Artificial Intelligence, Part 1: Understanding Data

Analytics & Cognitive
  • Smaller Small Medium Big Bigger
  • Default Helvetica Segoe Georgia Times

This article series is designed to provide you with an introduction to the basic concepts of artificial intelligence (AI), machine learning (ML), and deep learning (DL), as well as introduce you to some of the terminology that is frequently used in discussions regarding this technology. This is not a deep dive into AI, ML, and DL but rather a “dictionary” of AI, ML, and DL topics and terms.

The information provided is NOT intended to make you an AI, ML, or DL expert. Nor will it show you how to build, train, and deploy ML and DL models. Instead, it will give you a good foundation in AI, ML, and DL and help you understand some of the terminology you are likely to encounter in discussions, presentations, papers, and books on the subject.

Understanding data

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), Part 1: An Introduction - Figure 1

Figure 1: "Data is the new oil"

In 2006, Clive Humby, a British mathematician and entrepreneur in the field of data science and customer-centric business strategies, coined the phrase “Data is the new oil”. Soon after, Michael Palmer, executive vice president of the Association of National Advertisers, amplified the point in a blog post, writing that like oil, data is “valuable, but if unrefined it cannot really be used. [Oil] has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable activity; so, data must be broken down and analysed for it to have value.”

But how do organizations deal with the massive amounts of data that’s available to them? And how can they change this valuable “crude” into an even more valuable commodity – the insight needed to make actionable decisions?

These questions are even more consequential today than they were in 2006, given the exponential increase in the amount of data being generated. According to Statista (, approximately 97 zettabytes of data was created, copied, captured, or consumed around the world in 2022. And this number is expected to grow to 181 zettabytes by 2025! Therefore, it is incumbent upon organizations to employ tools like artificial intelligence (AI), machine learning (ML), and deep learning (DL), which enable them to ingest and process all this information, and in turn, gain insights that will help them make better decisions and ultimately improve their bottom line.

In its most basic form, data is information that has been translated into some format that can be easily stored, moved, or processed. Computers represent data as binary values using patterns of just two numbers: 0 and 1. And, keeping with the categorization that is central to most computer operations, data can fall into one of three categories:

  • Structured
  • Unstructured
  • Semi-structured

Technically, all data has structure of some sort. So, deciding which category certain data belongs to often comes down to whether that data has a pre-defined structure or is organized in a pre-defined way.



Data, the “New Oil,” Cannot Be Used If Left Unrefined. Thankfully, AI Can Help

Why Do People Still Think Data Is the New Oil?

Structured Data

Artificial Intelligence, Part 1: Understanding Data - Figure 2

Figure 2: Structured data – data that has a clearly defined format

Structured data refers to data that has a clearly defined size and data type – commonly used data types include characters, numbers, dates, times, and groups of characters called strings. Usually, structured data is organized into some type of formatted repository (typically a spreadsheet or database), so its elements can be made addressable for more effective processing and analysis. Most experts agree that structured data accounts for about 20% of all the data that is generated.

If you look at an Excel spreadsheet, you will notice that it consists of rows (identified by numbers along the left-hand side) and columns (identified by characters across the top). A column typically represents some attribute that has a well-defined data type, and a row represents a single record that has multiple columnar values (or attributes). For instance, a record (row) that contains bank account information, might have one column that contains the account number, another column that contains the account balance, another column that contains the date the last debit or credit was made against the account, and so on. The column that contains the account number may be defined such that it only accepts a string of characters and numbers, the account balance column may only accept currency values, and the column containing information about dates that transactions were performed may only accept valid dates.

As you can see from this example, each row in a structured data set is well defined in that all column values for any given row are somewhat related. We say the row is “structured” because there is a well-defined column for every value stored in the row and each row contains the same set of columns.

Relational database management systems (RDBMSs) like IBM Db2, Oracle, Microsoft SQL Server, and so forth, store data using a similar row-column format, but at a much larger scale. Consequently, they often serve as the main repository for structured data in a company and are frequently used as the primary data source for AI, ML, and DL projects. In many cases, such projects are looking for patterns in existing rows so they can predict the value for a given column.

For example, if a table in a database contains information about the local real estate market, a single record (for a house) might contain information such as style, location, square footage, lot size, number of bedrooms, number of bathrooms, room sizes, tax appraisal value, last sale price, and so on. Using this data, an ML model could be developed that accurately predicts the sales price for a home when presented with information found in the other columns. And an application could be developed that uses this ML model to predict the optimum sale price for a new home coming on the market when all relevant information is provided.

