Subscribe to our Newsletter | To Post On IoT Central, Click here


Data (191)

The Meltdown and Spectre microprocessor bugs not only compromise billions of desktops, laptops, servers, clouds, tablets and smartphones, they also put tens of billions more embedded, IoT, and control systems at risk.

Read more…

The Human touch of IoT´s CEOs

A few days before Christmas holidays, I received an email from a customer that said “... I want to tell you that I have really appreciated your help, your professional approach and your “human touch”: they are as important as knowledge is …”.

Moved by the Christmas spirit that surround us these days, made me change my priorities of publishing the next articles and I decided to dedicate a few lines to what I consider a very important issue: What is the human touch value of the CEOs in the IoT?

I do not intend to convert this article into an analysis of the types of CEOs, or a list of the best CEOs of IoT companies (for that there will be time). 

My objective today is in making IoT´s CEOs aware, especially those of large multinationals, of their responsibility to print a human touch on their actions and decisions. Not only will the stability and quality of work of millions of people depend on them, but also the conservation of our planet in favourable conditions for future generations.

The Human touch of IoT´s CEOs to save the World

Global Warming is very real.  Even if greenhouse gas concentrations stabilized today, the planet would continue to warm by about 0.6°C over the next century because of greenhouses gases already in the atmosphere. Its effects are already so visible that no one doubts its catastrophic consequences.

We know that the IoT can help in many ways to monitor and control Global Warning, and there are many great stories of how companies are making use of IoT technology to help save water, money … and the planet. 

In  the article “3 ways businesses can use the internet of things to save the environment“, Jayraj Nair - Global Head of IoT, Vice President Wipro-, suggest  a few steps that business leaders could take to lessen the effects of these barriers and set their companies on the right path to become champions of a more sustainable and connected future.

1.       Emphasize digital citizenship and individual responsibility

2.       Share knowledge and resources across departments

3.       Collaborate to create guidelines for tech development

We should reward those IoT´s CEOs who follow the slogan “ We develop the IoT that Save the World!..

The Human touch of IoT´s CEOs to build ethic AI

When I wrote  “Internet of Things – Kings and Servants” I gave great importance to the CEOs visionaries of the companies that were destined to change the world of the 21st century. CEOs like Sundar Pichai (Google) or Satya Nadella (Microsoft) have been responsible from conceptual shift for their companies, moving from “mobile strategy” to “cloud and artificial intelligence”.

Could we avoid psychopath and sociopath robots? CEOs of the Tech Giants companies need to influence in developers of AI the human touch. We do not want to live with fear surrounding by not ethic AI machines and robots. 

IoT´s CEOs involved in Artificial Intelligence must believe that machines and robots will help us to be better people. They need to boost the challenge in our future society and make sure that their Robots and Artificial Intelligence not only pursue productivity and profit but also other values eg justice, opportunity, freedom, compassion.

The Human touch of IoT´s CEOs to ensure democracy

We cannot conceive democracy today without the free use of technology. Technology, on the other hand, that is more difficult to control by citizens. Is it possible to democratize the technology, not only the Internet of Things? Could we avoid that a handful of companies come to dominate the Technology? and therefore our Democracies.

The temptation of the power is great in the IoT´s CEOs of the companies that manipulate huge amount of data of the people, of the intelligent devices at their whim.

I thought at some point that the Countries could prevent the creation of these monsters, but their powers already transcend the States. I fear that the fight of egos, in the heights in which these CEOs live, give priority to the Highlander philosophy "Only one can be left!" And drag the dormant democracies for their technology into the vacuum of complacency.

Today more than ever, we need CEOs with a human touch that ensures the health of our democracies.

The Human touch of IoT´s CEOs to ensure equality of job opportunities

Which IoT companies have a culture that allow dissent between the CEOs and the employees? IoT´s CEOs need to understand that people are not going to do what they want them to do unless I engender equal commitment and passion on their part.

I have worked for many years in different technology companies, and I have regrettably proved that their business cultures, far from differentiating themselves, are more and more similar.

We all know cases of companies, including those of IoT, that abuse salaries of interns or inexperienced employees, but the problem of overqualification when applying to a new job is no less true. Many of us have heard numerous times: Sorry, you are overqualified. Not sure I can manage you.

I am convinced that a human touch on the part of the CEOs would help to correct these endemic problems of the current business culture. What are you waiting for?

The Human touch of CEOs to ensure a dignified life for the elderly

I was wondering a few years ago with the Smart Cities hype, How will be our life as retired workers in the Smart Cities we are building?.

In light of what I'm seeing, there are currently not many IoT´s CEOs that are worrying about the elderly. Of course, because, they consume less, they produce less, they do not understand the technology created for millennials or the digital native, the generations that is going to change the world.

Considering that all IoT´s CEOs, or at least that's what I want, will also be older people, a human touch in the investment of technology for the elderly will now make their lives more dignified in a few years.

Summary

In a time where digital premium on the physical, where business results are required not every quarter, but every day, in a time of robots, cryptocurrencies, virtual reality it is not easy to be a CEO with human touch. But to save the World, to make sure we build ethical AI, to ensure democracy in the technology, to ensure equality of job opportunities, to ensure a dignified life for the elderly, we need their human touch.

 

Thanks for your Likes, Comments and Shares

Read more…

With Internet of Things (IoT) progressively taking its strong hold in the industrial sector, let us find out how companies are making the most of it.  

Back in 2014, a report issued by the top management consultant company, Accenture predicted that by 2020 investment in the Industrial IoT would reach around $500 billion.  A combination of powerful data processing, cheap sensors, and machine learning has allowed the companies the leverage the Internet of Things (IoT) in industrial sector to make their industrial processes more efficient and significantly smarter than ever. 

