Connected and intelligent products: what strategy you should adapt to monetize the Internet of Things?

If you own a small/ medium or a global industry, you’ve certainly entered a level in the Internet of Things (IoT) and have probably invested in infrastructure and strategies. Why? I think it’ll be enough to say that this technology opens up a whole new source of product opportunities, development of existing products or of “business models”.

A recent study done by McKinsey entitled “Unlocking the potential of the Internet of Things” revealed that the business prospects of the IoT are astronomical as it evaluates between $3.9 and $11.1 trillion per year by 2025! In this new economy, it seems that three critical strategies must be addressed.

 

the IoT _ Internet of things

 

    • Product-as-a-Service

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Products of IoT are smart and connected. But to take full advantage, it’s essential to move towards a model based on subscriptions, and more specifically, to realize that for a user (i.e. a potential subscriber), quality of customer experience is greater than the product itself. Thus, the McKinsey study points out that the ability to monitor devices on the same customer site allows the manufacturer to market them as “services” with the new possibility offered by the IoT by introducing a pay per use business model. No doubt that this business model has many other benefits: to guide the development of new products, cross selling or additional sales, etc. As noted by the study: “This approach allows service providers to build relationships more “intimate” with their customers in which competitors will have great difficulty to interfere.”

 

Many questions about this transition from products to services remain. Now, it is indeed a trend in the market, as evidenced by numerous creations of companies whose success and valuation have not denied. Recall, for example, Apple recently began marketing its hardware through outright membership. Many saw it as a simple competitive response, reproducing the model already offered by major market participants. However, as evidenced by a recent market study by Goldman Sachs, the growth prospects are well beyond this perception simply a reactive attitude to competition. In its report “Market Conviction,” Goldman Sachs strongly recommends buying Apple shares and specify their target listing at $160 per share – a gain of some 50% from its current closing price! Why? Monetization services. The merger of its services and materials in a comprehensive subscription system is indeed now the most promising form of development because of its high value.

 

A recent interview with Andy Mattes, CEO of Diebold (leading manufacturer and distributor of ATM) focused on how to maximize the creation of shareholder value in the context of a recent buyout and change the competitive landscape. The discussion was organized around two key issues: first, the ability of Diebold to optimize production and to integrate biometric technologies to its intelligent connected devices and the other, his propensity to create value by marketing production as a service, which’ll have a direct impact on his company’s shares value. How? By increasing margins, providing cost-effective and customer-centric software solutions. Such examples are now commonplace in the extent that the pay per use billing model are more favorable to the customer through monitoring tools and measuring product use.

 

Whether in B2B or B2C field, the Internet of Things has the ability to transform virtually any product in use, and therefore create ideal foundation to build closer and lasting relationships with customers. The operational challenge for companies is therefore to build a transitional infrastructure allowing them to adopt a mode of development centered on the new subscription model.

 

    • Be aware of the behavior of your product/service subscribers

 

Connectivity is not something that is confined to humans. In fact, the number of connected devices has long surpassed the number of humans on the planet. We note today that consumers will own more and more connected devices of all kinds – their cars, their home automation systems and other various connected devices. However, to succeed in this area, it’s certainly not enough to “stick” sensors on a given object to turn it into a “smart product”. It’s a challenge to think in terms of “value creation”; a trend recognized by many companies. The new connected health assistant launched by Visiomed is a good example. With the critical data collected from the patient, this wizard allows a new experience of health through the power of artificial intelligence that has demonstrated 87% consistent diagnoses and complementarity of e-consultancy platform.

 

This notion of the expected end result is also crucial in the world of the Internet of Things for the general public. Nest is not just a thermostat. Instead it shall be considered a “brain Automation”, capable of storing heating habits, to issue warnings of the presence of certain particles in the air. Similarly, vehicles benefiting from Autonet mobile connections have permanent diagnostic system allowing for example to generate alerts to plan the control of vehicle emissions, control the speed of a young driver, sent notifications to chosen contacts when airbags are deployed etc.

