In a time where innovations permeate the market at great speed, increasingly revealing the difficulty of the human brain to keep up with the inflow of generated data, is still possible to ignore the need to automate some work activities? Can you be competitive in your market without exploiting the power of automation?

A FEW DATA POINTS

In 2019, the automation of “Business Processes” is on track to demonstrate the fastest growth of any business software category. In 2018 alone, this market grew by 63%.

Using current technology, 60% of professions could automate about 30% of their activities.

These numbers are symptomatic of the awareness that companies have about the potential of automation. GreenVulcano is perfectly aware of this as well. In addition to developing a highly performing business automation tool, GreenVulcano periodically organizes events aimed at promoting the implementation of new technologies within organizations. In the next installment of the Talking Tech program, scheduled for 5 December, we will be talking about the automation of processes and production. We will also be discussing the importance of data, collection, analysis as well as its use in more or less structured business contexts.

BUSINESS AUTOMATION

Business Automation (also known as “Business Process Automation” or “BPA”) consists of the use of technology to perform recurring tasks or processes in a company where it is possible to partially substitute manual effort. Corporate automation systematically replaces manual processes with ismart automation based on rules, just-in-time analysis and open collaboration. Often this is achieved with the use of business automation tools. Business automation tools simplifies and accelerates complex workflows, offering transparency and control on all parts of the process.

WHY INVEST IN AN AUTOMATION TOOL?

The potential of artificial intelligence and advanced robotics, used to perform tasks once destined for humans, is no longer reserved for spectacular demonstrations such as Baxter from Rethink Robotics, DeepMind or the driverless car from Google. Just head to an airport to find out that the automatic check-in stands dominate the ticketing areas of many airlines. Pilots actively drive the plane for only 3-7 minutes of many flights, with the automatic pilot who rules the rest of the journey.

Based upon this fact, it would therefore seem improper to talk about investment, since business automation is already a stable part of the procedural flows of many activities. However, while in the past companies wanted to automate processes to control costs and increase efficiency within the organization, today the focus of the companies has shifted from the satisfaction of internal needs to the engagement with external customers and the creation of new business opportunities. The traditional model of business automation has therefore evolved from a single focus on the rationalization of processes in the development of new strategies to the actual automation of the activity itself.

Since 1913, the year Henry Ford devised the assembly chain by making the use of technology popular as a means of automation of business processes, the business automation brings with it a widespread feeling of fear linked to a significant downsizing of jobs.

But this is not the case: according to today’s data, less than 5% of professions can be completely deprived of human contribution. Very few professions will be automated in their entirety soon or medium term. Rather, many work activities will not be eliminated as much as redefined, as happened for the professional figure of the bank teller with the advent of ATMs.

A brief introduction to Claudio: what it is and how it can automate your business activities

Previously we referred to business automation as an alternative to executing recurring activities in a company. However, often behind the automation processes are integration systems and programming activities for which specific technical skills are required. The difficulties of integration between legacy systems and new cloud-based systems are not negligible for a non-technical user.

Claudio, the business automation tool produced by GreenVulcano, allows you to integrate a huge number of complex systems and automate repetitive tasks in just a few simple steps.


A very simple graphical interface, combined with the drag & drop functionality, makes the process of creating the workflow to be automated extremely intuitive and fast. Also, the ease with which it can be integrated both on-premise and on cloud applications makes it particularly versatile and flexible.

In a few minutes you can create a new workflow and automate the established process.

FOR EXAMPLE:

We imagine wanting to automate a daily or weekly “news scouting” activity. Claudio’s flow could be built, in this case, using news catalogues, such as google news, filtered for keywords. The result would be a personalized email to each user (specific name of the user, specific topics based on past requests, etc) sent to periodic deadline.

Benefits:

  • Keep users informed about specific and customized topics;
  • Reduce and lighten the workload of employees;
  • Increase the satisfaction and loyalty of current customers;
  • Automate periodic contact with current and / or potential customers.

Why not try? Go to https://www.greenvulcano.com/claudio/, leave us your email and you will be contacted! Then come back here and let us know how it went!

And don’t miss “The Power of Process Automation“, the appointment with Talking Tech on December 5th.

WHAT IS THE INDUSTRIAL IOT?

To understand what Industrial IoT is, let’s first take a step back and explain  in a nutshell what we mean when we say the “Internet of Things”.

In 1999 Kevin Ashton, a researcher at MIT in Boston, described the Internet of Things as a set of technologies that allows to control, monitor and transfer information by connecting a device to the Internet.

