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Situational Awareness Technology Uses Big Data To Fight Terrorism

Derek Klobucher

An off-duty law enforcement officer averted further bloodshed last weekend when she stopped a gunman in a San Antonio cinema. The shooter had already wounded two people and fired upon a marked police car when the officer took action, according to San Antonio Express-News.

using real-time intelligenceThe yet-to-be-identified officer recognized signs of trouble from outside the theater, evaluated the safety concerns of innocent civilians around her and took appropriate action. All the while she displayed keen situational awareness, detecting anomalies early and acting fast to prevent disaster.

“Situational awareness is essential for police officers,” Chuck Canterbury, national president of the Fraternal Order of Police, told SAP TV. “It’s extremely important for them to have access to real-time data so that they can prepare, plan and perform.”

This is especially true when employing situational awareness to protect millions of people at once, such as deterring threats at the London 2012 Olympic Games. It can also be useful in the wake of tragedy.

Time is of the Essence

using real-time intelligenceAn Oklahoma state trooper stopped one of the Oklahoma City bombers for a routine traffic violation less than 90 minutes after the devastating attack in 1995 (pictured). The bomber soon drove away free and clear because the trooper had no way of knowing whom he had stopped.

Today he would have.

Situational Awareness can help agencies improve their available information to sense, predict and act in real time. These real-time decision-making capabilities can expedite dissemination of disaster information. One common picture can emerge between all levels of an organization — and between all agencies involved in the response. And first responders can act more effectively to save lives, reduce harm and minimize loss.

An Ounce of Prevention

“Police officers on the ground are there to prevent and detect crime,” Andrew Watson of Greater London’s Metropolitan Police Service told SAP TV. “We should be giving them as much information about the situation they’re in as they need.”

Getting all of the relevant information to prevent crime requires collecting and analyzing far greater amounts of data very quickly. Joining people, process and information can help security agencies deliver a higher level of safety and security to their citizens.

Technology companies must present the data to authorities in a way that they can best use it. SAP does so graphically.

Graphic Crime Scene

an example chart of real-time intelligence“Real-time intelligence can curb a terrorist threat or attack,” according to Parmananda Thangjam and Rukhshaan Omar in a use-case of SAP’s Anti-Terrorism Squad solution (pictured).

“The objective is to [neutralize] the terrorists with real-time intelligence and 360 degree vigilance.”

Law enforcement agencies can analyze how a specific terrorist outfit operates using real-time information about terrorist attacks anywhere in the world via this SAP technology, which is similar to that used in the company’s Situational Awareness solution. Further study of terrorist violence can help authorities avoid future attacks. So can better control and coordination of real-time information over secure mobile networks.

“The ability to run reports in minutes rather than hours — or the ability to generate responses to simple queries in seconds rather than minutes — is where the Big Data tools really come into their own,” MPS’ Watson said. “If it makes policing more efficient and more effective, then it makes London and the other places we police safer.”

This article originally appeared in SAP Business Trends.

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About Derek Klobucher

Derek Klobucher is a Brand Journalist, Content Marketer and Master Digital Storyteller at SAP. His responsibilities include conceiving, developing and conducting global, company-wide employee brand journalism training; managing content, promotion and strategy for social networks and online media; and mentoring SAP employees, contractors and interns to optimize blogging and social media efforts.

The Intelligent Supply Chain: A Use Case For Artificial Intelligence

Dr. Ravi Prakash Mathur

The term artificial intelligence (AI) invokes images of robot uprisings, space missions to galaxies far, far away, and lab-created clones that make humans immortal. For years, thought-provoking talks by professors have entertained the notion of whether AI is—or ever will be—self-aware. The more adventurous among us may be drawn toward theosophical discussions on creationism or debates about the realities and influences of the quantum world.

Current thinking about AI may border on science vision (if not science fiction or philosophy)—perhaps for a good reason. Technologies once imagined only on the movie screen now bring convenience and value to our daily lives. Some examples include gestural interfaces, machine-aided purchases, facial recognition, autonomous cars, miniature drones, ubiquitous advertising, and electronic surveillance. Machines are now making predictions on trading stocks, customer purchases, traffic flows, and crime—much as we saw in the 2002 movie “Minority Report.”

From movie screen to real-world applications

Technology leaders have placed big bets on technologies such as brain-computer interfaces, AI in medicine, and deep learning and machine learning tools. AI is expected to lead the new economy, which is becoming known as the Fourth Industrial Revolution or the Second Machine Age. AI is at the forefront of business innovation, along with emerging technologies such as robotics, the Internet of Things3D printingquantum computing and nanotechnology.

