How do our global and very interconnected markets effect resource volatility?
The evidence points to increasing resource volatility as globalization grows, including in agricultural products. “The globalized world increases the pressure on resources, making even basic food volatile, and especially increasing the pressure on energy and metals,” says Kai Goerlich, SAP’s Idea Director, who led the research.
This research is based on World Bank data and converted into 2010 U.S. dollars for consistency. This is part one of a two-part series.
The cotton world had a bit of a shock last year when news came out that China was about to unload its massive cotton reserves, which sent prices down. But China didn’t actually flood the cotton market, and cotton production has also decreased somewhat, both of which reversed the price decrease.
The USDA also reports that production levels have recently decreased, particularly in West Africa. Demand from Pakistan increased because its own crop was damaged by pests – good news for India, which increased exports to Pakistan to make up the shortfall.
Maize, aka corn, makes up about a third of global cereal production, according to the World Bank. Maize production has increased over the past 20-odd years, mostly due to its increase as a crop in Asia. The Asian, Canadian, and Australian markets have had an effect on the U.S. Notwithstanding that areas of America’s Midwest are still known as the “breadbasket,” U.S. maize production is actually on a downward trend. It will be interesting to see if the Trans-Pacific Partnership, once (or if) signed will change that development.
Platinum might be known to consumers mostly for jewelry, but the primary market for this metal is automotive. The majority of platinum comes from South Africa; Russia is the second largest producer. The World Platinum Investment Council is predicting that the metal’s market deficit will decrease this year because of the increased availability of recycled metals and less demand. However, others think the deficit is permanent and predict that platinum will return to its historical price above gold. Much of this depends on demand from global industry, particularly in China.
Here’s an example of the global nature of resources: South African mine workers’ union contracts expire in June. Labor disruptions would, obviously, affect the availability and price of platinum worldwide.
4. Crude oil
It was only recently that the price for crude oil fell yet again due to high inventories, global output, and less demand. What a difference a raging fire can make. The fire in Fort McMurray, Alberta, which began on May 1, has forced the evacuation of the town and the major oil producers have halted or shut down production. This sent crude oil prices back up to almost $50 a barrel, from $26 earlier in the year. Canada is the U.S.’s major supplier of oil.
As with other wood products, there has been an increase in sawnwood production and demand recently, the biggest since the economic downturn post-2008, according to the UN’s Food and Agriculture Organization. There has been an increase in production in some European countries, in part because of recent wind storms that knocked down trees. Also, Europe is slowly reforesting, most dramatically in Ireland with a 52% increase in forested lands.
Lead is a valuable ore that is relatively simple to mine and has a high value, with a global market of approximately $15 billion. While production has slowed somewhat, it’s interesting to note that what’s referred to as the “secondary production,” which includes recyclables, is now almost at par with mined lead. In the U.S., most lead production comes from secondary production, and most of it is used for lead-acid batteries. And even though global stocks and production are decreasing, the price per ton is, too. One reason for that is the search and adoption of alternatives that are more environmentally friendly.
A sweet tooth is about to get more expensive. There’s more sugar demand than supply for the first time in five years. This is good news for sugar producers; the price of sugar recently fell to below production cost. Weather conditions, particularly El Niño, have been a problem in decreasing sugar supply. The EU recently surveyed member states’ opinions on raising sugar supplies because the stockpile is heading to dangerous lows, with potential shortages as soon as this summer.
9. Meat and chicken
The world’s appetite for meat continues to grow. Again, China is driving consumption of chicken, sheep, and pigs, and Brazil takes the top slot for beef. Here’s some interesting data from the OECD about global meat consumption: yet again, China’s economic outlook and tastes are shaping global markets. A Chinese company recently purchased Brazil’s largest soybean producer – soybean is used as animal feed. The Australian government recently blocked the sale of a cattle station conglomerate to Dahang Australia, which is mostly controlled by the Shanghai Pengxin Group. The sale was for 2.5% of Australia’s agriculture land and 185,000 cattle.
For generations, we have lived in a mass production society. Imagine a world where a 50,000-square foot warehouse, once filled with products and inventory as far as the eye can see, now sits empty. Inventory has shifted to a new location: the cloud. Products are now manufactured, or “printed,” on-demand and delivered to the location where the demand exists.