Nowhere is IoT leveraged more so than in the rail industry, which is one of the most lucrative and profit-driven industries all over the world.  Previously rail operators would only be able to fix any problem that had visibly broken, however with the advent of IoT in industrial sector, the province of predictive maintenance has enabled operators to identify and fix any issue before services need to be stopped for the time being.  Today, it is increasingly common for all the other industries allowing companies to monitor and analyze data generated from the IoT devices, and if any changes found in data, companies can accurately predict future performance issues.  

Smarter Transportation 

It comes as no surprise that capturing, monitoring and analyzing of big data can provide industrial companies with a host of advantages. You might know that French rail provider SNCF is the biggest company that is trying to leverage big data in industrial IoT. They have started working on several projects that aim to capitalize on big data to achieve a number of things, including:  

• Predict maintenance requirements more accurately

• Integrate data from across the organization

• Improving visibility of asset health

• Reduce instances of unscheduled maintenance 

Smart Maintenance  

Smart maintenance has already shown itself in various early case studies on how to use data to make management of networks more efficient and smarter. For example, a Finnish company Sharper Shape has been using drones to map utility networks. They are leveraging big data, IoT and machine learning to identify those trees that are at high risk of falling onto the power lines. In an interview, the CEO of Finnish company Sharper Shape, Tero Heinonen said that using drones instead of humans to identify the trees that are at high risk of falling onto the power lines can cut costs by up to 30%. Moreover, drones can perform this task faster than humans.  

With the kind of predictive maintenance and monitoring programs discussed in this blog post, we can say that network faults will become a thing of the past. Don’t you think so? However, if you also want to be a part industrial IoT, learn IoT Training and Analytics online from a reputed institute. 

With Internet of Things (IoT) progressively taking its strong hold in the industrial sector, let us find out how companies are making the most of it.  

 

Back in 2014, a report issued by the top management consultant company, Accenture predicted that by 2020 investment in the Industrial IoT would reach around $500 billion.  A combination of powerful data processing, cheap sensors, and machine learning has allowed the companies the leverage the Internet of Things (IoT) in industrial sector to make their industrial processes more efficient and significantly smarter than ever.

Nowhere is IoT leveraged more so than in the rail industry, which is one of the most lucrative and profit-driven industries all over the world.  Previously rail operators would only be able to fix any problem that had visibly broken, however with the advent of IoT in industrial sector, the province of predictive maintenance has enabled operators to identify and fix any issue before services need to be stopped for the time being.  Today, it is increasingly common for all the other industries allowing companies to monitor and analyze data generated from the IoT devices, and if any changes found in data, companies can accurately predict future performance issues.  

Smarter Transportation

It comes as no surprise that capturing, monitoring and analyzing of big data can provide industrial companies with a host of advantages. You might know that French rail provider SNCF is the biggest company that is trying to leverage big data in industrial IoT. They have started working on several projects that aim to capitalize on big data to achieve a number of things, including:  

·         Predict maintenance requirements more accurately

·         Integrate data from across the organization

·         Improving visibility of asset health

·         Reduce instances of unscheduled maintenance

Smart Maintenance  

 

Smart maintenance has already shown itself in various early case studies on how to use data to make management of networks more efficient and smarter. For example, a Finnish company Sharper Shape has been using drones to map utility networks. They are leveraging big data, IoT and machine learning to identify those trees that are at high risk of falling onto the power lines. In an interview, the CEO of Finnish company Sharper Shape, Tero Heinonen said that using drones instead of humans to identify the trees that are at high risk of falling onto the power lines can cut costs by up to 30%. Moreover, drones can perform this task faster than humans.  

 

With the kind of predictive maintenance and monitoring programs discussed in this blog post, we can say that network faults will become a thing of the past. Don’t you think so? However, if you also want to be a part industrial IoT, learn IoT Training and Analytics online from a reputed institute. 

Bottom of Form

Read more…
Businesses are getting ready for this year’s Black Friday and Christmas shopping season. Leading retailers attempt to predict the hottest trends, define reasonable prices and foresee a time-slot an average consumer will spend on a particular product. With big data analytics and powerful machine learning tools, their predictions will be the most accurate.

The term “big data” has become a buzzword for sales teams across nearly every industry over the past few years. Companies have collected vast amounts of data from leads and transactions which no single person would ever be able to process. According to an MIT Sloan Management Review survey of companies earning 500M+ in sales, at least 40% of companies are using machine learning tools to increase performance. From providing insights on leads to recommending current customers new products, machine learning can revolutionize the sales industry in several ways.

1. Added Customer Support

According to Salesforce’s Adam Lawson, customer experience is the most important variable separating successful and unsuccessful sales teams. ML will allow for significant improvements to customer experience — with the ability to proactively follow up with leads, customize the user’s experience and answer questions via chat (called chatbots), every customer will have an experience tailored to their preferences and needs.

2. Improved Forecasting

Within the last few year, advanced lead scoring has become an extremely popular tool for sales teams. Lead scoring, which uses ML, looks at collected data on prospects, such as their budget, size, past sales, and interaction with marketing emails then formulates a score which will project interest and the likelihood of a sale. This process reduces the number of dead leads and focuses a sales team on converting strong leads to clients.

3. Personalized Suggestions

In the retail industry, you may have noticed the text “other customers purchased” or “you may also be interested in,” followed by a list of similar or complementary products. These suggestions are thanks to ML, which allows supporting a consumer-centric approach, through the analysis of sales patterns, purchase histories, and data consumption. Companies like Amazon, Spotify, and Netflix are already employing this solution to suggest additional content for customers. As this technology becomes more readily available, smaller retailers and SaaS companies will begin to follow suit.

In the sales industry, ML can streamline the entire consumer relationship from the first point of contact to customer support. As machine learning continues to improve both sales teams’ and customers’ experiences, its influence over the sales industry will only increase over the next few years.

Want to keep your sales high even after the holiday buying boom is over? Contact us at ELEKS. We’ll make sure your team is equipped with the machine learning tools your company needs to get ahead.

Originally published at eleks.com on November 9, 2017.