 Unstructured Data

Artificial Intelligence, Part 1: Understanding Data - Figure 3

Figure 3: Unstructured data – drawings, photographic images, audio clips, videos, etc.

Unstructured data is data that either does not have a pre-defined data model or is not organized in a pre-defined manner. Drawings, photographic images, audio clips, and videos are examples of unstructured data. That said, it’s important to note that a small amount of metadata – attributes that define the data itself – that has a defined structure may be stored with this type of data so delivery mechanisms can use it. For example, image data stored in a JPEG (Joint Photographic Experts Group)-formatted file will have some structured metadata stored with it so select applications will know how to use the data to render the image on a computer screen.

According to Gartner, somewhere around 80% of enterprise data originates in unstructured form. IDC claims that unstructured data grows at 26.8% annually compared to structured data, which only grows at 19.6%. And it’s not just the digital photos, recordings, videos, and social media postings people produce daily that is driving this trend; unstructured data is increasingly being generated by machines like laboratory equipment and medical devices, as well as software that aids in tasks like electronic design and geospatial modeling.

As businesses embrace AI, ML, and DL, unstructured data is becoming essential to their offerings and operations. Why? Because ML and DL algorithms are capable of gaining valuable insights from unstructured data that are otherwise impossible to derive.

For example, the medical industry is beginning to see ML and DL models that can use unstructured data in the form of images to help diagnose cancer and other diseases. In other areas, ML and DL models are being used to search social media for patterns that indicate a user’s sentiment (how they feel) about a particular product or service, and to create chatbots (software that conducts a conversation via audio or text to convincingly simulate how a human would behave as a conversational partner) to answer questions that traditionally would have been addressed by someone working at a help desk.


Semi-structured Data

Artificial Intelligence, Part 1: Understanding Data - Figure 4

Figure 4: Semi-structured data – data with some number of organizational properties.

Semi-structured data is a form of structured data that does not adhere to the formal structure used with spreadsheets and relational databases, but nonetheless has some organizational properties like semantic tags and hierarchies, that make it easier to read and analyze. A good example of semi-structured data is Hypertext Markup Language (HTML) code, which doesn't restrict the amount of information that can be stored in a document, but still enforces a hierarchy via required semantic elements. (HTML is the standard markup language that is used for documents that are designed to be displayed in a web browser.) Other forms of semi-structured data include:

  • Email messages – a method of exchanging messages between people using electronic devices.
  • Comma Separated Value (CSV) files – CSV files consist of “rows” of data where each “column” value is separated by a comma and each row is separated by a carriage-return/line feed character.
  • Extensible Markup Language (XML) documents – XML is a markup language that defines a set of rules for encoding documents in a format that is both human and machine readable.
  • JavaScript Object Notation (JSON) objects – JSON is an open standard format that uses human readable text to transmit data objects consisting of attribute–value pairs.
  • Electronic Data Interchange (EDI) documents – EDI is a process that allows one company to send information to another company electronically rather than with paper. Many business documents can be exchanged using EDI, but the two most common are purchase orders and invoices.
  • Resource Description Framework (RDF) metadata – RDF is a standard model for data interchange on the Web that allows structured and semi-structured data to be mixed, exposed, and shared across different applications.
  • NoSQL database data – A NoSQL database provides a mechanism for the storage and retrieval of data that is modeled in methods other than that used with relational databases. (Popular NoSQL databases include MongoDB, Redis, Apache CouchDB, and Cassandra, to name a few.)

It’s important to note that because very little data in the modern age has absolutely no structure and no metadata associated with it, data that is categorized as being unstructured could, technically, be considered semi-structured. So, there are some who argue that the distinction between unstructured and semi-structured data is moot.


Adding Dimensions to Data

Artificial Intelligence, Part 1: Understanding Data - Figure 2

Figure 5: Data in terms of dimensions

Now that we have looked at the different types of data that’s available, let’s talk about data in terms of dimensions. It’s relatively easy to conceptualize dimensions when it comes to two-dimensional (2D) and three-dimensional (3D) objects. For example, a circle, square, or triangle drawn on a piece of paper has two dimensions – width and height. But a cube or sphere drawn on a piece of paper, along with the paper itself and practically every other object in the world has three dimensions – width, height, and depth (sometimes referred to as length or thickness).