The Industrial Internet of Things, usually abbreviated with IIoT, is therefore a verticalization of the broader concept of IoT, focused on the industrial ecosystem and enabled by technologies such as cybersecurity, cloud and edge computing, big-data analysis, artificial intelligence and machine learning.

IIoT MARKET

According to a report signed by IndustryARC, the Industrial IoT market will reach 124 billion dollars by 2021 and should exceed 771 billion dollars by 2026. The CAGR (compound annual growth rate) in the period forecast 2018-2026, is instead estimated at 24.3%.

The key to this growth lies in the fact that data obtained in real time not only allows better management of the production process, but also better management of all company assets, offering a clear and immediate picture of the company’s performance in all its areas.

IIoT SYSTEM ARCHITECTURE

The ordinary structure of an IIoT system is a modular architecture organized in 4 Levels:

  1. Device Level: is the physical component of the IIoT system: IT hardware, machinery and sensors;
  2. Network Level: it consists of communication protocols, cloud computing and wifi networks that collect data and transfer them to the next level;
  3. Service Level: made up of functional applications and software for analysis as well as the  transformation of data into information that can be displayed on the driver’s dashboard;
  4. Content Level: it is the last layer of the stack and is formed by user interface devices.

ADVANTAGES OF INDUSTRIAL IOT

The wide availability of data collected makes it possible to monitor and maintain (also in a predictive manner) strategic infrastructures, by utilizing AI and machine learning algorithms, we are able to generate estimates, forecasts on possible risks and suggest measures to be taken before failures occur.

For example, in the infrastructure sector, IoT sensors and predictive algorithms could allow the continuous monitoring of:

  • Tunnels: to assess their deformations and convergence;
  • Bridges: to check its inclinations and deflection measures;
  • Buildings: to measure static deformations on buildings and verify their structural integrity;
  • Sewage systems: to evaluate the speed and flow of waves;

The result of industrial IoT projects is the reduction of energy and maintenance costs, as well as the general improvement of business productivity and the employees work quality.

CRITICALITY OF THE IIoT 

  • Cyber ​​security: The existing IT security measures for IoT devices are far lower, and the risks are sometimes underestimated, compared to the existing measures for more traditional computers and devices. The risk of connecting a device to a network  makes it a potential target of a cyber attack.
  • Lack of standardization in communication protocols: industrial communication protocols are the conditio sine qua non for interconnection and data exchange between machine and software. In most companies the hardware is extremely varied in age, manufacturer and technology used. This heterogeneity often requires the use of different communication protocols thus making the interconnection operation complex and expensive.

However, these critical issues must not discourage investments in IIoT projects. The long-term benefits are extremely superior to the short-term efforts in terms of human and economic resources.

IIoT IN GREENVULCANO

Well before the IoT became a research trend, GreenVulcano had already developed its own solution to offer to customers.

Leading  the integration market thanks to an experience of over 10 years, GreenVulcano has recently put Sibyl (its IoT platform) on the market: . Sibyl is a cloud based (but can also be used on premise), plug and play, dedicated to the management, remote control and predictive maintenance solution to monitor complex infrastructure systems.

Find out which could be the right solution for the needs of your company and don’t hesitate to write us for further information.

To learn more about Greenvulcano’s IoT solution visit our website and don’t miss the next article.

This article is the continuation of the previous blog that you can find at this link and we suggest to read it before going ahead.
Big data in “new marketing” in this case is an artificial intelligence, first of all the automation of marketing processes.

D’Ambrosio emphasizes: “Marketing Automation is growing rapidly, it has been calculated that already 50% of companies use automation and a market expansion is expected in the coming months, but the analysis done also takes into account the simple automation of mailing list, while in my opinion the true concept of Marketing Automation is in the segmentation of customers, and the sending of targeted campaigns based on segmentation”.
The added advantage of Machine Learning in predicting certain results from patterns observed by Big Data offers a way in which repetitive tasks can be reduced and focuses more on the content of the campaign.

Recent advances in artificial intelligence and machine learning have paved the way for marketing automation tools.
On the topic GreenVulcano has clear ideas, stating with D’Ambrosio: The goal that must be asked is predictive personalization. In the sense that before the user needs to purchase a product, the “NEW MARKETING AUTOMATION” must be able to intercept it. This is precisely the innovation that must be pursued in the coming years, and companies that use such tools will be able to acquire customers before others”.

Predictive analysis uses data to predict certain results.

It is mainly used to monitor and signal the development of the strategy and the campaign. The value attributed to potential customers in the lead score based on behavior and other factors is taken into account with the data involved. The data must be large enough so that the Machine Learning is able to distinguish the difference between the underlying model and what is simply noise.