UPS and Fast Radius are two innovative companies with a shared vision for the future of manufacturing. Fast Radius is UPS’s partner in 3D printing and a pioneer in on-demand manufacturing. UPS is a global leader in logistical services. Together, these two companies are teaming up and leveraging IoT technology in order to rewrite the rules of manufacturing.
The digital supply chain
“[There] are problems that [manufacturing] companies have been trying to solve for decades. How do I make my inventory management more efficient? How do I match the supply of product that I’m making with the actual demand?” said Rick Smith, co-founder of Fast Radius, at the Fast Radius facility in Chamblee, Georgia.
To answer these questions, we must take a step back and look at the big picture. Over the last 100-plus years, conventional manufacturing has been based on a simple equation: “The more things you make, the lower the cost of each of those things,” according to Rick Smith. This equation presents problems in cost and infrastructure when considering factory build and maintenance, tooling and molds, and piles of excess inventory. Instead of asking how to simply make this process more efficient, UPS and Fast Radius are taking a step further by enabling a digital supply chain.
Simplifying industrial manufacturing in four easy steps
The first step towards on-demand manufacturing requires a seamlessly integrated solution for collaboration. Fast Radius is leveraging a distributed manufacturing solution to virtually collaborate with customers and ensure design specifications and the correct level of certifications are met. This platform is the digital workshop where designers and engineers, on both sides, can make sure a printed product will be the same as one produced on an assembly line.
2. Internet of Things (IoT)
UPS is using an IoT platform which specializes in making machines smarter and drives end-to-end digital transformation. A distributed manufacturing solution, sensors, automation, robotics, and 3D printers feed massive amounts of data processed within an IoT portfolio, enabling more dynamic data leading to seamless customer experiences.
“It’s really an ecosystem of technologies that work together. It’s not just one thing, it’s many things that are working together,” said Alan Amling, VP of strategy at UPS.
3. 3-D printing
3D printing is the third step in the process to set forth on-demand manufacturing. After taking the world by storm, the technology continues to evolve every day. “Traditionally with printing, you would be stuck with a very limited amount of materials. You could replicate some of the harder types with traditional methods, but with the new technologies and new materials coming to market, you can almost replicate any kind of production,” said Rick Smith.
Finally, a designed, printed product must do one last thing: Get to the customer. How? By leveraging UPS and its areas of logistical expertise. Simply box it up and slap on a UPS Next-Day Air sticker. The customer will receive the part within 24 hours of initial purchase.
By harnessing the power of an IoT platform, UPS and Fast Radius are quickly revolutionizing product manufacturing. They have streamlined the process of design, IoT, 3-D printing, and logistics to create a seamless customer experience. The impact to manufacturers, to businesses, and to individuals will undoubtedly be disruptive. Watch the video below to learn more.
Effective IoT connectedness requires a unifying foundation. SAP has addressed this need by introducing the SAP Leonardo portfolio, an innovative IoT solution portfolio designed to help organizations digitally transform existing processes and evolve to new digital models. Learn more by downloading an SAP Leonardo brochure, reading about real-world use cases, attending our flagship event Leonardo Live this summer, visiting sap.com/iot, and following us on Twitter at @SAPLeonardo.
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About Conor Brophy
Conor Brophy works with the SAP Global Marketing Customer Storytelling team as a content specialist. When he is not writing about stories of "Run Simple," he enjoys golf, hiking and spending time with his fiance, friends and family.
Millions of people around the world still lack consistent access to the basics of modern life. They also lack resources to build conventional infrastructure in order to obtain essentials such as water and a consistent supply of electricity. Enter frugal innovation—a process for simplifying complex technologies so they are less expensive to produce and operate. Two startups have devised affordable systems that give people access to essential utilities.
Waterpoint Data Transmitter
About 780 million people, mainly in rural locations, don’t have indoor plumbing. Instead, they rely on hand pumps to access groundwater. Sooner or later, these hand pumps break and often aren’t fixed due to lack of parts and know-how. By some estimates, one-third of pumps aren’t functioning at any given time.