Read more…

Amid today’s digital era, many travel companies are still living in the “analog” world of developing relationships with customers. The “mass production-mass market” mindset that emerged out of industrial revolution has unfortunately survived through the advent and maturity of the World Wide Web.

Mass market mentality combined with lack of a data strategy heavily emphasizes products and services, putting the customer last. Most companies don’t go beyond mass communication with consumers, which results in one-way conversations.

Today’s customer is well-informed, leveraging social media to learn more about the product, seek recommendations/opinions, and provide product feedback. If companies have not leveraged data or digital capabilities to re-imagine the purchase path and inspire customers to buy their product or service, they are well behind the curve. PepsiCo is one company that has been successful in rethinking the role of the customer in a brand. LAY’S s “Do us a Flavor” campaign resulted in customers creating and voting for new flavors.

We are seeing a changing mindset in the travel and transportation industry. Uber and Airbnb are disrupting business models through customer-centric design, shared economy, and simplicity. To improve based on customer feedback, Airbnb's CEO used Twitter to ask users for product feedback.

Thanks to IoT, digital cloud technologies, and the declining cost of storage, data is collected from everywhere – internal systems, transactional systems, external (social media) sources, and devices.

However, in many cases we are seeing that data is not leveraged for better customization:

  • Data is not consolidated and lives in silos.
  • Only “structured” data is looked at.

Customers are to provide more personalization – offering the right product at the right time in the right situation. Customers expect the level of personalization provided by Netflix and Amazon in almost every only interaction, regardless of whether the company is in the retail, entertainment, or travel industry. When they experience features, such as a recommendation engine, they get to what they need faster and company revenues increase in turn.

If you notice one thing that’s common between an Uber, Airbnb, or Amazon for that matter, it is the platform. Platforms are becoming the core of the digital economy, and they enable enterprises to provide curated personalized experiences for their customers.

Every large enterprise is building a platform (Enterprise API) to encapsulate core business logic that can be served to upstream channels like mobile, websites, call center, and kiosks. These APIs get opened for external business consumption to build new business models and partnerships. Using Data Lake technology, these enterprises are able to build a data management platform that can aggregate, build, and enrich customer/consumer data. By applying big data technologies, machine learning, and advanced analytics, enterprises can build a 360-degree view of the customer.

This results in a customer-centric strategy. Customers expect to be put first and are demanding from travel companies. If they perceive that their airline or hotel chain of choice is behind the curve in personalization, they just might take their loyalty elsewhere. The cost of acquiring a new customer is at least four times more than keeping an existing customer. This, combined with the increase in revenue from up-selling and cross-selling that personalization provides, should put technology initiatives that increase personalization at the top of the list for any travel company.

Read more…

2018 Analyst IIoT Predictions

Each year we like to go inside FreeWave and ask our team what the Industrial IoT forecast looks like for the upcoming year. Throughout 2017 we were hard at work developing some of our industry-leading Edge intelligence and industrial Wi-Fi products, so this year, instead of looking inward, we decided to take a peek around the world at 2018 IIoT predictions from some of the leading experts.

Network World

Based off a Forrester report, three immediate trends spring to the forefront: specialization, security, and Edge infrastructure. Taking a bird’s eye view, as the market proliferates, many Industrial IoT providers will no longer need to be a one-size-fits-all solution, instead being able to double down on proprietary technology that has a highly specific and specialized purpose. Edge Infrastructure, already one of the hottest sectors of IoT, will possibly determine the future of big data and predictive analytics, in turn driving machine learning and beyond. And then, of course, there is the security element.

As the domains of Operational Technology (OT) and Information Technology (IT) converge, the traditionally more vulnerable standards and practices of OT will take on more of an IT flavor, incorporating more hardened cybersecurity elements as IT managers (with security ALWAYS on their minds) take on more prominent roles in industrial operations and implement the next generation of IoT-ready devices and systems.

IDC

In early November, IDC put together a list of 10 predictions for IIoT covering myriad facets of the industry, including:

  • As much as a 25 percent increase in security spending
  • 10 percent growth in IoT sensors on Blockchain distributed ledgers
  • In three years more than $1 trillion of enterprise IoT project investments will be built on net new technology spending

These are interesting predictions and fall in line with the general trend of the industry over the last five years. But there was one prediction that caught our eye:

  • “By 2020, IT spend on Edge Infrastructure will reach up to 18 percent of the total spend on IoT Infrastructure, driven by deployments of converged IT/OT systems that reduce the time to value of data collected from their connected devices.”

Essentially, IDC is predicting that in two years Edge intelligence will use nearly 20 percent of the industry’s total IoT spend. This Edge intelligence will be driven by IT/OT convergence that enables faster data transmission via Fog Computing, enabling predictive analytics and real-time data monitoring. This is a significant note, as many companies are focused almost exclusively on figuring out how to transmit data from the Edge in usable packets.

Maciej Kranz, vice president of strategic innovation at Cisco

Kranz wrote the book on IoT (literally, check it out: Building the Internet of Things), and he tends to view it from more of a business standpoint. However, as more companies attempt to jump into the IoT fray, taking a strong – and long – business perspective could be the difference between success and failure.

In his ten predictions, Kranz finds similar footing with many analysts and thought leaders (paraphrasing):

  • IoT will become the key security domain as organizations ‘finally begin to take IoT security seriously.’
  • IoT will revolutionize data analytics as technology shifts to dynamic or real-time analytics and streaming data using AI and machine learning
  • The focus of IoT will move from driving efficiency to creating new business value as companies use IoT to create new value propositions: in manufacturing mass customization, and more mass personalization.

To us, however, the most interesting prediction offered up by Kranz has to do with standardization:

  • “We will see an industry-wide, accelerated move to open standards, open architectures and interoperability.”

At FreeWave, we have been huge proponents of opening up architectures to make the creation of IIoT software applications easier and more accessible to critical industries. Currently, many IIoT software needs require sophisticated and complex development chops. But, with the rise of NODE Red – and with the growth of language agnostic hardware – development and interoperability opportunities are opening up for everyone.

