, it can be difficult to capture all the physical cues that may be relevant to an interaction, such as facial expression, tone of voice, or posture.



Get a head start


Discover the data

Companies should determine what inferences about mental states they want the system to make and how accurately those inferences can be made using the inputs available.


Work with IT

Involve IT and engineering groups to figure out the challenges of integrating with existing systems for collecting, assimilating, and analyzing large volumes of emotional data.


Consider the complexity

Some emotions may be more difficult to discern or respond to. Context is also key. An emotionally aware machine would need to respond differently to frustration in a user in an educational setting than to frustration in a user in a vehicle.

 


 

download arrowTo learn more about how affective computing can help your organization, read the feature story Empathy: The Killer App for Artificial Intelligence.


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Christopher Koch

About Christopher Koch

Christopher Koch is the Editorial Director of the SAP Center for Business Insight. He is an experienced publishing professional, researcher, editor, and writer in business, technology, and B2B marketing. Share your thoughts with Chris on Twitter @Ckochster.

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Enterprise Information Management: The Foundational Core Of Digital Transformation Success

Paul Lewis

The definition and implementation of digital transformation has become so muddled that no two organizations are focusing on the same strategies and initiatives. Many companies choose to engage in e-commerce and social media to extend their customer base with engaging, personalized, and round-the-clock shopping experiences. Some eye operational efficiencies through the Internet of Things (IoT) and artificial intelligence. And a growing segment is enticed by game-changing insights from analytics and social sentiments.

No matter the digital strategy, data is the foundation of all of these efforts. The customer experience is about understanding clients and offering services that answer their needs. Decision making requires stored knowledge that can be easily shared, secured, and applied. Operational excellence runs on meaningful insight that drives performance and keeps workers safe.

In digital transformation, every change relies on converting data into actionable decisions. According to Capgemini, companies that act on an enterprise information management (EIM) strategy outperform their rivals by as much as 26%.

The EIM difference in digital transformation

A data point by itself may seem unrelated and inconsequential. But when enterprise data is united and managed as one asset, decision makers finally have trusted, complete, and relevant information they need to seize opportunities and avoid risks that were previously hidden in the background.

One of my clients, Pravine Balkaran, global head of IT at Spin Master, one of the world’s largest toy and media entertainment companies, said it best: “It’s about being able to apply standardization and automation to the entire ecosystem to bring value and move the business forward.”

EIM derives new value by incorporating the traditional functions of data, including business intelligence, data science, analytics, data storage and archiving, data stewardship, and data mobility technology. The more data added, the more valuable the ecosystem becomes – without the complexity commonly experienced when searching for potentially valuable data across a diverse set of existing applications.

By applying EIM to the core of its digital strategy, companies like Spin Master are capturing and coalescing data from a variety of sources and turning it into actionable information to drive better decision making, innovate new products, enter new markets, and encourage a more responsive customer experience.

The EIM road map towards rapid creation of new value

Now for the hard part: Putting EIM into action and at the center of your digital transformation business strategy. There are five things you should do now before moving to a more digitalized and data-driven way of doing business.

1. Inventory available information

Most companies believe that their data resides in core databases and a data model of known entities such as claims, transactions, vendors, and suppliers. Although this is a widely used approach to determining the class of your information, it is only a small part of what you actually own. Structured, unstructured, and semi-structured data; log files; conversations; customer sentiment; and real-time information from suppliers and vendors, for example, should be integrated as part of the overall EIM philosophy.

2. Classify your inventory

Data typically can be classified with one or more of these six attributes:

  • Real-time, streaming data, which potentially comes from machines
  • Static data from production databases
  • Valuable data in real time once stored
  • Realizes value over time and as it changes
  • Relevant to a particular government mandate or legislative concern
  • Objective and relative importance to divisions of the overall enterprise, including customers and the business network

With this exercise, you can begin to understand the function that each data point serves and its usefulness in the future.

3. Encourage the business culture to appreciate the value of discovery

Data-driven decision making is not based on blind faith that data always tells the right story. Rather, it is asking the right questions, and knowing how to dig deep into the data helps us make the connections we need to get an accurate picture of the current situation. Once you discover those nuggets of insight gold, data science and advanced analytics can be applied to pinpoint the appropriate solution. Later, you can leverage data visualization tools to communicate findings and proposed action in a format that is quick and easy for all levels of the enterprise to consume.

4. Shift your focus from yesterday to today and beyond

Traditionally, data analysis is an exercise of looking backward to determine the how, what, when, and why an event happened. However, the pace of change in every aspect of the business has accelerated so much, that it’s rendered this retrospective approach to analytics nearly useless. Real-time access to data allows decision makers to know what’s happening in the moment and how it will impact the future to seize opportunities and mitigate risks.

The path to digital transformation is paved with data

The volume of data generated by people across the entire business network – from employee to consumer and everyone in between – represents a veritable trove of information, insights, and inspiration for innovation. But first, companies need to know where to find this data and how to best apply it to everyday decision making. With EIM, data can be broken down and reassembled into a manageable form that is meaningful, outcome-driven, and transformational.

Learn more about how to uncover Data – The Hidden Treasure Inside Your Business.

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Paul Lewis

About Paul Lewis

Paul Lewis is the Chief Technology Officer in Hitachi for the Americas, responsible for the leading technology trend mastery and evangelism, client executive advocacy, and external delivery of the Hitachi vision and strategy especially related to digital transformation and social innovation. Additionally, Paul contributes to field enablement of data intelligence and analytics; interprets and translates complex technology trends including cloud, mobility, governance, and information management; and represents the Americas region in the Global Technology Office, the Hitachi LTD R&D division. In his role of trusted advisor to the CIO community, Paul’s explicit goal is to ensure clients’ problems are solved and opportunities realized. Paul can be found at his blog, on Twitter, and on LinkedIn.