OxWater, a startup launched from Oxford University, has a solution that incorporates basic cell phone technology. The Waterpoint Data Transmitter is a monitoring device that communities deploy to track pump usage. If a pump stops working, a local, trained repair team receives a notification to fix it. The device also provides predictions of which pumps are likely to break and reports low water levels. A pilot project in Kenya showed a dramatic reduction in repair times, from an average of 37 days down to just two.
Solar power has become an important technology for people living in off-the-grid rural environments. But once the sun goes down, or during spells of cloudy days, the solar panels may not generate enough electricity. That often means a return to inefficient and unsafe solutions, such as kerosene lamps for lighting.
Azuri Technologies has developed a simple, independent system that enables solar users to adapt the amount of power they use according to the amount of energy they generate. The Quad is a small wall-mounted unit that’s wired to a solar panel that comes with a USB port for mobile phone charging. The system uses the company’s HomeSmart technology to monitor local weather patterns and learn consumers’ energy usage. Then, based on available energy, it automatically regulates the amount of power used for lighting (by, for example, adjusting brightness) and battery charging.
A 5-watt system costs about US$156, which users can pay off weekly using a mobile money account. Once they own the unit, they can generate power at no cost. Since its launch in Kenya in 2011, 90,000 Quads have been purchased in 12 African countries.
Preventing disasters and delivering aid when they do hit are difficult in isolated locations, where there aren’t enough services that enable quick reaction. Complexity and cost can also keep aid from reaching its targets. These startups are using frugal technology in imaginative ways to issue alerts of impending problems and deliver help to people in need.
Disaster relief is an uphill race against the clock. Whether responding to a natural disaster, war, or famine, aid workers must assemble and deliver supplies, navigate around natural obstacles, avoid thieves, and stay safe. Windhorse Aerospace has developed POUNCER, a disposable drone, to address these problems.
Designed for takeoff from a C-130 Hercules military transport plane and guided using a built-in GPS, POUNCER can be launched from up to 40 kilometers from its destination, with a landing accuracy of within 7 meters. The drone can carry enough food and water rations for 50 people. What’s more, every part is reusable and disposable. For example, the frame, which has a 3-meter wingspan, can be used for shelter or burned for fuel (Windhorse is meanwhile looking to develop an edible frame). Because the entire unit is designed for on-site use, there’s also no cost or peril involved in recovering it from the disaster area.
Many of the world’s poor live in shacks that are built very close together, and they lack electricity. As a result, they rely heavily on open flames for light, heat, and cooking, creating a high risk of fire. But conventional smoke detectors can’t be relied on in places that are already smoky. One devastating fire in Cape Town, South Africa, prompted a group of local university students to design a fire detection device specifically for these environments.
The Lumkani detector is a small wall-mounted unit that runs on batteries and, instead of being triggered by smoke, detects fires by monitoring temperature increases. The detectors use basic radio frequency technology to link all units within a 60-meter radius to a mesh network, which enables early warning alerts for the surrounding inhabitants. The $7 device also stores GPS coordinates, sends warning texts to residents, and can self-monitor the operating health of the whole linked system. Lumkani is working on a way to send real-time data to local emergency response units.
Data at the Digital Frontier
Do you own the land you’re farming? When will the next rainstorm hit? These are basic questions, but for some people living in emerging economies, they’re not so easy to answer. Startups are using clever designs and simple interfaces to provide the information that rural communities need to thrive.
For millions of small landowners around the world, verifying a legal claim to their land is a complex, expensive, and practically insurmountable process. And without documentation that proves that they own their land, protecting their property rights is nearly impossible, as is getting loans to expand their land holdings and businesses.
Landmapp, based in Amsterdam and operating in Ghana, has developed a mobile platform to make mapping and filing claims accessible to small landowners. The company educates farmers about property rights and then, for a small fee, uses its own platform to record and legally validate land ownership. Landmapp uses geospatial technology and cloud data on a tablet, meaning they don’t need fancy and expensive surveying equipment. FarmSeal, Landmapp’s first product, serves farmers; the company is also launching HomeSeal, for homeowners, and CropSeal, for sharecroppers and landowners. The startup’s platform incorporates local government, legal, and traditional community agreements, and is customizable for different locales.
3D-Printed Weather Stations
Weather data drives numerous economic and public safety decisions. But in many countries, a scarcity of weather stations means no data about vast geographic areas. Unfortunately, conventional weather stations are expensive, costing upwards of $20,000 per unit. In emerging economies, governments and rural communities don’t have the resources or training to buy and maintain them.