2018 could be a watershed year for the Industrial IoT. We highlighted three analyst and thought leader predictions here, but many carried the same tenor: security, analytics and proliferation will drive the growth of the industry over the next few years.

We’d love to hear from the community as well: what predictions do you have for IIoT in 2018?

Read more…

By capturing real time inventory data from vending machines, smart shelves and other instrumented sources of retail data, you learn customer preferences which let you quickly manipulate product mix to increase sales.

Read more…

Can the Public Internet Secure Our Digital Assets?

There is a lot of talk, and, indeed, hype, these days about the internet of things. But what is often overlooked is that the internet of things is also an internet of shared services and shared data. What’s more, we are becoming too heavily reliant on public internet connectivity to underpin innovative new services.

Take this as an example. Back in April, Ford Motor Company, Starbucks and Amazon announced and demonstrated an alliance that would allow a consumer to use Alexa to order and pay for their usual coffee selection from their car. Simply saying, “Alexa: ask Starbucks to start my order,” would trigger the sequence of events required to enable you to drive to the pickup point and collect your already-paid-for coffee with no waiting in line.

Making that transaction happen behind the scenes involves a complex integration of the business processes of all the companies involved. Let’s be clear: this is about data protection. For this series of transactions to be successfully handled, they must be able to share customer payment data, manage identity and authentication, and match personal accounts to customer profiles.

Because all of that critical data can be manipulated, changed or stolen, cyberattacks pose significant data protection risks for nearly any entity anywhere. The ambition of some of these consumer innovations makes an assumption that the “secure” network underpinning this ecosystem for the transfer of all that valuable personal data is the public internet. And that’s the point – it’s not secure.

As we’ve talked about previously on Syniverse's blog Synergy, the public internet poses a systemic risk to businesses and to confidential data. In short, when we are dealing on a large scale with highly sensitive data, the level of protection available today for data that, at any point, touches the public internet is substantially inadequate.

And this alliance between Ford and Starbucks is just one example of the type of innovation, across many different industry and consumer sectors, that we can expect to see a lot of in the very near future. These services will connect organizations that are sharing data and information about businesses and about consumers – about their purchase history, their preferences and requirements, and also about their likely future needs. This is potentially a very convenient and desired service from a consumer’s point of view, but at what cost?

We need security of connectivity, security from outside interference and the security of encrypted transfer and protection for our personal and financial data. And we need to be able to verify the protection of that data at all times by ensuring attribution and identity – both concepts we’ll explore more deeply in an upcoming blog post. And that’s a level of security that the public internet simply cannot provide.

Last month, an internet-based global ransomware attack took down systems and services all over the world – affecting sensitive personal healthcare data in the U.K. in particular.

Whether it is personal health records, financial records, data about the movement of freight in a supply chain, or variations in energy production and consumption, these are digital assets. Businesses, institutions and government bodies all over the world have billions of digital assets that must be constantly sent to and from different parties. And those assets require the type of high-level data protection that is not currently possible because of the systemic risk posed by the insecure public internet.

As mentioned in my last blog post on Synergy, there is an alternative. Some companies using private IP networks were able to carry on regardless throughout the high-profile cyberattacks that have been capturing headlines in the last year. That’s because those companies were not reliant on the public internet. Instead, they were all using what we are beginning to term “Triple-A” networks on which you can specify the speed and capacity of your Access to the network while guaranteeing the Availability of your connection. What’s more, on a Triple-A network, Attribution is securely controlled, so you know who and what is accessing your network and the level of authority granted both to the device accessing the network and to its user.

The public internet cannot provide or compete with a Triple-A level of security, and nor should we expect it to. It cannot live up to the stringent data protection requirements necessary for today’s critical digital assets. We cannot remain content that so much infrastructure, from banking, to transport and to power supplies, relies on a network with so many known vulnerabilities. And we must consider whether we want to carry on developing an industrial internet of things and consumer services on a public network.

We will continue to explore these issues on this blog, to highlight different approaches, and examine the requirements of the secure networks of the future. And in the process, we’ll take a look at the work being done to build more networks with a Triple-A approach.

Read more…

How Can You Cope With The Rise Of Dark Data

At this point, everyone has heard about what big data analytics can do for marketing, research, and internal productivity. However, the data only about 20% of all data created is collected and analyzed. The other 80% is known as dark data, or data that collected but not analyzed or made to be searchable. So, what is the purpose of this data, and why is it taking up terabytes worth of storage space on servers around the world?

Examples of Dark Data

  • Media: Audio, video and image files oftentimes will not be indexed, making them difficult to gain insights from. Contents of these media files, such as the people in the recording or dialogue within a video, will remain locked within the file itself.

  • Social Data: Social media analytics have improved drastically over the last few years. However, data can only be gathered from a user’s point of entry to their exit point. If a potential customer follows a link on Facebook, then send the visited website to five friends in a group chat, the firm will not realize their advertisement had 6 touchpoints, not just the one.

  • Search Histories: For many companies, especially in the financial service, healthcare, and energy industries, regulations are a constant concern. As legal compliance standards change, firms worry that they will end up deleting something valuable.

As analytics and automation improve, more dark data is beginning to be dragged out into the light. AI, for example, is getting far better at speech recognition. This allows media files to be automatically tagged with metadata and audio files to be transcribed in real time. Social data is also starting to be tracked with far better accuracy. In doing so, companies will be able to better understand their customers, their interests, and their buying habits. This will allow marketers to create limited, targeted ads based on a customers location that bring in more revenue while reducing cost.

The explosion of data we are currently seeing is only the tip of the big data iceberg. As IoT and wearable devices continue their integration into our daily lives, the amount of data we produce will only grow. Companies are looking to get ahead of the curve and ensure they can gain as much insight from this data as possible. If these firms do not have a plan to create actionable insights from this currently dark data, they ultimately could fall behind and lose out to competitors with a bigger focus on analytics.

The original story was published on ELEKS Trends Blog, visit to get more insights. 

