About Digitize01 Ltd

 

Welcome to Digitize01 Ltd, your number one source for all things Digital. We're dedicated to giving you the very best of Digital Transformation, with a focus on DevOps and Agile Practices, Automatiopn, DevOps Tools. Ultimately, we would like to help you succeed at Digital Transformation for every industry sector, and help enable along the way the actualisation of Industry 4.0 or Smart Factories.

Founded in 2019 by Ahmed Shlule, Digitize01 Ltd has come a long way from its beginnings as part-time in Windsor, United Kingdom. When Ahmed Shlule first started out, his] passion for current and emerging technologies drove them to do tons of research so that Digitize01 Ltd can offer you competitive - digital business success. We now serve customers all over the world. We are located very close to London Heathrow Airport, and are thrilled that we're able to turn our passion successful digital products and services helping you save money, time, efforts, and excellent Return-on-Investment (ROI).

We hope you enjoy our products and services as much as we enjoy offering them to you. If you have any questions or comments, please don't hesitate to contact me.

 

Sincerely,

Ahmed Shlule

Founder & CEO

Email: Ahmed.Shlule@Digitize01.com

 

1. Digitize01 Ltd and Digitial Transformation Practice

The Key Enabling Technologies (KET) for Digital Transformation Practice are:

1.1 Digital Transformation

Understand how the digital transformation is modifying the economy, and be able to build digital business strategies.

1.2 Agile

Understand the Agile mindset by experimenting the Agile management practices. Understanding Scrum,  understand  Kanban,  develop  the deployment pipelines, and define requirements with User Stories.

1.3 DevOps Culture & Tools

At "Digitize01" we believe that DevOps practices can be successfully applied to other industries in addition to Information Technology (IT) and Communications, in the form of Agile Methodologies and Digital Transformation roadmaps.

1.4 Automation ... Automation ... Automation

Automation makes development much easier and saves time, but let's talk about when it's smart to automate processes, and when it's not.

1.5 Digital Marketing

Develop  digital  marketing  strategies that permit to generate awareness and visibility  for  a  digital  product,  attract  and  retain  users and understand how to optimize each phase of the conversion funnel.

1.6 Modern Finances & Budgeting

Create  a  financial  plan appropriate  to  the  needs  of  agile  companies  that operate in digital environments.

1.7 Legal Tech

Understand the  impacts  of  digital  disruptions  on  regulations  in  order  to  advance  legal requirements in digital-based corporation.

1.8 Disruptive Technologies

Discover  which  technologies  are transforming economic models and what are their impacts in different industries.

1.9 Innovation

Develop the necessary skills for the generation  of  innovation,  understanding  their  role in the framework of digital transformation.

1.10 Data-driven Business

Understand  the  different   business   models   that   arise   from   the   data,   and   how   the   data   generated   by   digitalization can be used to solve real problems and  improve  decision  making  by  increasing  profits  and/or  reducing  operating  costs  and fraud.

1.11 Cyber Security

Understand  the  risks  and  vulnerabilities  of  a  digital  project  and how to properly protect them. Learn  the  basic  principles  of  security,  including  confidentiality, integrity and availability

1.12 Digital Talent and Culture

Learn   to   manage   the   talent   of  an  organization  that  operates  in  digital  environments   and   to   prepare   a   suitable   corporate  culture    that    ensures    the    new    structural   needs   that   arise   when   adopting   digital business models.

1.13 Management and Leadership

Work  on  the  practice of different  models  of   leadership   and   management   to   operate   successfully in the digital economy.

1.14 Change Management

Develop  skills  to  manage  the  change  in  the  digital  economy  and  adapt  the  organization  to  these  needs.  Embrace change  management  from  the  vision  of individual change, the change in teams and in the organizations.

1.15 Lean Management

Apply the  “lean”  model  to  business  management,  optimizing   the   creation   of   value   with   the   necessary resources. 

1.16 Advanced IT Management

Manage  IT  departments  in  organizations  that  use technology intensively.