It’s also not that difficult for humans to visualize objects in four dimensions. The four-dimensional example shown in Figure 5 begins with a three-dimensional graph that shows X, Y, and Z planes, and then adds color to create a fourth dimension. In the real world, the fourth dimension is often referred to as the time dimension. Thus, a box being thrown from one person to another has four dimensions – the width, height, and length of the box, coupled with the time it takes for the box to travel through the air.

But how do you graphically represent a fifth-dimension, sixth-dimension, or more? If you have data stored in a table that has four or more columns and you think of each column as being a different dimension, it’s not too difficult to picture what data with more than four dimensions might look like. However, trying to find patterns or correlations in all that data is difficult. And having more than four columns (dimensions) makes the problem exponentially more difficult to solve. The more dimensions you have, the more combinations of data you need to examine to find patterns amongst all the possible combinations of data available. That’s why it’s a good idea to eliminate dimensions that are not needed before you attempt to use data for AI, ML, and DL.

Stay Tuned

In the next part of this article series, we’ll explore what AI, ML, and DL are, as well as look at the building blocks of AI, ML, and DL, and explore the typical ML and DL workflow.

Roger Sanders

Roger E. Sanders is a Principal Sales Enablement & Skills Content Specialist at IBM. He has worked with Db2 (formerly DB2 for Linux, UNIX, and Windows) since it was first introduced on the IBM PC (1991) and is the author of 26 books on relational database technology (25 on Db2; one on ODBC). For 10 years he authored the “Distributed DBA” column in IBM Data Magazine, and he has written articles for publications like Certification Magazine, Database Trends and Applications, and IDUG Solutions Journal (the official magazine of the International Db2 User's Group), as well as tutorials and articles for IBM's developerWorks website. In 2019, he edited the manuscript and prepared illustrations for the book “Artificial Intelligence, Evolution and Revolution” by Steven Astorino, Mark Simmonds, and Dr. Jean-Francois Puget.

From 2008 to 2015, Roger was recognized as an IBM Champion for his contributions to the IBM Data Management community; in 2012 he was recognized as an IBM developerWorks Master Author, Level 2 (for his contributions to the IBM developerWorks community); and, in 2021 he was recognized as an IBM Redbooks Platinum Author. He lives in Fuquay Varina, North Carolina.

MC Press books written by Roger E. Sanders available now on the MC Press Bookstore.

QuickStart Guide to Db2 Development with Python QuickStart Guide to Db2 Development with Python
Discover how Python, SQL, and Db2 can successfully be used with each other.
List Price $9.95

Now On Sale

DB2 10.5 Fundamentals for LUW (Exam 615) DB2 10.5 Fundamentals for LUW (Exam 615)
Don't even think about attempting to take the DB2 Fundamentals exam without this indispensable study guide.
List Price $79.95

Now On Sale

DB2 10.1 Fundamentals (Exam 610) DB2 10.1 Fundamentals (Exam 610)
Let one of the world's leading DB2 authors and a participant in the exam development help you succeed.
List Price $79.95

Now On Sale

Artificial Intelligence: Evolution and Revolution Artificial Intelligence: Evolution and Revolution
Operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before.
List Price $16.95

Now On Sale

DB2 10.5 DBA for LUW Upgrade from DB2 10.1: Certification Study Notes DB2 10.5 DBA for LUW Upgrade from DB2 10.1: Certification Study Notes
Here's everything you need to know to take and pass Exam 311, complete with a practice exam and study key.
List Price $21.95

Now On Sale

From Idea to Print From Idea to Print
Here's everything you need to know to turn your technical knowledge and expertise into a published article or book.
List Price $49.95

Now On Sale

DB2 9 Fundamentals (Exam 730) DB2 9 Fundamentals (Exam 730)
Use this review before taking the test to prove you've mastered the basics of DB2 9.
List Price $59.95

Now On Sale

DB2 9 for Linux, UNIX, and Windows Database Administration (Exam 731) DB2 9 for Linux, UNIX, and Windows Database Administration (Exam 731)
Use this indispensable study guide to prepare to take, and pass, Exam 731.
List Price $64.95

Now On Sale

DB2 9.7 for Linux, UNIX, and Windows Database Administration (Exam 541) DB2 9.7 for Linux, UNIX, and Windows Database Administration (Exam 541)
Get ready to take the DB2 9.7 certification exam with this handy study guide.
List Price $21.95