At the nonprofit university consortium University Corporation for Academic Research, researchers are leveraging 3D printing to fill the weather gap. They’ve devised a weather station that local government agencies can install in rural communities. The units use off-the-shelf, basic sensors, store data on a small computer, and run on energy generated by a single solar panel. The local agencies have 3D printers to create other parts, including the frame and wind gauges, which can be easily customized or replaced.
The cost? About $300. And beyond letting communities know when, for example, rain is on the horizon, the unit can also be a first alert for natural disasters, like floods.
Last August, a woman arrived at a Reno, Nevada, hospital and told the attending doctors that she had recently returned from an extended trip to India, where she had broken her right thighbone two years ago. The woman, who was in her 70s, had subsequently developed an infection in her thigh and hip for which she was hospitalized in India several times. The Reno doctors recognized that the infection was serious—and the visit to India, where antibiotic-resistant bacteria runs rampant, raised red flags.
When none of the 14 antibiotics the physicians used to treat the woman worked, they sent a sample of the bacterium to the U.S. Centers for Disease Control (CDC) for testing. The CDC confirmed the doctors’ worst fears: the woman had a class of microbe called carbapenem-resistant Enterobacteriaceae (CRE). Carbapenems are a powerful class of antibiotics used as last-resort treatment for multidrug-resistant infections. The CDC further found that, in this patient’s case, the pathogen was impervious to all 26 antibiotics approved by the U.S. Food and Drug Administration (FDA).
In other words, there was no cure.
This is just the latest alarming development signaling the end of the road for antibiotics as we know them. In September, the woman died from septic shock, in which an infection takes over and shuts down the body’s systems, according to the CDC’s Morbidity and Mortality Weekly Report.
Other antibiotic options, had they been available, might have saved the Nevada woman. But the solution to the larger problem won’t be a new drug. It will have to be an entirely new approach to the diagnosis of infectious disease, to the use of antibiotics, and to the monitoring of antimicrobial resistance (AMR)—all enabled by new technology.
Keeping an Eye Out for Outbreaks
Like others who are leading the fight against AMR, Dr. Steven Solomon has no illusions about the difficulty of the challenge. “It is the single most complex problem in all of medicine and public health—far outpacing the complexity and the difficulty of any other problem that we face,” says Solomon, who is a global health consultant and former director of the CDC’s Office of Antimicrobial Resistance.
Solomon wants to take the battle against AMR beyond the laboratory. In his view, surveillance—tracking and analyzing various data on AMR—is critical, particularly given how quickly and widely it spreads. But surveillance efforts are currently fraught with shortcomings. The available data is fragmented and often not comparable. Hospitals fail to collect the representative samples necessary for surveillance analytics, collecting data only on those patients who experience resistance and not on those who get better. Laboratories use a wide variety of testing methods, and reporting is not always consistent or complete.
Surveillance can serve as an early warning system. But weaknesses in these systems have caused public health officials to consistently underestimate the impact of AMR in loss of lives and financial costs. That’s why improving surveillance must be a top priority, says Solomon, who previously served as chair of the U.S. Federal Interagency Task Force on AMR and has been tracking the advance of AMR since he joined the U.S. Public Health Service in 1981.
A Collaborative Diagnosis
Ineffective surveillance has also contributed to huge growth in the use of antibiotics when they aren’t warranted. Strong patient demand and financial incentives for prescribing physicians are blamed for antibiotics abuse in China. India has become the largest consumer of antibiotics on the planet, in part because they are prescribed or sold for diarrheal diseases and upper respiratory infections for which they have limited value. And many countries allow individuals to purchase antibiotics over the counter, exacerbating misuse and overuse.
In the United States, antibiotics are improperly prescribed 50% of the time, according to CDC estimates. One study of adult patients visiting U.S. doctors to treat respiratory problems found that more than two-thirds of antibiotics were prescribed for conditions that were not infections at all or for infections caused by viruses—for which an antibiotic would do nothing. That’s 27 million courses of antibiotics wasted a year—just for respiratory problems—in the United States alone.