Read more…

An Open and Dangerous Place

Let’s just say it: The public internet is great, but it’s an unfit, wide-open place to try to conduct confidential business.

More and more, the public nature of the internet is causing business and government leaders to lose sleep. The global ransomware attacks this year that crippled infrastructure and businesses across Europe clearly shows the concern is not only justified but also growing.

As a result, internet and privacy regulations, like GDPR and PSD2, are front and center as governments around the world increasingly look at the web and how it’s being used. This is creating competing and contradictory objectives.

On the one hand, governments want to protect consumer privacy and data; on the other, they want to be able to monitor what certain folks are up to on the internet. And in both cases, they can at least claim to be looking to protect people.

Regardless of the difficulty of the task, there is no doubt the big governments are circling and considering their options.

Speaking in Mexico in June, Germany Chancellor Angela Merkel touted the need for global digital rules, like those that exist for financial markets, and that those rules need to be enforceable through bodies like the World Trade Organization.

From a business perspective, I can applaud the ambition, but it does seem a little like trying to control the uncontrollable. The truth is that the public internet has come to resemble the old Wild West. It is an increasingly dangerous place to do business, with more than its fair share of rustlers, hustlers, and bandits to keep at bay.

The public internet connects the world and nearly all its citizens. When it comes to connecting businesses, national infrastructures, and governments themselves, trying to regulate the Wild West of the public internet simply isn’t an option. Instead, it’s time to take a step back and look for something different.

We believe organizations that want to conduct business, transfer data, monitor equipment and control operations globally – with certainty, security and privacy – should not be relying on the public internet. The sheer number of access points and endpoints creates an attack surface that is simply too wide to protect, especially with the increased trending of fog and edge networks that we’ve discussed on previous Syniverse blog posts.

Just last week, the online gaming store CEX was hacked. In an instant, around two million customers found their personal information and financial data had been exposed. Consumers in America, the U.K. and Australia are among those affected. As I said, the public internet presents an ever-widening attack surface.

Recently on the Syniverse blog, we’ve been talking about the need to develop private, closed networks where businesses, national utilities and governments can truly control not just access, but activity. Networks that are always on and ones where the owners always know who is on them and what they are doing. Networks that are private and built for an exact purpose, not public and adaptable.

Trying to apply or bolt on rules, regulations and security processes after the fact is never the best approach.  Especially if you are trying to apply them to a service that is omnipresent and open to anybody 24/7.

When we look at the public internet, we see fake actors, state actors, hackers and fraudsters roaming relatively freely. We see an environment where the efforts to police that state might raise as many issues as they solve.

Instead, it’s time for global businesses to build a new world. It’s time to leave the old Wild West and settle somewhere safer. It’s time to circle the wagons around a network built for purpose. That is the future.

Read more…
Digital transformation is no longer a buzzword. No industry is left behind. 
We’re currently in a new wave of  digital transformation with new technologies, processes, business models and opportunities popping up in the market faster than we can blink & think.
All the companies are using  big datamachine learningcloud, smart devices and  Internet of Things to achieve digital. But these are just means or vehicle to achieve it whereas you need a human to drive it.
It is easy to get wrapped by technology but without considering human element the transformation process will fail.
CEOs are taking a digital-first approach to change the  culture of organizations. This shift starts at the top and requires complete employee buy-in to achieve success.
Digital transformation can’t thrive unless your organization has a culture that’s willing and able to embrace it. Organization-wide adoption requires teams to change their attitude, automate the processes, shift their thinking and reject the status quo.
People are engaged by people. Productive and satisfied employees who like their work, go out of the way to satisfy customers. 
How to get this human element on your side in Digital Transformation?
·        Know your customers – customers are not just records but they are also humans, know their  behaviors, their motivations, what they like, dislike and their desires
·        Engage with employees – elaborate on what is in it for me, people need to know what is the change and how it will benefit them
·        Focus on human collaboration, learning, and innovation for digital which yields better ideas, better results
Digitization is by no means de-humanization. It is 20% technology but 80% human touch. Without a strong involvement and without taking the human element into account on all levels, digital projects are going to fail.

The best results will occur when technology and humans collaborate to create an entire ecosystem, which technology alone cannot achieve.

Read more…

The other day we were discussing and debating on a solution to be designed to meet the sensing needs for access, temperature and humidity for some devices with form part of a networking infrastructure ecosystem. The idea was to build a IoT based system for monitoring and control.

The design discussions veered around the ability to collect data from the sensors and the types of short range communication protocols which could be deployed .Questions and clarification were raised if we were compliant to use short range communication protocols in sensitive areas as customer Data Centres which are like owned and  that they may be custodians of data of their end customers .

The hidden perils of data acquisition and data ownership reared its head which needed to be addressed as we moved forward .

The data which is acquired by sensors is essentially Machine Generated Data (MGD) .This post will  dwell on the subject of data ownership of MGD as follows :

  1. Sensors ( Data Acquisition and Communication )
  2. Machine Generated Data
  3. The Lifecycle of the MGD and the Ownership Paradigm
  4. Who should be the owner of the MGD?
  5. Sensors (Data Acquisition and Communication):

In the IoT ecosystem, the physical computing frontier is managed by the Sensors .Sensors essentially include three fundamental functions:

  • The act of sensing and acquiring the data
  • Communication of the data through appropriate protocols to communicate their readings to internet cloud services for further aggregation and trend analysis
  • The activity is energised by power supply,

The additional functions would include processing/system management and user interface

The Digital Computing part comprises the IoT application. This   is determined by the types of sensors, cloud connectivity, power sources, and (optionally) user interface used in an IoT sensor device. The following diagram showcases the primacy of sensors in a typical IoT Ecosystem.

When making physical measurements such as temperature, strain, or pressure, we need a sensor to convert the physical properties into an electrical signal, usually voltage. Then, the signal must be converted to the proper amplitude and filtered for noise before being digitized, displayed, stored, or used to make a decision. Data-acquisition systems use ADCs (analog-to-digital converters) to digitize the signals with adequate signal conditioning.

