Tag Archives: Mobility

How Artificial Intelligence is Used Across Industries

In our last post, we took a look at how artificial intelligence is the digital edge. In this post, we’ll take a look at some examples of how AI is being used in different industries.

First, let’s define artificial intelligence (AI). It is automating processes that previously required human interaction. A high-end example is a driverless car. A simpler example is a chess-playing computer. AI is changing how we work and play and it is touching every aspect of our lives. AI is the intelligent digital edge. It’s where people and devices meet. It’s processing data on the spot rather than sending it to the cloud.

AI is becoming a game changer in the financial industry. Because AI learns through progressive, deep learning algorithms, it can be predictive. In the financial industry, that means AI can be used to prevent fraud rather than just detect it. AI can also be used to change the customer experience too. For example, Capital One became the first financial services company to enable customer account access through Alexa. Today, 20% of people do their banking digitally and most financial executives believe that AI will become the primary customer touchpoint by 2020.

In a survey of 2500 senior IT decision makers conducted by Opinion Research for Mitel, 95% say digital transformation is a key component in improving the customer experience. 56% say a better customer experience results in higher customer satisfaction.

Today, customers, especially millennials, already embrace digital technology. They expect a highly personalised experience that ties together voice, video, movie and online channels. AI has already changed shopping by providing personalised recommendations based on previous customer preferences. AI can also help with store management in terms of stock, layout analysis, sales predictions, and more.

Machine learning, as a subset of AI, is already a fixture in factories and monitoring stations. But, AI has more critical uses in manufacturing and industry. By analysing IoT data, AI can forecast loads and demand, predict hardware failures and initiate recovery procedures so crews can be sent out for preventative maintenance. It’s estimated that by 2020, more than 50% of internet traffic could come from IoT sensors as the number of connected devices grows to 34 billion.

Security and Public Safety
AI is becoming a critical component in public safety. For security and surveillance cameras, AI can become the digital eyes, instead of human eyes, and analyse movement. This can help police spot crimes and monitor public spaces for accidents and disturbances.

In addition, facial recognition is a big part of security systems at borders, airports, etc. Computers can scan through thousands of images faster and more accurately than a human can. Facial recognition security is now also being used almost everywhere from smartphones and building access systems to credit cards and driver’s licenses.

Artificial intelligence is transforming every aspect of healthcare and 2018 is expected to be an explosive year for AI in healthcare. The possibilities are limitless. AI can act as a virtual assistant and help doctors diagnose patients, provide treatment plans, analyse lab tests, etc. It can also act as a life coach reminding people to take their pills, track medication consumption and provide pain management procedures. AI is becoming a critical component in healthcare from the OR and ER to remote patient visit systems.

Personalised AI
Artificial intelligence is personal too. You interact with it every time you ask Siri a question or tell Alexa to turn on the lights. Music recommendation systems, such as Spotify or Pandora, are based on artificial intelligence as well.

Smart buildings
Artificial intelligence is the basis for smart buildings. A great example of this is The Edge, possibly the smartest building in the world. It’s also officially the greenest office building in the world. The Edge is Deloitte’s headquarters in the Netherlands and a building that knows where you live, what car you drive, who you’re meeting with today, where to find a desk, your preferences for temperature and light, and more. The Edge is the most fully realised example of using intelligent edge technology and the IoT to change the way, how and where we work. For example, every light is powered by an Ethernet cable. The building is packed with 28,000 sensors. It’s a cool place where people want to work. Take a look at The Edge and see for yourself.

Learn more about The Edge in this Bloomberg article.

Begin your digital transformation
These are just a few examples of the rise of artificial intelligence. As the world of internet of things expands, many devices are being created to process data on their own. These intelligent IoT devices do more than simply collect and deliver data. Many process data on the spot rather than send it to the cloud for analysis. Intelligent IoT devices are beginning to effectively analyse diverse sets of data to produce value in real-time – and at the edge.

Learn how you can begin your digital transformation to the intelligent digital edge at BlackBox.co.uk


Industry Trends in Enterprise Mobility

Today, industries that embrace the digital transformation realise that a mobile-first strategy is not a luxury, but a necessity.

How IT administrators take advantage of mobility varies from industry to industry. Mobility in retail is quite different than mobility in heavily regulated environments such as healthcare or finance. But the end goal is the same: improve workflows and productivity as well increase customer engagement and enhance the user experience. Companies embarking on their digital transformation journeys now are setting the pace for how technology is redefining workflows.

“Basically the future of enterprise mobility is to deliver workflows that can run anywhere on any device without compromising the UX or security,” said Maribel Lopez, Owner of Lopez Research. “In an ideal world, we’d create apps that are better than their predecessors and applications that can leverage context such as location, motion and image capture.”