And even in countries where there are national guidelines for prescribing antibiotics, those guidelines aren’t always followed. A study published in medical journal Family Practice showed that Swedish doctors, both those trained in Sweden and those trained abroad, inconsistently followed rules for prescribing antibiotics.
Solomon strongly believes that, worldwide, doctors need to expand their use of technology in their offices or at the bedside to guide them through a more rational approach to antibiotic use. Doctors have traditionally been reluctant to adopt digital technologies, but Solomon thinks that the AMR crisis could change that. New digital tools could help doctors and hospitals integrate guidelines for optimal antibiotic prescribing into their everyday treatment routines.
“Human-computer interactions are critical, as the amount of information available on antibiotic resistance far exceeds the ability of humans to process it,” says Solomon. “It offers the possibility of greatly enhancing the utility of computer-assisted physician order entry (CPOE), combined with clinical decision support.” Healthcare facilities could embed relevant information and protocols at the point of care, guiding the physician through diagnosis and prescription and, as a byproduct, facilitating the collection and reporting of antibiotic use.
Cincinnati Children’s Hospital’s antibiotic stewardship division has deployed a software program that gathers information from electronic medical records, order entries, computerized laboratory and pathology reports, and more. The system measures baseline antimicrobial use, dosing, duration, costs, and use patterns. It also analyzes bacteria and trends in their susceptibilities and helps with clinical decision making and prescription choices. The goal, says Dr. David Haslam, who heads the program, is to decrease the use of “big gun” super antibiotics in favor of more targeted treatment.
While this approach is not yet widespread, there is consensus that incorporating such clinical-decision support into electronic health records will help improve quality of care, contain costs, and reduce overtreatment in healthcare overall—not just in AMR. A 2013 randomized clinical trial finds that doctors who used decision-support tools were significantly less likely to order antibiotics than those in the control group and prescribed 50% fewer broad-spectrum antibiotics.
Putting mobile devices into doctors’ hands could also help them accept decision support, believes Solomon. Last summer, Scotland’s National Health Service developed an antimicrobial companion app to give practitioners nationwide mobile access to clinical guidance, as well as an audit tool to support boards in gathering data for local and national use.
“The immediacy and the consistency of the input to physicians at the time of ordering antibiotics may significantly help address the problem of overprescribing in ways that less-immediate interventions have failed to do,” Solomon says. In addition, handheld devices with so-called lab-on-a-chip technology could be used to test clinical specimens at the bedside and transmit the data across cellular or satellite networks in areas where infrastructure is more limited.
Artificial intelligence (AI) and machine learning can also become invaluable technology collaborators to help doctors more precisely diagnose and treat infection. In such a system, “the physician and the AI program are really ‘co-prescribing,’” says Solomon. “The AI can handle so much more information than the physician and make recommendations that can incorporate more input on the type of infection, the patient’s physiologic status and history, and resistance patterns of recent isolates in that ward, in that hospital, and in the community.”
Speed Is Everything
Growing bacteria in a dish has never appealed to Dr. James Davis, a computational biologist with joint appointments at Argonne National Laboratory and the University of Chicago Computation Institute. The first of a growing breed of computational biologists, Davis chose a PhD advisor in 2004 who was steeped in bioinformatics technology “because you could see that things were starting to change,” he says. He was one of the first in his microbiology department to submit a completely “dry” dissertation—that is, one that was all digital with nothing grown in a lab.
Upon graduation, Davis wanted to see if it was possible to predict whether an organism would be susceptible or resistant to a given antibiotic, leading him to explore the potential of machine learning to predict AMR.
As the availability of cheap computing power has gone up and the cost of genome sequencing has gone down, it has become possible to sequence a pathogen sample in order to detect its AMR resistance mechanisms. This could allow doctors to identify the nature of an infection in minutes instead of hours or days, says Davis.
Davis is part of a team creating a giant database of bacterial genomes with AMR metadata for the Pathosystems Resource Integration Center (PATRIC), funded by the U.S. National Institute of Allergy and Infectious Diseases to collect data on priority pathogens, such as tuberculosis and gonorrhea.