Companies are still deciding how AI can be designed to fit into their processes. However, burning questions persist around whether self-learning machines will replace or assist humans in white-collar and blue-collar jobs:

  • Can machines learn common sense and empathy?
  • Who owns the insights that are generated by AI technology, and who owns the responsibility for an erroneous decision made by a machine?
  • Can you teach a machine how to make a decision when dealing with an ethical dilemma?

While these concerns still require much deliberation, most industries understand that the application of AI in businesses brings immense potential. Currently, the top 10 use cases for the technology are data security, personal privacy, financial trading, healthcare, marketing personalization, fraud detection, recommendations, online search, natural language processing (NLP), and smart cars.

Considering how quickly these new technologies are adopted and adapted to new use cases, it is only a matter of time before we start seeing AI capabilities become a part of the fabric of normal business processes. While routine transactions have already been automated, many companies that are higher on the learning curve use predictive and prescriptive analytics to guide their operations.

In the supply chain management function, people talk about degrees of autonomy in the planning process. From use of historical data for planning, it goes through use of automation that can be overridden and ends at nonoptional automation, where planners cannot review the recommendations of the algorithms. The algorithmic supply chain requires organizational maturity and cultural readiness to embed and regularly rely on systems. The concept of an intelligent supply chain goes a step further by incorporating self-learning capabilities of the machine to make better supply-chain decisions.

An opportunity to “learn” and improve–without disruption

Common wisdom tells us that organisations compete on the strength of their supply chain ecosystems. Future organisations would compete on the strength of intelligence embedded in their systems. Ultimately, the winner will be the supply chain that learns most quickly with greatest precision.

At a fundamental level, machine-learning algorithms are a teaching set of data. The machine then answers a question by adding every possible correct or incorrect answer to the teaching set. The algorithm keeps getting better and smarter over time.

Organisations learn in a similar fashion: Every organisation has its own embedded intelligence, which manifests itself through the behavior of its managers and their response to the environment. Supply-chain managers use it to review and modify machine-generated forecasts, production plans, or procurement plans.

Putting a self-learning loop into the system will allow a machine to analyse, for example, why a manual override was made to its recommendation, and it can then check for it during the next cycle. This capability is helpful with managing transactions such as fixing incorrect settings, changing norms, or addressing evolving market dynamics. Over a period of time, machines would learn how managers prioritize their plans based on emerging business scenarios, not just optimization algorithms.

For more on how advanced technology is transforming traditional business models, see Are You Joining The Machine Learning Revolution?

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Dr. Ravi Prakash Mathur

About Dr. Ravi Prakash Mathur

Dr. Ravi Prakash Mathur is Senior Director of Supply Chain Management (SCM) and Head of Logistics and Central Planning at Dr. Reddy’s Laboratories Ltd. He heads the global logistics, central planning, and central sourcing for the pharmaceutical organization. Winner of the 2015 Top 25 Digitalist Thought Leaders of India award from SAP, Dr. Mathur is an author, coach, and supply chain professional with 23 years of experience and is based in Hyderabad. He is also actively involved in academic activities and is an internal trainer for DRL for negotiation skills and SCM. In 2014, he co-authored the book “Quality Assurance in Pharmaceuticals & Operations Management and Industrial Safety” for Dr. B. R. Ambedkar University, Hyderabad. He is also member of The Departmental Visiting Committee (DVC) for Department of Biotechnology, Motilal Nehru National Institute of Technology (MNNIT) Allahabad. Professional recognitions include a citation from World Bank and International Finance Corporation for his contribution to their publication “Doing Business in 2006” and the winner of the Logistics-Week Young Achiever in Supply Chain Award for 2012.

How Better Clinical Trial Recruitment Can Improve Healthcare

Dr. Harald Sourij

Patients want to be certain that they receive the best treatment available, and clinicians want to ensure they’re delivering optimal care. Unfortunately, in many cases, providers can’t be confident they are delivering care that will result in the best outcome because their treatment may not be current or informed by proven medical findings. Time is of the essence when it comes to care—and clinicians often lack sufficient time to research treatment best practices while treating patients.

Clinical research is an important component of patient care. Treatment should be based on the outcomes from clinical trials. However, evidence that is based on clinical trials is not always available to help providers recommend one medication or course of treatment over another.