Sensor data communication to the cloud can be done in multiple ways from wireline to wireless communication of various complexities. While wire line communication has some important benefits (such as reliability, privacy, and power delivery over the same wires), wireless communication is the technology that is the key catalyst in the majority of IoT applications that were not previously practical with wired systems. Reliability, channel security, long range, low power consumption, ease of use, and low cost are now reaching new levels, previously thought infeasible

Some examples of recently popular IoT wireless communication types: Wi-Fi, Bluetooth Low Energy (aka Smart), Zigbee (and other mesh 802.15.4 variants), cellular, LPWA (Low-Power, Wide-Area network variants: Ingenu, LoRaWAN, Sigfox, NB-LTE, Weightless), and Iridium satellite.

  1. Machine Generated Data (MGD)  :

Sensor data is the integral component of the increasing reality of the Internet of Things (IoT) environment. With IpV6 , anything can be outfitted with a unique ip address with  the capacity to transfer data over a network. Sensor data  is essentially Machine Generated Data . MGD is that is produced entirely by devices / machines though an event or observation.

Here we would define human-generated data, what is recorded is the direct result of human choices. Examples are buying on the web, making an inquiry, filling in a form , making payments with corresponding updates on database. We would not consider the ownership of this data in the post and would be limiting our post to MGD.

  1. The journey of the MCD and the Ownership Paradigm:

The different phases exist in the typical  journey of Machine Generated Data .

Capture and Acquisition of Data– This is a machine or a device based function through signal reception.

Processing and Synthesis of the Data – This is a function which ensures enrichment and integration of Data

Publication of the Data – This is done by expert systems and analysts who work on exception management , triggers and trends .

Usage of Data – The action which need to be taken on the processed and reported information is used by the end user .

Archival and Purging of Data – This function is essentially done by the data maintenance team with supervision.

Now let us dwell on the Ownership Paradigms .They range from the origination of data , adding value to the data through make over , monetising of data through insights generated. Interestingly, let us explore if there is any conclusive method for determining how ownership should be assigned. A number of players may be involved in the journey of the data (e.g. the user, hardware manufacturer, application developer, provider of database architecture and the purchaser of data, each having an equal lay of the claim in different stages of this journey )

  1. Who should be the owner of MGD :

Let me share the multiple and conflicting views  :

  1. The owner of the device which records Data .In essence, the owner of machine-generated data(MGD), is the entity who holds title to the device that recordw the data. In other words, the entity that owns the IoT device also owns the data produced by that device.

But there could be a  lack of clarity if the device is leased rather than owned.. When real-world constructs such as lease holdings of (say servers) come into play, it indeed gets complex and even murky.

  1. Who should be the owner of MGD :

Let me share the multiple and conflicting views  :

The owner of the device which records Data .In essence, the owner of machine-generated data(MGD), is the entity who holds title to the device that recordw the data. In other words, the entity that owns the IoT device also owns the data produced by that device.

But there could be a  lack of clarity if the device is leased rather than owned.. When real-world constructs such as lease holdings of (say servers) come into play, it indeed gets complex and even murky.

The owner is the user of the Data :The other dimension is data may be owned by one party and controlled by another. Possession of data does not necessarily equate to title. Through possession there is control. Title is ownership. Referred to as usage rights, each time data sets are copied, recopied and transmitted, control of the data follows it. There could be cases where the owner of the device could be the user of the data.

 The maker of the Database who essentially invests in aggregating, processing and making the data usable is the owner of the Data :This has a number of buyers of this paradigm . The owner of a smart thermostat does not, for example, own the data about how he uses it. The only thing that is ‘ownable’ is an aggregation or collection of such data provided there has been a relevant investment in carrying out that aggregation or collection (the individual user is very unlikely to have made that investment). The owner here could be the Home automation company . The value which could be generated though this investment could be producing market intelligence , exploiting the insights form data to build market presence and differentiation ,

The purchaser of Data could be the owner of the Data: An auto insurance company could buy the  vehicle generated data ( from the makers of automobiles )  and could design a product for  targeted offerings to specific market segments based on say driving behaviour patterns  and  demographics  .This may not be as easy as this seems – refer the url  :  http://joebarkai.com/who-owns-car-data/ which states that the owner of the vehicle and not the maker of the car owns the data collected from the electronic data recorder .

The value chain of who owns the data can be a complex one with multiple claimants . As one aggregates more sources it just gets more complicated. A good example is in the making of smart cities. The sources of data can be from multiple layers and operational areas . City authorities would be making the effort to make use of the data in areas of waste management , traffic congestion , air pollution etc . So does the city authority own the data?

My personal take is , if someone in the MGD value chain  is making the data usable for  a larger good , and  in the process may monetize the data to cover the investments , that entity deserves to  be the owner of the data  as that is where value is generated .


Posted on August 14, 2017

Read more…

Why Data Visualization Matters Now?