Because the current inability to identify microbes quickly is one of the biggest roadblocks to making an accurate diagnosis, the team’s work is critically important. The standard method for identifying drug resistance is to take a sample from a wound, blood, or urine and expose the resident bacteria to various antibiotics. If the bacterial colony continues to divide and thrive despite the presence of a normally effective drug, it indicates resistance. The process typically takes between 16 and 20 hours, itself an inordinate amount of time in matters of life and death. For certain strains of antibiotic-resistant tuberculosis, though, such testing can take a week. While physicians are waiting for test results, they often prescribe broad-spectrum antibiotics or make a best guess about what drug will work based on their knowledge of what’s happening in their hospital, “and in the meantime, you either get better,” says Davis, “or you don’t.”
At PATRIC, researchers are using machine-learning classifiers to identify regions of the genome involved in antibiotic resistance that could form the foundation for a “laboratory free” process for predicting resistance. Being able to identify the genetic mechanisms of AMR and predict the behavior of bacterial pathogens without petri dishes could inform clinical decision making and improve reaction time. Thus far, the researchers have developed machine-learning classifiers for identifying antibiotic resistance in Acinetobacter baumannii (a big player in hospital-acquired infection), methicillin-resistant Staphylococcus aureus (a.k.a. MRSA, a worldwide problem), and Streptococcus pneumoniae (a leading cause of bacterial meningitis), with accuracies ranging from 88% to 99%.
Houston Methodist Hospital, which uses the PATRIC database, is researching multidrug-resistant bacteria, specifically MRSA. Not only does resistance increase the cost of care, but people with MRSA are 64% more likely to die than people with a nonresistant form of the infection, according to WHO. Houston Methodist is investigating the molecular genetic causes of drug resistance in MRSA in order to identify new treatment approaches and help develop novel antimicrobial agents.
The Hunt for a New Class of Antibiotics
There are antibiotic-resistant bacteria, and then there’s Clostridium difficile—a.k.a. C. difficile—a bacterium that attacks the intestines even in young and healthy patients in hospitals after the use of antibiotics.
It is because of C. difficile that Dr. L. Clifford McDonald jumped into the AMR fight. The epidemiologist was finishing his work analyzing the spread of SARS in Toronto hospitals in 2004 when he turned his attention to C. difficile, convinced that the bacteria would become more common and more deadly. He was right, and today he’s at the forefront of treating the infection and preventing the spread of AMR as senior advisor for science and integrity in the CDC’s Division of Healthcare Quality Promotion. “[AMR] is an area that we’re funding heavily…insofar as the CDC budget can fund anything heavily,” says McDonald, whose group has awarded $14 million in contracts for innovative anti-AMR approaches.
Developing new antibiotics is a major part of the AMR battle. The majority of new antibiotics developed in recent years have been variations of existing drug classes. It’s been three decades since the last new class of antibiotics was introduced. Less than 5% of venture capital in pharmaceutical R&D is focused on antimicrobial development. A 2008 study found that less than 10% of the 167 antibiotics in development at the time had a new “mechanism of action” to deal with multidrug resistance. “The low-hanging fruit [of antibiotic development] has been picked,” noted a WHO report.
Researchers will have to dig much deeper to develop novel medicines. Machine learning could help drug developers sort through much larger data sets and go about the capital-intensive drug development process in a more prescriptive fashion, synthesizing those molecules most likely to have an impact.
McDonald believes that it will become easier to find new antibiotics if we gain a better understanding of the communities of bacteria living in each of us—as many as 1,000 different types of microbes live in our intestines, for example. Disruption to those microbial communities—our “microbiome”—can herald AMR. McDonald says that Big Data and machine learning will be needed to unlock our microbiomes, and that’s where much of the medical community’s investment is going.
He predicts that within five years, hospitals will take fecal samples or skin swabs and sequence the microorganisms in them as a kind of pulse check on antibiotic resistance. “Just doing the bioinformatics to sort out what’s there and the types of antibiotic resistance that might be in that microbiome is a Big Data challenge,” McDonald says. “The only way to make sense of it, going forward, will be advanced analytic techniques, which will no doubt include machine learning.”
Reducing Resistance on the Farm
Bringing information closer to where it’s needed could also help reduce agriculture’s contribution to the antibiotic resistance problem. Antibiotics are widely given to livestock to promote growth or prevent disease. In the United States, more kilograms of antibiotics are administered to animals than to people, according to data from the FDA.