 

To meet the expectations of discerning consumers and to better inform them, it is therefore essential to develop services that can “learn” and adapt their behavior to improve themselves fully autonomously.

 

    • Monetizing and securing data

 

The Internet of objects leads to a radical change in the safety concept. The recent “piracy” of Cherokee Jeeps showed that a connected car is likely to be diverted away, even if the driver is at the wheel! Always keep in mind that this type of threat is expected to grow in the same proportion as the explosion of the number of connected devices.     Thus you must NOT underestimate the brain power of a hacker!

 

The safety of the Internet of Things requires indeed implementation of two basic security principles: a robust authentication system and highly secure communication system. A leading solution that supports these two features exists since decades through public key infrastructure (PKI). This system establishes indeed a platform of “trust” with strong authentication/identification services and encryption mechanism based on digital certificates.

 

It’s not certain that the PKI environment is ideal for long term; however, so far it’s the best option for all companies active in the IoT objects wishing to protect their customers – and by the same- their own reputation. There is no doubt that now data security presents same priority like physical security for all companies involved in the IoT.

 

In short: The Customer is ALWAYS the King!       

 

New business models constantly change over the progress of the Internet of things to offer increasingly demanding customers new consumption patterns. In this new context, the winners will be undoubtedly those who will have evolved rather quickly towards centered subscriptions approaches and commercialization of products as a service (PaaS). It’s a challenge that can seem overwhelming to some as far as it’s actually considered as a true organizational reconstruction and completely rethinking its existing management systems. As always, the precursors will be tomorrow’s leaders in their respective markets.

 

The Internet of Things certainly raises many issues but no doubt, those who’ll dive in and take part of this adventure will be the winners of this connected world. This is why you must focus on customer needs for services rather than thinking in terms of creating new generations of products.

 

What your customer needs? What results do they expect? And finally, what security measures you can implement to protect them? If you have answers of these questions you have enough power to be a leader in your sector.

 

Sources:

 

Key strategies of a Big Data project implementation

Focusing on Big Data and analytics to create a real competitive advantage requires a structured and effective approach to collect, clean, correlate and analyze all of the gathered data. To facilitate the task, we’ve gathered three key strategies of this process to ensure the success of your Big Data project implementation.

 

Identify and collect important data for your business: 

 

Above everything in Big Data project, it’s essential to target information to be collected in order to ensure a significant return on investment. Avoid investing in information process which cost can be higher than their potential value.

While benefits are being experienced and are expected from Big Data projects, there are complexities that organizations need to consider. The amount of data organizations have access to is expected to continue to increase. The more data there is in different forms (both structured and unstructured); the more complex processes involved to ensure that analysis of the data is comprehensive, meaningful, and useful.

An innovative approach exists and allows, from a graphical interface, easy to use, integrate data of any kind, transform and manage quality, natively in Hadoop clusters. By overcoming the complexities of programming under Hadoop, IT can respond more quickly and less costly to business demands.

 

Manage data quality: 

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Cleaning data while using or storing it in huge repositories is hardly effective. It is best to complete this step “live”: when transactions are in progress within the systems, for example when a user clicks “OK” on your web site, or an RSS feed notifies you a new message on a blog.

Correlate information from different sources is also essential. For example, you can greatly optimize your marketing actions knowing that “tcook 1968” which visited your website is the same person as “Thomas Cook” that made a credit card payment by phone last month, and visited your physical store by presenting himself as “Thomas Cook”.

Create a data quality Firewall can help you ensure the quality of data, before the gathered data spread to other departments of your company. This firewall will improve business processes, reporting and will optimize the correlation and management analysis of Big Data.

 

Analyze and disseminate information: 

 

Business users are now seeking to free themselves from complex solutions, often imposed by the IT department and poorly adapted to their daily needs. The self-service analysis tools today allow many employees to explore their data, to produce content with high added value, and share it across the organization or beyond it.