Data Visualization is not new, it has been around in various forms for more than thousands of years. 
Ancient Egyptians used symbolic paintings, drawn on walls & pottery, to tell timeless stories of their culture for generations to come.
Human brain understands the information via pictures more easily than writing sentences, essays, spreadsheets etc. You must have seen traffic symbols while driving…why do they have only 1 picture instead of writing a whole sentence like school ahead, deer crossing or narrow bridge? Because you as driver can grasp the image faster while keeping your eyes on the road.
Over last 25 years technology has given us popular methods like line, bar, and pie charts showing company progress in different forms, which still dominate the boardrooms.
Data visualization has become a fundamental discipline as it enables more and more businesses and decision makers to see  big data and  analytics presented visually. It helps identify the exact area that needs attention or improvement than leaving it to the leaders to interpret as they want.
Until recently making sense of all of that raw data was too daunting for most, but recent computing developments have created new tools like Tableau, Qlik with striking visual techniques, especially for use online, including the use of animations.
There is a wealth of information hiding in the data in your database that is just waiting to be discovered. Even historical complicated data collected from disparate sources start to make sense when shown pictorially.  Data Scientists do a fantastic job of analyzing this data using  machine learning, finding relationship but communicating the story to others is the last milestone.
In today's  Digital age, we as consumers generate tons of data every day and businesses want to use that for  hyper-personalization, sending right offers to us by collecting, storing & analyzing this data. Data Visualization is the necessary ingredient to bring power of this big data to mainstream.
It is hard to tell how the data behaves in the data table. Only when we apply visualization via graphs or charts, we get a clear picture how the data behaves. 
Data visualization allows us to quickly interpret the data and adjust different variables to see their effect and technology is increasingly making it easier for us to do so. 
The best data visualizations are ones that expose something new about the underlying patterns and relationships contained within the data. Data Visualization brings multiple advantages such as showing the big picture quickly with simplicity for further action.
Finally as they say “A picture is worth a thousand words” and it is much important when you are trying to show the relationships within the data.
Data is the new oil, but it is crude, and cannot really be used unless it is refined with visualization to bring the new gold nuggets
Read more…

Go Digital or Die - What will you chose?

Just before 2007, we didn't have access to smartphones like iPhone or social media apps like Instagram, Whatsapp and even email was much more limited only to desktops. 
Zoom in to Today -  Digital Transformation has revolutionized everything we do. It has been one of the hottest topics for every business. It’s a subject which keeps the CEOs awake. 
Today it is Digital or Die.
Digital is happening fast and forcefully, whether businesses are ready for it or not. You can’t hide from it. There is a possibility that five of out ten businesses like Blockbuster, Kodak and Borders that will become  digital dinosaur because of their lack of ability to adapt.
Going digital is not about moving to a specific technology like  Cloud or  Big DataAnalytics but it is really about  accommodating a change of how technology enables business. Billions of people across the world are attached to a global high-speed, real-time Internet. 
There are over 7+ billion mobile connections worldwide. In couple of years, Millennials will make up half of the working population. They expect highly personalized products and services, they want instant-gratification and they are omni-channel, online anytime, anyplace and any device. Using  Mobile firstas your strategy to go digital is no-brainer.
As technology becomes an increasing part of our everyday lives, it also becomes a vital part of business strategy to become more efficient in customer service and disrupt the market with exemplary  customer experience.
Business models are changing, from products to services and have to have a sharp focus of extraordinary customer experience with digital, like Apple. To transform to digital, companies must place customer experience at the center of digital strategy.
Customers really want access to support via digital channels without the intervention of customer reps, unless they don’t find what they are looking for at the first point of contact or something goes wrong with the product which needs to be fixed quickly.
Burberry was one of the first players to turn their fashion shows into digital happenings. The company used the buzz around the events to lure its customer base, interact with and strengthen relationships with customers, and attract new ones.
Nike had moved on from a sports apparel company to fitness driven personalized  wearables like FuelBand manufacturer.
Apple, Disney, Nordstrom and Nestle are just a handful of the household names that have mastered digital.
It’s a never-ending program of improvement. As important as the technologies and channels, are the employee training and mastering the skill set that empowers them to thrive in this more integrated and ‘digital first’ environment. 
Working from home is adopted by many organizations and moving to cloud based systems enables your employees to do that more effectively. They can access all relevant work content and more. 
Digital should not be bolt-on to home grown age old systems but must be central theme for every touch point to customer and internal processes.
Every company is a technology company today. The pace of digital is rising exponentially, making it very difficult to be the leaders in market. Your thereat is not your traditional competitor but someone who comes up with innovative ideas to steal your  customers.
As Charles Darvin once said - It is not the strongest of the species that survives, nor the most intelligent that survives, it is the one that is the most adaptable to change

It is Digital or Die. You are an easy prey if you don’t change.

Read more…
The digital revolution has created significant opportunities and threats for every industry. Companies that cannot or do not make significant changes faster to their business model in response to a disruption are unlikely to  survive
It is extremely important to do digital maturity assessment before embarking on  digital transformation.
Digital leaders must respond to the clear and present threat of digital disruption by transforming their businesses. They must embed digital capabilities into the very heart of their business, making digital a core competency, not a bolt-on. Creating lasting transformative digital capabilities requires you to build a  customer-centric culture within your organization.
This requires new capabilities that organizations need to acquire and develop which include disruptive technologies like  Big Data, AnalyticsInternet of Things, newer business models.
Digital maturity model measures readiness of the organization to attain higher value in digital  customer engagement, digital operations or digital services. It helps in incremental adoption of digital technologies and processes to drive competitive strategies, greater operationally agility and respond to rapidly changing market conditions.
Business can use the maturity model to define the roadmap, measuring progress on the milestones.
The levels of maturity can be defined as per multiple reports available and

adopt the ones which makes more sense to your business.