Now On Sale

DB2 9 for Linux, UNIX, and Windows Advanced Database Administration (Exam 734) DB2 9 for Linux, UNIX, and Windows Advanced Database Administration (Exam 734)
Review all exam topics and take the included practice test to be sure you're ready on testing day.
List Price $64.95

Now On Sale

DB2 9 for Linux, UNIX, and Windows Database Administration Upgrade (Exam 736) DB2 9 for Linux, UNIX, and Windows Database Administration Upgrade (Exam 736)
Prep for success with the master of DB2 certification study guides!
List Price $34.95

Now On Sale

Data Fabric: An Intelligent Data Architecture for AI Data Fabric: An Intelligent Data Architecture for AI
This book explains the concepts and values that a data fabric approach can deliver to both technical and business communities.
List Price $19.95

Now On Sale

More Articles By This Author
Related Articles


Support MC Press Online





  • White Paper: Node.js for Enterprise IBM i Modernization

    SB Profound WP 5539

    If your business is thinking about modernizing your legacy IBM i (also known as AS/400 or iSeries) applications, you will want to read this white paper first!

    Download this paper and learn how Node.js can ensure that you:
    - Modernize on-time and budget - no more lengthy, costly, disruptive app rewrites!
    - Retain your IBM i systems of record
    - Find and hire new development talent
    - Integrate new Node.js applications with your existing RPG, Java, .Net, and PHP apps
    - Extend your IBM i capabilties to include Watson API, Cloud, and Internet of Things

    Read Node.js for Enterprise IBM i Modernization Now!


  • Profound Logic Solution Guide

    SB Profound WP 5539More than ever, there is a demand for IT to deliver innovation.
    Your IBM i has been an essential part of your business operations for years. However, your organization may struggle to maintain the current system and implement new projects.
    The thousands of customers we've worked with and surveyed state that expectations regarding the digital footprint and vision of the companyare not aligned with the current IT environment.

    Get your copy of this important guide today!


  • 2022 IBM i Marketplace Survey Results

    Fortra2022 marks the eighth edition of the IBM i Marketplace Survey Results. Each year, Fortra captures data on how businesses use the IBM i platform and the IT and cybersecurity initiatives it supports.

    Over the years, this survey has become a true industry benchmark, revealing to readers the trends that are shaping and driving the market and providing insight into what the future may bring for this technology.

  • Brunswick bowls a perfect 300 with LANSA!

    FortraBrunswick is the leader in bowling products, services, and industry expertise for the development and renovation of new and existing bowling centers and mixed-use recreation facilities across the entertainment industry. However, the lifeblood of Brunswick’s capital equipment business was running on a 15-year-old software application written in Visual Basic 6 (VB6) with a SQL Server back-end. The application was at the end of its life and needed to be replaced.
    With the help of Visual LANSA, they found an easy-to-use, long-term platform that enabled their team to collaborate, innovate, and integrate with existing systems and databases within a single platform.
    Read the case study to learn how they achieved success and increased the speed of development by 30% with Visual LANSA.


  • Progressive Web Apps: Create a Universal Experience Across All Devices

    LANSAProgressive Web Apps allow you to reach anyone, anywhere, and on any device with a single unified codebase. This means that your applications—regardless of browser, device, or platform—instantly become more reliable and consistent. They are the present and future of application development, and more and more businesses are catching on.
    Download this whitepaper and learn:

    • How PWAs support fast application development and streamline DevOps
    • How to give your business a competitive edge using PWAs
    • What makes progressive web apps so versatile, both online and offline



  • The Power of Coding in a Low-Code Solution

    LANSAWhen it comes to creating your business applications, there are hundreds of coding platforms and programming languages to choose from. These options range from very complex traditional programming languages to Low-Code platforms where sometimes no traditional coding experience is needed.
    Download our whitepaper, The Power of Writing Code in a Low-Code Solution, and:

    • Discover the benefits of Low-code's quick application creation
    • Understand the differences in model-based and language-based Low-Code platforms
    • Explore the strengths of LANSA's Low-Code Solution to Low-Code’s biggest drawbacks



  • Why Migrate When You Can Modernize?

    LANSABusiness users want new applications now. Market and regulatory pressures require faster application updates and delivery into production. Your IBM i developers may be approaching retirement, and you see no sure way to fill their positions with experienced developers. In addition, you may be caught between maintaining your existing applications and the uncertainty of moving to something new.
    In this white paper, you’ll learn how to think of these issues as opportunities rather than problems. We’ll explore motivations to migrate or modernize, their risks and considerations you should be aware of before embarking on a (migration or modernization) project.
    Lastly, we’ll discuss how modernizing IBM i applications with optimized business workflows, integration with other technologies and new mobile and web user interfaces will enable IT – and the business – to experience time-added value and much more.