1.17 Entrepreneurship

Shape opportunities and lead Teams to create economic and social value. Create and develop business models for start-ups, based on customer development and continuous validation, managing financial metrics and dealing with investors.
 

2. Digitize01 Ltd and Industry 4.0 Practice

Enabling Industry 4.0 @ Digitize01. The first industrial revolution came with the advent of mechanisation, steam power and water power, which was followed by the second industrial revolution that revolved around mass production and electricity. The third industrial revolution came with electronic and I.T. systems and automation, which led to the fourth industrial revolution that is associated with cyber physical systems. The Key Enabling Technologies (KET) for Industry 4.0 are:

2.1 Big Data and Advanced Analytics

Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.

2.2 Next-Generation Sensors

A sensor is a device that detects and responds to some type of input from the physical environment. The specific input could be light, heat, motion, moisture, pressure, or any one of a great number of other environmental phenomena. The output is generally a signal that is converted to human-readable display at the sensor location or transmitted electronically over a network for reading or further processing.
 

2.3 Internet-of-Things (IoT)

The Internet of Things is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
 

2.4 Radio Frequency Identification (RFID) Tags and Real Time Location Systems (RTLS)

Radio-frequency identification uses electromagnetic fields to automatically identify and track tags attached to objects. The tags contain electronically stored information. Passive tags collect energy from a nearby RFID reader's interrogating radio waves.

A real-time location system (RTLS) is one of a number of technologies that detects the current geolocation of a target, which may be anything from a vehicle to an item in a manufacturing plant to a person. RTLS-capable products are used in an ever-increasing number of sectors including supply chain management (SCM), health care, the military, retail, recreation, and postal and courier services.

 

2.5 Automatic Guided Vehicles (AGV)

An automated guided vehicle or automatic guided vehicle is a portable robot that follows along marked long lines or wires on the floor, or uses radio waves, vision cameras, magnets, or lasers for navigation.
 

2.6 Human-Machine Interfaces (HMI)

An HMI is a software application that presents information to an operator or user about the state of a process, and to accept and implement the operators control instructions. Typically information is displayed in a graphic format (Graphical User Interface or GUI). An HMI is often a part of a SCADA (Supervisory Control and Data Acquisition) system.

 

2.7 Supervisory Control and Data Acquisition (SCADA)

SCADA is an acronym for supervisory control and data acquisition, a computer system for gathering and analyzing real time data. SCADA systems are used to monitor and control a plant or equipment in industries such as telecommunications, water and waste control, energy, oil and gas refining and transportation.
 

2.8 Manufacturing Execution System (MES)

A manufacturing execution system (MES) is an information system that connects, monitors and controls complex manufacturing systems and data flows on the factory floor. The main goal of an MES is to ensure effective execution of the manufacturing operations and improve production output.
 

2.9 Computerized Maintenance Management System (CMMS)

A CMMS is computer software designed to simplify maintenance management. CMMS stands for Computerized Maintenance Management System (or Software) and is sometimes referred to as Enterprise Asset Management (EAM) software.
 

2.10 Additive Manufacturing

The 3D printing process builds a three-dimensional object from a computer-aided design (CAD) model, usually by successively adding material layer by layer, which is why it is also called additive manufacturing, unlike conventional machining, casting and forging processes, where material is removed from a stock item (subtractive manufacturing) or poured into a mold and shaped by means of dies, presses and hammers.

The term "3D printing" covers a variety of processes in which material is joined or solidified under computer control to create a three-dimensional object, with material being added together (such as liquid molecules or powder grains being fused together), typically layer by layer. In the 1990s, 3D-printing techniques were considered suitable only for the production of functional or aesthetic prototypes and a more appropriate term for it was rapid prototyping. As of 2019 the precision, repeatability and material range have increased to the point that some 3D-printing processes are considered viable as an industrial-production technology, whereby the term additive manufacturing can be used synonymously with "3D printing". One of the key advantages of 3D printing is the ability to produce very complex shapes or geometries, and a prerequisite for producing any 3D printed part is a digital 3D model or a CAD file.
 