The number of clinical trials is increasing significantly, but trials cannot be successful without enough participants to gather evidence. Recruiting participants can be challenging, and it can be difficult to match the right participants with studies. Approximately one out of three clinical trials fails to meet recruitment targets, so the sample size becomes too small to draw scientifically justified conclusions. The remaining two-thirds of trials recruit participants slowly. The effort becomes costly and time-consuming.

Recruitment failure in clinical trials is a major concern in the healthcare industry. It may seem unethical to ask trial participants for time and engagement and potentially expose them to some risk. However, if researchers are not successful in recruiting participants, they may never find answers to some of the most pressing medical research questions.

Big data eases recruitment pain points

New digital tools are starting to help researchers do a better job attracting, matching, and including appropriate clinical trial participants. Technology is also helping to facilitate and improve the patient recruitment process. One key is leveraging the Big Data that already exists in healthcare organizations.

Unfortunately, patient data is often unstructured and lives in disparate systems, so it’s difficult for researchers to identify potential participants. For instance, study nurses have traditionally helped identify subjects who fulfill research study criteria, but they have been held back by the need to sift through files of paper-based patient records. Technology enables researchers extract information from electronic medical records to quickly identify potential study participants.

Using data strategically can not only improve recruitment rates, but it also ensure that participants are a good fit with a particular study. Clinic physicians don’t always ask patients if they are interested in participating in clinical research because they lack the time or don’t have sufficient knowledge of specific trials. Now the records of prospective participants can be flagged, enabling clinicians to discuss the study with them during routine medical care.

patient recruiment analytics

Of course, the ultimate goal of clinical research is improving patient care and outcomes, and improving the clinical trial recruitment process helps do just that and more. Process optimization through automation of time-consuming patient screening improves collaboration, saves time, and facilitates the research process for all end users.

Automated patient recruitment benefits hospitals and healthcare systems and improves patient outcomes by increasing physicians’ awareness of clinical trials. It also benefits life science companies and contract research organizations (CROs) by optimizing trial design and protocol based on eligible patients and reducing research and development cycle time and costs.

Clinical trials set stage for better patient outcomes

Center for Biomarker Research in Medicine (CBmed) is working on an innovative software application to help researchers find and screen eligible patients for clinical trials. While the application is still under development, it aims to address common recruitment challenges.

CBmed and the University Hospital Graz are looking into a trial data model that can store all relevant information, create a trial manually or import details from clinicaltrials.gov to reduce manual intervention, automatically match patient data from electronic medical records, and enter criteria tolerance to improve eligible patient screening results. More information on the CBmed project, Innovative Use of Information for Clinical Care, and Biomarker Research (IICCAB) can be found here.

I began working in clinical research because I wanted to find answers to the questions patients ask every day about their own care. Technological innovation is enabling faster, better clinical trials by improving the participant recruitment process, and it will ultimately lead to evidence-based, life-changing, and life-saving treatments for patients.

For more on how technology can help improve patient outcomes, see Patient Engagement: Key To High-Value Care.

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Dr. Harald Sourij

About Dr. Harald Sourij

Harald Sourij is the the Deputy Director of the Division of Endocrinology and Diabetology and the Head of the Diabetes Outpatient Clinic at the Medical University of Graz, Austria. He also leads the Area Metabolism and Inflammation at the Center for Biomarker Research in Medicine (CBmed) in Graz, Austria. His research activities focus mainly on diabetes and its cardiovascular complications. Harald has published over 100 peer-reviewed manuscripts and book chapters in highly ranked journals including The Lancet, European Heart Journal, and Diabetes Care. He is a member of the European Diabetes Association and of the Diabetes & Cardiovascular Disease Study Group of the EASD and is currently the Treasurer of the Austrian Diabetes Association. He has been awarded the Langerhans Award of the Austrian Diabetes Association in 2013 and the Joseph Skoda Award of the Austrian Society for Internal Medicine in 2015. He served as Associate Editor for the scientific journal Trials (2013-2105).

Running Future Cities on Blockchain

Dan Wellers , Raimund Gross and Ulrich Scholl

Building on the Blockchain Framework

Some experts say these seemingly far-future speculations about the possibilities of combining technologies using blockchain are actually both inevitable and imminent:


Democratizing design and manufacturing by enabling individuals and small businesses to buy, sell, share, and digitally remix products affordably while protecting intellectual property rights.
Decentralizing warehousing and logistics by combining autonomous vehicles, 3D printers, and smart contracts to optimize delivery of products and materials, and even to create them on site as needed.
Distributing commerce by mixing virtual reality, 3D scanning and printing, self-driving vehicles, and artificial intelligence into immersive, personalized, on-demand shopping experiences that still protect buyers’ personal and proprietary data.