  • UPDATED: Developer Kit: Making a Business Case for Modernization and Beyond

    Profound Logic Software, Inc.Having trouble getting management approval for modernization projects? The problem may be you're not speaking enough "business" to them.

    This Developer Kit provides you study-backed data and a ready-to-use business case template to help get your very next development project approved!

  • What to Do When Your AS/400 Talent Retires

    FortraIT managers hoping to find new IBM i talent are discovering that the pool of experienced RPG programmers and operators or administrators is small.

    This guide offers strategies and software suggestions to help you plan IT staffing and resources and smooth the transition after your AS/400 talent retires. Read on to learn:

    • Why IBM i skills depletion is a top concern
    • How leading organizations are coping
    • Where automation will make the biggest impact


  • Node.js on IBM i Webinar Series Pt. 2: Setting Up Your Development Tools

    Profound Logic Software, Inc.Have you been wondering about Node.js? Our free Node.js Webinar Series takes you from total beginner to creating a fully-functional IBM i Node.js business application. In Part 2, Brian May teaches you the different tooling options available for writing code, debugging, and using Git for version control. Attend this webinar to learn:

    • Different tools to develop Node.js applications on IBM i
    • Debugging Node.js
    • The basics of Git and tools to help those new to it
    • Using as a pre-built development environment



  • Expert Tips for IBM i Security: Beyond the Basics

    SB PowerTech WC GenericIn this session, IBM i security expert Robin Tatam provides a quick recap of IBM i security basics and guides you through some advanced cybersecurity techniques that can help you take data protection to the next level. Robin will cover:

    • Reducing the risk posed by special authorities
    • Establishing object-level security
    • Overseeing user actions and data access

    Don't miss this chance to take your knowledge of IBM i security beyond the basics.



  • 5 IBM i Security Quick Wins

    SB PowerTech WC GenericIn today’s threat landscape, upper management is laser-focused on cybersecurity. You need to make progress in securing your systems—and make it fast.
    There’s no shortage of actions you could take, but what tactics will actually deliver the results you need? And how can you find a security strategy that fits your budget and time constraints?
    Join top IBM i security expert Robin Tatam as he outlines the five fastest and most impactful changes you can make to strengthen IBM i security this year.
    Your system didn’t become unsecure overnight and you won’t be able to turn it around overnight either. But quick wins are possible with IBM i security, and Robin Tatam will show you how to achieve them.

  • Security Bulletin: Malware Infection Discovered on IBM i Server!

    SB PowerTech WC GenericMalicious programs can bring entire businesses to their knees—and IBM i shops are not immune. It’s critical to grasp the true impact malware can have on IBM i and the network that connects to it. Attend this webinar to gain a thorough understanding of the relationships between:

    • Viruses, native objects, and the integrated file system (IFS)
    • Power Systems and Windows-based viruses and malware
    • PC-based anti-virus scanning versus native IBM i scanning

    There are a number of ways you can minimize your exposure to viruses. IBM i security expert Sandi Moore explains the facts, including how to ensure you're fully protected and compliant with regulations such as PCI.



  • Encryption on IBM i Simplified

    SB PowerTech WC GenericDB2 Field Procedures (FieldProcs) were introduced in IBM i 7.1 and have greatly simplified encryption, often without requiring any application changes. Now you can quickly encrypt sensitive data on the IBM i including PII, PCI, PHI data in your physical files and tables.
    Watch this webinar to learn how you can quickly implement encryption on the IBM i. During the webinar, security expert Robin Tatam will show you how to:

    • Use Field Procedures to automate encryption and decryption
    • Restrict and mask field level access by user or group
    • Meet compliance requirements with effective key management and audit trails


  • Lessons Learned from IBM i Cyber Attacks

    SB PowerTech WC GenericDespite the many options IBM has provided to protect your systems and data, many organizations still struggle to apply appropriate security controls.
    In this webinar, you'll get insight into how the criminals accessed these systems, the fallout from these attacks, and how the incidents could have been avoided by following security best practices.