2.11 Augmented Reality

Augmented reality (AR) is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual, auditory, haptic (the ability "to grasp something), somatosensory (a part of the sensory nervous system) and olfactory (is a chemoreception that forms the sense of smell). AR can be defined as a system that fulfills three basic features: a combination of real and virtual worlds, real-time interaction, and accurate 3D registration of virtual and real objects. The overlaid sensory information can be constructive (i.e. additive to the natural environment), or destructive (i.e. masking of the natural environment). This experience is seamlessly interwoven with the physical world such that it is perceived as an immersive aspect of the real environment. In this way, augmented reality alters one's ongoing perception of a real-world environment, whereas virtual reality completely replaces the user's real-world environment with a simulated one. Augmented reality is related to two largely synonymous terms: mixed reality and computer-mediated reality.
 

2. 2 Efficient Energy Technologies

Energy efficient technologies can be found in all parts of the energy conversion chain: from exploration and production of primary energy resources, to power generation and oil refineries to electricity grids, to the final use in industry, buildings and transportation.
 

2.13 Collaborative Robots (COBOTS)

A collaborative robot is a robot that collaborates with humans in some way – either as an assistant in a task or process, or as a guide. Unlike autonomous robots, which work largely alone and without supervision, collaborative robots are programmed and designed to work with human instruction, or otherwise respond to human behaviors and actions.
 

2.14 Artificial Intelligence (AI)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning, Problem solving.

 

2.15 Cloud Computing/Hosting

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.

A web hosting service is a type of Internet hosting service that allows individuals and organizations to make their website accessible via the World Wide Web.

 

2.16 Fog and Edge Computing

Edge computing is a direct response to the monumental increase of bandwidth required by the end devices that underpin the IoT.

Edge and fog computing are closely related – both refer to the ability to process data closer to the requester / consumer to reduce latency cost and increase user experience. Both are able to filter data before it “hit” a big data lake for further consumption, reducing the amount of data that needs to be processed. The basic idea of edge and fog computing is to move data logic (mainly around data validation / data grammar checks) to an outer ring of capabilities.

Edge and fog computing concepts have been developed to respond to the cheer increase of data bandwidth required by end devices and has been fuelled by the explosion of IoT (Internet of Things) which in turn has increased the need to process the generated data much closer to the source in real time. In other words, edge and fog computing push the cloud (read data centre) closer to the requester to minimise latency, minimise cost and increase quality.
 

2.17 Cybersecurity

Cybersecurity is how individuals and organisations reduce the risk of cyber attack. Cybersecurity's core function is to protect the devices we all use (smartphones, laptops, tablets and computers), and the services we access - both online and at work - from theft or damage.
 

2.18 Collaborative Platforms

A collaboration platform is a category of business software that adds broad social networking capabilities to work processes.  The goal of a collaboration software application is to foster innovation by incorporating knowledge management into business processes so employees can share information and solve business problems more efficiently.
 

2.19 Product Lifecycle Management (PLM)

Product lifecycle management (PLM) is the process of managing complex product information, engineering and manufacturing workflows, and collaboration. PLM software connects people, processes, and data across the entire product lifecycle to a central repository of information.
 

2.20 Digital Twin (Cyber-Physical Equivalence CPE)

Digital twins are virtual replicas of physical devices that data scientists and IT pros can use to run simulations before actual devices are built and deployed. They are also changing how technologies such as IoT, AI and analytics are optimized.

A digital twin is a digital representation of a physical object or system. The technology behind digital twins has expanded to include large items such as buildings, factories and even cities, and some have said people and processes can have digital twins, expanding the concept even further. The idea first arose at NASA: full-scale mockups of early space capsules, used on the ground to mirror and diagnose problems in orbit, eventually gave way to fully digital simulations.
 

2.21 Cyber-Physical Systems (CPS)

Cyber-Physical Systems (CPS) are integrations of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa.