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Internet of Things –Challenges, Perspectives and Opportunities

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What is Internet of Things (IoT)?
The Internet of Things represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The Internet of Things vision is grounded in the belief that the steady advances in microelectronics, communications and information technology we have witnessed in recent years will continue into the foreseeable future.

“Smart” objects play a key role in the Internet of Things vision, since embedded communication and information technology have the potential to revolutionize the utility of these objects. Using sensors, they are able to perceive their context, and via built-in networking capabilities they would be able to communicate with each other, access Internet services and interact with people.

All „Things“ connected

The digital world is expanding rapidly, doubling in size every two years according to a recent report from IDC (The International Data Corporation) and EMC (Digital Universe Study). More and more data are being generated extremely from the ever-expanding number of connected devices, i.e. “things” – from washing machines, refrigerators, and microwaves to cars and thermostats – expected to account for 10% of the 44 trillion gigabyte digital universe by the year 2020.

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We are still early in the adoption of the IoT and the disruption in its truest sense is yet to be witnessed.  However, economic and technological barriers are receding, and with the increase of connected devices and evolving analytics capabilities, the possibilities for IoT seem limitless.
However, with lots of advantages of the IoT, comes also a range of both benefits and concerns – improved connectivity and communication between humans and things brings increased concerns over privacy, data security and regulation. While the opportunities for IoT are great, significant challenges still remain. IoT implementations are complex, given the need to connect with the cloud, manage and analyze data in a secure way, and integrate with existing infrastructure.

One of the biggest challenges behind IoT is to transform this huge amount of generated, raw data into valuable knowledge.

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“I firmly believe that the EU Commission will continue to support research in IoT in Horizon 2020, the forthcoming EU research and innovation framework programme starting in 2014”

 

Global Market Value of $1.9 Trillion by 2020

According to Frost & Sullivan’s, Milroy says the “explosion” of Internet of Things  over the next few years will be driven by “the nexus of low-cost sensors, cloud computing, advanced data analytics and mobility.” Transportation and logistics represent the biggest revenue opportunities today for an Internet of Things ecosystem, she adds. “The deployment of low-cost, IP -enabled sensors within things that move products around and operate within the actual products opens vast opportunities far beyond just the supply chain optimization.

There are gains to be made in many industries such as transportation, healthcare, pharmaceuticals, manufacturing, energy management, facility management, security and surveillance, utilities, telecom, finance, insurance and many more. Basically, every sector in every system will be part of the connected world.”

Gartner predicted that the global economic value of IoT will be $1.9 trillion by 2020. IDC estimates that devices connected to the Internet will generate nearly $9 trillion in annual sales by 2020.

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Example of IoT implementation in Transportation

The Internet of Things can be used by public transportation systems to automate a variety of tasks for both riders and employees. Bus operators can see their position in route, ticket sales, camera and more. They can control music and video. The system also allows for location-based advertising. And bus riders – how about a text a few minutes before the bus arrives or an ad for a nearby shopping center on your way home from work.

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IDC describes the IoT as a network connecting – either wired or wireless – devices (things) that is characterized by automatic provisioning, management, and monitoring. It is innately analytical and integrated, and includes not just intelligent systems and devices, but connectivity enablement, platforms for device, network and application enablement, analytics and social business, and applications and vertical industry solutions. It is more than traditional machine-to-machine communication.
Indeed, it is more than the traditional Information and Communications Technology (ICT) industry itself.

The Internet of Things Is Redefining Enterprise IT
The Internet of Things (IoT) is changing the business playing field, creating opportunities for
new sources of revenue, smarter interactions with customers, and greater efficiencies. Yet IoT introduces new technical challenges. How do you securely connect intelligent devices via the Internet to your enterprise, capture data at the “point of action,” and analyze huge volumes of machine-generated data in real time?

The Internet of Things will be one of the most disruptive technology trends of the next decade, with sweeping implications for businesses and policymakers.

„The real promise of the Internet of Things lies in the ability to combine machine-generated data with data created by humans for deeper insight, understanding, and real-time decision making.“

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Opportunities and Challenges of Connecting Your Business to the Internet of Things

Opportunities:
o    Create and Deliver new experiences for customers – offer new services, enhance existing products and build entirely new ways of doing business.
o    Cost reduction and efficiency – The right combination of connected devices, infrastructure, data analytics, and processing – specific  to the industry – can help companies reduce costs incurred due to operational inefficiencies – such as delays in response time, waste of assets, process inaccuracies and loss due to human error.  One can take advantage of the almost boundless potential provided by the mass quantities of data produced in IoT transactions and making it valuable through advanced analytics.
o    Risk management – Enterprises are exposed to risk in the physical and virtual security of assets and data, the physical safety of workers – especially those deployed in the field. With connected devices and the organization of data, business can now take informed decisions to better manage risk associated with being open for business.
o    Opportunity in revenue growth and innovation – Nearly three-fourths of enterprises who express interest in adopting IoT solutions are looking for new business opportunities and ways to fortify existing products.