    • Learn which security gaps cyber criminals love most
    • Find out how other IBM i organizations have fallen victim
    • Get the details on policies and processes you can implement to protect your organization, even when staff works from home

    You will learn the steps you can take to avoid the mistakes made in these examples, as well as other inadequate and misconfigured settings that put businesses at risk.



  • The Power of Coding in a Low-Code Solution

    SB PowerTech WC GenericWhen it comes to creating your business applications, there are hundreds of coding platforms and programming languages to choose from. These options range from very complex traditional programming languages to Low-Code platforms where sometimes no traditional coding experience is needed.
    Download our whitepaper, The Power of Writing Code in a Low-Code Solution, and:

    • Discover the benefits of Low-code's quick application creation
    • Understand the differences in model-based and language-based Low-Code platforms
    • Explore the strengths of LANSA's Low-Code Solution to Low-Code’s biggest drawbacks



  • Node Webinar Series Pt. 1: The World of Node.js on IBM i

    SB Profound WC GenericHave you been wondering about Node.js? Our free Node.js Webinar Series takes you from total beginner to creating a fully-functional IBM i Node.js business application.
    Part 1 will teach you what Node.js is, why it's a great option for IBM i shops, and how to take advantage of the ecosystem surrounding Node.
    In addition to background information, our Director of Product Development Scott Klement will demonstrate applications that take advantage of the Node Package Manager (npm).
    Watch Now.

  • The Biggest Mistakes in IBM i Security

    SB Profound WC Generic The Biggest Mistakes in IBM i Security
    Here’s the harsh reality: cybersecurity pros have to get their jobs right every single day, while an attacker only has to succeed once to do incredible damage.
    Whether that’s thousands of exposed records, millions of dollars in fines and legal fees, or diminished share value, it’s easy to judge organizations that fall victim. IBM i enjoys an enviable reputation for security, but no system is impervious to mistakes.
    Join this webinar to learn about the biggest errors made when securing a Power Systems server.
    This knowledge is critical for ensuring integrity of your application data and preventing you from becoming the next Equifax. It’s also essential for complying with all formal regulations, including SOX, PCI, GDPR, and HIPAA
    Watch Now.

  • Comply in 5! Well, actually UNDER 5 minutes!!

    SB CYBRA PPL 5382

    TRY the one package that solves all your document design and printing challenges on all your platforms.

    Produce bar code labels, electronic forms, ad hoc reports, and RFID tags – without programming! MarkMagic is the only document design and print solution that combines report writing, WYSIWYG label and forms design, and conditional printing in one integrated product.

    Request your trial now!

  • Backup and Recovery on IBM i: Your Strategy for the Unexpected

    FortraRobot automates the routine tasks of iSeries backup and recovery, saving you time and money and making the process safer and more reliable. Automate your backups with the Robot Backup and Recovery Solution. Key features include:
    - Simplified backup procedures
    - Easy data encryption
    - Save media management
    - Guided restoration
    - Seamless product integration
    Make sure your data survives when catastrophe hits. Try the Robot Backup and Recovery Solution FREE for 30 days.

  • Manage IBM i Messages by Exception with Robot

    SB HelpSystems SC 5413Managing messages on your IBM i can be more than a full-time job if you have to do it manually. How can you be sure you won’t miss important system events?
    Automate your message center with the Robot Message Management Solution. Key features include:
    - Automated message management
    - Tailored notifications and automatic escalation
    - System-wide control of your IBM i partitions
    - Two-way system notifications from your mobile device
    - Seamless product integration
    Try the Robot Message Management Solution FREE for 30 days.

  • Easiest Way to Save Money? Stop Printing IBM i Reports

    FortraRobot automates report bursting, distribution, bundling, and archiving, and offers secure, selective online report viewing.
    Manage your reports with the Robot Report Management Solution. Key features include:

    - Automated report distribution
    - View online without delay
    - Browser interface to make notes
    - Custom retention capabilities
    - Seamless product integration
    Rerun another report? Never again. Try the Robot Report Management Solution FREE for 30 days.

  • Hassle-Free IBM i Operations around the Clock

    SB HelpSystems SC 5413For over 30 years, Robot has been a leader in systems management for IBM i.
    Manage your job schedule with the Robot Job Scheduling Solution. Key features include:
    - Automated batch, interactive, and cross-platform scheduling
    - Event-driven dependency processing
    - Centralized monitoring and reporting
    - Audit log and ready-to-use reports
    - Seamless product integration
    Scale your software, not your staff. Try the Robot Job Scheduling Solution FREE for 30 days.