·     Level 1 : Project based solutions are developed for a particular problem, no integration to home grown systems, unaware of risks and opportunities
·     Level 2 : Departmentalized projects but still not known to organization, little integration
·     Level 3 : Solutions are shared between the departments for a common business problem, better integration
·     Level 4 : Organization wide efforts of digital, highly integrated, adaptive culture for  fail fast  and improve
·     Level 5 : Driven by CXOs, customer centric and complete transformation changes happen to organization
Here are the 7 categories on which business should ask questions to all the stakeholders to gauge the maturity of Digital Transformation and identify the improvement and priorities.
1.   Strategy & Roadmap - how the business operates or transforms to increase its competitive advantage through digital initiatives which are embedded within the overall business strategy
2.   Customer – Are you providing experience to customers on their preferred channels, online, offline, anytime on any device
3.   Technology – Relevant tools and technologies to make data available across all the systems
4.   Culture – Do you have the organization structure and culture to drive the digital top down
5.   Operations – Digitizing & automating the processes to enhance business efficiency and effectiveness.
6.   Partners – Are you utilizing right partners to augment your expertise
7.   Innovation – How employees are encouraged to bring the continuous innovation to how they serve the customers
Finally you know when you are digital transformed?
·             When there is nobody having “Digital” in their title
·             There is no marketing focused on digital within the organization
·             There is no separate digital strategy than company’s business strategy
Read more…
Augmented reality (AR) means amplified reality with graphics, sounds, haptic feedback and smell to the natural world as it exists. Virtual objects and information are displayed on top of the physical world, will make its way to our phones.
Just like the  Internet of Things &  Big dataAnalytics, augmented reality is going mainstream.Search engines are already expanding on image search, allowing you to point your camera at something and search for information based on what the lens takes in.
Both video games and cell phones are driving & exploiting the development of augmented reality. Everyone from tourists to someone looking for the closest McDonalds can now benefit from the ability to place computer-generated graphics in their field of vision.
Unlike  Virtual Reality, which creates a totally artificial environment like you are on the top of Eiffel tower or looking at Taj Mahal right now from your living room couch, augmented reality uses the existing environment and overlays new information on top of it.
Pokemon Go released in 2016 was the most successful game to use AR to superimpose Pokemon on physical background and all children and adults were mad chasing them in real world.
Recent innovation, Heads-Up Display (HUDs) glass with AR superimpose crystal-clear driving directions on top of the real world so you can easily navigate without taking your eyes off the road. It’s like Pokemon Go but all the adorable monsters have been replaced by driving directions.
Digital Marketing will get a boost with AR.  A new augmented reality campaign from Pepsi Max have stunned people in London, giving experiences like a prowling tiger, a meteor crashing, an alien tentacle grabbing people on the street, the bus stop window serves as a scarily realistic screen to bring these scenarios to life.
With AR, you can view your living room on a smartphone and see how virtual furniture would fit into the real world and decide what is good to buy.
Artificial Intelligence has brought virtual assistants like Siri, Alexa, Cortana, Google to life but AR can put a face to it and beef up the experience. Microsoft Hololens is currently leading the AR headset race. 
There are several industries that will benefit from AR applications, including healthcare, tourism and entertainment. However, it is  retailers who are the ones to use it more. With AR, your retail website is brought to life with a 360° online presentation of your store. In-store, augmented reality can easily display information and other visuals on packaged items with a simple image scan.
Lego’s “Digital Box” Provides Customers with an Interactive 3D Digital Experience. Aside from kiosks in stores, soon they will have mobile devices to be equipped with the capability to instantly bring up relevant information about any product in real-time.
Fashion retailer Forever 21 had put up a giant billboard which features a model walking in front of an image of the crowd below. The model occasionally leans over, and pluck someone out of the crowd. Sometimes, she drops them in her bag and happily walks off.
French cosmetic super chain Sephora is one of the leaders in AR marketing area. Their mobile apps & AR mirrors allow people to see how clothing, jewelry, and accessories look on them.
Augmented Reality cleverly blurs the line between the digital and the real by way of specially designed apps and unique visual ‘markers’ to intuitively visualise 3D virtual forms in physical realms.
We are still in the very early days of AR, and all of the future possibilities are difficult to imagine at this point. As this technology advances and gets more affordable, it will be easier for businesses to take advantage of it. AR helps to bridge the divide between the  digital and offline world.
Read more…

With its growing prevalence, the Internet of Things is ushering in a new form of ecommerce – the Commerce of Things, where everyday objects are internet connected and capable of initiating a series of purchases on their own. This new way of buying and selling online is radically changing traditional ecommerce rules and creating a new set of challenges for companies. In this new world of commerce, the product sale is no longer just a transaction; it’s the beginning of an ongoing relationship between brands and customers. Successful online brands are focused on nurturing this relationship – and taking deliberate steps to turn transactional customers into loyal members. 

There is a subtle but critical difference between a repeat customer and a member. Understanding this difference is the key to succeeding in an environment that is swiftly becoming a hyper-connected network of consumers who value the access and amenities that come with membership.

How do you build these relationships?

1.)   Create lasting relationships to make members out of customers. Members share the experience and the story of the brand, rather than just execute a basic business transaction or product purchase. For years, Disney, where everything is a show and employees are cast members, has stood by the adage “Be Our Guest,” calling to their customers in a more intimate, personable way. Cable companies refer to their customers as “subscribers;” LinkedIn has always called users “members.”

To move customers from “transaction to membership” on a relationship continuum, companies must provide extra, incremental value that replaces pure monetary benefits with more intangible rewards of being, in Disney’s case, a guest.

2.)   Use data and metrics to strengthen relationships. Once a company starts to grow its base of members, a whole new set of metrics becomes the benchmark for evaluating the customer relationship.

Asking one simple question, “What is a subscriber’s actual usage?” can yield revelations regarding whether someone is a transactional customer or an invested member. For example, January is the peak season for signing new members at fitness centers around the country. Are those who sign up then really members? If they are not actually getting personal value out of their membership, then the relationship remains transactional and fleeting at best.

Good data is powerful. If the data shows customers are not acting like members, then a company can follow up to discern the true nature of the relationship and figure out how it can become more valuable to the customer. This creates a win for both the customer and the company. 

Delta Airlines’ SkyMiles program, for example, makes great use of data to cut through barriers that could otherwise prevent strong relationships from developing. When members call in, the automated phone system quickly recognizes callers based on their phone numbers, addresses them by name and asks about recent or upcoming trips.

Personalizing interactions, continually making improvements and utilizing customer insights are key in this new, Commerce of Things world. Taking these steps can help transform transactional customers into loyal members – and take an online business to the next level.

Read more…
RSS
Email me when there are new items in this category –

Upcoming IoT Events

More IoT News

How wearables can improve healthcare | TECH(talk)

Wearable tech can help users track their fitness goals, but these devices can also give wearers ownership of their electronic health records. TECH(talk)'s Juliet Beauchamp and Computerworld's Lucas Mearian take a look at how wearable health tech can… Continue

IoT Career Opportunities