Challenges
o    Concerns on Security and interoperability – make CIOs unsure of the economic rewards relative to the risks of implementing IoT solutions. Consumer-facing functions are more vulnerable to risk related to breach of privacy security concerns.
o    No clarity on ROI – IoT providers (of hardware infrastructure, software, communications, and devices) have yet to articulate compelling propositions for how IoT solutions can drive lasting economic value for the enterprise

Peek at the Future

The Internet of Things – simply thought of as “the extension of the Internet to the physical world”– will reshape the way business is done across every sector of the economy and every industry. It will bring previously offline businesses and processes online.

It will redefine companies’ entire business models, their relationships with their customers, and the structures of their organizations.

The Internet of Things is the next big thing. It offers businesses the opportunity to develop new services, improve real-time decision making, solve critical problems, and develop new end-user experiences. IoT is driving a world of increasingly connected devices, seamless connectivity from sensors to the data center, cloud economics for computing and data, and the acceleration of big data analytics. This sounds great, but how does this relate to your business? Or to your existing and legacy infrastructure?
How can IoT solutions be deployed efficiently? And what are some real life examples to learn from?

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Science & Technology

Ten Ways the C-Suite Can Protect their Company against Cyberattack

MD Staff

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Cyberattacks are one of the top 10 global risks of highest concern in the next decade, with an estimated price tag of $90 trillion if cybersecurity efforts do not keep pace with technological change. While there is abundant guidance in the cybersecurity community, the application of prescribed action continues to fall short of what is required to ensure effective defence against cyberattacks. The challenges created by accelerating technological innovation have reached new levels of complexity and scale – today responsibility for cybersecurity in organizations is no longer one Chief Security Officer’s job, it involves everyone.

The Cybersecurity Guide for Leaders in Today’s Digital World was developed by the World Economic Forum Centre for Cybersecurity and several of its partners to assist the growing number of C-suite executives responsible for setting and implementing the strategy and governance of cybersecurity and resilience. The guide bridges the gap between leaders with and without technical backgrounds. Following almost one year of research, it outlines 10 tenets that describe how cyber resilience in the digital age can be formed through effective leadership and design.

“With effective cyber-risk management, business executives can achieve smarter, faster and more connected futures, driving business growth,” said Georges De Moura, Head of Industry Solutions, Centre for Cybersecurity, World Economic Forum. “From the steps necessary to think more like a business leader and develop better standards of cyber hygiene, through to the essential elements of crisis management, the report offers an excellent cybersecurity playbook for leaders in public and private sectors.”

“Practicing good cybersecurity is everyone’s responsibility, even if you don’t have the word “security” in your job title,” said Paige H. Adams, Global Chief Information Security Officer, Zurich Insurance Group. “This report provides a practical guide with ten basic tenets for business leaders to incorporate into their company’s day-to-day operations. Diligent application of these tenets and making them a part of your corporate culture will go a long way toward reducing risk and increasing cyber resilience.”

“The recommendation to foster internal and external partnerships is one of the most important, in my view,” said Sir Rob Wainwright, Senior Cyber Partner, Deloitte. “The dynamic nature of the threat, not least in terms of how it reflects the recent growth of an integrated criminal economy, calls on us to build a better global architecture of cyber cooperation. Such cooperation should include more effective platforms for information sharing within and across industries, releasing the benefits of data integration and analytics to build better levels of threat awareness and response capability for all.”

The Ten Tenets

1. Think Like a Business Leader – Cybersecurity leaders are business leaders first and foremost. They have to position themselves, teams and operations as business enablers. Transforming cybersecurity from a support function into a business-enabling function requires a broader view and a stronger communication skill set than was required previously.

2. Foster Internal and External Partnerships – Cybersecurity is a team sport. Today, information security teams need to partner with many internal groups and develop a shared vision, objectives and KPIs to ensure that timelines are met while delivering a highly secure and usable product to customers.

3. Build and Practice Strong Cyber Hygiene – Five core security principles are crucial: a clear understanding of the data supply chain, a strong patching strategy, organization-wide authentication, a secure active directory of contacts, and encrypted critical business processes.