This agility, access and manipulation of data, however, must not go against the company’s governance rules. For this reason, it is essential to have a platform with security and a unique repository to handle all of the valuable data chain.

The self-service analysis, through a portal or an application, should not overcome information delivery capabilities to a large number of recipients, regardless of the medium (smartphone, tablet) a schedule or updated in real time.

 

Organizations that do not create Big Data projects in an organized, future-looking way may find that their solutions become more challenging and less appropriate to use over time.

Cybersecurity and Digital Businesses Transformation

In a special report on digital business transformation and cybersecurity, Gartner affirms that as organizations migrate their business to digital, a lack of directly-held infrastructure and services outside of IT’s management can ought to be self-addressed by cybersecurity. “Gartner predicts by 2020, 60% of Digital Businesses will suffer major service failures due to the inability of IT Security Teams to Manage DigitalRisk

As Digital Transformation initiatives gain pace across the world, the threat of cyber-attack grows in tandem. Further risks stem from the evolving business and regulatory requirements and technology trends that are posing new cybersecurity challenges and endangering the success of digital programs.

 

We all know today’s business depends on technology and digital systems are now lifeblood of an organization. With that being said, Paul Proctor, vice president and distinguished analyst at Gartner, affirms that “Cybersecurity is an important part of digital-business with its new challenges in an open digital-world“.

Organizations leaders must realize that it’s time for a fundamental rethink of how cybersecurity is positioned and understood within their organizations and which innovation they must do to survive digital risks.

 

Let’s have a look on 5 key areas of focus, identified by Gartner, to address successfully cybersecurity in digital business:

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Hard to admit, but the perfect protection is not feasible. Gartner states that 60% of cyber security budgets in the companies will be dedicated to the early detection of threats in 2020. This is less than 30% in 2016. “Organizations need to detect and respond to malicious behavior and incidents, because even the best preventive controls may not prevent all incidents, “says Gartner.

 

  1. Improve the leadership and governance : Improving leadership, getting governance right, making security a board-level priority, measuring leading indicators to catch problems while they are still small, is more important than the development of tools and skills when it comes to cybersecurity and technology risk in digital business. Governance, data infrastructure, decision making, prioritization, budget allocation, awareness, budget allocation, reporting, transparency and accountability are key features to protect and run any business.
  2. Adapt to evolving threats: In today’s connected, information-heavy world, organizations across all sectors are facing not simply escalating risk, but the near-certainty that they will suffer an information security breach. IT department must overcome the challenge to prevent all threats and risk management. Gartner predicts that companies will spent 60% of cyber security budgets to early detect threats in 2020 instead of waiting for the last minute. Only a sharp focus on business structure, culture and risks will let you better safeguard the data essential to your organization’s survival and success and prevent all nightmares.
  3. Alignment of cybersecurity at the speed of digital business: Organizations that adopt digital go at a faster pace than traditional companies. So the same logic must go for security systems, with that being said, the traditional security system will stop working in the new era of digital innovation. Organizations must invest in their security system in order to innovate them to avoid all obstacles. Companies are increasingly reliant on digital data to drive their growth. The “bad guys” have recognized this, have fortified their techniques and are enjoying significant success; while the “good guys” are still trying to fight a modern war! Having a well-defined security program can help management make an informed choice about how to invest in security. All organizations able to successfully establish an ecosystem that protect and grow business will remain competitive.
  4. Explore the new era of cybersecurity: Before it was perhaps easier to protect data because they resided exclusively in the data center. New technologies are now overflowing data outside via the cloud and mobile etc. For example, in 2018, 25% of company’s data will come directly from IOT (=from mobile to the cloud), and by circumventing enterprise security controls. Organizations must now respond to the issues of cybersecurity and risks of technologies and assets that they no longer own or control.
  5. People and Process – Cultural Change: As companies support productivity through the rapid integration of bring your own device (BYOD), cloud computing and other aspects of total mobility, there is a corresponding increase in the risk to which the information located on or accessed via these channels is exposed. With the acceleration of digital business and the power technology gives individuals, it is now critical to address behavior change and engagement from employees to customers. Internal threats to information security run from the inadvertent (simple user error, loss of mobile devices) to the malicious (internal fraud, data theft). Cybersecurity must meet the needs of people through the process of change. People-centric security gives each person in an organization increasing autonomy in how he or she uses information and devices — and what level of security adopted when he or she uses it. The individual then has a certain set of rights in using technology and is linked to the group in the entire enterprise. The individual must also recognize that if things go wrong, it will have an impact on the team, group and business.

