Welcome to another edition of Talsco Weekly
- News: IBM Lab Services is here to help connect the dots. Microsoft and Oracle join together to take on Amazon in the cloud.
- AI: The history of AI and Machine Learning. The differences of AI and ML.
- Development: Is Python the new Java? Why training entry-level on Legacy applications is important.
- ERP: The IBM i and the future of ERP.
- Which is better an ERP suite or best-of-breed?
- IBM Inventory Visibility a modular extension of your ERP.
- Agile Methodology and ERP.
- Modernization: ARCAD now offers modernization solutions from the database, to source code and the UI.
IBM Lab Services originated a decade ago to help companies deploy cutting-edge technology in the IBM i market.
Think about the following statements.
There are many IBM i shops that don’t push the envelope. They’re content to continue doing what they do on the box, as they have done for many years.
True. The backward compatibility and the rock-solid nature of the platform has allowed many organizations to run their systems as they have for 20 or more years.
But there’s also a group of companies that try to get more out of the box, who try to use the latest technologies to grow their business, cut costs, or improve efficiency.
We see this as well. There are many companies who are eager to leverage the platform by extending its reach to integrate and take advantage of AI, ML, and other open-source solutions.
In a nutshell, IBM Lab Services helps customers roll out the newer technologies on the IBM i platform until the knowledge and the skills become more mainstream.
IBM Lab Services offers expertise in Cloud, Virtualization, AI and Deep Learning, Big Data and Analytics, High-Performance Computing, Service Predictability, Database Migration and Optimization, SAP Hana and Security.
Oracle and Microsoft are set to take on Amazon.
- It’s just not possible to have everything run in the cloud.
- The cloud market is getting cloudy with the top players positioning themselves for market share.
- They are looking for applications and services work, not just the cloud business.
Do you need a RPG Developer?
We have a number of talented IBM i Consultants who can help extend your RPG applications to the web. Call us to learn more.
Like most technology, AI and ML have been around for a long time. Machine Learning debuts in 1950 and AI is introduced in 1956.
Here is a timeline of ML and AI. It takes time for technology to be perfected let alone for it to be accepted.
- 1950 Alan Turning and the Turning Test
- 1956 The Dartmouth Summer Research Project
- 1963 Defense Advanced Research Projects Agency (DARPA) starts and funds AI Research
- 1968 2001: A Space Odyssey is released.
- 1974 The First Winter of AI (research and investment in AI slow down)
- 1984 Common Sense AI with Douglas Lenat.
- 1997 IBM’s Deep Blue defeats world champion Garry Kasparov in Chess
- 2000 Google Search is driven by AI.
- 2011 Apple brings Siri to market
- 2012 Neural Networks are used to recognize cats by Google.
- 2015 TensorFlow, an ML platform is released by Google.
- 2017 Its AI-First, not Mobile First.
- 2019 AI in the future.
The difference between AI and ML
AI and ML is oftentimes used interchangeably. They are connected, but different.
AI describes machines’ ability to seemingly mimic human ways of thinking, learning as they go as opposed to following specific commands. ML is one of the most efficient—and popular—techniques that computers employ to gain that ability
More on this can be found here.
It was not that long ago that Java was a hot topic in RPG shops. But now, with AI and Machine Learning, Python seems to be where it is at.
Python’s popularity is being driven by its value in Data Science. Big data and data analytics is a big thing now and will be even bigger in the future.
This article supports why RPG will never go away.
As this article points out. COBOL like RPG does a really good job in a variety of application areas such as finance and manufacturing. Which is why the languages are still around. And they are not going away anytime soon.
Take away: This article addresses a key point that there is a need to understand both the new and the old.
You can try Go here.
Best-of-breed or new ERP is the question.
I have seen organizations go both directions. With success and failure. This article highlights the dilemma many organizations are in. Whatever direction you go, make sure you are all in.
Here is a modular supply chain application from IBM that is designed to extend your existing ERP system. It is a solution for the “best of breed” crowd, and for good reason.
“The time, cost, and risk to deploy is reduced using a cloud-based business service architecture designed to integrate seamlessly with existing order management or ERP systems”.
Most clients that we speak with, don’t have time, let alone the money in invest to migrate to another ERP platform. So, solutions like this are becoming more common. In fact, many IBM i shops are rethinking their ERP projects.
To learn more about IBM Inventory Visibility you can find it here.
“Enterprise resource planning (ERP) solutions are a fundamental asset for most large companies, yet ERP transformations remain time-consuming and complex. An agile approach has the potential to dramatically streamline ERP projects, but IT professionals have long believed agile to be incompatible with ERP. “
Modernization is more than a trend. As a result, vendors are racing to offer a suite of tools to help IBM i shops modernize. One such vendor is ARCAD.
They are “the only vendor able to offer a complete and fully integrated range of DevOps and Modernization solutions, from the database through the source code and now up to the UI. “
I am sure other vendors are not far behind.
“For these legacy organizations, the interactions between people, process and technology limit their ability to learn, discard, enhance, reconfigure and scale-up.”
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