4. Protect Access to Mission-Critical Assets – Not all user access is created equal. It is essential to have strong processes and automated systems in place to ensure appropriate access rights and approval mechanisms.

5. Protect Your Email Domain Against Phishing – Email is the most common point of entry for cyber attackers, with the median company receiving over 90% of their detected malware via this channel. The guide highlights six ways to protect employees’ emails.

6. Apply a Zero-Trust Approach to Securing Your Supply Chain – The high velocity of new applications developed alongside the adoption of open source and cloud platforms is unprecedented. Security-by-design practices must be embedded in the full lifecycle of the project.

7. Prevent, Monitor and Respond to Cyber Threats – The question is not if, but when a significant breach will occur. How well a company manages this inevitability is ultimately critical. Threat intelligence teams should perform proactive hunts throughout the organization’s infrastructure and keep the detection teams up to date on the latest trends.

8. Develop and Practice a Comprehensive Crisis Management Plan – Many organizations focus primarily on how to prevent and defend while not focusing enough on institutionalizing the playbook of crisis management. The guide outlines 12 vital components any company’s crisis plan should incorporate.

9. Build a Robust Disaster Recovery Plan for Cyberattacks – A disaster recovery and continuity plan must be tailored to security incident scenarios to protect an organization from cyberattacks and to instruct on how to react in case of a data breach. Furthermore, it can reduce the amount of time it takes to identify breaches and restore critical services for the business.

10. Create a Culture of Cybersecurity – Keeping an organization secure is every employee’s job. Tailoring trainings, incentivizing employees, building elementary security knowledge and enforcing sanctions on repeat offenders could aid thedevelopment of a culture of cybersecurity.

In the Fourth Industrial Revolution, all businesses are undergoing transformative digitalization of their industries that will open new markets. Cybersecurity leaders need to take a stronger and more strategic leadership role. Inherent to this new role is the imperative to move beyond the role of compliance monitors and enforcers.

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Moving First on AI Has Competitive Advantages and Risks

MD Staff

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Financial institutions that implement AI early have the most to gain from its use, but also face the largest risks. The often-opaque nature of AI decisions and related concerns of algorithmic bias, fiduciary duty, uncertainty, and more have left implementation of the most cutting-edge AI uses at a standstill. However, a newly released report from the World Economic Forum, Navigating Uncharted Waters, shows how financial services firms and regulators can overcome these risks.

Using AI responsibly is about more than mitigating risks; its use in financial services presents an opportunity to raise the ethical bar for the financial system as a whole. It also offers financial services a competitive edge against their peers and new market entrants.

“AI offers financial services providers the opportunity to build on the trust their customers place in them to enhance access, improve customer outcomes and bolster market efficiency,” says Matthew Blake, Head of Financial Services, World Economic Forum. “This can offer competitive advantages to individual financial firms while also improving the broader financial system if implemented appropriately.”

Across several dimensions, AI introduces new complexities to age-old challenges in the financial services industry, and the governance frameworks of the past will not adequately address these new concerns.

Explaining AI decisions

Some forms of AI are not interpretable even by their creators, posing concerns for financial institutions and regulators who are unsure how to trust solutions they cannot understand or explain. This uncertainty has left the implementation of cutting-edge AI tools at a standstill. The Forum offers a solution: evolve past “one-size-fits-all” governance ideas to specific transparency requirements that consider the AI use case in question.

For example, it is important to clearly and simply explain why a customer was rejected for a loan, which can significantly impact their life. It is less important to explain a back-office function whose only objective is to convert scans of various documents to text. For the latter, accuracy is more important than transparency, as the ability of this AI application to create harm is limited.

Beyond “explainability”, the report explores new challenges surrounding bias and fairness, systemic risk, fiduciary duty, and collusion as they relate to the use of AI.

Bias and fairness

Algorithmic bias is another top concern for financial institutions, regulators and customers surrounding the use of AI in financial services. AI’s unique ability to rapidly process new and different types of data raise the concern that AI systems may develop unintended biases over time; combined with their opaque nature such biases could remain undetected. Despite these risks, AI also presents an opportunity to decrease unfair discrimination or exclusion, for example by analyzing alternative data that can be used to assess ‘thin file’ customers that traditional systems cannot understand due to a lack of information.

Systemic risk

The widespread adoption of AI also has the potential to alter the dynamics of the interactions between human actors and machines in the financial system, creating new sources of systemic risk. As the volume and velocity of interactions grow through automated agents, emerging risks may become increasingly difficult to detect, spread across various financial institutions, Fintechs, large technology companies, and other market participants. These new dynamics will require supervisory authorities to reinvent themselves as hubs of system-wide intelligence, using AI themselves to supervise AI systems.