This intuitive tool is an essential element for the human shopping experience. The analyzes are able to segment the data into specific cluster models that identify models related to the customer’s previous purchasing behavior and store this information to predict the possibility of future purchases. All this provides companies with a better opinion on where to direct their funds because the analysis is able to predict high value customers with the highest propensity to buy.

D’Ambrosio explains: “Furthermore, in this artificial intelligence can play a fundamental role, which is to predict the best time to campaign against a specific client, the AI ​​must help manage customers as single entities, and not more like customer clusters, by doing so everyone will have targeted communications and only when I have the need (or am I to have) will I receive the right offer for me, with communications made adhoc for me and not the usual fired communications all the same”.

Live communication on social media is a perfect place to capture relevant data and send personalized messages in real time. Marketers use the data collected to perform content evaluations and automatically adapt messaging.

As Big Data will be increasingly available and integrated into the vast array of technological innovations that connect the world today, marketers need to find ways to better understand what these data are trying to show. The automation of the market no longer works by sending tons of e-mails, or by making constant calls, announcements or the monitoring of multiple websites is not enough to truly understand the consumer.

Having data is not enough without understanding its meaning. Predictive analysis can help us look beyond the data and examine the value found within the underlying model of consumer behavior. Together with Market Automation Predictive Analytics is the driving force of modern market strategies. The human experience will be satisfied, making it a victory for the consumer and in the same way for the companies that will see the business increase. GreenVulcano Technologies, a company dedicated to offering innovative solutions for companies using IOT technology, provides its predictive analytics services to meet its marketing objectives.
For more information, visit this link.

As you can imagine from the title the topic of the next blogs is quite vast and complex and therefore we want to start with a simple example to introduce the subject even to the less experienced. You probably had this happen to you. Let’s say you are glancing at a pair of shoes from your favorite online store. Be it the lack of funds or indecisiveness of the color selection, you end up navigating your way out of the website. The next website you find yourself in is totally different from the last, yet, somehow on the right side of the screen you spot something all too familiar – the same shoes. This is an example of ad retargeting, one of the different types of processes that marketing automation provides as a tool for marketers.

The commerce landscape has changed into a growing virtual shopping cart, consumers are turning to the internet to purchase goods and services essentially pushing marketers’ to redefine their tactics and strategies. Though traditional marketing relied heavily on mass media channels like the TV, magazines and radio, it had no real means of knowing who the consumers were or knowing the value in return from a specific campaign because tracking proved to be difficult.

The internet has paved the way for marketers to not only know who their consumers are, but also to track in real time the response rate of a campaign, opening the door to a new branch called digital marketing. This branch involves all social platforms and tools necessary for companies to reach and establish a relationship with consumers. A method such as this may seem to be the answer to all marketers’ dreams because it expands the tools available to carry through a successful campaign using activities such as search engine optimization, content marketing and campaign marketing to remove remedial task work.

However, simply having these tools is not enough in establishing automation efforts that will generate an efficient return on campaigns. Enter Big Data in tackling these challenges.

Not too long ago Big Data found itself on the other end of the stick with marketing automation. The crossover was practically nonexistent. Now the gap has been closed and they’re highly dependent on each other. Big Data alone has its own set of tasks from collecting and organizing its data to transforming the information into relevant insights that offer growth. To get most out of the data marketers need to use tools that will help with accuracy. This is where personalization comes in.

“We need tools to do this more and more innovative, flexible and “intelligent”, it is not enough to feed the list of customers to any marketing tool and hope that by putting a filter on age and sex, you grow your company”, said Marco D’Ambrosio Head of R&D Laboratory in GreenVulcano.

As consumers spend more time on apps, websites and web pages every day they are leaving their digital footprint behind. In e-commerce the millions of page views and reaches at each touch point hold a great deal of the data. The data contains wealth of information on the various stages of the consumer’s purchase history providing marketers a leverage to use when coming up with campaigns and promotions to create an individualized experience.

Personalization may seem to be somewhat of a hurdle by just having marketers work. It is actually a balancing act that requires the input of big data and the creative touch of the marketer to enhance the consumer experience. The future success of these business will be dependent on building relationships with customers and that will be dependent on sorting out the data to understand who the audience is. Artificial Intelligence plays a role in humanizing the experience by bringing efficiency in marketing automation. The use of up to date data and predictive analytics delivers promotions and offers in real time for the customers interested in that moment.

This concludes the first part of this study on new technologies and digital marketing.

In the second part we will analyze in more detail how the Artificial Intelligence must become an essential element in order to have a competitive advantage over competitors.