A report by the Enterprise Mobility Exchange: The Edge of Enterprise Mobility: Which Industries Lead the Way, which incorporates data from VDC research, provides data on how enterprise mobility is being embraced in different industries. There are two categories of mobility. The first is in company facing and focused on optimising systems and cost savings. The second is outward facing and focused on improving customer engagement and experience.

Take a look and see how your industry compares in terms of mobility.






Field service leads the way, but that is not unexpected. Field service is, by definition, having technicians working at the customer’s site or at the company’s remote sites, such as cable technicians, home nurses or mining engineers. Field service is literally working at the digital edge and enterprise mobility is enhancing the way users work, collect data and communicate.

. Retail has been a leader in digital transformation, including mobility, innovating new and dynamic ways to interact with customers from coupon sites such as eBates or Retail Me Not to predictive artificial intelligence algorithms that make shopping recommendations. And consumers are embracing it and expecting it. For example, 90% of traffic on coupon sites is from mobile devices and 80% of mobile device usage is through apps rather than web browsing (ComScore). Retail will continue to embrace mobility and introduce new ways to interact with customers.

Healthcare is aggressive in its digital transformation journey. More than any other industry, mobility is changing the face of healthcare from clinical care to compliance with regulations. Mobility in healthcare is mission-critical and touches patients, physicians and administrators everywhere from treatment programs to IoMT (Internet of Medical Things) devices. Fail-proof mobility is expected in healthcare and is integrated into how healthcare is administrated. For example, 80% of physicians use handheld devices and medical apps for patient care. It’s estimated that in 2018, 65% of interactions with healthcare facilities will occur on mobile devices.

Manufacturing. To improve processes and reduce costs, manufacturers have been embracing their digital transformation with the IoT, machine learning and artificial intelligence. Mobility plays an increasingly important role in terms of safety, monitoring equipment and preventative maintenance. It can also provide a redundant, fail-safe backdoor to remote sites if the primary cable connections fail.

Public Sector. The most surprising figure is the public sector rate. Government agencies and public safety providers, transportation, utilities and other public services have typically been slow to adopt new technologies due to budgetary constraints, security concerns and regulations. While lagging behind the private sector, the public sector is making headway in enabling mobile applications.

Moving mobility strategies forward

Digital transformation is being fuelled by enterprise mobility. It’s integrated into the daily lives of millions of workers and is fundamentally changing how we interact and our workflows.

“The number of organisations that are mobilising applications is accelerating,” said Eric Klein, Analyst with VDC, “specifically in industries where mobile solutions have been business-critical. We expect adoption in these industries to continue to gain steam, as organisations come to recognise that investments in new tools can help to save time in their coding and prototyping processes as well as minimise costs while improving communication and collaboration across their organisations.”

With enterprise mobility comes change and disruption. But that’s a good thing for IT administrators. It gives them the ability to drive innovation as they look for new ways to streamline processes. Change gives them the ability to become an influencer rather than an implementer.

Learn how to Make Mobility Happen in your Enterprise at BlackBox.co.uk


Artificial Intelligence IS the Digital Edge

In this post, we’ll take a look at how artificial intelligence is the epitome of the digital edge and some predictions on where it’s going in 2018. In a future post, we’ll look at how artificial intelligence is being utilised in different industries.

Artificial Intelligence Today and Everyday
Artificial Intelligence (AI) is now, not in some distant future. In 2018, we are going to see an explosion of AI in all industries and all verticals.

AI has changed how we work, play and live and its impact is growing—rapidly. AI improves the customer experience, increases productivity, protects the public, accelerates research, diagnoses patients, prevents machine failures, analyses data, recommends music, and the list goes on and on.

As consumers and professionals, we are the drivers of artificial intelligence. We expect personalisation and unprecedented levels of quality, agility and speed – and AI provides it.

We interact with artificial intelligence every day, although we may not realise it. Every time you talk to Siri or Alexa, you’re interacting with artificial intelligence. At the high-end, there are self-driving Uber cars. In between, there are IoT devices everywhere from factories and smart buildings to your home and car.

Every artificial intelligence touch is computing at the digital edge. It’s literally the place where people and devices meet. It is machines working and thinking for us. Analysing data. Giving us information. Making decisions for us and ultimately, making our lives easier on the spot—at the edge.

What is artificial intelligence? 

Artificial intelligence is automating processes that previously required human interaction. A high-end example is the aforementioned driverless Uber car (which our US colleagues can get in downtown Pittsburgh, PA). A simpler example is a chess-playing computer.

AI is often thought of as machine learning when it is actually a subset of it. AI is the ability of a machine or computer to think and learn from experience. Instead of robotic automation, AI learns from deep data and adapts through progressive, deep learning algorithms to let the data do the programming. For example, Alexa and Siri are all based on deep learning.