Fiduciary duty

As AI systems take on an expanded set of tasks, they will increasingly interact with customers. As a result, fiduciary requirements to always act in the best interests of the customer may soon arise, raising the question if AI systems can be held “responsible” for their actions – and if not, who should be held accountable.

Algorithmic collusion

Given that AI systems can act autonomously, they may plausibly learn to engage in collusion without any instruction from their human creators, and perhaps even without any explicit, trackable communication. This challenges the traditional regulatory constructs for detecting and prosecuting collusion and may require a revisiting of the existing legal frameworks.

“Using AI in financial services will require an openness to new ways of safeguarding the ecosystem, different from the tools of the past,” says Rob Galaski, Global Leader, Banking & Capital Markets, Deloitte Consulting. “To accelerate the pace of AI adoption in the industry, institutions need to take the lead in developing and proposing new frameworks that address new challenges, working with regulators along the way.”

For each of the above described concerns, the report outlines the key underlying root causes of the issue and highlights the most pressing challenges, identifies how those challenges might be addressed through new tools and governance frameworks, and what opportunities might be unlocked by doing so.

The report was prepared in collaboration with Deloitte and follows five previous reports on financial innovation. The World Economic Forum will continue its work in Financial Services, with a particular focus on AI’s connections to other emerging technologies in its next phase of research through mid-2020.

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US Blacklist of Chinese Surveillance Companies Creates Supply Chain Confusion

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The United States Department of Commerce’s decision to blacklist 28 Chinese public safety organizations and commercial entities hit at some of China’s most dominant vendors within the security industry. Of the eight commercial entities added to the blacklist, six of them are some of China’s most successful digital forensics, facial recognition, and AI companies. However, the two surveillance manufacturers who made this blacklist could have a significant impact on the global market at large—Dahua and Hikvision.

Putting geopolitics aside, Dahua’s and Hikvision’s positions within the overall global digital surveillance market makes their blacklisting somewhat of a shock, with the immediate effects touching off significant questions among U.S. partners, end users, and supply chain partners.

Frost & Sullivan’s research finds that, currently, Hikvision and Dahua rank second and third in total global sales among the $20.48 billion global surveillance market but are fast-tracking to become the top two vendors among IP surveillance camera manufacturers. Their insurgent rise among IP surveillance camera providers came about due to both companies’ aggressive growth pipelines, significant product libraries of high-quality surveillance cameras and new imaging technologies, and low-cost pricing models that provide customers with higher levels of affordability.

This is also not the first time that these two vendors have found themselves in the crosshairs of the U.S. government. In 2018, the U.S. initiated a ban on the sale and use of Hikvision and Dahua camera equipment within government-owned facilities, including the Department of Defense, military bases, and government-owned buildings. However, the vague language of the ban made it difficult for end users to determine whether they were just banned from new purchases of Dahua or Hikvision cameras or if they needed to completely rip-and-replace existing equipment with another brand. Systems integrators, distributors, and even technology partners themselves remained unsure of how they should handle the ban’s implications, only serving to sow confusion among U.S. customers.

In addition to confusion over how end users in the government space were to proceed regarding their Hikvision and Dahua equipment came the realization that both companies held significant customer share among commercial companies throughout the U.S. market—so where was the ban’s line being drawn for these entities? Were they to comply or not? If so, how? Again, these questions have remained unanswered since 2018.

Hikvision and Dahua each have built a strong presence within the U.S. market, despite the 2018 ban. Both companies are seen as regular participants in industry tradeshows and events, and remain active among industry partners throughout the surveillance ecosystem. Both companies have also attempted to work with the U.S. government to alleviate security concerns and draw clearer guidelines for their sales and distribution partners throughout the country. They even established regional operations centers and headquarters in the country.

While blacklisting does send a clearer message to end users, integrators, and distributors—for sales and usage of these companies’ technologies—remedies for future actions still remain unclear. When it comes to legacy Hikvision and Dahua cameras, the onus appears to be on end users and integrators to decide whether rip-and-replace strategies are the best way to comply with government rulings or to just leave the solutions in place and hope for the best.

As far as broader global impacts of this action, these will remain to be seen. While the 2018 ban did bring about talks of similar bans in other regions, none of these bans ever materialized. Dahua and Hikvision maintained their strong market positioning, even achieving higher-than-average growth rates in the past year. Blacklisting does send a stronger message to global regulators though, so market participants outside the U.S. will just have to adopt a wait-and-see posture to see how, if at all, they may need to prepare their own surveillance equipment supply chains for changes to come.

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