 

Sources: Special report – Cybersecurity at the Speed of Digital Business

Artificial intelligence and connected objects, trends of the upcoming years?

Artificial intelligence

Artificial intelligence, great topic of the moment? Yet the term dates back to the 1950s! AI is the term used most commonly for Artificial Intelligence. The concept is to develop computer programs that perform tasks that are normally performed by human. The goal is to give machines (robots) ability to seem like they have human intelligence. I’m pretty sure that at this point we all have seen robots doing the grunt work in factories, intelligence driverless cars, and companies are using AL to improve their product and increase sales.

 

Since 2007, Gartner has been predicting key strategic technology trends for the coming years – not an easy task considering the rapid change in the IT market. According to a classification made by Gartner, Artificial Intelligence, Big Data, Cloud Computing, sensors, connected objects, smart machines and modern 3D printing are the key trends of the years 2016-2020. Automation and artificial intelligence figure prominently in the top 10 technology trends of the future presented by Gartner at its conference Symposium / ITxpo 2015.

 

Multiple devices, mobile to electronic devices via the connected devices and sensors are the first big trend mentioned by the research company. More and more devices are becoming connected and “resulting in smarter homes, smarter cars, smarter everything. IoT is leading to a point where “no object will just be an object—it will all be wirelessly connected to something else.

 

 Gartner expects more interaction between these connected devices via different networks in the coming years and beyond (via 4G + 5G technologies). The user experience and virtual environments comes in second position. According to Gartner, this presents a big opportunity and competitive advantage to IT developers and enterprises. 3D printing are third in this ranking, which isn’t yet a mature market, but getting stronger. Thus, global shipments of 3D printers for businesses should show 64% of an average annual growth rate until 2019.

 

Information on the massive data processing era (Big Data), followed by advanced machine learning and deep learning are also on the top 10.

 

“The explosion of data sources and complexity of data classification makes traditional (manual) analysis almost impossible and unprofitable for organizations. With artificial intelligence, the chances of error are almost zero in addition to that greater precision and accuracy is achieved. Plus according to Gartner, in 2018, 20% of all business content and documents will be produced by machines.

 

Gartner have published results of a survey on the topic Big Data, artificial intelligence and the relationship between the two domains. Without further ado, here are the main results:

  • 69% of respondents says that artificial intelligence will improve with the massive use of data
  • 68% think that Big Data will be used very long term by public authorities and businesses
  • 67% believe that the Big Data presents long-term benefits for the health and well-being
  • Finally, 65% approves that they use avatars that are digital assistants who interact with the users in order to save the need of human resources.

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Artificial intelligence can provide unexpected business intelligence for organizations, enhance knowledge on their customers and improve customer interaction with the company, and in some case even replace entire departments as intelligent, learning machines perform tasks until now strictly reserved for humans. Not surprisingly, demand for solutions made possible by artificial intelligence is increasing in the private sector as well as in the public sector. “In every organization, IT experts should explore how to use intelligent agents and these autonomous connected objects to improve the activity” said David Cearley, vice -President and associated Gartner.

 

Source: Webbmedia Group – 2016 Tech Trends

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