AI takes data analysis from hindsight to foresight with a greater ability to predict events, such as monitoring HVAC systems and sending out maintenance crews to prevent system failures. Another example might be a financial system that prevents fraud instead of just detecting it. But AI is very task specific. The system designed to detect financial fraud can’t monitor HVAC systems.

The future of artificial intelligence

AI is big and getting bigger. The artificial intelligence market is predicted to be a US$100 billion industry by 2025.

In a recent survey, 75% of executives say AI will be actively implemented in the next two years. It’s estimated that in 2018 alone, 1.3 million industrial robots will enter service and that data created by IoT devices will be 277 times higher than the amount of data being transmitted to data centres from end-user devices.

Consider this. Tech giants like Facebook, Google, Microsoft and Baidu have already spent over US$8 billion on dedicated AI investments. Recently, Sundar Pichair, Google CEO said “Particularly over the last three years, we have felt that with machine learning and artificial intelligence, we can do these things better than ever before. They are progressing at an incredible rate.”

Artificial intelligence is the intelligent digital edge. Intelligent devices do more than simply collect and mindlessly deliver data. They are able to process data on the spot instead of sending it to the cloud for analysis. Whether in industry, public spaces or even in your home or car, IoT devices are beginning to effectively analyse data in real-time—and at the edge. AI is at the heart of the digital transformation.

Whether it’s as simple as the wireless in your home to power Alexa and machine learning sensors on the factory floor to complex medical diagnosis and even self-driving cars, AI is driving new business outcomes and has forever changed our expectations of what’s possible. The intelligent digital edge is the foundational technology that enables AI and all the promises it holds in every facet of life. For instance, Uber has hired hundreds of self-driving car experts from Carnegie Mellon’s Robotics Institute. Currently, AI experts are the most on-demand hires on Wall Street. In the not so distant past, these types of jobs didn’t exist.

The question now is how can businesses use AI to give them a competitive edge. AI is no longer an option. It’s critical for organisations to realise AI’s full potential and to take advantage of the specific strengths of humans and machines. Executives need to consider where AI can create the most long-lasting and profound advantage. To do that, they need the right partner to help them embrace digital transformation and leverage the right technologies at the intelligent digital edge.

To learn more about how we can help you with your transformation at the Intelligent Digital Edge, go to Blackbox.co.uk or contact us.

Why a mobile-first strategy is a necessity at the Intelligent Digital Edge

We live in a world where mobile connectivity is not a luxury, but an absolute necessity. According to recent reports, 70% of businesses will be completely mobile by 2020. The need for reliable, quality connections anywhere spans from the consumer’s daily life to the business world and everywhere in-between. The companies that will succeed in the long run are the ones that create a mobile-first strategy that focuses on the underlying technologies that will enable the experiences expected by today’s mobile users.

Unfortunately for most organisations, the wireless infrastructure needed to meet user and business demands is lacking. It’s time to rethink mobility initiatives in the larger context of digital transformation. When it comes to digital transformation, mobility is top of mind for CIOs and their IT teams. There is a sole focus from these stakeholders to adapt to the proliferation of mobile devices and applications.

Whether you need to ensure more speed, capacity and reliability for your mobile business-critical applications, or accelerate your next-gen Wi-Fi deployment — or in most cases both — the intelligent digital edge is your answer.

The intelligent digital edge is that space in and around virtually any facility where people and devices meet. It’s where users are located, where data is created and consumed and where applications are shared. This is where the real opportunity is for digital transformation, and wireless is a fundamental capability in enabling the digital edge.

However, with great opportunity comes great challenges. Capacity has reached critical mass at the edge and it is no longer acceptable to provide simple connectivity.  Connectivity must be mobile with mission-critical performance that can be dialled up on demand driving efficient and uninterrupted operations.

Comprehensive wireless networking expertise is required to optimise Wi-Fi networks and integrate 4G LTE (5G) service accessibility and reliability. It is important to note that wireless requirements can vary across enterprises. For those markets that are truly mission-critical, such as first responders and military, there are also public safety communication solutions to consider. The key is a purpose-built, mobile-first solution for your organisation’s specific needs. Mobility is not a one size fits all solution. With the right mix of intelligent edge solutions and by leveraging different types of wireless technology, you can mobilise more people and devices, dial-up capacity as you need to and keep the information flowing in and out of your enterprise.

Find the right mobility solution at Black Box. We can optimise the design, streamline the deployment and deliver ongoing management to establish a wireless network that you can rely on now and well into the future. When you unlock the digital edge, you set the groundwork for secure, uniform, robust mobile experiences that are expected anywhere and everywhere people and devices meet in your facilities.

Learn how Black Box makes Mobility happen.