One company has developed a rapid, on-farm diagnostics tool to provide livestock producers with more accurate disease detection to make more informed management and treatment decisions, which it says has demonstrated a 47% to 59% reduction in antibiotic usage. Such systems, combined with pressure or regulations to reduce antibiotic use in meat production, could also help turn the AMR tide.
Breaking Down Data Silos Is the First Step
Adding to the complexity of the fight against AMR is the structure and culture of the global healthcare system itself. Historically, healthcare has been a siloed industry, notorious for its scattered approach focused on transactions rather than healthy outcomes or the true value of treatment. There’s no definitive data on the impact of AMR worldwide; the best we can do is infer estimates from the information that does exist.
The biggest issue is the availability of good data to share through mobile solutions, to drive HCI clinical-decision support tools, and to feed supercomputers and machine-learning platforms. “We have a fragmented healthcare delivery system and therefore we have fragmented information. Getting these sources of data all into one place and then enabling them all to talk to each other has been problematic,” McDonald says.
Collecting, integrating, and sharing AMR-related data on a national and ultimately global scale will be necessary to better understand the issue. HCI and mobile tools can help doctors, hospitals, and public health authorities collect more information while advanced analytics, machine learning, and in-memory computing can enable them to analyze that data in close to real time. As a result, we’ll better understand patterns of resistance from the bedside to the community and up to national and international levels, says Solomon. The good news is that new technology capabilities like AI and new potential streams of data are coming online as an era of data sharing in healthcare is beginning to dawn, adds McDonald.
The ideal goal is a digitally enabled virtuous cycle of information and treatment that could save millions of dollars, lives, and perhaps even civilization if we can get there. D!
Despite the progress made in some countries, I am also aware of others that are still resistant to digitizing their economy and automating operations. What’s the difference between firms that are digital leaders and those that are slow to mature? From my perspective in working with a variety of businesses throughout Europe, it’s a combination of diversity and technology availability.
European companies are hardly homogenous. Comprising 47 countries across the continent, they serve communities that speak any of 225 spoken languages. Each one is experiencing various stages of digital development, economic stability, and workforce needs.
Nevertheless, as a whole, European firms do prioritize customer acquisition as well as improving efficiency and reducing costs. Over one-third of small and midsize companies are investing in collaboration software, customer relationship management solutions, e-commerce platforms, analytics, and talent management applications. Steadily, business leaders are finding better ways to go beyond data collection by applying predictive analytics to gain real-time insight from predictive analytics and machine learning to automate processes where possible.
Small and midsize businesses have a distinct advantage in this area over their larger rivals because they can, by nature, adopt new technology and practices quickly and act on decisions with greater agility. Nearly two-thirds (64%) of European firms are embracing the early stages of digitalization and planning to mature over time. Yet, the level of adoption depends solely on the leadership team’s commitment.
For many small and midsize companies across this region, the path to digital maturity resides in the cloud, more so than on-premise software deployment. For example, the flexibility associated with cloud deployment is viewed as a top attribute, especially among U.K. firms. This brings us back to the diversity of our region. Some countries prioritize personal data security while others may be more concerned with the ability to access the information they need in even the most remote of areas.
Technology alone does not deliver digital transformation
Digital transformation is certainly worth the effort for European firms. Between 60%–90% of small and midsize European businesses say their technology investments have met or exceeded their expectations – indicative of the steady, powerhouse transitions enabled by cloud computing. Companies are now getting the same access to the latest technology, data storage, and IT resources.
However, it is also important to note that a cloud platform is only as effective as the long-term digital strategy that it enables. To invigorate transformative changes, leadership needs to go beyond technology and adopt a mindset that embraces new ideas, tests the fitness of business models and processes continuously, and allows the flexibility to evolve the company as quickly as market dynamics change. By taking a step back and integrating digital objectives throughout the business strategy, leadership can pull together the elements needed to turn technology investments into differentiating, sustainable change. For example, the best talent with the right skills is hired. Plus, partners and suppliers with a complementary or shared digital vision and capability are onboarded.
The IDC Infobrief confirms what I have known all along: Small and midsize businesses are beginning to digitally mature and maintain a strategy that is relevant to their end-to-end processes. And furthering their digital transformation go hand in hand with the firms’ ability to ignite a transformational force that will likely progress Europe’s culture, social structure, and economy.