The City of the Future

Imagine that every agency, building, office, residence, and piece of infrastructure has an entry on a blockchain used as a city’s digital ledger. This “digital twin” could transform the delivery of city services.

For example:

  • Property owners could easily monetize assets by renting rooms, selling solar power back to the grid, and more.
  • Utilities could use customer data and AIs to make energy-saving recommendations, and smart contracts to automatically adjust power usage for greater efficiency.
  • Embedded sensors could sense problems (like a water main break) and alert an AI to send a technician with the right parts, tools, and training.
  • Autonomous vehicles could route themselves to open parking spaces or charging stations, and pay for services safely and automatically.
  • Cities could improve traffic monitoring and routing, saving commuters’ time and fuel while increasing productivity.

Every interaction would be transparent and verifiable, providing more data to analyze for future improvements.


Welcome to the Next Industrial Revolution

When exponential technologies intersect and combine, transformation happens on a massive scale. It’s time to start thinking through outcomes in a disciplined, proactive way to prepare for a future we’re only just beginning to imagine.

Download the executive brief Running Future Cities on Blockchain.


Read the full article Pulling Cities Into The Future With Blockchain

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About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Raimund Gross

About Raimund Gross

Raimund Gross is a solution architect and futurist at SAP Innovation Center Network, where he evaluates emerging technologies and trends to address the challenges of businesses arising from digitization. He is currently evaluating the impact of blockchain for SAP and our enterprise customers.

Ulrich Scholl

About Ulrich Scholl

Ulrich Scholl is Vice President of Industry Cloud and Custom Development at SAP. In this role, Ulrich discovers and implements best practices to help further the understanding and adoption of the SAP portfolio of industry cloud innovations.

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Culture: More Than Just An HR Thing

Shane Green

“Company culture shapes every minute of the workday and every decision that is made.” -Taylor Smith, CEO & Cofounder of Blueboard.

What is culture? I consider it the collective mindset and attitude of your employees about what they do, which manifests itself in how they do things—in other words, their actions and behaviors. These behaviors manifest themselves in their interactions with your company, your customers, and other associates or staff.

This mindset—the one your staff brings to work every day—determines how they will take care of your customers, how much effort they will put into their work, and whether or not they will stay with you long-term.

The mindset and attitude of your employees plays a significant role in how they will perform at work. How someone feels about coming to work affects his or her energy levels and cognitive abilities. The impact of a negative culture is tremendous. It can lead to poor customer interactions, high turnover, underperforming staff, and in turn, reduced profits. Depending on the size of your company, the cost could be thousands, millions, or even billions of dollars.

The research is clear across industries: When your employees are more positive, your company is more productive and profitable. According to a Gallup study from 2012, organizations with engaged employees are:

  • 10% more customer service-oriented
  • 21% more productive
  • 22% more profitable

When you consider the numbers, culture is the most important consideration in business today. And as a result, we should reconsider the position and idea that culture is only the responsibility of your human resources team. Culture must be the focus and responsibility of every executive, owner, and manager in your company.

I often hear owners, executives, and managers argue against investing in their staff. Here are a few of the arguments I hear most frequently:

  • We need to remain focused on our customers and their experience. After all, we are in the customer experience economy. While customers are important, I would argue that we are in the employee experience economy. The talent war is over—talent won, and as a result, if we do not take care of our best and brightest people, another company will. And if you take care of your employees and they feel good about who they work for and what they do, they will naturally take care of your customers anyway.
  • Employees (especially young ones) don’t work hard anyway, so why give them more? The reality is this generation, just like previous generations, have the capacity to work very hard; it’s just that the new generation of workers don’t see the value in investing in a business that doesn’t invest in them.
  • The employees will just leave anyway. To this I say: maybe they will, but if you want any chance to keep your best and brightest, you need to provide them a better employee experience than they received in the past.

If you are focused on profits and productivity (and let’s face it, who isn’t?), then you must be willing to deliver a better employee experience to positively impact the mindset and attitude of your people coming to work. Culture is the most important thing in business today, so every owner, executive, and manager must keep it front and center in everything they do.

Remember what author Stephen Covey said: “The main thing is to keep your main thing the main thing.” Make culture your main thing.

Additional resources

Photo Credit: Françoise Challard Flickr via Compfight cc

 

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